ClickHouse is a fast open-source column-oriented database management system that allows generating analytical data reports in real-time using SQL queries. Streamkap's streaming etl engine can send data in real-time to Clickhouse.

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.

MongoDB is a source-available cross-platform document-oriented database program. Classified as a NoSQL database program, MongoDB uses JSON-like documents with optional schemas. MongoDB is developed by MongoDB Inc. and licensed under the Server Side Public License which is deemed non-free by several distributions. Streamkap can connect to MongoDB by reading the MongoDB change streams, 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.

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. 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.

PostgreSQL, also known as Postgres, is a free and open-source relational database management system emphasizing extensibility and SQL compliance. Streamkap can connect to PostgreSQL by connecting to a replication slot, which in turn looks at PostgreSQL publications. By reading the PostgreSQL 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.

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.

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. 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.

Apache Iceberg is an open table format for huge analytic datasets. Iceberg adds tables to compute engines including DuckDB, Starburst Data, Spark, Trino, PrestoDB, Flink, Hive and Impala using a high-performance table format that works just like a SQL table. Streamkap supports the output of Apache Iceberg files for real-time data.

Apache Kafka is a distributed event store and stream-processing platform.

Apache Kafka is a distributed event store and stream-processing platform.

Amazon Aurora PostgreSQL is a relational database service developed and offered by Amazon Web Services beginning in October 2014. Aurora is available as part of the Amazon Relational Database Service. Streamkap can connect to PostgreSQL by connecting to a replication slot, which in turn looks at PostgreSQL publications. By reading the PostgreSQL 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.

Azure Data Lake Storage (ADLS) is a cloud object storage service from Microsoft Azure. It's an enterprise data lake engineered to store massive amounts of data in any format.

BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence. Streamkap supports both inserts/upserts with Google BigQuery.

CockroachDB is a commercial distributed SQL database management system, developed by Cockroach Labs. Streamkap can read change data streams in from CockroachDB.

Databricks is an open-source storage layer that enables lakehouse architecture on your data lake. Databricks provides ACID transactions, scalable metadata handling, and unifies streaming and batch data processing. Databricks runs on top of your existing data lake and is fully compatible with Apache Spark APIs.

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.

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.

Amazon DocumentDB is a managed proprietary NoSQL database service that supports document data structures, with some compatibility with MongoDB version 3.6 and version 4.0. As a document database, Amazon DocumentDB can store, query, and index JSON data. It is available on Amazon Web Services. Streamkap can read change streams from DocumentDB.

DuckDB is a fast, embeddable, and open-source analytical database. It can run on a local machine, embedded in an application or in the cloud and excels at complex SQL queries on various file formats (like CSV and Parquet), and integrates seamlessly with languages like Python and R.

Elasticsearch is a search engine based on the Lucene library. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents. Streamkap can both read and write from ElasticSearch.

MariaDB is a community-developed, commercially supported fork of the MySQL relational database management system.

MariaDB is a community-developed, commercially supported fork of the MySQL relational database management system.

MariaDB is a community-developed, commercially supported fork of the MySQL relational database management system.

MotherDuck is DuckDB in multiplayer mode. A serverless data warehouse with all the power of DuckDB and the scale of the cloud. Streamkap supports MotherDuck as a destination.

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. 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.

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. Using Azure you can deploy MySQL easily. 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.

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 Google Cloud, MySQL is easy to deploy and 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.

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.

OpenSearch is a family of software consisting of a search engine, and OpenSearch Dashboards, a data visualization dashboard for that search engine. The software started in 2021 as a fork of Elasticsearch and Kibana, with development led by Amazon Web Services. Streamkap can both read and write to OpenSearch.

Oracle Database is a multi-model database management system produced and marketed by Oracle Corporation. It is a database commonly used for running online transaction processing, data warehousing and mixed database workloads. Streamkap can read change streams from Oracle Database to sync real-time data to a number of destinations.

Oracle Database is a multi-model database management system produced and marketed by Oracle Corporation. It is a database commonly used for running online transaction processing, data warehousing and mixed database workloads. Streamkap can read change streams from Oracle Database to sync real-time data to a number of destinations.

Apache Parquet is an open source, column-oriented data file format designed for efficient data storage and retrieval. It provides efficient data compression and encoding schemes with enhanced performance to handle complex data in bulk. Streamkap supports Parquet files for reading and writing to S3.

PostgreSQL, also known as Postgres, is a free and open-source relational database management system emphasizing extensibility and SQL compliance. Streamkap can connect to PostgreSQL by connecting to a replication slot, which in turn looks at PostgreSQL publications. By reading the PostgreSQL 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.

PostgreSQL, also known as Postgres, is a free and open-source relational database management system emphasizing extensibility and SQL compliance. Google Cloud makes it easy to deploy and manage. Streamkap can connect to PostgreSQL by connecting to a replication slot, which in turn looks at PostgreSQL publications. By reading the PostgreSQL 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.

PostgreSQL, also known as Postgres, is a free and open-source relational database management system emphasizing extensibility and SQL compliance. Deployed on RDS makes it easier to manage. Streamkap can connect to PostgreSQL by connecting to a replication slot, which in turn looks at PostgreSQL publications. By reading the PostgreSQL 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.

Redis is an in-memory data structure store, used as a distributed, in-memory key–value database, cache and message broker, with optional durability. Redis supports different kinds of abstract data structures, such as strings, lists, maps, sets, sorted sets, HyperLogLogs, bitmaps, streams, and spatial indices. Streamkap can be used with Redis for lookup tables or improving caching systems.

Redis is an in-memory data structure store, used as a distributed, in-memory key–value database, cache and message broker, with optional durability. Redis supports different kinds of abstract data structures, such as strings, lists, maps, sets, sorted sets, HyperLogLogs, bitmaps, streams, and spatial indices. Streamkap can be used with Redis for lookup tables or improving caching systems.

Amazon Redshift is a data warehouse product which forms part of the larger cloud-computing platform Amazon Web Services.

Amazon Simple Storage Service (Amazon S3) is generally used as highly durable and scalable data storage for images, videos, logs, big data, and other static storage files. Streamkap supports S3 and various file formats such as Parquet & Apache Iceberg which can be used by databases such as Starburst Data, DuckDB, Snowflake.

Microsoft SQL Server is a relational database management system developed by Microsoft. As a database server, it is a software product with the primary function of storing and retrieving data as requested by other software applications—which may run either on the same computer or on another computer across a network. Streamkap can connect to SQL Server by reading the SQL Server 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.

Microsoft SQL Server is a relational database management system developed by Microsoft. As a database server, it is a software product with the primary function of storing and retrieving data as requested by other software applications—which may run either on the same computer or on another computer across a network. Streamkap can connect to SQL Server by reading the SQL Server 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.

Microsoft SQL Server is a proprietary relational database management system developed by Microsoft.

Microsoft SQL Server is a relational database management system developed by Microsoft. As a database server, it is a software product with the primary function of storing and retrieving data as requested by other software applications—which may run either on the same computer or on another computer across a network. Streamkap can connect to SQL Server by reading the SQL Server 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.

Starburst gives you the flexibility to run federated interactive and ETL workloads using a single query engine, significantly reducing data movement delays & costs. Streamkap supports Apache Iceberg output to S3 for Starburst to work with.

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.