Real-time data streaming, CDC and integration platform for AI-ready data
Striim sells a real-time streaming and change-data-capture platform spanning Oracle, SQL Server, MySQL and the three major clouds. Its stack pairs streaming engines (Kafka, Flink, Spark Streaming) with ML tooling like Vertex AI, SageMaker, MLflow and Model Context Protocol, pointing to a push toward AI-ready pipelines. Job posts stress tiger-team escalations and complex deployments, so post-sales stability is a live priority alongside product launches.
Striim, founded in 2012 and headquartered in Palo Alto, California, builds a SaaS platform for real-time data integration, streaming analytics and database replication. The product moves relational and unstructured data across databases, applications and clouds including AWS, Azure and GCP. It targets large enterprises that need low-latency data for analytics and AI use cases. The privately held company has 201–500 employees and hires across engineering, sales, product and marketing in the United States and India.
Striim's stack includes Java, Python, Kafka, Apache Flink, Spark Streaming, Oracle GoldenGate, Snowflake, Databricks, Kubernetes, Docker and Jenkins, running across AWS, Azure and GCP.
Striim is headquartered in Palo Alto, California, and currently hires in the United States and India.
Job posts point to a next-generation AI data modernization platform, real-time CDC and integration solutions, monitoring and observability, simpler pipeline configuration, and go-to-market for AI-driven features.
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Striim's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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