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Acceldata Data Observability Platform gives enterprises visibility into the reliability, performance, and usage of data platforms, helping to ensure data quality while controlling costs.
Open Architecture, AI-driven Data Observability Startup Telmai Raises Oversubscribed Seed Funding of $5.5M. SAN FRANCISCO, June 16, 2023 — Telmai announced it has raised $5.5 million in oversubscribed ...
The Platform provides full-stack, full-fidelity observability across every layer of the digital enterprise, and the architecture includes: the patented Riverbed Data Store, designed to ...
CAMPBELL, Calif., March 15, 2023 — Acceldata, a market leader in data observability, today announced significant enhancements to its data reliability solution, including no-code/low-code options, ...
Businesses today often struggle to manage their data, let alone get the most value out of their data assets. As part of CRN’s Stellar Startups for 2023, here are 13 big data technology startups ...
The need for a powerful observability platform has never been greater. The rise of cloud-native technologies, microservices architectures, and distributed systems has significantly amplified the ...
ROUND ROCK, Texas, May 12, 2025 /PRNewswire/ -- Actian, the data division of HCLSoftware, today launches Actian Data Observability, which leverages AI and machine learning for comprehensive data ...
definity emerges from stealth with $4.5M to transform data application observability - Yahoo Finance
CHICAGO, Aug. 14, 2024 /PRNewswire/ -- definity today announced the general availability of its pioneering Data Application Observability & Remediation platform for Spark data analytics ...
As part of platform modernization, organizations are migrating to cloud-based microservices architectures to maintain agility and scale operations. Based on CloudZero's research, the global cloud ...
The Platform provides full-stack, full-fidelity observability across every layer of the digital enterprise, and the architecture includes: the patented Riverbed Data Store, designed to ...
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