A fully managed SaaS solution that enables infinitely scalable unified data integration and streaming.
On-premise or in a self-managed cloud to ingest, process, and deliver real-time data.
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.
Unify data in real time on a fully managed, SaaS-based platform optimized for the power and scalability of AI-ready data pipelines.
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.
Enable cloud data high availability through real-time database and object store data replication, ensuring seamless data synchronization and resilience across cloud environments.
Deliver real-time data to AWS, for faster analysis and processing.
Unify data on Google Cloud and power real-time data analytics in BigQuery.
Quickly move data to Microsoft Azure and accelerate time-to-insight with Azure Synapse Analytics and Power BI.
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A podcast by Striim (pronounced 'Stream') that covers the latest trends and news in data, cloud computing, data streaming, and analytics.
Spencer Cook, Senior Solutions Architect at Databricks, joins to unpack how enterprises are moving beyond hype and building practical AI systems using vector search, RAG, and real-time data pipelines. He and John Kutay get into what it really takes to serve production LLMs safely, avoid hallucinations, and tie AI back to business outcomes—without losing sight of governance, latency, or customer experience.
Follow Spencer on: LinkedIn
