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Striim

Striim is a commercial real-time data integration platform combining change data capture with streaming SQL, moving data from operational databases and SaaS applications into warehouses, lakehouses, and Kafka as it changes.

LicenseCommercial
DeploymentManagedSelf-hosted
PricingFreeSubscription
Operational complexityMedium
WorkloadStreaming

Use it when

  • Changes must be transformed in flight: streaming SQL filters, joins, masks, and aggregates between capture and delivery, before data lands anywhere.
  • Sources mix databases and SaaS: Oracle, MySQL, PostgreSQL, SQL Server, and MongoDB alongside Salesforce, Stripe, ServiceNow, and more than a hundred connectors overall.
  • Targets are the modern warehouses: Snowflake, BigQuery, Databricks, Synapse, and Kafka, with exactly-once delivery configurable.
  • You want the same platform managed as SaaS or self-managed in your own cloud.

Think twice when

  • Replication alone is the need; pure movers (Datastream, DMS, Debezium) do it with less platform to own or license.
  • Budget is small; Cloud bills per event and Platform is licensed per connector, and this is enterprise software.
  • You would rather transform after landing; the in-flight SQL is the differentiator you would be paying for.

How it runs

A multi-node Striim cluster with its own metadata repository, run for you as SaaS on the major clouds or self-managed. Sources need log access (ARCHIVELOG plus LogMiner or XStream on Oracle); pipelines apply streaming SQL between source and target, with schema-drift actions configurable per target. Striim Developer is the free sandbox.

Details

Compare

How Striim answers the questions Change Data Capture turns on.

Change Data Capture
How it works
Initial snapshotBulk load with CDC capturing during it
End-to-end lagNear real-time; events move through the pipeline continuously
Delivery guaranteeExactly-once (E1P); at-least-once also configurable
Schema driftPer-target DDL action: process, ignore, quiesce or halt
Running it
What you runA multi-node Striim cluster with its own metadata repository
Connections
SourcesOracle, MySQL, PostgreSQL, SQL Server, MongoDB and SaaS apps
Source requirementsOracle needs ARCHIVELOG, supplemental logging and LogMiner or XStream
TransformationsStreaming SQL in flight: filter, join, mask, aggregate before delivery
DestinationsSnowflake, BigQuery, Databricks, Synapse, Kafka
Cost
Billing unitEvents on Cloud; Platform licensed per connector

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