lines

Extract & Load

Smooth pipelines with in-depth integration

Ingest data in minutes

  1. folder icon

    Step 1

    Choose your source

    Connect Etleap ETL to your application, database, file store, or event stream.

  2. checkmarks icon

    Step 2

    Select your data

    View the data entities available in your source, and select which ones to ingest.

  3. target icon

    Step 3

    Pick Your Destination

    Select the location within your warehouse or lake where Etleap ETL will load the data.

Extract from any source including 50+ out of the box

Etleap ETL includes an extensive list of data sources for plug-and-play, no-code pipeline creation. These span across databases, files, event streams, applications and more.

Etleap-supported sources typically cover the vast majority of customers’ data sources. When you select a data integration tool, though, it doesn’t matter if the list has 1,000 different sources if your key data source isn’t included. Etleap ETL is architected for fast expansion of sources and will build one within weeks if you need a new integration.

orange dot on path purple dot on path green dot on path blue dot on path
Etleap logo

  • Databases

    database icon
    mysql logo
    oracle logo
    mongo db logo
    postgresql logo
    sql server logo
    + many more

    CDC and query-based extraction from all major databases

  • Applications

    applications icon
    salesforce logo
    workday logo
    google adwords logo
    google analytics logo
    jira software logo
    + many more

    Native integrations for web-based and on-premises applications

  • Files

    files icon
    google cloud storage logo
    s3 logo
    ftp logo
    sftp logo
    google sheets logo

    Tame semi-structured data from S3, SFTP, and other file stores

  • Event Streams

    event streams icon
    kafka logo
    webhooks logo
    fluentd logo

    Ingest events from webhooks, Kafka, and more, with 99.99% availability

  • SSH tunnels
  • VPC peering
  • VPN connections
database icon

Databases

applications icon

Applications

files icon

Files

streams icon

Event Streams

orange dot on path orange dot on path orange dot on path orange dot on path

Databases

CDC and query-based extraction from all major databases

×

Applications

Native integrations for web-based and on-premises applications

×

Files

Tame semi-structured data from S3, SFTP, and other file stores

×

Event Streams

Ingest events from webhooks, Kafka, and more, with 99.99% availability

×

Deep destination integration

Customers adopt a centralized data repository to reduce complexity, consolidate analytics, and build organizational trust in data.

Whether it’s a cloud data warehouse or data lake, customers are wise to select an ingest tool that tightly integrates with that destination. As a cloud-native platform, Etleap has invested in this deep integration for Redshift, Snowflake, and S3.

Etleap logo
redshift logo

Amazon Redshift

snowflake logo

Snowflake

s3 bucket logo

Amazon S3

Seamless data integration for your cloud data warehouse

As the popularity of Amazon Redshift and Snowflake has taken off, Etleap’s tight integrations let customers quickly get value from their data.

  • redshift logo redshift logo text

    Etleap is a proud AWS Select partner that works closely with the Redshift product team. Etleap enables customers to fully utilize even the newest Redshift features such as Streaming Ingestion, Data Sharing, and Materialized Views.

  • Etleap is a proud Snowflake Ready partner, available on Partner Connect. The Etleap ETL Snowflake integration is built to take advantage of the power of Snowflake, managing compute resources to minimize ETL costs.

Integrated data lakes made easy

Where many integration products can help fill data lakes, Etleap ETL also makes your ingested data usable for analytics and data products. It integrates tightly with S3 and AWS Glue Catalog, and Etleap’s extensible architecture lets customers integrate Data Quality tools into their pipelines and populate external Data Catalog tools with schemas and data lineage.

Etleap logo

data lake

  • Record upserts and deletes
  • Adding and removing columns
  • User-defined partitions

AWS Glue Data Catalog

  • Incremental updates
  • Compressed Parquet
  • Snapshot generation support

Amazon S3

schema

data

Where many integration products can help fill data lakes, Etleap ETL also makes your ingested data usable for analytics and data products. It integrates tightly with S3 and AWS Glue Catalog, and Etleap’s extensible architecture lets customers integrate Data Quality tools into their pipelines and populate external Data Catalog tools with schemas and data lineage.

It’s great that data lakes can store most of your raw data, but when data is left fragmented, analytic processing is slow and difficult. Etleap ETL generates Snappy-compressed Parquet files, creates corresponding Glue Catalog tables, and updates these tables as incremental loads happen. This brings structure to the data in the lake, makes it analytics-ready, and accelerates query performance.

Etleap ETL further improves lake usability with support for snapshots, user-defined partitions, and incremental schema changes. Snapshots ensure queries run on data closer to the size of source data rather than a much larger data set of all incremental changes. User-defined partitions help organize data and improve query performance. Incremental schema change support means users don’t have to manually update the lake’s metadata to incorporate new and removed columns.

Database Change Data Capture (CDC) made easy

Modern data teams need CDC for data integration

Providing comprehensive operational database data into a downstream hub is not straightforward. Extraction must minimize its impact on the database yet still constantly keep the downstream repository up to date. Query-based and batch approaches satisfy some cases but are not complete or fast enough for most data teams. Change Data Capture (CDC) enables fast availability of current data, and Etleap ETL delivers CDC functionality that customers can use with ease.

Validating that source databases are properly configured

cdc screenshot
  • drives logo

    CDC that just works

    Etleap ETL manages the end-to-end CDC pipelines for customers, utilizing AWS Database Migration Service (AWS DMS) to provide enterprise-grade CDC from all major databases, including MySQL, PostgreSQL, SQL Server, and more. Etleap ETL streamlines setup, validating that source databases are properly configured and identifying the gaps if not. DMS receives the database replication log streams, and Etleap manages populating the downstream destination.

  • loop logo

    … without the complexity

    Etleap ETL abstracts away the challenges of CDC to make it accessible to both engineers and analysts, providing end-to-end setup in under five minutes. The primary user activity is simply selecting individual database tables. Etleap ETL also makes pipeline management easy. It identifies any abnormalities in CDC pipelines and gives the user simple resolution steps without requiring any user interaction with DMS.

Customer Case Studies

See why modern data teams choose Etleap

You’re only moments away from a better way of doing ETL. We have expert, hands-on data engineers at the ready, 30-day free trials, and the best data pipelines in town, so what are you waiting for?

Request a Demo