Etleap Launches Data Pipelines for Apache Iceberg on Snowflake
Etleap’s Apache Iceberg data pipelines will enable joint customers to optimize speed, bringing the time to refresh data in Snowflake to 5 seconds.
SAN FRANCISCO, JUNE 4, 2024 — Etleap today announced the launch of data pipelines for Apache Iceberg at Snowflake’s annual user conference, Snowflake AI Data Cloud Summit 2024. This new integration on the Snowflake AI Data Cloud will enable organizations to achieve nearly real-time data updates via Apache Iceberg, alongside effortless data management requiring little to no maintenance.
"Data Pipelines for Apache Iceberg represents a significant advancement in the way businesses manage and utilize their data," said Christian Romming, CEO of Etleap. "This integration enables our customers to significantly reduce the time to actionable insights, opening up new possibilities for real-time analytics and decision-making."
The Snowflake AI Data Cloud, a global network where thousands of organizations mobilize data, offers the scalability and flexibility necessary for running diverse workloads such as data engineering and data science effectively. Snowflake Iceberg tables combine the performance and query semantics of regular Snowflake tables with external cloud storage.
“Etleap's introduction of Data Pipelines for Apache Iceberg is pioneering new possibilities within the Snowflake AI Data Cloud,” said Tarik Dwiek, Head of Technology Alliances at Snowflake. “Their innovative approach to near-real-time data pipelines is not only enhancing data management capabilities but also enabling new use cases that leverage Snowflake’s flexibility and performance. This collaboration is a prime example of how our partners can drive significant advancements in data operations and insights.”
By partnering with Snowflake to launch Data Pipelines for Apache Iceberg, Etleap will enable joint customers to not only manage their data more effectively but also leverage it for strategic insights and actions faster than ever before. For example, joint customer Nextbike has already reduced their time to actionable insights for operational analytics.
"By implementing Etleap's data pipelines for Apache Iceberg, we've not only streamlined our data ingestion processes but also made data available for analysis in Snowflake in a few seconds, down from several minutes,” said Peter Holc, CTO at Nextbike. “This is a groundbreaking improvement to our operational capabilities in that it enables us to react quickly to changes in the data.”
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About Etleap Etleap gives enterprises a scalable and secure cloud-native platform for constructing data pipelines. Etleap eliminates the need for coding, automates issue detection, and pinpoints problems making it easy to build and maintain unified data warehouses and lakes. Accelerate time-to-value and take full advantage of your data.