Estuary

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
01. Select a source02. Transform in-flight03. Deliver to Materialize
Materialize logo
take a tour
Materialize logo

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.

For more details about the Materialize connector, check out the documentation page.

How to connect your data source to Materialize in 3 easy steps

  1. 1

    Connect your data source

    Select from more than 100 supported databases and SaaS platforms including PostgreSQL, MySQL, SQL Server, MongoDB, and Kafka.

  2. 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. 3

    Sync to Materialize

    Continuously or periodically deliver data into your destination with support for change data capture and reliable delivery for accurate insights.

Learn more with some related videos

Dive deeper into Materialize with tutorials and walkthroughs from our YouTube channel.

Get Started Free

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.

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:

Details

or choose from these popular data sources:

PostgreSQL logo
PostgreSQL
MySQL logo
MySQL
SQL Server via CDC logo
SQL Server via CDC
MongoDB logo
MongoDB
Apache Kafka logo
Apache Kafka
BigQuery logo
BigQuery
Snowflake Data Cloud logo
Snowflake Data Cloud

Don't see a connector?Request and our team will get back to you in 24 hours

Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.

Feature Comparison

EstuaryBatch ELT/ETLDIY PythonKafka
Price$$$-$$$$$-$$$$$-$$$$
Latency<100ms to scheduled5min+Varies<100ms
EaseAnalysts can manageAnalysts can manageData EngineerSenior Data Engineer
Scale
Maintenance EffortLowMediumHighHigh

One platform for real-time and batch data pipelines

Detailed Comparison

Deliver real-time and batch data from DBs, SaaS, APIs, and more

Connection-1

Popular sources/destinations you can sync your data with

Choose from more than 100 supported databases and SaaS applications. Click any source/destination below to open the integration guide and learn how to sync your data in real time or batches.