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.
Acceldata ADOC maps every data flow — from ingestion to dashboard — so your team fixes problems in minutes, not days.



Your team has a catalog, a quality tool, a pipeline monitor, and a lineage viewer. When something breaks, they still open four tabs and correlate manually.
Lineage documentation falls out of date the moment a pipeline changes — and no one has time to update it.
Incident triage takes days because lineage, quality, and alerts live in completely different tools.
No single, authoritative record means compliance teams assemble lineage manually from three different tools before every audit.
ADOC discovers and maps every step in your data pipeline automatically — and keeps it current. Change a dbt model and ADOC immediately shows which downstream Power BI reports are at risk.

One graph. Lineage, freshness, and quality in the same place. No tool-switching during an outage.

ADOC doesn't wait for someone to notice a problem. The moment a threshold is crossed, the right data owner is notified — via Slack or email, before a CFO opens a dashboard with stale revenue data.
ADOC runs in the background without touching your existing pipelines. Each run processes only net-new data — so large Snowflake catalogs, hundreds of dbt models, and active Power BI workspaces stay fast.
Pipeline disruption
Rows processed across fact and dimension tables in a single benchmark run.
DBT models supported
Peak processing throughput at maximum load, with linear scalability as nodes are added.
Incremental processing
Faster than standard validation tools. 1 TB tables profiled in under 3 minutes.
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