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Zepl Accelerates and Simplify Data Science at Scale, Announces Snowflake 2.6 Spark Connector Integration

June 18, 2020 / Bhushan Salkar
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  • Zepl today announced that it has deepened its technical integration with Snowflake by utilizing Snowflake's 2.6 Spark Connector in Zepl's SaaS product.

  • Zepl's native Snowflake integration lets data scientists do real-time analysis on their live Snowflake data.

  • Snowflake simplifies the most time consuming and tedious part of data science – wrangling all of the data in a single high-performance data platform.


Zepl, the data science platform built for your cloud data warehouse, today announced that it has deepened its technical integration with Snowflake by utilizing Snowflake's 2.6 Spark Connector in Zepl's SaaS product. This new integration dramatically improves performance when accessing data for analysis and minimizes costs.

According to Snowflake's recent benchmark tests, Snowflake's 2.6 Spark Connection caused an immediate 4x improvement in the end-to-end performance of Spark jobs due to a 10x performance improvement in the time spent by the Spark Connector to fetch and process the results of the Snowflake query. In addition, Snowflake has a query-result cache for repeated queries that operate on unchanged data. With cached reads, the end-to-end performance for the Spark job described above is 14x faster than when using uncached CSV-format reads in previous versions of the Spark Connector.

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Zepl's native Snowflake integration lets data scientists do real-time analysis on their live Snowflake data. Getting started with Zepl is easy. In less than a minute, Snowflake users can connect to Zepl through Partner Connect and immediately begin building machine learning models and analyzing results on massive quantities of data.

Snowflake simplifies the most time consuming and tedious part of data science – wrangling all of the data in a single high-performance data platform – so that the work of modeling and analysis can begin in Zepl. The results are easily fed back into Snowflake where it remains easily accessible to both technical and non-technical users alike.

Zepl and Snowflake share the same core values of delivering high performance and cost efficiency to our customers. Snowflake has raised the bar for performance once again through their 2.6 Spark connector, which in turns improves cost efficiency for our joint customers. We are excited to expand both our technology as well as business partnership through this integration.

- Dan Maloney, CEO of Zepl


About Zepl:

Zepl's data science platform is built for your cloud data warehouse. In just minutes, data scientists and power data analysts can connect to Zepl and immediately build machine learning models and analyze results on massive quantities of data. Zepl provides a single place for your entire team to collaborate securely, with unlimited scale, and zero management, while our modern architecture provides maximum simplicity, efficiency and value.

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