Why developers like Kafka Streams

What is 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.

Kafka Streams is a tool in the Stream Processing category of a tech stack.

Who uses Kafka Streams?

Companies

33 companies reportedly use Kafka Streams in their tech stacks, including KAVAK, Groww, and Indeed.

KAVAK

Groww

Indeed

ViaVarejo

TransferWise

Modanisa.com

Migros Turkiye Online

Corca's Tech Stack

Repro

Developers

325 developers on StackShare have stated that they use Kafka Streams.

mohinish

Personal Stack

My Stack

hancengiz

My Stack

My Personal Stack

base

personal

My Stack

Kafka Streams Integrations

Confluent

Decisions about Kafka Streams

Here are some stack decisions, common use cases and reviews by companies and developers who chose Kafka Streams in their tech stack.

Marmik Shah

Jan 4, 2022 | 6 upvotes · 423.4K views

Needs advice

Confluent

Kafka Streams

and

KSQL

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?

S C

Jan 10, 2022 | 4 upvotes · 200.8K views

Needs advice

Apache Flink

and

Kafka Streams

We currently have 2 Kafka Streams topics that have records coming in continuously. We're looking into joining the 2 streams based on a key with a window of 5 minutes based on their timestamp.

Should I consider kStream - kStream join or Apache Flink window joins? Or is there any other better way to achieve this?

See all decisions

Blog Posts

How Ads Indexing Works at Pinterest

Jun 24 2020 at 4:42PM

1250

Kafka Streams Alternatives & Comparisons

What are some alternatives to Kafka Streams?

Kafka

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

Apache Spark

Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.

Apache Flink

Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.

Apache Beam

It implements batch and streaming data processing jobs that run on any execution engine. It executes pipelines on multiple execution environments.

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.

See all alternatives

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