Load data from Elasticsearch to Amazon Athena in a few clicks
Focus on your business, not on getting your Elasticsearch data into Amazon Athena. Build scalable, production-ready data pipelines and workflows in hours, not days.
Elasticsearch to Amazon Athena Data Pipelines Made Easy
Your unified solution for building data pipelines and orchestrating workflows at scale.
How to set up a connection from Elasticsearch to Amazon Athena
Elasticsearch & 190+ Other Data Connectors, Fully Managed For You
Connect easily to Elasticsearch with 100% compatibility, regular API updates, and a wide range of other pre-built data connectors out of the box.
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Start analyzing your Elasticsearch data in minutes with Rivery
Elasticsearch is a distributed, free and open search and analytics engine for all types of data, including textual, numerical, geospatial, structured, and unstructured. Known for its simple REST APIs, distributed nature, speed, and scalability, Elasticsearch is the central component of the Elastic Stack, a set of free and open tools for data ingestion, enrichment, storage, analysis, and visualization.
About Amazon Athena
Amazon Athena is an interactive query service to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
Rivery's SaaS platform provides a unified solution for ingestion, transformation, orchestration, and data operations.
“We saved several $100K we could have spent on development and maintenance. Within a few hours, you can build a production-ready, scalable ETL system.”
Gal Bar, Founder and CEO
Data Process Automation
“We solved some of our most complex data challenges with Rivery. The ability to create a unified data pipeline that is always up-to-date has been a game changer.”
Tali Stern, Director of Business Intelligence
Link Any Data Source
“Rivery has more than delivered on the value proposition I sold my leadership on. Rather than hiring two more developers, I’ve been able to build all these pipelines on my own.”
Sean Lucas, Head of Data Engineering
Zero Friction, Quicker Uptime