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Snowflake

Snowflake is a data-as-a-service data warehouse. Snowflake offers a cloud-based data storage and analytics service, generally termed "data-as-a-service". Streamkap uses Snowpipe Streaming mode to insert real-time to Snowflake. This method does not use the traditional per file uploads of Snowpipe.

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Send real-time data including change data capture into Snowflake via Snowpipe Streaming API

  • Uses Snowpipe Streaming API, which avoids the per file cost of uploading data to Snowflake while inserting data faster.
  • Snapshot/Backfill historical data before moving to streaming mode
  • Can include/exclude table/columns from Sources
  • Schema evolution support
  • Setup the sending of real-time data to Snowflake

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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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