Estuary
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REAL-TIME ETL & CDC

Move your data from SQL Server Batch with your free account

Continuously capture streaming and batch change data from SQL Server Batch and deliver it to any destination using Estuary's pre-built no-code connectors.

  • <100ms Data pipelines
  • 200+ Connectors
  • 2-5x less than batch ELT
01. Move from SQL Server Batch02. Transform in-flight03. Select a destination
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SQL Server Batch connector details

The SQL Server Batch Query connector captures data from SQL Server by periodically executing queries and loading the results into Estuary collections. It is designed for scheduled batch ingestion rather than real-time CDC, making it useful when you need to capture database views, run custom SQL queries, use a read replica, or connect to a SQL Server instance that does not support CDC or Change Tracking.

  • Scheduled query-based capture with configurable polling intervals
  • Full-refresh and incremental capture using cursor-based queries
  • Capture from SQL Server tables and database views
  • Custom SQL queries for filtering, aggregations, or capturing specific subsets of data
  • Read replica support for reducing load on the primary database
  • Flexible cursor options, including update timestamps, creation timestamps, and auto-incrementing IDs

The connector supports self-hosted SQL Server as well as managed deployments such as Amazon RDS and Azure SQL Database.

For more details about the SQL Server Batch connector, check out the documentation page.

How to connect SQL Server Batch to your destination in 3 easy steps

  1. 1

    Connect SQL Server Batch as your data source

    Securely connect SQL Server Batch and choose the objects, tables, or collections you need to sync.

  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 your destination

    Continuously or periodically deliver data to 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 from SQL Server Batch 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 SQL Server Batch insights always reflect the latest data by connecting your databases to SQL Server Batch with change data capture.
  • Or connect critical SaaS apps to SQL Server Batch with real-time data pipelines.

See how you can integrate SQL Server Batch with any destination:

Details

or choose from these popular data sources:

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PostgreSQL
MySQL logo
MySQL
SQL Server logo
SQL Server
MongoDB logo
MongoDB
Apache Kafka logo
Apache Kafka
Google Bigquery logo
Google Bigquery
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Snowflake

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$$$-$$$$$-$$$$$-$$$$
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.