10X Faster Analytics
at 50% Lower Compute Costs

No Engineering Effort

No Data Movement

No Migration Needed

Pay for vCPUs you use

Run anywhere
Current engine in use
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Trusted by Data Teams at
‍“We achieved 1,000 QPS concurrencies with p95 SLAs of < 2s on near real-time data & complex queries. Other industry leaders couldn’t meet this even at a far higher TCO.”
Chief Operating Officer
“We’ve been impressed with e6data’s performance, concurrency, and granular scalability on our resource-intensive workloads.”

Head of Platform Engineering
What Contributes to Your High Compute Costs bills?

Uneconomical
scaling & sizing

Node-level scaling that leads to idle or over-provisioned clusters

Egress fees


Ingest, ETL, query are distributed across geographies and governance

Inefficient data processing

Data Movements for ingestion or duplications for execution

Cloud infra costs


Orchestration, operations, and talent all add up with infra lock-in

Vendor-specific costs

Credit-based,
non-transparent pricing
and markups

Uneconomical
scaling & sizing

Node-level scaling that leads to idle or over-provisioned clusters

Egress fees


Ingest, ETL, query are distributed across geographies and governance

Inefficient data processing

Data Movements for ingestion or duplications for execution

Cloud infra costs


Orchestration, operations, and talent all add up with infra lock-in

Vendor-specific costs

Credit-based,
non-transparent pricing
and markups

Uneconomical
scaling & sizing

Node-level scaling that leads to idle or over-provisioned clusters

Egress fees


Ingest, ETL, query are distributed across geographies and governance

Inefficient data processing

Data Movements for ingestion or duplications for execution

Cloud infra costs


Orchestration, operations, and talent all add up with infra lock-in

Vendor-specific costs

Credit-based,
non-transparent pricing
and markups

Uneconomical
scaling & sizing

Node-level scaling that leads to idle or over-provisioned clusters

Egress fees


Ingest, ETL, query are distributed across geographies and governance

Inefficient data processing

Data Movements for ingestion or duplications for execution

Cloud infra costs


Orchestration, operations, and talent all add up with infra lock-in

Vendor-specific costs

Credit-based,
non-transparent pricing
and markups

Move Beyond Stopgap Solutions & Save 50% on Compute Costs

Without e6data
Overprovisioning or idle clusters
Egress Fees
Storage and Indexing fees for ETL
Cloud Infrastructure Costs
Zero Guardrails
With e6data
Elastic Clusters with granular scaling
Near-Zero Egress Fees
Live Kafka streams, No Flink
Location-Aware Execution; Reduced Orchestration
Guardrails to Limit Bad Queries

Cut Your Costs Across Query, ETL, and Ingest

Core Lakehouse Engine
Real-Time Streaming Ingest
Hybrid Lakehouse Engine

Atomic Scaling

No idle costs. Ever

In-Place Execution

Good-bye to latency or storage overhead

Converged Compute

One engine for SQL+AI.

Policy-Informed Guardrails

Block bad jobs early

Cut Down Infra-Costs

No sync or format conversions. Fewer pipelines

No ETL Jobs

Cut duplicate streaming or transform

ACID & Exactly-Once Delivery

Avoid corrective compute

No Storage & Indexing

Write once. Query directly on lakehouse

No Always-on Streaming

Compute spins only when needed

Single Copy of data

Parallel computing doesn't need parallel copies

Minimal Orchestration

Zero schedulers or retries

Uniform Governance

Avoid costly penalties

Near-Zero Egress Fees

No cross-region or cross-cloud data movement

Lower Storage & Replication Overhead

No data duplication

Eliminate Wasted Compute

Location-aware compute requires minimal data transfers

The Use-Case Basis Impact on Your Data Spend

Real-Time Ingest & Streaming Data

Ingest events once and query them instantly. No stream processors, no duplicate pipelines.

Batch ETL & Data Transformations

Run heavy transforms directly on your lake—no extra clusters, no staging copies, no idle compute.

High-Concurrency SQL Workloads

Handle sudden query spikes by scaling only what’s needed, without paying for peak capacity 24×7

Observability Logs

Search and analyze logs without data movement or infrastructure sprawl.

Global & Multi-Region Analytics

Analyze data where it lives and avoid costly replication and cloud egress fees.

Ad-hoc Analytics

Run large one-off queries without increasing your regular cloud costs.

AI / ML Ready

Use fresh data directly from the lake for models and analysis without building separate serving layers.

Security Analytics

Run security analytics without duplicating sensitive data or scaling up compute

Vector Search

Search embeddings without without new infrastructure or data copies.

Check the difference before you commit

Load Iframe

No Migration Needed

Runs with your data stack

Supports all lakehouses, table formats, catalogs, BI tools, and RAG apps—no custom code needed.
View All Integrations
Lakehouse
Queries directly with zero data movement.
Table Format
Highly performant on all table formats.
Catalog
Plugs into any catalog; no rules rewrites.
Application
Connects to any BI, RAG app, chatbot tool
Governance
Governance ready: plug into your tools.

FAQs

Can I run e6data alongside Snowflake or Databricks?
We integrate with your existing data architecture—whether you’re using Amazon Sagemaker, Databricks, Snowflake, Trino, Athena, or any other engine—alongside your chosen catalog, governance framework, table format, and BI tools. You can deploy us anywhere: single or multi-cloud, multi-region, on-premises, or in a hybrid environment.
Which workloads does the e6data Query Engine accelerate?
The engine is purpose-built for high-concurrency SQL and AI workloads in a lakehouse, covering interactive dashboards, ad-hoc queries, packaged and scheduled analytics—without data movement or query rewrites.
How does e6data minimise cross-region egress costs?
Cross-region egress fees are charges for data leaving one cloud region to another or to on-prem. e6data minimises these fees primarily through a zero-data movement and location-aware compute architecture.
What security and compliance features are included?
Enterprise-grade controls include row- and column-level masking, IAM integration, audit-ready logs, and readiness for SOC 2, ISO, HIPAA, and GDPR, all delivered with no slowdown.

$1M

savings per quarter

Run anywhere

Public cloud, private cloud, hybrid

Agent-native

by design

Get Started for Free