Data Lakehouse Solution for
Modern Analytics & AI

Build and scale a modern data lakehouse with high-performance compute across cloud, on-prem, and multi-cloud environments using open architectures, elastic scaling, and predictable performance without vendor lock-in.
Run Anywhere

10x

faster

50%

lower costs

zero

migration

A Flexible, Enterprise-Ready
Data Lakehouse Solution

Data lakehouse solutions combine the flexibility of data lakes with the performance and reliability of data warehouses, enabling analytics, BI, and AI on a single data foundation.

e6data provides a lakehouse compute platform that integrates seamlessly with existing data lakehouse architectures, enabling organizations to run analytical and interactive workloads efficiently across environments.

Why Organizations Move to a Data Lakehouse Architecture

Traditional data platforms struggle with scale, cost, and flexibility.

Fragmented data stacks across   warehouses, lakes, and AI systems

Silos force teams to duplicate data, manage multiple engines, and slow down analytics and AI workflows.

High costs and vendor lock-in with proprietary platforms

Tightly coupled storage and compute drive unpredictable costs and limit architectural freedom.

Limited flexibility across on-prem, cloud, and hybrid environments

Rigid platforms make it difficult to run consistent analytics across hybrid and multi-cloud setups.

Inconsistent performance across analytics and AI workloads

Mixed workloads compete for resources, causing latency spikes and unreliable query performance.

A Flexible, Enterprise-Ready
Data Lakehouse Solution

Enable a modern data lakehouse architecture using open standards and cloud-native compute designed for scale, performance, and operational flexibility.


With this approach, teams can:

  • Adopt a lakehouse architecture without re-platforming or moving data

  • Run analytics and AI workloads on a shared, open data foundation

  • Scale lakehouse compute independently across cloud, on-prem, and hybrid environments

Built for Open Lakehouse Architecture

Hybrid Lakehouse: deploy on any cloud, across multiple regions, or on-premises
Run your workloads where the data lives. For enterprises facing compliance issues across geographies, high egress costs, IAM friction, and vendor lock-in challenges. Compatible with all data platforms.

Ingest, ETL, Query on a single governance plane

Compute in-place eliminating replication and egress costs. Using affinity-aware execution, while accommodating any governance framework, enforcing ACL consistency, enterprise-grade security, all within a single fully managed cluster.

No more egress fee across regions

Compute in-place without replicating data across regions and clouds, eliminating hefty egress fees by up to 99%.

Affinity-aware data computing

Bind workers, processes, and tasks to the resources “closest” to your data— on a single cluster and meet stricter SLAs.

Zero ACL drift via a centralized policy repo

Every table inherits consistent permissions and stays audit-ready by design. “Live ACL state = Policy ACL state”, always.

Enterprise-grade compliances

Row/column-level control, IAM integration, and audit-ready logs. SOC 2, ISO, HIPAA, and GDPR —secure by design, with no slowdown.

Real-time analytics with sub-minute latencies, wherever your data lives

Power use cases like alerting dashboard, fraud detection by combining streaming ingestion, incremental processing, and fast SQL queries on unified storage, be it on cloud, on-premise or hybrid.

Deploy across multi-cloud, multi-region, and on-prem

Head of Platform Engineering
B2B observability SaaS
“We’ve been looking to move our logs to S3 since the costs became super high. With e6data, it became possible faster as our p95 & p99 latencies were maintained. All our logs now ingest & query in S3. ”

FAQs

What is a data lakehouse solution, and how is it different from a data warehouse?
A data lakehouse combines a data lake’s low-cost object storage (open formats like Parquet/Iceberg) with data-warehouse capabilities such as SQL analytics, governance, and performance. Warehouses typically store data in proprietary engines and copy data in. Lakehouses query data in place with shared storage and open standards.
How does e6data fit into a modern lakehouse architecture?
e6data acts as the high-performance SQL query and serving layer on top of your lakehouse storage. It accelerates interactive analytics and BI directly on open table formats (e.g., Iceberg/Parquet), integrates with your existing catalog/governance, and reduces the need for data copies or heavy ETL just to achieve fast queries.
Can e6data support on-prem, hybrid, and multi-cloud lakehouse deployments?
Yes, e6data is designed to run where your data lives: on-prem, in a single cloud, or across hybrid/multi-cloud environments. It provides a consistent SQL experience and performance layer across deployments, helping teams avoid re-platforming while supporting enterprise requirements for residency, security, and operational control.
How does e6data compare to Databricks for data lakehouse workloads?
Databricks is a broad platform (data engineering, ML, governance, and notebooks) centered on Spark and its runtime. e6data is focused on fast, cost-efficient SQL analytics on lakehouse data for BI and interactive workloads. Many teams use Databricks for pipelines and e6data for serving/queries.
Who should evaluate e6data as a data lakehouse solution?
Evaluate e6data if you have a lakehouse (or are building one) and need low-latency SQL analytics without copying data into a separate warehouse. It’s ideal for BI teams, data platform owners, and engineering orgs seeking faster dashboards, more concurrency, and better cost/performance on open storage formats.

“We achieved 1,000 QPS concurrencies with p95 SLAs of < 2s onnear real-time data & complex queries. Other industry leaders couldn’t meet this even at a far higher TCO.”

Chief Operating Officer

15x

faster speed

50%

lower costs

1000+

queries/sec

Current engine in use
Thanks for your query. We will share the login details on email shortly!
Oops! Something went wrong while submitting the form.
Available at
BlogEventsDocs
Terms and ConditionsPrivacy PolicyCookie Policy
© 2025 e6data Inc. All rights reserved.