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.
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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.
Flexible Models for Every Business.
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Alok Pareek, Founder and EVP of Products at Striim, presents “Streaming Relational Data into Google BigQuery: Real World Best Practices” at the Big Data LDN conference on September 24, 2020.
This session covers: data warehousing and the rationale for BigQuery, data integration architectural patterns and considerations, building streaming data pipelines for BigQuery, real world Java based implementation, and implementation, challenges & best practices.
