HTTP 200 verified twice
Finding your next stop…
Loading the latest directory information.
Loading the latest directory information.
Start here for the decision-making essentials: what Acceldata does, who it is for, how it is accessed, and the first-party sources behind this profile.
See official pricing
Acceldata provides the xLake Autonomous Data & AI platform, a vendor-neutral, open-source-based solution offering inline data observability, intelligent agents, and pipeline automation across hybrid and multi-cloud environments. It serves heavily regulated enterprises with SOC 2 Type 2 and ISO/IEC 27001 compliance.
Read-only public captures of Acceldata’s homepage. Screenshots are dated, never live embeds, and open full-screen.
Short answers to the questions buyers and builders commonly ask about Acceldata. Each answer cites the shared ledger below, where every source is listed once.
Agentic, autonomous actions on data — the platform takes over when something goes wrong, s · Cuts infrastructure TCO by up to 45% · Intelligent agents that build, orchestrate, and run data pipelines to automate engineering · Build, deploy, and manage intelligent agents to automate and optimize data operations
The moment something goes wrong, the platform takes over - surfacing what broke, fixing what it can, and turning every incident into prevention for the next one.
Large enterprises — research cited covers C-level executives at Fortune 1000 and Global 20 · Enterprise customers across biopharma, banking, telecom, financial services, and payment p
A May 2026 research by GLG on behalf of Acceldata covering C-level executives at Fortune 1000 and Global 2000 companies with revenue greater than $5 billion
Cloud migration initiatives that span on-premises and cloud data environments · End-to-end data observability across cloud and on-premises environments · Snowflake cost and usage monitoring via ADOC Snowflake Compute, detecting anomalies and wa · Cloud cost observability with warehouse right-sizing, query analysis, and cost overage ide
Yes, we can observe data that's on premises and in the cloud. This makes us ideally suited for cloud migration initiatives.
65+ integrations including Databricks, Snowflake, Kafka · OpenLineage integration for lineage visibility across Redshift, Glue Catalog, DBFS, Pub/Su · ODP bundles Apache Gluten and Velox for vectorized Spark execution, running Spark workload
Explore 65+ Acceldata integrations with Databricks, Snowflake, Kafka and more
Hybrid by default — federated compute runs where data lives across clouds, lakehouse, and · Supports sovereign deployment and hybrid/cloud deployments to meet data residency and sove · Hybrid and multi-cloud (including on-premises) environments without vendor lock-in · Deployed on AWS across multiple availability zones to eliminate single points of failure
Federated compute runs where data lives. Across clouds and on-premises. Customer-controlled unified control plane.
Fine-grained RBAC; each feature is accessible only by users with the required permissions, · Data is observed inline so it does not leave the customer's premises · SOC 2 compliant and can provide SOC 2 Type 2 report on request · ISO/IEC 27001 certified
Fine grained RBAC, each feature of ADOC can be accessed by users only if they have the required permissions. RBAC also extends to applicable API operations.
This profile connects the jobs Acceldata is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.
Each fact points to a recorded source, making it easy to distinguish verified product information from claims that need checking.
HTTP 200 verified twice
Autonomous Data & AI Platform for Hybrid Clouds | Acceldata
xLake Autonomous Data & AI platform unifies all Acceldata products · Hybrid-by-default with federated compute across clouds and on-premises · Customer-controlled unified control plane
xLake Autonomous Data & AI platform — a unified platform that hosts every Acceldata product
Hybrid by default — federated compute runs where data lives across clouds, lakehouse, and on-premises, with a customer-controlled unified control plane
Supports sovereign deployment and hybrid/cloud deployments to meet data residency and sovereignty requirements
Agentic, autonomous actions on data — the platform takes over when something goes wrong, surfacing what broke, fixing what it can, and converting incidents into prevention
Fine-grained RBAC; each feature is accessible only by users with the required permissions, and RBAC extends to applicable API operations
Data is observed inline so it does not leave the customer's premises
Observes structured, unstructured, and streaming datasets
Cloud migration initiatives that span on-premises and cloud data environments
Platform is built on an open-source foundation
A concise view of the jobs, capabilities and integrations described in the recorded product sources.
Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.
A concise history of software releases and material product changes. Events appear only when a dated source supports what changed.
This profile is being checked for dated releases and material product changes. Nothing appears here until the exact date and event can be verified from a recorded source.
Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.
Acceldata — self-described market leader in agentic data management and provider of the xLake Autonomous Data & AI platform
Campbell, California, USA
Large enterprises — research cited covers C-level executives at Fortune 1000 and Global 2000 companies with revenue greater than $5 billion
xLake — Vendor-Neutral Data Platform for Any Cloud
Hybrid and multi-cloud (including on-premises) environments without vendor lock-in
Cuts infrastructure TCO by up to 45%
65+ integrations including Databricks, Snowflake, Kafka
OpenLineage integration for lineage visibility across Redshift, Glue Catalog, DBFS, Pub/Sub, and Iceberg datasets
Intelligent agents that build, orchestrate, and run data pipelines to automate engineering workflows
Build, deploy, and manage intelligent agents to automate and optimize data operations
End-to-end data observability across cloud and on-premises environments
Snowflake cost and usage monitoring via ADOC Snowflake Compute, detecting anomalies and warehouse spillages
Cloud cost observability with warehouse right-sizing, query analysis, and cost overage identification
Enterprise customers across biopharma, banking, telecom, financial services, and payment processing
Data observability and pipeline orchestration platform
Data observability and data reliability platform
Build, deploy, and manage intelligent agents to automate and optimize data operations
SOC 2 compliant and can provide SOC 2 Type 2 report on request
ISO/IEC 27001 certified
BYOK encryption and Secret Manager protect data at rest and in transit
Multi-factor authentication with Single Sign-On (SSO) supported
Role-Based Access Control (RBAC) available
Bug Bounty Program invites security researchers to report vulnerabilities
Bi-annual penetration testing of the environment
Deployed on AWS across multiple availability zones to eliminate single points of failure
DDoS protection via AWS CloudFront and WAF
Reduce data infrastructure TCO by 35-45% and storage costs by 65% via xLake/xRoute
Unified data catalog & governance layer (xLake) across Spark, Trino, Jupyter, and Airflow with real-time audit trails