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MySQL on RDS

MySQL is an open-source relational database management system. Its name is a combination of "My", the name of co-founder Michael Widenius's daughter My, and "SQL", the abbreviation for Structured Query Language. On AWS RDS MySQL is easier to manage. Streamkap can connect to MySQL by reading the MySQL change logs, real-time change data capture has less impact on your database while allowing you to sync your data in real-time to support your use cases.

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MySQL on RDS real-time sync using change data capture

  • Uses Change Data Capture (CDC) to read data from MySQL
  • Snapshot/Backfill historical data before moving to streaming
  • Can include/exclude table/columns
  • Schema evolution support for supported destinations
  • Setup MySQL change data capture in minutes

Marcin Migda

Staff Data Engineer

"Streamkap was 4x faster and had 3x lower total cost of ownership than our previous solution"

Why Streamkap?

Reliable

Serverless platform providing enterprise reliability and scale.

Affordable

Only pay for GB into Streamkap.

Longterm

Retain data for as long as you need.

Flexible

Read once, write to many destinations.

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DynamoDB

DynamoDB is a serverless, NoSQL database service from Amazon that enables you to develop modern applications at any scale. DynamoDB is scalable, fast and flexible. Streamkap can connect to via DynamoDB streams for real-time change data capture. For historical data, Streamkap uses DynamoDB’s S3 export feature for cost-efficient backfilling of data.

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Db2

Db2 is a database product from IBM. It is a Relational Database Management System (RDBMS). Db2 is designed to store, analyze and retrieve the data efficiently. Db2 product is extended with the support of Object-Oriented features and non-relational structures with XML.

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Vitess

Vitess is an open source system for database clustering that allows for the horizontal scaling of MySQL databases. Vitess was originally developed at YouTube and is used by some of the largest websites in the world. Vitess combines the features of MySQL with the scalability of a NoSQL database, and uses sharding to separate large databases into smaller, more manageable parts.

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