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Striim has launched SQL2Fabric-X, a solution for real-time data replication and insights tailored for businesses.

Mar 31, 2025
Palo AltoInformation TechnologySoftwareArtificial IntelligenceSaasEnterprise SoftwareAnalyticsMachine Learning

Product Description

Striim announced the general availability of SQL2Fabric-X, designed to facilitate seamless data replication from SQL Server databases to cloud ecosystems like Microsoft Fabric and Azure Databricks, ensuring up-to-date AI and analytics capabilities.

Company Information

Company

Striim

Location

Palo Alto, California, United States

About

Striim offers a leading real-time data streaming and integration platform, built by the same team behind Oracle GoldenGate. Its SaaS solution unifies data across clouds, applications, and databases, enabling businesses to quickly transform relational and unstructured data into AI-ready insights for faster, data-driven decisions. Trusted by the largest Fortune 100 companies, Striim processes over 100 billion events daily with sub-second latency.

Fundz sees it the moment Striim ships something new, hires an exec or expands, usually minutes after it happens, and tells you who to reach.

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Fundz is a real-time business intelligence platform powered by agentic AI that proactively delivers personalized daily signals, including funding rounds, executive changes, M&A activity, 13F institutional filings, SEC 8-K events, investor activity, and website modifications, based on each user's watchlist and ICP. A trusted data source at firms such as BlackRock, Oracle, Kleiner Perkins, LinkedIn, HubSpot, and Cloudflare, Fundz democratizes the institutional-grade intelligence that previously required a PitchBook or Bloomberg terminal. Features include FundzWatch™ for automated website change detection, Daily Briefing for AI-powered daily briefings, and unified cross-signal alerts across 281,000+ organizations. Developers and data teams can access these signals programmatically via the Fundz Funding Data API, with transparent published pricing.