Comprehensive data observability for the enterprise
Gain comprehensive insights into your data stack to improve data and pipeline reliability,
compute performance, and spend efficiency.
Data observability for data at rest, data in motion & data for consumption
Acceldata empowers data teams with deep insights into compute, spend,
data reliability, pipelines, and users.
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 and Enriched zone to avoid wasting costly credits and bad decisions due to bad data
Data reliability at scale: Fully inspect, analyze, and identify data issues at petabyte scale and across complex, diverse architectures
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
Know why, not just when: Debug data delays at their root by correlating data and compute spikes
Discover the true cost of bad data: Pinpoint the money wasted computing on unreliable data
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
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
Accurate spend intelligence: Even as platforms and pricing evolve, predict costs and control usage to maximize ROI
Single pane of glass: Budget and monitor all your cloud data platforms in one view
Complete data coverage with flexible automation
Fully-automated reliability checks: Immediately know about missing, late, or erroneous data on thousands of tables.
Add advanced data drift alerting with one clickReusable SQL and user-defined functions (UDFs): Express domain centric reusable reliability checks in five
programming languages. Apply segmentation to understand reliability across dimensionsBroad data source coverage: From modern cloud
data platforms to traditional databases to complex files–apply your enterprise data reliability standards across
your company
Enterprise data observability for your modern data stack
Acceledata’s Data Observability Cloud works across diverse technologies and environments. For Snowflake and Databricks customers, we help you maximize your return on investment by delivering insight into performance, data quality, cost, and much more.
We invite you to learn more about our data observability solutions for Snowflake and Databricks.
Related Resources
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data observability journey.