# KsqlDB

KsqlDB is a tool that allows you to analyse and process live data streams using simple, database-like commands. It is open source and self-hosted, installable on Docker Hub.

Canonical page: https://ourlocalhost.com/app/5606/ksqldb

## Description

ksqlDB is a tool that allows you to analyse and process live data streams using simple, database-like commands. It helps businesses react to information instantly—such as detecting fraud or updating stock levels—as events happen, rather than waiting to process data in batches.

## Platform availability

Available on 0 of 9 platforms.

## Health score

59/100 (Fair), based on 4 of 4 factors.
- Maintained: 100 (last commit 12 days ago)
- Popular: 50 (315 GitHub stars)
- Easy to install: 25 (0 install platforms, install notes, Docker image)
- Light to run: 10 (8 GB minimum RAM)

## Links

- GitHub: https://github.com/confluentinc/ksql
- Docker Hub: https://hub.docker.com/r/bitnami/ksql
- Documentation: https://docs.ksqldb.io
- Official website: https://ksqldb.io

## Common questions

### Which settings control ksqlDB's connection to Kafka and how do I start it with them?

In ksql-server.properties, set bootstrap.servers to the Kafka broker address and listeners to the address and port ksqlDB should answer on. Then run ksql-server-start with the path to that properties file.

### What should I check if a Dockerized ksqlDB instance does not start?

View the container logs after starting the container. The logs usually show what went wrong before you try connecting.

### How are ksqlDB materialized views updated and queried?

Materialized views are created by persistent queries that maintain incrementally updated results in a table. The results can be pulled with SELECT queries or pushed continuously with streaming SELECT queries.

### Can ksqlDB use Kafka Connect sources and sinks?

Yes, ksqlDB includes Connect and can integrate with any Kafka Connect data source or sink from within ksqlDB.

### How does ksqlDB handle query state according to community experience?

A community discussion says KSQL/Kafka Streams does not have the entire state saved out and must read every message in the topic, partitioned and distributed, to the last commit.

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Source: Our Local Host (https://ourlocalhost.com/app/5606/ksqldb), the self-hosted and open-source app directory.