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xLake Platform

Regain Execution Control. Elastic Compute. Any Substrate.

One control plane. Any data plane. Your choice of compute engine. Run Spark, Trino, Ray, and vLLM on any infrastructure with complete separation of concerns.

TRUSTED BY ENTERPRISE DATA TEAMS WORLDWIDE
Why xLake?

Yesterday's platforms were built for the cloud era. xLake was built for what's next.

Deployment
Data Ownership
Cost
AI Readiness
Legacy SaaS
Public Cloud Only
Locked to vendor's cloud regions. Limited control over infrastructure.
Vendor-Controlled
Data stored on vendor infrastructure. Proprietary formats create lock-in.
Forever Premium
Pay the SaaS tax forever. Costs explode at petabyte scale.
Cloud Era Architecture
Retrofitted for AI. Limited GPU flexibility. Cloud-only inference.
xLake Platform
Run Anywhere
On-prem, private cloud, public cloud, edge, or hybrid. Your infrastructure, your choice.
Customer-Controlled
Data stays in your trust perimeter. No vendor lock-in. Open formats always.
2-5x Savings
Optimize your cloud/on-prem mix. Keep discounts. Eliminate SaaS premiums.
Built for AI Era
Native GPU support, model management, and AI observability across any substrate.
xLake Architecture

One Control Plane. Any Data Plane.

Kubernetes-native orchestration across all environments. Open standards, zero lock-in.

Separated Control & Data Planes

Enterprise-grade architecture that decouples management from execution. Scale independently, deploy anywhere.
Data Plane
Kubernetes + GPU Orchestration
Deploy anywhere, your data stays where you need it
Public Cloud: AWS, Azure, GCP
Private Cloud: VMware, OpenStack
Sovereign Cloud: Air-gapped, national clouds
Edge: On-premise, regional DCs
Control plane
Acceldata Managed
Centralized management & orchestration
Unified Catalog: Single source of truth for all data assets
Access & Security: Centralized RBAC, encryption, audit
Workload Management: Resource allocation, scheduling, quotas
Observability: Metrics, logs, traces across all planes

Supports All Your Compute Needs

Run the right engine for each workload. All managed through a single control plane, all on Kubernetes-native infrastructure.

Apache Spark
Distributed batch & streaming processing
ETL, ML pipelines, large-scale analytics
Trino
High-performance federated SQL
Ad-hoc queries, cross-source analytics
Ray
Scalable ML & AI workloads
Distributed training, hyperparameter tuning
vLLM
High-throughput LLM inference
GenAI applications, model serving
Apache Kafka
Distributed event streaming platform
Real-time data pipelines, event-driven apps
Apache NiFi
Automated data flow orchestration
Data ingestion, routing, transformation

Custom Applications

Bring your own workloads. Deploy any containerized application alongside managed engines with the same governance and observability.

Custom Applications
Bring your own containerized workloads
Proprietary algorithms, legacy migrations
Python / R Scripts
Run analytics & data science scripts at scale
Statistical analysis, custom ML models
Java / Scala Services
Deploy JVM-based microservices
Business logic, data APIs, integrations
Container Workloads
Any Docker-compatible application
Third-party tools, custom pipelines
The Clarity Advantage

Life Before & After Clarity

See what changes when you unify your entire data ecosystem.

Visibility
Metadata
Hybrid
ETL
Costs
Before
Fragmented across 50+ tools
Disconnected from execution
Two separate stacks & teams
Manual, brittle pipelines
Unpredictable, vendor lock-in
With Clarity
Unified real-time view
Live, executable metadata
One platform, any substrate
AI-generated, self-healing
Transparent, 50-70% savings
No Vendor Lock-in
Open standards. Portable workloads. Your data, your infrastructure.
Data Sovereignty
Keep sensitive data on-prem or in sovereign clouds while maintaining unified control.
Right-Sized Compute
Match workloads to optimal engines. Eliminate over-provisioning.

Ready to get started

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