Striim

What Striim does

Striim offers a leading real-time data streaming and integration platform that unifies data across clouds, applications, and databases. Its SaaS solution enables businesses to quickly transform relational and unstructured data into AI-ready insights for faster, data-driven decisions. With expertise in real-time integration, streaming analytics, and database replication, Striim processes over 100 billion events daily with sub-second latency. The platform provides over 100 high-performance connectors and Change Data Capture (CDC) capabilities, making it easy to connect to popular data sources and targets. Striim also features intelligent schema evolution, streaming SQL, and pipeline monitoring. It is built on a distributed, streaming SQL platform, allowing continuous queries on streaming data and scaling to billions of events per minute. Striim offers various deployment options including fully managed cloud, self-hosted platform, and a developer plan, with flexible pricing models. The company emphasizes security with a cloud-first approach, zero-trust access model, and compliance with SOC-2 Type II, HIPAA, and PCI DSS.

Products

• Striim DeveloperA free plan for learning and small-scale use cases, offering automated data pipelines, serverless stream processing with SQL, OAuth connector support, vaults for password security, dedicated compute and networking, distributed pipelines, and trial access to premium and standard connectors for up to 25 million events per month.
• Striim CommunityA serverless offering of the Striim platform.
• Striim CloudA fully managed, horizontally scalable streaming platform with SOC-2 Type II, HIPAA, PCI DSS compliance, customer-managed encryption keys, private and on-premise networking, and all premium and standard connectors. Users pay only for the data moved.
• Striim PlatformFor self-hosted deployments on the user's infrastructure, allowing deployment of own compute, clustered deployments with high availability, self-managed monitoring and alerts, and licensing of needed connectors for unlimited data volumes.
• ValidataA platform for continuously verifying and reporting data consistency between source and target systems. It ensures operational stability, cleaner audits, and trustworthy data for AI and analytics. Available as Self-Managed or Fully Managed SaaS (Validata Cloud).
• Validata AIIntelligent workflows for data validation within the Validata platform.

Key capabilities

• Real-time data streaming and integration
• Change Data Capture (CDC)
• Streaming Analytics
• Database Replication
• Over 100 high-performance connectors
• Point-and-click wizard for connecting sources
• Intelligent Schema Evolution
• Streaming SQL for continuous queries
• Pipeline Monitoring
• AI-ready data transformation
• Built-in machine learning functions
• Fully managed SaaS solution (Striim Cloud)
• Self-hosted deployment option (Striim Platform)
• Data validation and reconciliation (Validata)
• Full-dataset, partial dataset, and Custom Validations (Validata)
• Intelligent auto-mapping of tables and columns (Validata)
• UI & downloadable reports (Validata)
• Reconciliation scripts to resolve dataset discrepancies (Validata)
• SAML Authentication
• Role Based Access Control (RBAC)
• Encryption In-Flight and at rest
• TLS 1.3 connections
• API Rate Limiting
• Dedicated VPC per tenant
• Audit Logs
• Secure Connections (SSH Tunnel, IP Allowlisting, Private Link options for Azure, Google, AWS)
• Horizontally scalable, distributed pipelines
• Usage-based pricing

Use cases

• Real-time intelligence
• AI-secured package delivery
• Powering global TechOps with a real-time data hub
• Building modern, self-serve data and analytics ecosystems
• Revolutionizing data infrastructure for real-time insights
• Improving patient outcomes with real-time data
• Enhancing customer experience with AI and ML
• Reducing total cost of ownership for data infrastructure
• Achieving a single source of truth across domains
• Creating real-time data for business operations
• Improving transparency and reducing customer service calls with real-time order status updates
• Simplifying pipelines and minimizing latency for real-time decision support
• Turning relational and unstructured data into AI-ready vectors
• Generating intelligent actions to systems of engagement
• Building AI-powered customer experiences
• Validating data in databases and data warehouses
• Catching data drift and broken mappings
• Ensuring data matches during cloud migration
• Achieving regulatory compliance and audit readiness
• Assuring AI/ML data quality
• Detecting real-time fraud
• Monitoring compliance (KYC, AML) in real-time
• Improving customer retention through personalized experiences
• Managing risks including cybersecurity threats and market volatility
• Modernizing data infrastructure for hospitality and entertainment
• Building real-time data integration pipelines to Azure Synapse Analytics
• Building real-time data integration pipelines to Databricks
• Building real-time data integration pipelines to Google BigQuery
• Streamlining inventory and order management
• Ensuring consistent customer experiences across online and in-store channels
• Accelerating application development and deployment
• Supporting digital transformation goals
• Enhancing real-time visibility into stock levels and product availability
• Improving on-shelf availability
• Improving inventory management
• Empowering senior leaders and store colleagues with real-time operational data
• Increasing efficiency in online picking process
• Establishing a data-driven culture
• Providing real-time product analytics
• Enhancing operational efficiency through multi-database syncs
• Ensuring data security and compliance for technology companies
• Delivering personalized customer experiences for technology companies

AI approach

Striim provides a real-time data streaming and integration platform that transforms relational and unstructured data into AI-ready insights. It offers built-in machine learning functions to generate intelligent actions and build AI-powered customer experiences. The platform also includes Validata AI for intelligent workflows in data validation and reconciliation, and facilitates the deployment of sophisticated AI/ML models for anomaly detection and fraud prevention.

Tech named: AI, ML, machine learning functions, AI-ready vectors, Validata AI, predictive models, propensity models

Industries served

• Healthcare & Life Sciences
• Logistics
• Retail
• Financial Services
• Telecommunications
• Technology
• Hospitality and Entertainment

What it says sets it apart

• Built by the same team behind Oracle GoldenGate
• Processes over 100 billion events daily with sub-second latency
• SaaS solution unifies data across clouds, applications, and databases
• Transforms relational and unstructured data into AI-ready insights
• Complete Change Data Capture and Streaming platform
• Simple drag and drop UI
• No maintenance overhead for infrastructure
• Single source of truth across domains
• Speeds time to market
• Fundamental part of architecture for real-time data
• Significant enhancement in customer communication with real-time updates
• Streamlined operations and efficient resource allocation
• Simplifies pipelines and minimizes latency for real-time decision support
• Infinitely scalable platform
• Flexible solution without limitations that moves data in milliseconds
• Simple interfaces to build smart data pipelines in minutes
• Distributed, streaming SQL platform for continuous queries
• Usage-based pricing that scales with business needs
• Cloud-first security approach and zero trust access model
• Compliance with SOC-2 Type II, HIPAA, PCI DSS
• Expert onboarding and professional services
• Continuous data verification and reporting for data consistency (Validata)
• Ability to generate target-side repair scripts for data mismatches (Validata)
• Multiple validation methods (Vector, Full Record, Fast Record, Internal, Key, Custom SQL) (Validata)