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Kafka Streams vs Lenses

Kafka Streams

kafka.apache.org

Lenses

lenses.io

Side by side

FigureKafka StreamsLenses
Price fromFree$0.33/mo
Free planYesYes
Free trial—Yes
Open source——
Web—Yes
WindowsYesYes
macOSYesYes
LinuxYesYes
API—Yes
Self-hostedYesYes
Plans published16
Spec score · Stream Analytics Software7.9 (#15)8.1 (#11)
DeploymentKafka Streams applications can be deployed to containers, virtual machines, bare metal, or cloud environments.Lenses can be deployed in a cloud, on-premises, or hybrid environment.
ProcessingKafka Streams processes and analyzes data stored in Kafka, including event-time processing, windowing, and real-time application-state queries.The platform supports preparing data for consumption with SQL and deploying data streams independently.
SupportThe Kafka project provides user, developer, JIRA, and commit mailing lists for community support and project communication.The pricing page includes Team Support in the Team plan and Enterprise Support in the Multi-Kafka Enterprise plan.

Plans

Kafka Streams

  • Apache Kafka StreamsFree

Kafka Streams pricing →

Lenses

  • K2K CommunityFree
  • Lenses DevX Community EditionFree
  • K2K add-on$1 a month
  • Lenses DevX Team Edition$4 a year
  • K2K EnterprisePriced on request
  • Lenses DevX Multi-Kafka EnterprisePriced on request

Lenses pricing →

In their own words

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

Lenses

Lenses describes its Operating Fabric as a platform for building, governing, and operating Kafka applications with engineers and AI agents. Users can discover streaming data across domains with SQL, prepare it for consumption, and deploy data streams independently. It connects to Confluent Platform, Confluent Cloud, Amazon MSK, Redpanda, and self-managed Apache Kafka, and can run in cloud, on-premises, or hybrid environments. Work interfaces include a Web App, VS Code Extension, Lenses MCP, and Lenses CLI. Lenses says OAuth 2.1 gives agents scoped, short-lived, revocable, and audited access. It also lists open-source Kafka connectors for systems including Amazon S3, Azure Event Hubs, GCP Storage, Cassandra, MongoDB, Redis, and Elasticsearch; the connectors are Apache 2.0 licensed and have enterprise support. The DevX Community Edition supports up to five free users, while SQL Studio supports up to two Kafka clusters. A trial key is available through the guided demo. Team Edition is listed from $4,000 per year and supports up to 15 users with SSO/SAML, RBAC, and Team Support.

Visit lenses.io