Everything you need to build, govern, and scale data and AI workloads—one unified platform.
Monitor, detect, and resolve data and AI issues with end-to-end observability across pipelines.
Build, orchestrate, and run data pipelines with intelligent agents that automate the entire engineering workflow.
Query your lakehouse in-place with Velox-accelerated performance. 10x faster than traditional warehouses.
Distributed training, high-throughput inference, and GPU notebooks—everything you need for production AI.
Build, deploy, and manage intelligent agents to automate and optimize data operations.
An open-source data platform for Hadoop modernization, flexibility, and long-term control.
Browse solutions to help you solve the complex business challenges unique to your industry.
"PhonePe’s data infrastructure reliability initiative would never have been possible without Acceldata.”
Browse materials to help you access the tools, guides, and insights essential to your workflows.
How to assess AI data readiness across four stages.
Learn about our mission, leadership, and vision driving modern data operations forward.
How to assess AI data readiness across four stages.
Browse solutions to help you solve the complex business challenges unique to your industry.
"PhonePe’s data infrastructure reliability initiative would never have been possible without Acceldata.”
Browse materials to help you access the tools, guides, and insights essential to your workflows.
How to assess AI data readiness across four stages.
Learn about our mission, leadership, and vision driving modern data operations forward.
How to assess AI data readiness across four stages.
Everything you need to build, govern, and scale data and AI workloads—one unified platform.
Monitor, detect, and resolve data and AI issues with end-to-end observability across pipelines.
Build, deploy, and manage intelligent agents to automate and optimize data operations.
Build, orchestrate, and run data pipelines with intelligent agents that automate the entire engineering workflow.
Query your lakehouse in-place with Velox-accelerated performance. 10x faster than traditional warehouses.
Distributed training, high-throughput inference, and GPU notebooks—everything you need for production AI.
An open-source data platform for Hadoop modernization, flexibility, and long-term control.
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Monitor, detect, and resolve data issues with end-to-end observability across pipelines.
Monitor, detect, and resolve data issues with end-to-end observability across pipelines.
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AI-powered observability and optimization for Hadoop and big data environments.
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An open-source data platform for Hadoop modernization, flexibility, and long-term control.
Monitor every pipeline, enforce data quality at scale, and catch data issues before they reach production.


Six use cases by enterprise teams running ADM in production today.
Monitoring 1,000+ pipelines across hybrid and multi-cloud environments — Databricks, SnapLogic, on-prem — is fragmented by design. Failures go undetected until a downstream dashboard breaks. ADOC stitches cross-pipeline health into a single view with execution status, schema drift, dependency mapping, and business-process-level observability.

Applying 25 DQ policies across 500–600 pipelines — one asset at a time — creates unsustainable manual overhead. ADOC enables bulk policy deployment across entire domains via UI or upload template, with rule-level execution detail, SLA tracking, and continuous trust scoring — no scripting, no IT dependency.

SLA breaches reach your users before your team knows they exist. ADOC alerts at configurable thresholds — before the breach — routing to PagerDuty or ServiceNow with lineage, score, and severity attached. One grouped incident per asset. No alert storms.

Migrations from Hadoop, Teradata, or Oracle to Snowflake and Databricks are blind lifts — schema mismatches, row-count drops, and KPI drift go undetected until they hit production reporting. ADOC helps certify data at source, reconciles at destination, and validates transformation integrity end-to-end, with audit-ready discrepancy reports at every stage.

Snowflake credits and Databricks DBUs spiral without workload-level visibility — inefficient joins, over-provisioned warehouses, and runaway queries drain budgets silently. ADOC tracks cost lineage at warehouse, query, user, and role level — with AI circuit breakers that stop cost spikes before they hit the bill.

AI models degrade silently when upstream pipeline changes shift inputs — stale features, missing records, schema drift — with no alerting until model performance drops. ADOC monitors freshness, completeness, and schema stability of all model inputs and gates pipelines on DQ thresholds before data reaches training or inference.

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