Striim
UnclaimedUnify data across databases, applications, and clouds in real time for AI-powered insights.
Visit WebsiteTL;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
Pricing Plans
Free TrialValidate
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- 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
- Customer Success and Premium Support
- On-Premise Deployment
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 Community Serverless
Striim Cloud
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- 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
- Pay only for the data you move
- Customer Success and Premium Support
- Dedicated Cloud
Striim Platform
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- 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)
About 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.
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Striim FAQ
Striim is a real-time data integration and streaming platform that uses Change Data Capture (CDC) to continuously move and process data from various sources like databases, applications, and clouds. It unifies data to make it AI-ready and provides real-time insights for operational intelligence and machine learning applications.
Striim offers a freemium model. The 'Striim Developer' plan is free for learning and small-scale use cases, supporting up to 25 million events/month. For the 'Striim Cloud' (fully managed) and 'Striim Platform' (self-hosted) plans, pricing requires contacting their sales team for a custom quote, though a free trial is available for Striim Cloud.
Yes, Striim offers a free tier called 'Striim Developer' which is suitable for learning and small-scale use cases, providing automated data pipelines and serverless stream processing for up to 25 million events per month. A free trial is also available for the 'Striim Cloud' fully managed service.
Striim is designed for data engineers, data architects, IT managers, and organizations that require real-time data for operational intelligence, analytics, and AI/ML initiatives. It serves businesses across various industries, including logistics, airlines, retail, and healthcare, that need to integrate and process high volumes of data continuously and with low latency.