Stream into Materialize with your free account
Deliver data from databases, SaaS apps, APIs, files, and streaming systems into Materialize using Estuary's pre-built connectors. Run pipelines from real-time streaming to scheduled batch based on connector capabilities.
- <100ms to batch
- 200+ connectors
- Managed data pipelines
Materialize connector details
The Materialize connector in Estuary streams data from Estuary collections to Materialize as Kafka-compatible messages using Dekaf. Materialize connects directly to Estuary as a Kafka source, enabling continuously updated SQL views and real-time analytics without requiring a separate Kafka cluster.
- Kafka-compatible streaming from Estuary collections to Materialize
- Direct integration with Materialize’s Kafka source connector
- No separate Kafka cluster required between Estuary and Materialize
- Avro message format for structured streaming data
- Confluent Schema Registry-compatible endpoint for automatic schema discovery
- UPSERT envelope support in Materialize for maintaining the latest state of keyed records
- Configurable Kafka topic names for individual Estuary collection bindings
- Kafka or CDC deletion modes for controlling how deletions are represented
- Optional strict Kafka-compatible topic naming
- SASL/SSL authentication using the Estuary materialization name and an authentication token
Materialize connects to Estuary’s Dekaf endpoint using SASL_SSL with the PLAIN mechanism. After configuring the Kafka connection and Schema Registry connection, you can create a Materialize source using Avro and ENVELOPE UPSERT, then build continuously updated materialized views with standard SQL.
How to connect your data source to Materialize in 3 easy steps
- 1
Connect your data source
Select from more than 100 supported databases and SaaS platforms including PostgreSQL, MySQL, SQL Server, MongoDB, and Kafka.
- 2
Prepare and transform your data
Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.
- 3
Sync to Materialize
Continuously or periodically deliver data into your destination with support for change data capture and reliable delivery for accurate insights.
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Trusted by data teams worldwide
All data connections are fully encrypted in transit and at rest. Estuary also supports private cloud and BYOC deployments for maximum security and compliance.
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HIGH THROUGHPUT
Distributed, event-driven architecture scales for demanding data workloads.
DURABLE COLLECTIONS
Store data as it moves so you can transform, replay, and deliver it downstream.
FLEXIBLE LATENCY
From <100ms CDC and real-time streaming to scheduled batch, depending on connector capabilities.
From <100ms to batch
Estuary supports CDC, real-time streaming, incremental syncs, and scheduled batch across its connector ecosystem. Bring data from databases, SaaS apps, APIs, files, and event streams into Materialize, with capture and delivery cadence based on connector capabilities and pipeline configuration.
- Connect data from operational databases, SaaS applications, APIs, files, and streaming systems to Materialize through Estuary.
- Transform and route data through Estuary collections before delivering it to Materialize.
See what you can connect to Materialize:
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Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.
Feature Comparison
| Estuary | Batch ELT/ETL | DIY Python | Kafka | |
|---|---|---|---|---|
| Price | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Latency | <100ms to scheduled | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale | ||||
| Maintenance Effort | Low | Medium | High | High |
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