Striim Cloud
A fully managed SaaS solution that enables infinitely scalable unified data integration and streaming.
Striim Platform
On-premise or in a self-managed cloud to ingest, process, and deliver real-time data.
Striim for BigQuery
Striim for Databricks
Striim for Microsoft Fabric
Striim for Snowflake
Pricing that is just as flexible as our products
Learn how Striim Cloud uses best-in-class security features for networking, encryption, and secret storage.
Discover transformational decision-making by integrating real-time data and real-time AI to accelerate business performance and growth.
AI & ML
Unify data in real time on a fully managed, SaaS-based platform optimized for the power and scalability of AI-ready data pipelines.
Streaming Integration
Enable real-time data flow with high throughput and low latency, ensuring the seamless handling of large-scale data for immediate insights and decision-making.
High Availability
Enable cloud data high availability through real-time database and object store data replication, ensuring seamless data synchronization and resilience across cloud environments.
AWS
Deliver real-time data to AWS, for faster analysis and processing.
Google Cloud
Unify data on Google Cloud and power real-time data analytics in BigQuery.
Microsoft Azure
Quickly move data to Microsoft Azure and accelerate time-to-insight with Azure Synapse Analytics and Power BI.
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A Comprehensive Guide to Migrating On-Premise Oracle Data to Databricks Unity Catalog with Python and Databricks Notebook
Stream data from Salesforce and Oracle to Azure Synapse
PostgreSQL CDC to Snowflake data pipeline with Schema Evolution and Data Contracts
Oracle Change Data Capture to Databricks
Migrating from MySQL to BigQuery for Real-Time Data Analytics
Stream Data from PostgreSQL to Google BigQuery with Striim Cloud – Part 1
Real-Time Hotspot Detection For Transportation with Striim and BigQuery
Migrating from MySQL to Google Cloud SQL with Change Data Capture
Migrate and Replicate Data from SQL Server to Snowflake with Striim
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