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Apache Pinot vs Kafka Streams

Apache Pinot

pinot.apache.org

Kafka Streams

kafka.apache.org

Side by side

FigureApache PinotKafka Streams
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WebYes—
Windows—Yes
macOS—Yes
Linux—Yes
APIYes—
Self-hostedYesYes
Plans published11
Spec score · Stream Analytics Software8.2 (#6)7.9 (#15)
DeploymentThe official quick install supports Docker and Kubernetes with Helm.Kafka Streams applications can be deployed to containers, virtual machines, bare metal, or cloud environments.
Founded20131999
PurposeApache Pinot is a real-time distributed OLAP datastore for low-latency, high-throughput analytics and user-facing workloads.Kafka Streams is a client library for building applications and microservices whose input and output data are stored in Kafka clusters.
SupportThe project provides Slack, mailing lists, GitHub Issues, and community meetups for questions and discussion.The Kafka project provides user, developer, JIRA, and commit mailing lists for community support and project communication.

Plans

Apache Pinot

  • Apache PinotFree

Apache Pinot pricing →

Kafka Streams

  • Apache Kafka StreamsFree

Kafka Streams pricing →

In their own words

Apache Pinot

Apache Pinot is a free, open-source distributed OLAP datastore for real-time analytics and user-facing workloads. It ingests streaming data from Apache Kafka, Apache Pulsar, and AWS Kinesis, plus batch data from Hadoop, Spark, Amazon S3, Azure ADLS, and Google Cloud Storage. Streaming and batch sources can be combined into one queryable table. Pinot provides SQL through a query editor and REST API, with JDBC, Java, Python, and Golang clients for applications. Project materials advertise P90 query latency in the tens of milliseconds on petabyte-scale data and capacity for hundreds of thousands of concurrent queries per second. Logical namespaces provide multitenancy. Security features include HTTP Basic Authentication, ACLs, TLS, mutual TLS, and row-level security filters in version 1.4.0 and later. Superset, Tableau, and Power BI can connect as BI tools. Official installation guidance covers Docker and Kubernetes with Helm. The self-hosted plan is listed at free.

Visit pinot.apache.org

Kafka Streams

Kafka Streams is a free client library for building applications and microservices that use data stored in Kafka clusters. It processes Kafka data with event-time handling, windowing, and real-time queries of application state. The Streams DSL provides operations such as mapping, filtering, joins, and aggregations, while the Processor API supports custom processors and state stores. Fault-tolerant local state supports stateful work such as windowed joins and aggregations, and the library offers exactly-once processing semantics. Applications can run on one machine or scale across multiple machines, and can be deployed in containers, virtual machines, on bare metal, or in cloud environments. Kafka Streams uses Kafka as its internal messaging layer and does not require a separate processing cluster. It supports Java and Scala and integrates with Kafka security features for encryption in transit, client authentication, and authorization. The software is licensed under Apache License 2.0. The Apache Software Foundation says it does not sell its software or provide formal or commercial support for its packages; project communication is available through community mailing lists.

Visit kafka.apache.org