Product / SQL
Drive your streaming data with SQL
Know and navigate what’s inside your real-time apps - without knowing Apache Kafka
Discovering what data is generated by your different real-time apps and teams can take months.
That’s before even processing it.
Lenses lets anyone explore and process data in one DataOps environment.
Real-time data catalog
First, use the catalog to explore metadata across your real-time data platform & apps including Kafka and Elasticsearch.
- Automatic data discovery
- Google-search metadata
- Real time topology and lineage
Explore payload with SQL
Next enrich, transform and filter streaming data using SQL semantics. No coding required.
- Explore payload across any serialization
- Create rules for data masking
- Restrict data access with security namespaces
Real-time data processing with SQL
Then filter, aggregate, transform and reshape streaming data.
- Deploy over your existing Kubernetes or Connect infrastructure
- Build in monitoring & alerting
- Integrate data into 3rd party stores with connectors
Why use a Lenses workspace?
Enable app teams
Open up your platform to anyone that speaks data
Deploy on your infrastructure
Explore data then scale data processing on Kubernetes
Reach production safely
Meet complex compliance with security & auditing
How to
Navigate data with SQL
Our Snapshot SQL helps you find those needles in a haystack of real-time data. We walk you through how it works.
Explore data
Debug microservices
React to live data
Our teams use Lenses.io as a portal to provide insights into how the data is represented, but also as a mechanism for feedback on the schema itself
Read More
Anders Eriksson
How to
Build apps with SQL
Transform data
Run on any Kubernetes
Extend with UDFs/UDAFs
Try out SQL on real-time data