Deliver Real-time Apps and Analytics with Continuous SQL
Whether developing streaming applications, real-time dashboards or ML pipelines, the Eventador Platform’s SQLStreamBuilder and Runtime for Apache Flink deliver a robust, enterprise-grade solution for simplifying your streaming needs.
Lower Your Total Cost of Ownership
No extra web-service, network, or database infrastructure needed. The Eventador Platform enables you to query data perpetually with Continuous SQL and materialize results as durable data APIs or by pushing data to a variety of sinks.
Speed Streaming App Time-to-Market
Leverage ANSI SQL syntax, based on Apache Calcite, for the ability to query with the familiar SQL you know—not just a "SQL-like" language.
Leverage Apache Flink's state management—including checkpoint and savepoint management—for production-ready streaming jobs.
Intelligent SQL Parser
Get instant feedback on SQL syntax with the SQL parsing engine to interactively author statements. Perform queries against streams just like a database.
Define materialized views using ANSI-SQL that are automatically indexed and maintained, and arbitrarily queried via RESTful endpoints. You can query by secondary key, perform range scans, and can utilize a suite of common operators against these views.
Quickly create custom functions and call them directly from SQL to handle more complex business logic with no need to restart your system, stop your cluster, or compile/recompile anything.
Simply author, validate and launch Continuous SQL streaming jobs with a rich, interactive editing interface as well as leverage seamless integration with Github.
Library of Sources & Sinks
Connect to an ecosystem of sources and sinks including Apache Kafka, ELK, and Amazon S3 as well as webhooks for custom application triggers.
Automatically detect and define JSON schemas, including nested and complex structures OR integrate with schema registry for AVRO schemas.
See the Eventador Platform in action
The Eventador Platform solves the complex problem of providing a queryable, time-consistent state of streams via materialized views—without relying on additional databases, web servers, load balancing tools or other complex infrastructure that can be slow and costly.