Data Observability for Snowflake

Acceldata's data observability solution for Snowflake offers a cost-effective solution to align cost, value and performance in Snowflake environments. Acceldata delivers: Control - to ensure resources are used effectively to align cost to value Trust - to deliver high quality data on time, every time Built-in Best Practices - to analyze performance and configuration to get the most from Snowflake

Shift left to eliminate data reliability issues sooner

Shift left, to files and streams: Run reliability analysis before data hits the Consumption zone–in the Raw Landing zone & Enriched zone to avoid wasting costly credits and bad decisions due to bad data. Data reliability, powered by Spark: Fully inspect, and identify issues at petabyte scale, with the power of open-source Spark. Cross-data-source reconciliation: Run reliability checks that join disparate streams, databases, and files, to ensure correctness in migrations and complex pipelines.

Get multi-layer operational insights to solve data problems quickly

1) Know why, not just when: Debug data delays at their root by correlating data and compute spikes 2) Discover the true cost of bad data: Pinpoint the money wasted computing on unreliable data 3) Optimize complete & complex data pipelines: Drag-and-drop or code-based, single platform or polyglot–diagnose data pipeline failures in one place, at all layers of the stack

Operational control center to treat data like the mission-critical product it is

1) Built by data experts for data teams: Tailored alerts, audits, and reports for each of today’s leading cloud data platforms give your data team superpowers 2) Accurate spend intelligence: Even as platforms and pricing evolve, predict costs and control usage to maximize ROI 3) Single pane of glass: Budget and monitor all your cloud data platforms in one view