Confluent Cloud + Materialize:
SQL on Kafka that Just Works
Connect Materialize to Confluent Cloud to transform and serve data in real-time.
Strong Consistency
Eliminate frustrating heisenbugs caused by eventually-consistent processing models.
JOINs without Limits
Run the same complex, multi-way joins from your warehouse on streaming data.
No Connectors Needed
Materialize actively consumes and produces messages to/from Kafka.
A Battle-Tested Confluent Integration, Trusted By Data Teams
We decided to look into Materialize to handle personalization and feature-serving in real-time, and by that evening we were up and running.
Tom Cooper Head of Data, Superscript
How Materialize Integrates with Confluent Kafka
Deliver a fully-capable streaming-first data warehouse in three steps.
Confluent Kafka
Cloud-native data streaming platform by the creators of Kafka, used for data integration between decoupled systems.
Materialize
Materialize is a fast, distributed, SQL database built on streaming internals.
Stream from Confluent to Materialize
Materialize securely connects to your cluster, continuously consumes messages with high throughput and subsecond latency.
Transform data with SQL
Write the same complex SQL you use in a warehouse to join, aggregate and run computations. Materialize continuously updates results.
Sink data to Confluent, serve via SQL
Stream changes to results back out to Confluent Kafka as individual messages, or query Materialize with any PostgreSQL driver or compatible tool.
Build Operational Data Products with dbt + Materialize
Real-Time & User-Facing Analytics
→Dashboards and data products need to be reactive to up-to-the-minute changes in your business.
Real-time Fraud Detection
→Monitor transactions as they occur and stop fraud in seconds.
Automation and Alerting
→Save time for your users, and build value by taking action or notifying at only the right moments.
Segmentation and Personalization
→Value of personalization, recommendations, dynamic pricing increases as latency of data aggregations approaches zero.
ML in Production
→Online feature stores need continually updated data, operators need to monitor and react to changes in ML effectiveness.
Enterprise Features for Teams at Scale
Resource-Based Pricing
Eliminate cost uncertainty with a predictable, unified pricing model based on resources used.
Secure and Compliant
Materialize is SOC 2 Type 2 compliant, encrypted at rest, with secure connectivity to your infra.
Built for Teams
Scale confidently with compute-compute separation for isolation of workloads, all with access to the same data.