Data Observability Cloud

Comprehensive data observability for the enterprise

Gain comprehensive insights into your data stack to improve data and pipeline reliability,
compute performance, and spend efficiency.

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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, 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

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 click
Reusable SQL and user-defined functions (UDFs): Express domain centric reusable reliability checks in five
programming languages. Apply segmentation to understand reliability across dimensions
Broad 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.
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We invite you to learn more about our data observability solutions for Snowflake and Databricks.

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Burzin Engineer, Founder & Chief Reliability Officer, PhonePe

"Acceldata supports our hyper-growth and helps us manage one of the world’s largest instant payment systems. PhonePe’s biggest-ever data infrastructure initiative would never have been possible without Acceldata."

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