Estuary
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REAL-TIME ETL & CDC

Stream into Imply Polaris with your free account

Continuously ingest streaming and batch change data from 150+ sources into Imply Polaris using Estuary's pre-built no-code connectors.

  • <100ms Data pipelines
  • 200+ Connectors
  • 2-5x less than batch ELT
01. Select a source02. Transform in-flight03. Deliver to Imply Polaris
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Imply Polaris connector details

The Imply Polaris materialization connector in Estuary streams data from Estuary collections to Imply Polaris as Kafka-compatible messages using Dekaf. Imply Polaris can consume these streams through its Kafka ingestion interface for real-time analytics on streaming and batch data.

  • Kafka-compatible streaming from Estuary collections to Imply Polaris
  • No separate Kafka cluster required — Imply Polaris connects directly to Estuary’s Dekaf endpoint
  • One or more Estuary collections can be exposed as Kafka-compatible topics
  • Configurable topic names for individual collection bindings
  • Avro message format for ingestion into Imply Polaris
  • Schema Registry support, allowing Imply Polaris to detect the Avro schema automatically
  • Kafka or CDC deletion modes for controlling how deletions are represented
  • Optional strict Kafka-compatible topic naming
  • SASL/SSL authentication using the materialization name and an authentication token

To connect Imply Polaris, configure a Kafka input using dekaf.estuary-data.com:9092 as the bootstrap server, SASL_SSL with the PLAIN mechanism, and the Estuary materialization name and auth token as the Kafka credentials. Imply Polaris can then ingest the Avro stream and detect its schema through Estuary’s Schema Registry endpoint.

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

How to connect your data source to Imply Polaris 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 Imply Polaris

    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 enable boundless scaling with exactly-once semantics.

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DURABLE REPLICATION

Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.

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REAL-TIME INGESTION

Capture and relay every insert, update, and delete in milliseconds.

Real-timehigh throughput

Point a connector and replicate changes to Imply Polaris in <100ms. Leverage high-availability, high-throughput Change Data Capture.Or choose from 200+ of batch and real-time connectors to move and transform data using ELT and ETL.

  • Ensure your Imply Polaris insights always reflect the latest data by connecting your databases to Imply Polaris with change data capture.
  • Or connect critical SaaS apps to Imply Polaris with real-time data pipelines.

See how you can integrate any source with Imply Polaris:

Details

or choose from these popular data sources:

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

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

Feature Comparison

EstuaryBatch ELT/ETLDIY PythonKafka
Price$$$-$$$$$-$$$$$-$$$$
Speed<100ms5min+Varies<100ms
EaseAnalysts can manageAnalysts can manageData EngineerSenior Data Engineer
Scale
Maintenance EffortLowMediumHighHigh
Detailed Comparison

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

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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.