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Not All Flink is Created Equal: Comparing Kinesis Data Analytics with Decodable
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Decodable is a serverless real-time data platform.
No clusters to set up, and no code to write. No PhD required.
Fast
Build pipelines super fast. In minutes, not days or weeks.
Easy
Use the SQL you already know. No complex infrastructure to manage.
Open
No proprietary formats. Works with your existing data infrastructure.
WHY DECODABLE
Self-service data for developers
Our mission is to put you in a position to control your destiny and success. Producers of data can serve data directly to the consumer with no intermediary and data consumers can tailor the data to their needs without any back and forth.
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Connect
Connect to messaging systems, object stores, operational and analytical databases, ML/AI pipelines, and event-driven microservices.
Build
Build pipelines in SQL. Parse, filter, route, anonymize, or otherwise slice and dice your data, and get it to where it needs to be!
Manage
Get the data you need, in the right format. Make schema changes, and rollback pipelines when things don't go quite the way you expected.
WHY DECODABLE
Self-service data for developers
Our mission is to put you in a position to control your destiny and success. Producers of data can serve data directly to the consumer with no intermediary and data consumers can tailor the data to their needs without any back and forth.
Connect
Connect to messaging systems, object stores, operational and analytical databases, ML/AI pipelines, and event-driven microservices.
Learn more
.svg)
Build
Build pipelines in SQL. Parse, filter, route, anonymize, or otherwise slice and dice your data, and get it to where it needs to be!
Learn more
Manage
Get the data you need, in the right format. Make schema changes, and rollback pipelines when things don't go quite the way you expected.
Learn more
The Future Of Real-Time Data Engineering
Decodable makes the infrastructure effectively disappear and delivers a serverless data engineering process.
Application developers, data engineers, and data scientists can now build and deploy a production pipeline in minutes, just as they do with batch data pipelines.
From the blog
Stay updated on the latest in real-time data engineering.
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