Acceldata Launches Autonomous Data & AI Platform for Agentic AI Era. Learn More →

Explore the future of AI-Native Data Management at Autonomous 26 | May 19 --> Save your spot

Deploy xLake Anywhere — Cloud, Hybrid, or On-Prem

xLake runs where your data already lives — on GCP, AWS, Azure, Databricks, Snowflake, or on-prem. You keep full control of compute and data. Acceldata manages the control plane.

Schedule a Walkthrough

See How It Works

TRUSTED BY ENTERPRISE DATA TEAMS WORLDWIDE

Runs Natively on the Infrastructure You Already Manage

XDP deploys on Kubernetes. Wherever you run Kubernetes,

Helm-based installation.

No custom agents.

No proprietary networking.

Hours, not weeks.

How It Works

A pipeline or query is submitted through the XDP interface or API

The control plane schedules the workload and passes configuration to your compute plane

Spark executes inside your environment against your storage layer (S3, GCS, ADLS, on-prem object store)

Metrics, logs, & observability data are returned to the control plane for monitoring and governance

Results stay in your environment — nothing is routed through Acceldata infrastructure

Split-Plane Architecture

Separate control plane and compute plane — so Acceldata can manage platform operations without ever touching your data.

Control plane

Hosted and operated by Acceldata

Acceldata-managed

Upgrades & Health Monitoring

Platform ops handled automatically

Policy Enforcement

Governance applied consistently

Single Outbound HTTPS

No inbound ports required

HTTPS Only

Compute plane

Runs inside your VPC, subnet, or on-prem cluster

your environment

All Spark Workloads

Execute entirely on your infrastructure

Data Never Leaves

Your perimeter, always maintained

Full Workload Isolation

VPC, subnet, or on-prem cluster

Your Compute Stays in Your Environment

XDP runs Spark workloads inside your own VPC, subnet, or on-prem cluster. Data never leaves your perimeter. Acceldata manages the control plane — upgrades, health monitoring, platform operations.

Security: Data residency met by design, not exception.

Compliance: HIPAA, SOC 2, FedRAMP-adjacent architectures remain viable.

Engineering: No firefighting platform upgrades or control-plane dependencies.

Consistent Governance Everywhere You Deploy

What managed platforms hide — and what your engineers are burning hours trying to reconstruct manually.

Without xLake

Policy Drift
Different rules enforced inconsistently across environments

You have a question. The engineer has a queue. Decision made before the answer arrives.

Question Monday. Analyst's slide Thursday. Call already made — on stale data.

With xLake

One Policy Definition
‍Same security and governance rules enforced everywhere

Unified Observability
‍Single coherent view across every deployment target

Complete Audit Trail
‍Compliance team gets one report, not a patchwork

The Infrastructure Economics Are Significant

35–45%

reduction in infrastructure TCO from
elastic, workload-specific compute.

50–65%

storage cost savings by replacing HDFS triple replication with object storage.

15–25%

year-over-year compute savings through right-sized clusters per workload — ETL, SQL, ML, and AI each get optimized clusters instead of one oversized fleet

Built for Engineers

Multi-environment deployment isn't on the roadmap. It's how xLake was built.
Every architectural decision was made with the engineer who has to deploy it, maintain it, and defend it in a post-incident review.