Striim
UnclaimedUnify data across databases, applications, and clouds in real time for AI-powered insights.
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Reviews onG2
1 review trackedThe Bottom Line
Entry price
Free plan available, paid tiers above
Biggest pro
Provides real-time data for immediate insights and AI/ML applications.
Biggest con
Pricing for enterprise-level features requires contacting sales, which can be less transparent.
TL;DR - Striim
- Real-time data integration and streaming platform using Change Data Capture (CDC).
- Unifies data across databases, applications, and clouds for AI/ML readiness.
- Offers over 100 connectors, streaming SQL, and intelligent schema evolution.
Pricing: Free plan available
Best for: Growing teams
What is Striim?
Striim is a real-time data integration and streaming platform designed to capture, process, and deliver data continuously across various sources and destinations. It leverages Change Data Capture (CDC) to move data from databases, applications, and cloud environments, enabling organizations to build real-time data pipelines.
The platform is built for enterprises looking to operationalize AI and machine learning by providing AI-ready data in real-time. It offers a complete solution for data unification, transformation, and delivery, supporting use cases from securing package delivery with AI to powering global tech operations and improving patient outcomes. Striim aims to reduce total cost of ownership and accelerate time to market for data-driven initiatives.
Striim is ideal for data engineers, architects, and IT managers in organizations that require immediate access to fresh data for analytics, operational intelligence, and AI/ML applications. Its key benefits include simplified data pipelines, minimized latency, enhanced customer experiences through real-time updates, and a single source of truth across diverse data domains.
Available on: Web
Pros & Cons
Pros
- Provides real-time data for immediate insights and AI/ML applications.
- Simplifies complex data pipelines with a drag-and-drop UI and automated features.
- Reduces total cost of ownership through managed services and efficient data movement.
- Offers extensive connectivity to various databases, applications, and cloud services.
- Ensures data consistency and reliability with intelligent schema evolution and validation capabilities.
Cons
- Pricing for enterprise-level features requires contacting sales, which can be less transparent.
- The complexity of real-time streaming and CDC might have a learning curve for new users.
Ratings Across the Web
5(1 reviews)
Ratings aggregated from independent review platforms. Learn more
Key Features
Change Data Capture (CDC)Over 100 high-performance connectors (e.g., Azure Synapse, Databricks, Snowflake, Oracle, MySQL)Integration for AI and Machine Learning (AI-ready vectors, built-in ML functions)Intelligent Schema Evolution (capture schema changes, configure propagation)Streaming SQL (run transformations, joins with historical caches, scale to billions of events/minute)Data Pipeline Monitoring (visualize health, latency, table-level metrics, alerts)Automated Data PipelinesServerless Stream Processing with SQL
Pricing Plans
Free TrialPricing checked Jun 18, 2026
Validate
Contact Sales
- Validate data in databases and data warehouses
- Full-dataset, partial dataset, and Custom Validations
- Validata AI for intelligent workflows
- Flexible validation schedules
- Intelligent auto-mapping of tables and columns
- UI & downloadable reports
- Reconciliation scripts to resolve dataset discrepancies
- Unlimited Data Volumes
Striim Developer
Free
- Automated Data Pipelines
- Serverless Stream Processing with SQL
- OAuth connector support
- Vaults for password security
- Dedicated compute and networking
- Distributed pipelines
- Trial access to all premium, standard and 200+ preview application connectors
- Up to 25 million events / month
Striim Cloud
Contact us for pricing
- Fully managed, horizontally scalable streaming
- Automated Data Pipelines
- Dedicated compute and networking
- SOC-2 Type II, HIPAA, PCI DSS
- Customer managed encryption keys
- Private and on-premise networking
- Horizontally scalable, distributed pipelines
- All premium and standard connectors
Striim Platform
Contact Sales
- Automated Data Pipelines
- Deploy your own compute
- Clustered deployments with HA
- Vaults for password security
- Self-managed monitoring and alerts
- Horizontally scalable, distributed pipelines
- License the connectors you need
- Unlimited Self-Managed (On-Premise or Cloud VM)
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Striim FAQ
How does Striim facilitate AI and ML integration with real-time data?
Striim transforms relational and unstructured data into AI-ready vectors and automated insights in real-time. It includes built-in machine learning functions to generate intelligent actions for systems of engagement and build AI-powered customer experiences.
What capabilities does Striim offer for managing schema changes in streaming data?
Striim provides intelligent schema evolution capabilities, allowing full control when data drifts. Users can capture schema changes, configure how each consumer propagates the change, or halt and alert when manual resolution is needed.
Can Striim perform transformations on streaming data using SQL?
Yes, Striim is built on a distributed, streaming SQL platform. It allows users to run transformations on streaming data, including queries and joins with historical caches, and can scale to process billions of events per minute.
What options are available for deploying Striim, and what are their key differences?
Striim offers three main deployment options: Striim Cloud, a fully managed service; Striim Platform, for self-hosted deployments on your infrastructure; and Striim Developer, a free option for learning and small-scale use cases. Striim Cloud is horizontally scalable and includes dedicated compute and networking, while Striim Platform allows you to deploy your own compute and manage monitoring.
What security and compliance certifications does Striim Cloud support?
Striim Cloud supports SOC-2 Type II, HIPAA, and PCI DSS compliance. It also offers customer-managed encryption keys and options for private and on-premise networking.
How does Striim's data validation feature, Validata AI, enhance data integrity?
Validata AI provides intelligent workflows for monitoring, comparing, and verifying datasets at scale. It supports full-dataset, partial dataset, and custom validations, along with intelligent auto-mapping of tables and columns, and generates reconciliation scripts for discrepancies.
Source: striim.com