Eventador for Real-time Analytics
Learn how the Eventador Platform enables extreme performance, simple data aggregation/filtering, and data API generation capabilities for real-time analytics without ETL.
Capture the firehose of data to build awesome dashboards and applications.
Tame massive amounts of incoming data
Streaming data presents performance challenges as putting all data streams into a database means performance suffers at query time. Eventador tames the streaming firehose by performing SQL at scale upstream of costly and slow database infrastructure. Use streaming data sources or read data-at-rest using Debezium.
Drain the data lake.
Query Kafka continuously using SQL
Instead of relying on slow, expensive databases to give you a view of data streams, use the ANSI SQL you know to get true real-time visibility into your Kafka data. Automatically infer schemas, build tables, then join, aggregate, filter, and otherwise inspect your Kafka data - all with instant feedback as you iterate and build SQL statements.
SQL and Kafka is a winning combination.
Data APIs that integrate with your solutions
Create durable, named data APIs that represent views of your event data. Use these APIs in your favorite tooling like Tableau, Looker, or PowerBI. Or, build your own dashboard using D3, python, Plotly, or other visualization tools and libraries via REST. Eventador makes it easy and fast to get data into your favorite tool.
Stop waiting for data.
Want to learn more about how Eventador can help Data Analyst teams?
Real-time Dashboards and Analysis for IoT Sensor Data
The vast and growing amount of often disparate IoT sensor data can make it difficult to assimilate into data analytics pipelines. The Eventador Platform lets you simplify and accelerate normalizing disparate IoT sensor feeds, aggregate and/or filter these data streams down to the usable data you need for crucial business analytics and applications—all without first having to drain the data into costly and slow databases.
You can run real-time analytics on IoT sensor data and only save and store the relevant data—saving time and money.
Clickstream Analytics and Real-time Experiments
Clickstream data can be difficult and costly to access, and doing so in a real-time and actionable way is out of reach for most organizations. The Eventador Platform lets you ingest these feeds in real-time, use the SQL to filter, alert, and more on the data and then view those insights in real-time directly from your dashboards. It takes the guesswork out of understanding your web traffic—especially when it comes to real-time experiments.
Get fast, actionable insights to deliver the best possible user experience for your web visitors.
Financial Dashboards and Fraud Alerting
Finding fraudulent and non-compliant financial transactions becomes less useful the longer it takes to alert and act on them. When the bottom line—and increasingly your corporate reputation is at stake—finding, alerting, and acting on financial fraud in real-time is critical. The Eventador Platform enables you to quickly write and run production fraud jobs and deliver up to the second results to the dashboard of your choice with a durable REST API.
Stop fraud in its tracks with truly real-time financial dashboards and fraud alerting capabilities
Personalized Healthcare and Patient Experience
Healthcare providers are always looking for ways to improve the patient experience, personalize treatment, and decrease readmittance, and better leveraging streaming data enables them to achieve those goals. The Eventador Platform lowers the barriers to accessing data streams with the use of SQL and with Input Transforms for data normalizations, so providers have the latest, most actionable data at hand to better inform patient interactions.
Improve the patient experience with fast, simple access to data streams with crucial patient and treatment information.
Continuously Process Data
Process data upstream of the database, so queries are faster, and expensive and complicated databases don’t need to be used. The Eventador Platform uses Continuous SQL and leverages the Cloud to process massive streams of data by aggregating, filtering, joining, mutating, and routing the data without complex indexing schemes, expensive and opaque cloud databases, or massive data lakes. You can now process the data upstream for true high-performance streaming analytics.
Automatic Schema Inference
Different schema for different JSON data sources can slow down development time. The Eventador Platform automatically infers a schema and builds virtual tables based on them—including for tricky nested structures. Using Input Transforms, you do not need to worry about formatting, inconsistencies, or bad values. Quickly create the virtual tables you need to power your analytics applications.
Query Event Streams Using SQL
Joining various event streams together or joining them with traditional sources can be complex. The Eventador Platform treats data streams as first-class citizens, not simply add-ons. Easily consume streams of data from Apache Kafka—including headers and embedded timestamps. Jobs retain offset and state so they instantly recover even if they are in the middle of a computation. Production restart, failover, upgrade, and scaling is seamless, powerful, and truly production-ready. Get instant feedback from our SQL parser, and launch powerful continuous processing jobs with a simple SQL statement.
Self-service Analytics for the Win
Real-time APIs, Dashboards, and Applications
With Eventador, data is materialized into curated, durable, and reusable REST data APIs. This opens a world of possibilities to name, organize, and share data API endpoints for use in your favorite tools like Tableau, Looker, and PowerBI. If you would rather write your own dashboards, reports, and applications, you can use the JSON data directly in your applications in any language that has tools for JSON. Easily display data using D3, Plotly, Mapbox, or other frameworks and libraries.