Eventador for Data Engineering
Learn how the Eventador Platform is a time, money and sanity saver for data engineering teams
Deliver Self-Service Streaming Platforms
Democratize streaming data throughout the enterprise without the heavy lifting of building your own solution. The Eventador Platform lets anyone with SQL knowledge query or create computations on streaming data.
Remove the barriers between streaming data and the organization.
Deploy Enterprise-Grade Streams with SQL
Go beyond a simple SQL editor with a full Continuous SQL interface. The Eventador Platform combines the power of Apache Flink with the simplicity of ANSI SQL for writing, deploying, and managing production-ready streaming jobs.
Stop relying on low-level APIs for writing stream processors.
Materialize Views Without Expensive Databases
Stop losing value in streaming data by requiring a database to materialize views. Create durable and named data API endpoints—for easy use in streaming apps, ML models, and more—for queryable, real-time views of streaming data.
Self-serve the data you need for models and computations.
IoT and Sensor Data
Joining, normalizing and managing large and often disparate IoT sensor makes it difficult to deliver the streaming apps, dashboards, and services that many organizations need to be competitive. The Eventador Platform enables you to harness the power of this streaming data by normalizing and joining these disparate data streams, create computations against it, and deliver materialized views via durable REST APIs—all without intricate Java or Scala programming.
Whether it is for Just-in-time supply chain management, safety sensors, production-specific sensors or any of the other streaming data required for real-time manufacturing, an inaccuracy or delay in processing data can cost millions. The Eventador Platform makes it as simple as the SQL you already know to build, deploy and manage business-critical stream processing jobs and then continuously materialized views of that data to analytics dashboards, streaming applications, ML pipelines and more.
Fraud Detection and Alerting
Financial transactions happen by the split second and by the millions, and writing the computations that parse through all of that data in real-time to find and alert on fraudulent transactions is inherently complex. The Eventador Platform eliminates that complexity by enabling you to use SQL to write, iterate on, deploy, and manage fraud detection pipelines as well as easily deliver materialized results via REST API to use in real-time dashboards and alerting tools.
The difference of just a few seconds when finding and stopping malicious network traffic can mean irreversible damage to a company due to stolen IP or lost revenue. The Eventador Platform reduces the time it takes to build, deploy, and manage these critical streaming pipelines with Continuous SQL in order to find and react to events in real-time, find and detect anomalous patterns, and overall ensure network security pipelines and dashboards are updated in real-time.
Self-Service, Enterprise-Grade Data Streams
Whether it is a single business unit or enterprise-wide that requires access to streaming data, the Eventador Platform allows you to provide a best-in-breed, self-service platform that solves a multitude of data problems with diverse team requirements. The Eventador Platform leverages the state management of Apache Flink while abstracting away the complexity of writing, deploying, and managing streaming jobs with the use of Apache Calcite-based SQL.
Continuous SQL Engine With an Interactive Parser for Real-time Feedback
Distilling down massive data streams, performing useful computations, and creating materialized views to power a new breed of streaming applications now simply requires SQL knowledge. Users also get real-time feedback on SQL syntax with the interactive SQL parsing engine, which delivers the ability to iterate on SQL statements until they provide the required result and then execute on a stateful, Continuous SQL streaming job.
Materialized Views Via Durable APIs Using SQL
Create and deliver a view of the current state of the data for easy consumption in your applications via named REST endpoints for use directly in applications, ML models, analytics dashboards, and more. The Eventador Platform eliminates the need for costly, slow database infrastructure to and lets users query materialized views on data streams using SQL.
Automatic Schema Inference
Eliminating the time and hassle inherent in creating schemas, the Eventador Platform infers and builds schemas by automatically reading JSON data—even for complex or nested objects without requiring you to flatten data. Eventador also seamlessly integrates with Schema Registry for AVRO schema management. Now, you can start querying your data streams with SQL immediately.
Fully Managed Apache Flink Runtime
Build on best-of-breed open source technologies including Apache Flink and Kubernetes, the Eventador Platform enables users to deploy production-ready, fault-tolerant stream processors with robust state management—including checkpoint and savepoint management. In addition to the SQL engine to write and deploy streaming jobs, the Apache Flink runtime is a fully managed service to author and deploy jobs in Java and Scala. And with simple integration to Github, users can easily create, build (maven), deploy, monitor, and scale jobs with a single push of a button.
Input Transforms, UDFs and More for Data Wrangling and Custom Business Logic