A technical look at how Etleap uses Iceberg branching to convert streaming equality deletes into deletion vectors, achieving sub-minute freshness readable anywhere.

A practical guide to writing dbt models as Iceberg tables through Snowflake's Catalog Linked Database.

We’re excited to launch the Iceberg pipeline platform! In this post, we explain why Iceberg needs a pipeline layer and how Etleap makes it practical to run day to day.

Etleap's 15‑second ingestion & modeling pipeline, Powered by Snowflake, will enable joint customers to surface analytics‑ready insights in seconds while simplifying their data stack.

Extract SAP data through OData/CDS and stream it into your analytics platform of choice. High performance, automatic deltas, and fully managed reliability - no fragile pipelines.

On the AWS Database Blog: Etleap & AWS DMS deliver sub-5-second, exactly-once CDC into Apache Iceberg for real-time, multi-engine analytics.

Meet Etleap at Snowflake Summit 2025! See live demos, connect with Solutions Architects, and join our exclusive yacht sunset cruise.

Moderna used AWS-native Etleap pipelines and Redshift to manage exponential data growth, supporting scientific research and regulatory compliance.

In biotech, where data drives key decisions, seamless integration and analysis of information from various sources is a necessity, not a luxury.

ThredUp's Databricks migration and need for a stronger ETL partner, combined with AI-powered E-commerce, made Etleap a key factor in their market leadership.

We’re excited to add Apache Iceberg as a data destination in Etleap! In this post, we explore what Iceberg is, its impact on ETL, and how it benefits your data workflows.

Etleap now supports User-Defined API Connections, enabling users to seamlessly ingest data from any API without needing a pre-built integration.

Empark integrated Etleap into its modern data stack, enabling self-serve insights that drive profit growth and improve environmental impact.

Boost Insurance improved Snowflake pipeline reliability with Etleap’s efficient data transfer solution. They now experience minimal downtime and a scalable pricing model.

Etleap, Amazon Redshift, and dbt simplify end-to-end data pipelines for efficient data ingestion and transformation, improving data freshness with minimal setup.

PagerDuty streamlined its data pipelines with Etleap and AWS Redshift, reducing setup time and empowering teams to access analytics on demand.

In under five years, TIER Mobility became the world’s largest micro-mobility company, with robust ETL at the heart of its data stack to support scalability and growth.

Etleap now supports end-to-end pipelines with dbt Core, streamlining data workflows and enhancing analytics stack!

In a guest feature on insideBIGDATA, Etleap CEO Christian Romming shares strategies to accelerate migrating to a cloud data warehouse.

Etleap and Amazon Redshift Serverless optimize ETL costs by scaling compute resources and minimizing idle time, ensuring efficient, cost-effective data pipelines.

In partnership with AWS DMS, this post is featured on the AWS Database Blog. AWS DMS enables CDC into AWS, and Etleap enhances it with features like source validation, schema management, and error handling.

Etleap CEO Christian Romming recently sat down with former Gartner analyst Nick Heudecker on the Data Mesh Learning program.

Many Etleap customers are adopting data mesh, a decentralized approach where business teams manage data and analytics, while key functions like a self-serve platform remain centrally managed.

In this on-demand webinar, Morningstar’s Jeff Hirsch discusses 5 steps to harmonize financial expertise with strategic data assets for fast experimentation and successful data products.

Zava transitioned to Etleap for secure AWS-native ETL, enabling faster, more accurate patient surveys and real-time healthcare insights.

Etleap joined the Data Sharks to discuss data management and pipelines. Watch the YouTube recording or listen on your podcast app under Intricity101.

Invoice2go modernized its data pipelines with AWS and Redshift, ensuring scalable ETL processes to support rapid business growth.

The Etleap team is proud of Morningstar's success with Etleap ETL, helping them generate value from diverse data sources to maintain their leadership in investment research and management.

This post, in partnership with Amazon Redshift, showcases how Streaming Ingestion enables near-real-time data analysis with SQL, ETL, BI, and reporting tools.

Etleap now supports Amazon Redshift Serverless in Public Preview, allowing customers to accelerate data onboarding by ingesting data from various sources through Etleap.

Moderna chose Etleap for quick pipeline setup, minimal engineering effort, and compliance with data privacy regulations to unify their analytics platform.

Morningstar chose Etleap for quick deployment and handling complex pipelines, unifying their datasets for a more powerful software experience.

Learn how Sauce Labs partnered with Etleap and Snowflake to create a scalable data cloud that enabled analytics.

Tophatter migrated to Amazon Redshift RA3 nodes to improve stability, reduce costs, and scale data analytics seamlessly with minimal downtime, leveraging the AWS RA3 upgrade program.

Etleap VPC is now available as a Terraform module, simplifying deployment and upgrades. We'll explore why the VPC SaaS model is the future of ETL.

A data lakehouse merges the best of data lakes and warehouses, adding a processing layer to enable direct querying of data in lakes (like S3) without needing to load it into a warehouse first.

Etleap announces its launch on Snowflake Partner Connect, enabling analytics teams to build data warehouses without IT resources.

eMoney leveraged AWS and Etleap to centralize data, enabling faster customer journey insights and improving internal efficiency across teams.

Competitive businesses need quick and easy access to data across teams. To meet this, efficient data pipelines are essential, especially as data volume and sources grow.

A data warehouse consolidates data from various sources within an organization, serving as a centralized repository for analytics and business intelligence.

Learn how Etleap’s integration with Amazon Redshift Console simplifies data onboarding, enabling users to ingest data from various sources and model it for analytics with just a few clicks.

Amazon Redshift is a fast, scalable, and secure cloud data warehouse that makes data analysis easy and cost-effective using SQL and existing ETL, BI, and reporting tools.

Etleap has achieved Snowflake Ready status, confirming its Snowflake integration meets best practices for ETL/ELT tools and has been validated by a third party.

Etleap launched an AWS Quick Start for Etleap VPC, automating data warehouse and lake deployment on AWS with CloudFormation.

Amazon Redshift’s materialized views feature is now generally available. AXS, a leading ticketing and marketing provider, has benefited from Etleap, an ETLT service built for AWS.

IaC enables DevOps teams to manage infrastructure through code, replacing manual tasks. It boosts efficiency and helps teams adapt to business needs.

At Snowflake Summit 2023, Etleap showcased our data pipeline solution and connected with attendees. Check out the highlights!

In this webinar, learn why eMoney uses Etleap and Looker in a secure VPC to solve customer challenges.

Etleap has earned the Amazon Redshift Ready designation, confirming its successful integration with Amazon Redshift.

Etleap, an AWS Advanced Technology Partner, has announced support for Amazon Redshift Materialized Views, enhancing its fully-managed ETL-as-a-service offering.

Learn how Etleap and Looker helped AXS reduce manual ETL work and reporting, allowing them to focus on growth for themselves and their clients.

In JavaScript, the “length” property counts code units, not characters. For example, "😃" has a length of 2. To count characters correctly, use ”Array.from()...”

Between 8/27 15:30 UTC and 8/29 14:00 UTC, we faced increased pipeline latencies, with downtime from 8/29 04:00 to 10:00 UTC. This post details the incident, our response, and prevention measures.

We're excited to announce our integration with Snowflake, expanding support for data warehouses alongside Amazon Redshift and our S3/Glue data lake offering.

I’m excited to tell you about two new features we’re launching today: Models and History Tables.

Despite the heat in Las Vegas, Snowflake Summit stayed cool with winter themes! Etleap joined 12,000+ attendees, and TIER presented on data’s impact on their business.

The Etleap team attended AWS re:Invent in Las Vegas, where Moderna’s Carlos Peralta spoke on their analytics journey, and we announced new features and AWS integrations.

We’re thrilled to announce a $1.5M raise from First Round Capital, SV Angel, Liquid2, BoxGroup, and others to scale our enterprise-grade ETL solution for cloud data warehouses.

Data analysts spend 80% of their time on data prep. This session covers common data warehousing problems and offers practical solutions to help analytics teams focus on analysis.

React.js simplifies creating UI components, including inline SVGs. With the DOM supporting SVG, React lets you directly output SVG elements, allowing dynamic updates via props and state.

To improve page load speed, reduce file requests and sizes by combining and minifying JavaScript into a single bundle.

A good password reset token should allow users to reset their password via email, be non-guessable, expire after a set period, and prevent reuse.

TL;DR: This post explains how to split and process CSV files in pieces, handling tricky newline characters within fields using a finite-state machine.

TypeScript is growing in popularity, but many are unsure if it's right for their projects. This post explains how we use it at Etleap and its benefits in large-scale development.

Etleap’s Apache Iceberg data pipelines will enable joint customers to optimize speed, bringing the time to refresh data in Snowflake to 5 seconds.

Etleap had a great time at AWS re:Invent, launching new features and discussing ETL with attendees. Here's a quick recap!

Etleap prevents database connection leaks using try-with-resources, HikariCP leak detection, and JDBC lint for secure and efficient data pipelines.