Striim Platform
Striim is a real-time data integration and streaming platform founded in 2012 and headquartered in Palo Alto, CA.
Publisher review
Striim is a real-time data integration and streaming platform founded in 2012 and headquartered in Palo Alto, CA. It is designed for enterprises that need to unify data across databases, applications, and clouds with low latency. The platform is particularly suited for organizations running mission-critical operations on Oracle, PostgreSQL, MongoDB, MySQL, HPE Nonstop, and SQL Server, as well as those deploying on AWS, Google Cloud, or Microsoft Azure. Striim serves use cases such as real-time analytics, AI/ML model feeding, and operational data hubs, with notable customers including American Airlines, UPS, Discovery Health, and Ciena.
Striim’s core engine is a distributed, streaming SQL platform that can run continuous queries on live data, join streaming data with historical caches, and scale to billions of events per minute. It uses log-based Change Data Capture (CDC) to capture database changes with minimal overhead, supporting exactly-once delivery via advanced checkpointing. The platform offers a point-and-click wizard for building data pipelines, hundreds of pre-built connectors for sources and targets (e.g., Azure Synapse, Snowflake, Google BigQuery, Databricks, Kafka), and built-in schema evolution that lets users control how schema changes propagate or halt pipelines for manual resolution. Monitoring dashboards provide end-to-end latency metrics and table-level health, accessible via REST APIs.
In the data integration market, Striim competes directly with Fivetran, StreamSets, and Confluent. Unlike Fivetran’s batch-oriented, fully managed ELT approach, Striim emphasizes real-time streaming and in-flight transformation. Compared to StreamSets, Striim offers deeper CDC support for legacy databases like HPE Nonstop and stricter SLAs (99.99% uptime guarantee). Against Confluent, Striim provides a higher-level abstraction with built-in SQL streaming and schema evolution, reducing the need for custom Kafka stream processing. However, Striim’s pricing is not publicly disclosed, and it offers four plans—Validata, Striim Developer, Striim Cloud, and Striim Platform—with a free trial available.
The honest trade-offs: Striim’s fully managed service reduces infrastructure overhead, but the undisclosed pricing makes cost comparison difficult. For large-scale deployments, the platform still requires significant ongoing engineering effort to tune pipelines and manage schema drift. Deployment is limited to self-managed or cloud options (no SaaS-only tier), which increases setup and operational effort compared to tools like Fivetran. Additionally, while Striim excels at real-time CDC, its streaming SQL and transformation capabilities may be overkill for teams that only need simple batch replication.
How it works
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Log-based CDC
Captures database changes in real time for Oracle, PostgreSQL, MongoDB, MySQL, HPE Nonstop, and SQL Server with minimal performance impact.
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Streaming SQL engine
Runs continuous SQL queries on streaming data, joins with historical caches, and scales to billions of events per minute.
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Schema evolution
Automatically detects schema changes and lets users configure propagation rules, halt pipelines, or trigger alerts for manual resolution.
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Exactly-once delivery
Guarantees no data loss or duplication using advanced checkpointing, even during failures or restarts.
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Hundreds of connectors
Pre-built connectors for sources and targets including Azure Synapse, Snowflake, Google BigQuery, Databricks, Kafka, and Microsoft SQL Server.
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Pipeline monitoring dashboards
Built-in dashboards show end-to-end latency, table-level metrics, and pipeline health, accessible via REST APIs.
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Point-and-click wizard
Simplifies pipeline creation with a drag-and-drop interface to select tables, migrate schemas, and start data movement in seconds.
Strengths and trade-offs
Strengths
- High-performance log-based CDC supports Oracle, PostgreSQL, MongoDB, MySQL, HPE Nonstop, and SQL Server with minimal database overhead.
- Streaming SQL engine can process billions of events per minute, enabling real-time analytics and in-flight transformations.
- 99.99% uptime SLA with advanced checkpointing ensures exactly-once delivery and high availability for mission-critical pipelines.
- Built-in schema evolution provides granular control over how schema changes propagate, with options to halt or alert for manual resolution.
Trade-offs
- Pricing is not publicly disclosed, making it difficult to compare total cost of ownership against competitors like Fivetran or Confluent.
- Large-scale deployments require significant ongoing engineering effort to tune pipelines, manage schema drift, and handle operational complexity.
- Deployment is limited to self-managed or cloud options, with no fully SaaS-only tier, increasing setup and maintenance overhead.
- Streaming SQL and transformation capabilities may be excessive for teams that only need simple batch replication, adding unnecessary complexity.
Pricing context
Four plans: Validata, Striim Developer, Striim Cloud, and Striim Platform. Pricing not disclosed publicly; free trial available.
Getting started with Striim Platform
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Sign up for Striim
Go to the Striim website and click the free trial button. Fill in your work email and company details, then verify your email. Choose the Striim Cloud plan to start with a fully managed environment.
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Connect a source database
In the Striim console, click the 'Add Source' button. Select your database type (e.g., Oracle, PostgreSQL) and enter the host, port, credentials, and database name. Enable log-based CDC to capture real-time changes.
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Define a streaming pipeline
Use the point-and-click wizard to select the source tables you want to replicate. Choose a target like Snowflake or Kafka. Configure schema evolution rules to automatically handle column additions or halt the pipeline on breaking changes.
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Run the pipeline and verify data
Click 'Deploy' to start the pipeline. Monitor the dashboard for end-to-end latency and table-level metrics. Query the target system to confirm that data is arriving in real time with exactly-once delivery.
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Set up monitoring alerts
In the monitoring dashboard, configure alerts for pipeline failures, latency spikes, or schema drift. Use the REST API to integrate these alerts with your existing incident management tools like PagerDuty or Slack.
Frequently Asked Questions
What is Striim Platform and what does it do?
Striim is a real-time data integration and streaming platform founded in 2012. It unifies data across databases, applications, and clouds with low latency, supporting use cases like real-time analytics, AI/ML model feeding, and operational data hubs for enterprises.
How does Striim's Change Data Capture work?
Striim uses log-based CDC to capture database changes in real time for Oracle, PostgreSQL, MongoDB, MySQL, HPE Nonstop, and SQL Server with minimal performance impact. It supports exactly-once delivery via advanced checkpointing, ensuring no data loss or duplication.
What databases does Striim support for CDC?
Striim supports log-based CDC for Oracle, PostgreSQL, MongoDB, MySQL, HPE Nonstop, and SQL Server. It captures changes in real time with minimal overhead, making it suitable for mission-critical operations on these databases.
How does Striim compare to Fivetran?
Unlike Fivetran's batch-oriented, fully managed ELT approach, Striim emphasizes real-time streaming and in-flight transformation. Striim offers deeper CDC support for legacy databases like HPE Nonstop and provides a 99.99% uptime SLA, but its pricing is not publicly disclosed.
What are Striim's pricing plans and is there a free trial?
Striim offers four plans: Validata, Striim Developer, Striim Cloud, and Striim Platform. Pricing is not publicly disclosed, making cost comparison difficult. A free trial is available to test the platform before committing.
What are the main weaknesses of Striim Platform?
Striim's pricing is not public, complicating cost comparisons. Large deployments need ongoing engineering for tuning and schema drift. It lacks a fully SaaS-only tier, increasing setup effort. Its streaming SQL may be overkill for teams needing only simple batch replication.
Alternatives
How Striim Platform compares
Direct head-to-head against 3 competitors. Picked by 7wData.
Striim Platform
- Pricing
- Four plans: Validata, Striim Developer, Striim Cloud, and Striim Platform. Pricing not disclosed publicly; free trial available.
- Target
- Striim is a real-time data integration and streaming platform founded in 2012 and headquartered in Palo Alto, CA.
- Strength
- High-performance log-based CDC supports Oracle, PostgreSQL, MongoDB, MySQL, HPE Nonstop, and SQL Server with minimal database overhead.
- Watch for
- Pricing is not publicly disclosed, making it difficult to compare total cost of ownership against competitors like Fivetran or Confluent.
Fivetran
- Pricing
- $1.50/credit, 1M rows = ~$2.50
- Target
- Batch ELT for analytics teams
- Deployment
- Cloud, SaaS
- Strength
- 500+ connectors, zero-maintenance pipelines
- Watch for
- Cost scaling with data volume, limited real-time
AWS Glue
- Pricing
- $0.44/DPU-hour + $0.10/million objects
- Target
- AWS-native ETL workloads
- Deployment
- Cloud, serverless
- Strength
- Tight AWS integration, Spark-based transformations
- Watch for
- Complex pricing model, steep learning curve
Integrate.io
- Pricing
- $1,999/month fixed fee
- Target
- Unified ETL/ELT/CDC
- Deployment
- Cloud or on-prem
- Strength
- Low-code, minute-level CDC
- Watch for
- Fewer real-time streaming features
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Sources
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