A simple & secure way to manage your data in-motion

Build your Data Highway

with Kafka & Kubernetes

We give you the confidence you need to get your data ready for real time. Lenses is the gateway to build your central, self served, real time data platform with Kafka. Your Data is more accessible and secure. Your real time data pipelines are scalable out of the box.

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Instant Access

Broader access to data with finer grained access controls. Explore topics via web interface, Rest, WebSocket, JS, Python, JDBC, CLI

Data Governance

Enterprise Ready Platform: Auditing, Monitoring, Alerting, Security, Schemas, Topologies, Lineage

Open Source

From CDC (Change Data Capture) to connecting you streaming data on Kafka with popular data stores with open source Connectors


Operate your data flows in minutes!

Data Flow Graph
Get a high level view of your entire data flow landscape in an interactive graph. Zoom into your KStream SQL processors or Connect gateways (sinks or sources). Always keep an eye on what your data flows are doing.
Scale with Kubernetes
Scale your processors for fault-tolerance, resilience and performance. Use your Kafka Connect clusters or integrate directly with Kubernetes. Deploy & manage your processors with a few clicks.
Move data with StreamReactor
Streaming ETL data-pipelines in minutes. Use one of the 25 Kafka Connectors, or load your own custom Connector. Lenses allows you to configure and manage them.
Monitor data, pipelines, operations in Kafka
View and query the data, on any part of your pipeline, apply configuration changes and operate your Kafka pipelines with ease.
Cover Security, Lineage and Governance
Designed to match Financial industry high security, lineage and governance requirements. Kerberos, LDAP, Role Based access, Auditing, Data lineage it all there from day one.
Lenses SQL, the 3 tier SQL streaming engine for Apache Kafka
Connect, Analyse and Process data. You can use the powerful SQL engine for Apache Kafka to access the data via REST and WebSocket endpoints. Enhance your Web applications and dashboards with real-time data streamed through Apache Kafka.


Access and view your streaming data & build streaming data-pipelines in minutes.

  • Scale your Kafka connectors and processors
  • Inspect and debug your message pipelines
  • Integrate with your CI with end-points

Data Scientist

Access real-time and historical data stored in Apache Kafka.

  • Sample, Query and Collect data from Kafka
  • Integrate with your Python application, Jupyter Notebook or R Studio.


Drill into 60 days of low-level monitoring metrics using the Cloud Native Computing Foundation industry standard monitoring tools.

  • 150+ hand-picked KPIs across 5 DashBoards.
  • Prometheus Exporters.
  • Monitor all your JVM based services.

Use Cases

Speed. Insight. Governance.

Enhance your IoT infrastructure - from autonomous vehicles to agriculture or home devices. Use the CoAP and MQTT connectors and move the generated data into the appropriate data store.


Comply with corporate security requirements and regulations. Accelerate your release cycles and operate fast and safely


Transition from a large scale monolithic architecture and embrace the microservices paradigm and process data as soon as it arrives.


Latest Blogs

Lenses 2.1
  • Stefan Bocutiu
  • 10 Aug 2018

Lenses on HDInsight
  • Marios Andreopoulos
  • 10 Jul 2018

Using the Lenses SQL Jdbc driver with Apache Spark
  • Stephen Samuel
  • 1 Jun 2018

Data Governance and GDPR with Apache Kafka
  • Antonios Chalkiopoulos
  • 5 May 2018

How to scale Lenses SQL Kafka stream processors via Kubernetes

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