Striim
Real-time data integration and streaming platform with CDC, stream analytics, and 150+ connectors
Founded
2012
Starting Price
Free
Category
General
Last updated March 29, 2026
About Striim
Striim is an enterprise-grade unified data integration and streaming platform that combines change data capture (CDC), real-time data pipelines, stream analytics, and visualization in a single product. It captures database changes from Oracle, SQL Server, PostgreSQL, and MySQL in real-time using log-based CDC — with zero impact on source systems — and routes them to cloud data warehouses, data lakes, or applications. With 150+ pre-built connectors and SQL-based stream processing, Striim powers zero-downtime cloud migrations, real-time analytics, and continuous data replication across hybrid and multi-cloud environments. Available as fully managed SaaS on AWS, Azure, and Google Cloud, or as self-managed software.
Pros & Cons
Pros
- Log-based CDC has zero impact on source database performance — critical for production systems
- 150+ connectors cover virtually all major cloud and on-premise targets out of the box
- SQL-based stream processing lowers learning curve for data engineers familiar with SQL
- Available as fully managed SaaS on all three major clouds eliminates infrastructure overhead
- Schema evolution management handles data drift gracefully without pipeline breakage
Key Features
Log-Based Change Data Capture (CDC)
Captures inserts, updates, and deletes from Oracle, SQL Server, PostgreSQL, MySQL, and mainframes via transaction logs — no impact on source DB performance
150+ Pre-Built Connectors
High-performance connectors for cloud data warehouses (Snowflake, BigQuery, Databricks, Azure Synapse), databases, and SaaS apps (HubSpot, Zendesk, Stripe)
SQL-Based Stream Processing
Runs continuous SQL queries on live data streams including filtering, joins, aggregations, enrichment, and complex event processing
Schema Evolution Management
Detects schema changes in source systems and gives users full control over how schema drift propagates to downstream consumers
Zero-Downtime Migration
Migrates databases to cloud targets with continuous replication and automated cutover, keeping source and target in sync until switchover
Streaming Analytics & Visualization
Built-in dashboards and alerting for real-time visibility into data flows, anomaly detection, pattern matching, and operational metrics
Pricing
Free Trial
Free
- Full platform access
- CDC and streaming pipelines
- Pre-built connectors
- Cloud or self-managed
Usage-Based
\u00240.50/vCPU/hour
Best For
Cloud Migration
Zero-downtime migration from on-premise Oracle or SQL Server to Snowflake, BigQuery, or Azure Synapse with continuous sync until cutover
Real-Time Data Warehousing
Continuously feed cloud data warehouses with fresh operational data for up-to-the-second analytics dashboards
Legacy Modernization
Bridge legacy mainframes and databases to modern cloud-native applications and event-driven architectures
Operational Analytics
Stream transactional data to analytics platforms in real-time for fraud detection, anomaly alerts, and business monitoring
