Transform and model using the right tools
Get full control and flexibility with tools for every transformation need—from in-flight data shaping to complex modeling.
Transform and model using the right tools
Get full control and flexibility with tools for every transformation need—from in-flight data shaping to complex modeling.
Transform and model using the right tools
Get full control and flexibility with tools for every transformation need—from in-flight data shaping to complex modeling.
In-Flight Control
Configure and monitor transformations as data ingests, with no black-box steps. Gain total transparency and flexibility over in-flight data shaping.
In-Flight Control
Configure and monitor transformations as data ingests, with no black-box steps. Gain total transparency and flexibility over in-flight data shaping.
In-Flight Control
Configure and monitor transformations as data ingests, with no black-box steps. Gain total transparency and flexibility over in-flight data shaping.
Developer Productivity
Quickly set up, adapt, and troubleshoot transformations. Intuitive tools streamline evolution and diagnosis, reducing manual effort and boosting productivity.
Developer Productivity
Quickly set up, adapt, and troubleshoot transformations. Intuitive tools streamline evolution and diagnosis, reducing manual effort and boosting productivity.
Developer Productivity
Quickly set up, adapt, and troubleshoot transformations. Intuitive tools streamline evolution and diagnosis, reducing manual effort and boosting productivity.
Versatile Transformation
Support any transformation need—from wrangling semi-structured data to SQL transformations and complex dbt models—all in one place, without specialized ETL skills.
Versatile Transformation
Support any transformation need—from wrangling semi-structured data to SQL transformations and complex dbt models—all in one place, without specialized ETL skills.
ETL or ELT?
ETL or ELT?
ETL or ELT?
It’s about choosing the right process for each transformation.
It’s about choosing the right process for each transformation.
It’s about choosing the right process for each transformation.
Some tasks are best done before ingestion (ETL), while others, like joining and aggregating, make more sense after (ELT).
Some tasks are best done before ingestion (ETL), while others, like joining and aggregating, make more sense after (ELT).
Some tasks are best done before ingestion (ETL), while others, like joining and aggregating, make more sense after (ELT).
Etleap provides state-of-the-art tools for both, designed to integrate seamlessly into a long-term data pipeline architecture.
Etleap provides state-of-the-art tools for both, designed to integrate seamlessly into a long-term data pipeline architecture.
Etleap provides state-of-the-art tools for both, designed to integrate seamlessly into a long-term data pipeline architecture.
Transformation
via data wrangling
Etleap’s Data Wrangler gives you complete control over shaping data within your pipelines, enabling easy transformations without writing code. Rename columns, adjust data types, parse formats like JSON and CSV, and filter out sensitive or irrelevant data—all during ingestion so that your data is clean, structured, and ready for analysis as it enters your lakehouse.
Change names and types
The raw data doesn’t always have the right column names and types. Change them to what you want them to be.
Parse any data format
So many data formats, so little time to write and maintain parsing logic. Parse JSON, CSV, Parquet, XML, etc. without writing a line of code.
Filter rows and columns
Some data is sensitive, some data is irrelevant. Filter it out before it lands in your lake or warehouse.
Modeling
via dbt core
Etleap integrates your dbt Core models seamlessly with your data pipelines, providing a unified solution for scheduling, visibility, and continuous integration. With Etleap, you can ensure data freshness, gain full pipeline observability, and confidently deploy tested models to production—all within a single platform.
Unified scheduling for fresh data
Integrate your dbt builds with data ingestion into a single schedule, ensuring up-to-date models without relying on separate orchestration or DAG tools.
Complete pipeline visibility
Gain full visibility into your entire data pipeline, from source to consumption, providing end-to-end observability and a clear view of data flow.
Integrated CI for confidence
Etleap automatically runs builds on every commit, ensuring that your dbt Core models are tested and ready for production deployment.
Transformation
via data wrangling
Etleap’s Data Wrangler gives you complete control over shaping data within your pipelines, enabling easy transformations without writing code. Rename columns, adjust data types, parse formats like JSON and CSV, and filter out sensitive or irrelevant data—all during ingestion so that your data is clean, structured, and ready for analysis as it enters your lakehouse.
Unified scheduling for fresh data
Integrate your dbt builds with data ingestion into a single schedule, ensuring up-to-date models without relying on separate orchestration or DAG tools.
Parse any data format
Gain full visibility into your entire data pipeline, from source to consumption, providing end-to-end observability and a clear view of data flow.
Integrated CI for confidence
Etleap automatically runs builds on every commit, ensuring that your dbt Core models are tested and ready for production deployment.
Handle anomalies efficiently
Data might have been clean last week, but who’s to say it stays that way going forward? When data anomalies happen you need to be able to handle them efficiently. Etleap alerts you about and shows you samples of data that doesn’t fit your transformation script so you can quickly get back to a pristine data pipeline.
Leader
2024
FALL
4.9 (23)
By employing Etleap’s Data Wrangler, Morningstar can gather data from producers, then use Etleap’s modeling function to quickly and easily transform the data in ways that are intuitive to data consumers
Head of Technology
@ Morningstar
We love the Data Wrangler. It’s great at handling JSON and transformations, and supports Python and custom functions, which is really good for our engineers […]
Data Engineer
@ Zava
Having Etleap ingest line-delimited JSON is bulletproof. We point to an S3 bucket and path, the Data Wrangler pulls it apart, and we do any final touches to types and that’s it.
Engineering Manager
@ Bill.com
By employing Etleap’s Data Wrangler, Morningstar can gather data from producers, then use Etleap’s modeling function to quickly and easily transform the data in ways that are intuitive to data consumers
Head of Technology
@ Morningstar
We love the Data Wrangler. It’s great at handling JSON and transformations, and supports Python and custom functions, which is really good for our engineers […]
Data Engineer
@ Zava
Having Etleap ingest line-delimited JSON is bulletproof. We point to an S3 bucket and path, the Data Wrangler pulls it apart, and we do any final touches to types and that’s it.
Engineering Manager
@ Bill.com
By employing Etleap’s Data Wrangler, Morningstar can gather data from producers, then use Etleap’s modeling function to quickly and easily transform the data in ways that are intuitive to data consumers
Head of Technology
@ Morningstar
We love the Data Wrangler. It’s great at handling JSON and transformations, and supports Python and custom functions, which is really good for our engineers […]
Data Engineer
@ Zava
Having Etleap ingest line-delimited JSON is bulletproof. We point to an S3 bucket and path, the Data Wrangler pulls it apart, and we do any final touches to types and that’s it.
Engineering Manager
@ Bill.com
By employing Etleap’s Data Wrangler, Morningstar can gather data from producers, then use Etleap’s modeling function to quickly and easily transform the data in ways that are intuitive to data consumers
Head of Technology
@ Morningstar
We love the Data Wrangler. It’s great at handling JSON and transformations, and supports Python and custom functions, which is really good for our engineers […]
Data Engineer
@ Zava
Having Etleap ingest line-delimited JSON is bulletproof. We point to an S3 bucket and path, the Data Wrangler pulls it apart, and we do any final touches to types and that’s it.
Engineering Manager
@ Bill.com
Modeling
via dbt core
Etleap integrates your dbt Core models seamlessly with your data pipelines, providing a unified solution for scheduling, visibility, and continuous integration. With Etleap, you can ensure data freshness, gain full pipeline observability, and confidently deploy tested models to production—all within a single platform.
Unified scheduling for fresh data
Integrate your dbt builds with data ingestion into a single schedule, ensuring up-to-date models without relying on separate orchestration or DAG tools.
Complete pipeline visibility
Gain full visibility into your entire data pipeline, from source to consumption, providing end-to-end observability and a clear view of data flow.
Integrated CI for confidence
Etleap automatically runs builds on every commit, ensuring that your dbt Core models are tested and ready for production deployment.
Transformation via data wrangling
Etleap can be deployed inside AWS VPCs for policy/regulatory compliance and data security, and at the same time provide the user experience of a cloud-native SaaS application.
Change names and types
The raw data doesn’t always have the right column names and types. Change them to what you want them to be.
Parse any data format
So many data formats, so little time to write and maintain parsing logic. Parse JSON, CSV, Parquet, XML, etc. without writing a line of code.
Filter rows and columns
Some data is sensitive, some data is irrelevant. Filter it out before it lands in your lake or warehouse.
See all transforms
Modeling
via dbt core
Etleap integrates your dbt Core models seamlessly with your data pipelines, providing a unified solution for scheduling, visibility, and continuous integration. With Etleap, you can ensure data freshness, gain full pipeline observability, and confidently deploy tested models to production—all within a single platform.
Unified scheduling for fresh data
Integrate your dbt builds with data ingestion into a single schedule, ensuring up-to-date models without relying on separate orchestration or DAG tools.
Complete pipeline visibility
Gain full visibility into your entire data pipeline, from source to consumption, providing end-to-end observability and a clear view of data flow.
Integrated CI for confidence
Etleap automatically runs builds on every commit, ensuring that your dbt Core models are tested and ready for production deployment.
“When COVID hit and we realized our vaccine would lead to company hyper-growth, we knew we had to accelerate building our new analytics platform. We don’t have to worry about scalability, because of the way Etleap is architected with auto-scaling EMR clusters. Some of the sources contain many terabytes of data, and the pipelines to bring them into our platform just work.”
Director of Data Platform
@ Moderna
100+ sources ingested
into analytics platform
5+ custom integrations
for specific analytics
“It took six weeks to get our tech stack up and running. Going from no central access to having full adoption across the enterprise in under a year is pretty remarkable. The Etleap and Looker partnership, and the way they came together into one solution, was a big piece of the puzzle and was very attractive to us.”
VP of Enterprise Ops
@ eMoney
6-week implementation
from kickoff to production
2-person team
managing analytics stack
“Etleap allows us to extract data from all our different sources—whether it’s SQL Server, MySQL, or even non-relational databases—and unify it into a coherent data mart. This has been crucial for our real-time decision-making.”
Senior Data Engineer
@ Empark
400% increase
in ETL staffing efficiency
1 million+ rows
ingested daily
“Etleap enables us to quickly integrate and centralize complex data sources, accelerating our analytics and empowering teams with faster, more reliable insights. This capability allows us to drive better investment decisions and deliver greater value to our clients.”
Head of Technology
@ Morningstar
>2 years saved
on time-to-build
50% cost reduction
in ETL costs
“When COVID hit and we realized our vaccine would lead to company hyper-growth, we knew we had to accelerate building our new analytics platform. We don’t have to worry about scalability, because of the way Etleap is architected with auto-scaling EMR clusters. Some of the sources contain many terabytes of data, and the pipelines to bring them into our platform just work.”
Director of Data Platform
@ Moderna
100+ sources ingested
into analytics platform
5+ custom integrations
for specific analytics
“It took six weeks to get our tech stack up and running. Going from no central access to having full adoption across the enterprise in under a year is pretty remarkable. The Etleap and Looker partnership, and the way they came together into one solution, was a big piece of the puzzle and was very attractive to us.”
VP of Enterprise Ops
@ eMoney
6-week implementation
from kickoff to production
2-person team
managing analytics stack
“Etleap allows us to extract data from all our different sources—whether it’s SQL Server, MySQL, or even non-relational databases—and unify it into a coherent data mart. This has been crucial for our real-time decision-making.”
Senior Data Engineer
@ Empark
400% increase
in ETL staffing efficiency
1 million+ rows
ingested daily
“Etleap enables us to quickly integrate and centralize complex data sources, accelerating our analytics and empowering teams with faster, more reliable insights. This capability allows us to drive better investment decisions and deliver greater value to our clients.”
Head of Technology
@ Morningstar
>2 years saved
on time-to-build
50% cost reduction
in ETL costs
“When COVID hit and we realized our vaccine would lead to company hyper-growth, we knew we had to accelerate building our new analytics platform. We don’t have to worry about scalability, because of the way Etleap is architected with auto-scaling EMR clusters. Some of the sources contain many terabytes of data, and the pipelines to bring them into our platform just work.”
Director of Data Platform
@ Moderna
100+ sources ingested
into analytics platform
5+ custom integrations
for specific analytics
“It took six weeks to get our tech stack up and running. Going from no central access to having full adoption across the enterprise in under a year is pretty remarkable. The Etleap and Looker partnership, and the way they came together into one solution, was a big piece of the puzzle and was very attractive to us.”
VP of Enterprise Ops
@ eMoney
6-week implementation
from kickoff to production
2-person team
managing analytics stack
“Etleap allows us to extract data from all our different sources—whether it’s SQL Server, MySQL, or even non-relational databases—and unify it into a coherent data mart. This has been crucial for our real-time decision-making.”
Senior Data Engineer
@ Empark
400% increase
in ETL staffing efficiency
1 million+ rows
ingested daily
“Etleap enables us to quickly integrate and centralize complex data sources, accelerating our analytics and empowering teams with faster, more reliable insights. This capability allows us to drive better investment decisions and deliver greater value to our clients.”
Head of Technology
@ Morningstar
>2 years saved
on time-to-build
50% cost reduction
in ETL costs
“When COVID hit and we realized our vaccine would lead to company hyper-growth, we knew we had to accelerate building our new analytics platform. We don’t have to worry about scalability, because of the way Etleap is architected with auto-scaling EMR clusters. Some of the sources contain many terabytes of data, and the pipelines to bring them into our platform just work.”
Director of Data Platform
@ Moderna
100+ sources ingested
into analytics platform
5+ custom integrations
for specific analytics
“It took six weeks to get our tech stack up and running. Going from no central access to having full adoption across the enterprise in under a year is pretty remarkable. The Etleap and Looker partnership, and the way they came together into one solution, was a big piece of the puzzle and was very attractive to us.”
VP of Enterprise Ops
@ eMoney
6-week implementation
from kickoff to production
2-person team
managing analytics stack
“Etleap allows us to extract data from all our different sources—whether it’s SQL Server, MySQL, or even non-relational databases—and unify it into a coherent data mart. This has been crucial for our real-time decision-making.”
Senior Data Engineer
@ Empark
400% increase
in ETL staffing efficiency
1 million+ rows
ingested daily
“Etleap enables us to quickly integrate and centralize complex data sources, accelerating our analytics and empowering teams with faster, more reliable insights. This capability allows us to drive better investment decisions and deliver greater value to our clients.”
Head of Technology
@ Morningstar
>2 years saved
on time-to-build
50% cost reduction
in ETL costs
“When COVID hit and we realized our vaccine would lead to company hyper-growth, we knew we had to accelerate building our new analytics platform. We don’t have to worry about scalability, because of the way Etleap is architected with auto-scaling EMR clusters. Some of the sources contain many terabytes of data, and the pipelines to bring them into our platform just work.”
Director of Data Platform
@ Moderna
100+ sources ingested
into analytics platform
5+ custom integrations
for specific analytics
“It took six weeks to get our tech stack up and running. Going from no central access to having full adoption across the enterprise in under a year is pretty remarkable. The Etleap and Looker partnership, and the way they came together into one solution, was a big piece of the puzzle and was very attractive to us.”
VP of Enterprise Ops
@ eMoney
6-week implementation
from kickoff to production
2-person team
managing analytics stack
“Etleap allows us to extract data from all our different sources—whether it’s SQL Server, MySQL, or even non-relational databases—and unify it into a coherent data mart. This has been crucial for our real-time decision-making.”
Senior Data Engineer
@ Empark
400% increase
in ETL staffing efficiency
1 million+ rows
ingested daily
“Etleap enables us to quickly integrate and centralize complex data sources, accelerating our analytics and empowering teams with faster, more reliable insights. This capability allows us to drive better investment decisions and deliver greater value to our clients.”
Head of Technology
@ Morningstar
>2 years saved
on time-to-build
50% cost reduction
in ETL costs
“When COVID hit and we realized our vaccine would lead to company hyper-growth, we knew we had to accelerate building our new analytics platform. We don’t have to worry about scalability, because of the way Etleap is architected with auto-scaling EMR clusters. Some of the sources contain many terabytes of data, and the pipelines to bring them into our platform just work.”
Director of Data Platform
@ Moderna
100+ sources ingested
into analytics platform
5+ custom integrations
for specific analytics
“It took six weeks to get our tech stack up and running. Going from no central access to having full adoption across the enterprise in under a year is pretty remarkable. The Etleap and Looker partnership, and the way they came together into one solution, was a big piece of the puzzle and was very attractive to us.”
VP of Enterprise Ops
@ eMoney
6-week implementation
from kickoff to production
2-person team
managing analytics stack
“Etleap allows us to extract data from all our different sources—whether it’s SQL Server, MySQL, or even non-relational databases—and unify it into a coherent data mart. This has been crucial for our real-time decision-making.”
Senior Data Engineer
@ Empark
400% increase
in ETL staffing efficiency
1 million+ rows
ingested daily
“Etleap enables us to quickly integrate and centralize complex data sources, accelerating our analytics and empowering teams with faster, more reliable insights. This capability allows us to drive better investment decisions and deliver greater value to our clients.”
Head of Technology
@ Morningstar
>2 years saved
on time-to-build
50% cost reduction
in ETL costs
“When COVID hit and we realized our vaccine would lead to company hyper-growth, we knew we had to accelerate building our new analytics platform. We don’t have to worry about scalability, because of the way Etleap is architected with auto-scaling EMR clusters. Some of the sources contain many terabytes of data, and the pipelines to bring them into our platform just work.”
Director of Data Platform
@ Moderna
100+ sources ingested
into analytics platform
5+ custom integrations
for specific analytics
“It took six weeks to get our tech stack up and running. Going from no central access to having full adoption across the enterprise in under a year is pretty remarkable. The Etleap and Looker partnership, and the way they came together into one solution, was a big piece of the puzzle and was very attractive to us.”
VP of Enterprise Ops
@ eMoney
6-week implementation
from kickoff to production
2-person team
managing analytics stack
“Etleap allows us to extract data from all our different sources—whether it’s SQL Server, MySQL, or even non-relational databases—and unify it into a coherent data mart. This has been crucial for our real-time decision-making.”
Senior Data Engineer
@ Empark
400% increase
in ETL staffing efficiency
1 million+ rows
ingested daily
“Etleap enables us to quickly integrate and centralize complex data sources, accelerating our analytics and empowering teams with faster, more reliable insights. This capability allows us to drive better investment decisions and deliver greater value to our clients.”
Head of Technology
@ Morningstar
>2 years saved
on time-to-build
50% cost reduction
in ETL costs
“When COVID hit and we realized our vaccine would lead to company hyper-growth, we knew we had to accelerate building our new analytics platform. We don’t have to worry about scalability, because of the way Etleap is architected with auto-scaling EMR clusters. Some of the sources contain many terabytes of data, and the pipelines to bring them into our platform just work.”
Director of Data Platform
@ Moderna
100+ sources ingested
into analytics platform
5+ custom integrations
for specific analytics
“It took six weeks to get our tech stack up and running. Going from no central access to having full adoption across the enterprise in under a year is pretty remarkable. The Etleap and Looker partnership, and the way they came together into one solution, was a big piece of the puzzle and was very attractive to us.”
VP of Enterprise Ops
@ eMoney
6-week implementation
from kickoff to production
2-person team
managing analytics stack
“Etleap allows us to extract data from all our different sources—whether it’s SQL Server, MySQL, or even non-relational databases—and unify it into a coherent data mart. This has been crucial for our real-time decision-making.”
Senior Data Engineer
@ Empark
400% increase
in ETL staffing efficiency
1 million+ rows
ingested daily
“Etleap enables us to quickly integrate and centralize complex data sources, accelerating our analytics and empowering teams with faster, more reliable insights. This capability allows us to drive better investment decisions and deliver greater value to our clients.”
Head of Technology
@ Morningstar
>2 years saved
on time-to-build
50% cost reduction
in ETL costs
“When COVID hit and we realized our vaccine would lead to company hyper-growth, we knew we had to accelerate building our new analytics platform. We don’t have to worry about scalability, because of the way Etleap is architected with auto-scaling EMR clusters. Some of the sources contain many terabytes of data, and the pipelines to bring them into our platform just work.”
Director of Data Platform
@ Moderna
100+ sources ingested
into analytics platform
5+ custom integrations
for specific analytics
“It took six weeks to get our tech stack up and running. Going from no central access to having full adoption across the enterprise in under a year is pretty remarkable. The Etleap and Looker partnership, and the way they came together into one solution, was a big piece of the puzzle and was very attractive to us.”
VP of Enterprise Ops
@ eMoney
6-week implementation
from kickoff to production
2-person team
managing analytics stack
“Etleap allows us to extract data from all our different sources—whether it’s SQL Server, MySQL, or even non-relational databases—and unify it into a coherent data mart. This has been crucial for our real-time decision-making.”
Senior Data Engineer
@ Empark
400% increase
in ETL staffing efficiency
1 million+ rows
ingested daily
“Etleap enables us to quickly integrate and centralize complex data sources, accelerating our analytics and empowering teams with faster, more reliable insights. This capability allows us to drive better investment decisions and deliver greater value to our clients.”
Head of Technology
@ Morningstar
>2 years saved
on time-to-build
50% cost reduction
in ETL costs
“When COVID hit and we realized our vaccine would lead to company hyper-growth, we knew we had to accelerate building our new analytics platform. We don’t have to worry about scalability, because of the way Etleap is architected with auto-scaling EMR clusters. Some of the sources contain many terabytes of data, and the pipelines to bring them into our platform just work.”
Director of Data Platform
@ Moderna
100+ sources ingested
into analytics platform
5+ custom integrations
for specific analytics
“It took six weeks to get our tech stack up and running. Going from no central access to having full adoption across the enterprise in under a year is pretty remarkable. The Etleap and Looker partnership, and the way they came together into one solution, was a big piece of the puzzle and was very attractive to us.”
VP of Enterprise Ops
@ eMoney
6-week implementation
from kickoff to production
2-person team
managing analytics stack
“Etleap allows us to extract data from all our different sources—whether it’s SQL Server, MySQL, or even non-relational databases—and unify it into a coherent data mart. This has been crucial for our real-time decision-making.”
Senior Data Engineer
@ Empark
400% increase
in ETL staffing efficiency
1 million+ rows
ingested daily
“Etleap enables us to quickly integrate and centralize complex data sources, accelerating our analytics and empowering teams with faster, more reliable insights. This capability allows us to drive better investment decisions and deliver greater value to our clients.”
Head of Technology
@ Morningstar
>2 years saved
on time-to-build
50% cost reduction
in ETL costs
“When COVID hit and we realized our vaccine would lead to company hyper-growth, we knew we had to accelerate building our new analytics platform. We don’t have to worry about scalability, because of the way Etleap is architected with auto-scaling EMR clusters. Some of the sources contain many terabytes of data, and the pipelines to bring them into our platform just work.”
Director of Data Platform
@ Moderna
100+ sources ingested
into analytics platform
5+ custom integrations
for specific analytics
“It took six weeks to get our tech stack up and running. Going from no central access to having full adoption across the enterprise in under a year is pretty remarkable. The Etleap and Looker partnership, and the way they came together into one solution, was a big piece of the puzzle and was very attractive to us.”
VP of Enterprise Ops
@ eMoney
6-week implementation
from kickoff to production
2-person team
managing analytics stack
“Etleap allows us to extract data from all our different sources—whether it’s SQL Server, MySQL, or even non-relational databases—and unify it into a coherent data mart. This has been crucial for our real-time decision-making.”
Senior Data Engineer
@ Empark
400% increase
in ETL staffing efficiency
1 million+ rows
ingested daily
“Etleap enables us to quickly integrate and centralize complex data sources, accelerating our analytics and empowering teams with faster, more reliable insights. This capability allows us to drive better investment decisions and deliver greater value to our clients.”
Head of Technology
@ Morningstar
>2 years saved
on time-to-build
50% cost reduction
in ETL costs
“When COVID hit and we realized our vaccine would lead to company hyper-growth, we knew we had to accelerate building our new analytics platform. We don’t have to worry about scalability, because of the way Etleap is architected with auto-scaling EMR clusters. Some of the sources contain many terabytes of data, and the pipelines to bring them into our platform just work.”
Director of Data Platform
@ Moderna
100+ sources ingested
into analytics platform
5+ custom integrations
for specific analytics
“It took six weeks to get our tech stack up and running. Going from no central access to having full adoption across the enterprise in under a year is pretty remarkable. The Etleap and Looker partnership, and the way they came together into one solution, was a big piece of the puzzle and was very attractive to us.”
VP of Enterprise Ops
@ eMoney
6-week implementation
from kickoff to production
2-person team
managing analytics stack
“Etleap allows us to extract data from all our different sources—whether it’s SQL Server, MySQL, or even non-relational databases—and unify it into a coherent data mart. This has been crucial for our real-time decision-making.”
Senior Data Engineer
@ Empark
400% increase
in ETL staffing efficiency
1 million+ rows
ingested daily
“Etleap enables us to quickly integrate and centralize complex data sources, accelerating our analytics and empowering teams with faster, more reliable insights. This capability allows us to drive better investment decisions and deliver greater value to our clients.”
Head of Technology
@ Morningstar
>2 years saved
on time-to-build
50% cost reduction
in ETL costs
“Etleap enables us to quickly integrate and centralize complex data sources, accelerating our analytics and empowering teams with faster, more reliable insights. This capability allows us to drive better investment decisions and deliver greater value to our clients.”
Head of Technology
@ Morningstar
>2 years saved
on time-to-build
50% cost reduction
in ETL costs
“When COVID hit and we realized our vaccine would lead to company hyper-growth, we knew we had to accelerate building our new analytics platform. We don’t have to worry about scalability, because of the way Etleap is architected with auto-scaling EMR clusters. Some of the sources contain many terabytes of data, and the pipelines to bring them into our platform just work.”
Director of Data Platform
@ Moderna
100+ sources ingested
into analytics platform
5+ custom integrations
for specific analytics
“It took six weeks to get our tech stack up and running. Going from no central access to having full adoption across the enterprise in under a year is pretty remarkable. The Etleap and Looker partnership, and the way they came together into one solution, was a big piece of the puzzle and was very attractive to us.”
VP of Enterprise Ops
@ eMoney
6-week implementation
from kickoff to production
2-person team
managing analytics stack
“Etleap allows us to extract data from all our different sources—whether it’s SQL Server, MySQL, or even non-relational databases—and unify it into a coherent data mart. This has been crucial for our real-time decision-making.”
Senior Data Engineer
@ Empark
400% increase
in ETL staffing efficiency
1 million+ rows
ingested daily
“Etleap enables us to quickly integrate and centralize complex data sources, accelerating our analytics and empowering teams with faster, more reliable insights. This capability allows us to drive better investment decisions and deliver greater value to our clients.”
Head of Technology
@ Morningstar
>2 years saved
on time-to-build
50% cost reduction
in ETL costs
“When COVID hit and we realized our vaccine would lead to company hyper-growth, we knew we had to accelerate building our new analytics platform. We don’t have to worry about scalability, because of the way Etleap is architected with auto-scaling EMR clusters. Some of the sources contain many terabytes of data, and the pipelines to bring them into our platform just work.”
Director of Data Platform
@ Moderna
100+ sources ingested
into analytics platform
5+ custom integrations
for specific analytics
“It took six weeks to get our tech stack up and running. Going from no central access to having full adoption across the enterprise in under a year is pretty remarkable. The Etleap and Looker partnership, and the way they came together into one solution, was a big piece of the puzzle and was very attractive to us.”
VP of Enterprise Ops
@ eMoney
6-week implementation
from kickoff to production
2-person team
managing analytics stack
“Etleap allows us to extract data from all our different sources—whether it’s SQL Server, MySQL, or even non-relational databases—and unify it into a coherent data mart. This has been crucial for our real-time decision-making.”
Senior Data Engineer
@ Empark
400% increase
in ETL staffing efficiency
1 million+ rows
ingested daily
“Etleap enables us to quickly integrate and centralize complex data sources, accelerating our analytics and empowering teams with faster, more reliable insights. This capability allows us to drive better investment decisions and deliver greater value to our clients.”
Head of Technology
@ Morningstar
>2 years saved
on time-to-build
50% cost reduction
in ETL costs
“When COVID hit and we realized our vaccine would lead to company hyper-growth, we knew we had to accelerate building our new analytics platform. We don’t have to worry about scalability, because of the way Etleap is architected with auto-scaling EMR clusters. Some of the sources contain many terabytes of data, and the pipelines to bring them into our platform just work.”
Director of Data Platform
@ Moderna
100+ sources ingested
into analytics platform
5+ custom integrations
for specific analytics
“It took six weeks to get our tech stack up and running. Going from no central access to having full adoption across the enterprise in under a year is pretty remarkable. The Etleap and Looker partnership, and the way they came together into one solution, was a big piece of the puzzle and was very attractive to us.”
VP of Enterprise Ops
@ eMoney
6-week implementation
from kickoff to production
2-person team
managing analytics stack
“Etleap allows us to extract data from all our different sources—whether it’s SQL Server, MySQL, or even non-relational databases—and unify it into a coherent data mart. This has been crucial for our real-time decision-making.”
Senior Data Engineer
@ Empark
400% increase
in ETL staffing efficiency
1 million+ rows
ingested daily
“Etleap enables us to quickly integrate and centralize complex data sources, accelerating our analytics and empowering teams with faster, more reliable insights. This capability allows us to drive better investment decisions and deliver greater value to our clients.”
Head of Technology
@ Morningstar
>2 years saved
on time-to-build
50% cost reduction
in ETL costs
“When COVID hit and we realized our vaccine would lead to company hyper-growth, we knew we had to accelerate building our new analytics platform. We don’t have to worry about scalability, because of the way Etleap is architected with auto-scaling EMR clusters. Some of the sources contain many terabytes of data, and the pipelines to bring them into our platform just work.”
Director of Data Platform
@ Moderna
100+ sources ingested
into analytics platform
5+ custom integrations
for specific analytics
“It took six weeks to get our tech stack up and running. Going from no central access to having full adoption across the enterprise in under a year is pretty remarkable. The Etleap and Looker partnership, and the way they came together into one solution, was a big piece of the puzzle and was very attractive to us.”
VP of Enterprise Ops
@ eMoney
6-week implementation
from kickoff to production
2-person team
managing analytics stack
“Etleap allows us to extract data from all our different sources—whether it’s SQL Server, MySQL, or even non-relational databases—and unify it into a coherent data mart. This has been crucial for our real-time decision-making.”
Senior Data Engineer
@ Empark
400% increase
in ETL staffing efficiency
1 million+ rows
ingested daily
4.9 (23)
Leader
2024
FALL
SOC II
HIPAA
GDPR
CCPA
Ingest and model data with best-in-class tools and support.
4.9 (23)
Leader
2024
FALL
SOC II
HIPAA
GDPR
CCPA
Ingest and model data with best-in-class tools and support.
4.9 (23)
Leader
2024
FALL
SOC II
HIPAA
GDPR
CCPA