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API StatusChangelog
KSQL
ByConfluentConfluent

KSQL

#29in Background Jobs
Discussions1
Followers126
OverviewDiscussions1

What is KSQL?

KSQL is an open source streaming SQL engine for Apache Kafka. It provides a simple and completely interactive SQL interface for stream processing on Kafka; no need to write code in a programming language such as Java or Python. KSQL is open-source (Apache 2.0 licensed), distributed, scalable, reliable, and real-time.

KSQL is a tool in the Background Jobs category of a tech stack.

Key Features

Real-timeKafka-nativeSimple constructs for building streaming apps

KSQL Pros & Cons

Pros of KSQL

  • ✓Streamprocessing on Kafka
  • ✓SQL syntax with windowing functions over streams
  • ✓Easy transistion for SQL Devs

Cons of KSQL

No cons listed yet.

KSQL Alternatives & Comparisons

What are some alternatives to KSQL?

Kafka Streams

Kafka Streams

It is a client library for building applications and microservices, where the input and output data are stored in Kafka clusters. It combines the simplicity of writing and deploying standard Java and Scala applications on the client side with the benefits of Kafka's server-side cluster technology.

Apache NiFi

Apache NiFi

An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

Confluent

Confluent

It is a data streaming platform based on Apache Kafka: a full-scale streaming platform, capable of not only publish-and-subscribe, but also the storage and processing of data within the stream

Apache Storm

Apache Storm

Apache Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Storm has many use cases: realtime analytics, online machine learning, continuous computation, distributed RPC, ETL, and more. Storm is fast: a benchmark clocked it at over a million tuples processed per second per node. It is scalable, fault-tolerant, guarantees your data will be processed, and is easy to set up and operate.

Redpanda

Redpanda

It is a streaming platform for mission critical workloads. Kafka® compatible, No Zookeeper®, no JVM, and no code changes required. Use all your favorite open source tooling - 10x faster.

Kapacitor

Kapacitor

It is a native data processing engine for InfluxDB 1.x and is an integrated component in the InfluxDB 2.0 platform. It can process both stream and batch data from InfluxDB, acting on this data in real-time via its programming language TICKscript.

KSQL Integrations

Kafka are some of the popular tools that integrate with KSQL. Here's a list of all 1 tools that integrate with KSQL.

Kafka
Kafka

KSQL Discussions

Discover why developers choose KSQL. Read real-world technical decisions and stack choices from the StackShare community.

Marmik Shah
Marmik Shah

Jan 4, 2022

Needs adviceonConfluentConfluentKafkaKafkaKafka StreamsKafka Streams

I have recently started using Confluent/Kafka cloud. We want to do some stream processing. As I was going through Kafka I came across Kafka Streams and KSQL. Both seem to be A good fit for stream processing. But I could not understand which one should be used and one has any advantage over another. We will be using Confluent/Kafka Managed Cloud Instance. In near future, our Producers and Consumers are running on premise and we will be interacting with Confluent Cloud.

Also, Confluent Cloud Kafka has a primitive interface; is there any better UI interface to manage Kafka Cloud Cluster?

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