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Move your data from SQL Server Batch with your free account

Capture data from SQL Server Batch and deliver it to your destinations using Estuary's pre-built connectors. Build pipelines for real-time, incremental, or batch data movement based on connector capabilities.

  • <100ms to batch
  • 200+ connectors
  • Managed data pipelines
Try it freeWatch Demo
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

    Deliver to your destination

    Continuously or periodically deliver your data to the destination you choose, based on the capabilities and configuration of your pipeline.

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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.

4.8/5

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. Capture data from SQL Server Batch using the cadence supported by the connector, then transform and deliver it to the destinations your team uses.

  • Connect SQL Server Batch to warehouses, databases, data lakes, search platforms, and event systems through Estuary-supported destinations.
  • Capture once and reuse SQL Server Batch data across transformations and multiple downstream destinations without rebuilding source extraction.

See where you can send SQL Server Batch data:

Details

or choose from these popular destinations:

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PostgreSQL
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MySQL
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SQL Server
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MongoDB
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Apache Kafka
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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$$$-$$$$$-$$$$$-$$$$
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

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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.