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Lakehouse Compute Engine: Query / ETL / Real-time Ingest
BUILT FOR THE AGENTIC ERA
Engineered for {company name}: Millions in compute savings on BI, Reporting. No migration.
Agentic BI and Reporting. Spiky, High concurrency Dashboards. Complex SQL Reporting. Trusted by F500 brands for petabyte‑scale analytics, AI and Real time data products.
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10x faster
on production workloads
$1M-$10M
3 year cost savings per use case
No migration
from your existing data platform
w/o e6data
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w/ e6data
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w/o e6data
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w/o e6data
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Benchmarks
Vs. legacy lakehouse engine
3.09x
Faster
TPC-DS
Delta
8 QPS
Vs. legacy QUERY engine
11.02x
Faster
TPC-DS
Fabric
30 cores
Query type: comparison
1.58x
Faster
TPC-DS
Delta
AWS
XS
Vs. legacy lakehouse engine
67.64%
Lower cost
TPC-DS
Delta
8QPS
Vs. legacy query engine
7.04x
Faster
TPC-DS
Iceberg
XS
Query type: logical
1.80x
Faster
TPC-DS
Delta
AWS
XS
Vs. legacy lakehouse engine
3.08x
Lower p99 latency
TPC-DS
Delta
8 QPS
e6data + Fabric
60.05%
Lower cost
TPC-DS
Fabric
30 cores
High Concurrency
1.20x
Faster
TPC-DS
Delta
AWS
XS
Vs. legacy lakehouse engine
3.09x
Faster
TPC-DS
Delta
8 QPS
Vs. legacy QUERY engine
11.02x
Faster
TPC-DS
Fabric
30 cores
Query type: comparison
1.58x
Faster
TPC-DS
Delta
AWS
XS
Vs. legacy lakehouse engine
67.64%
Lower cost
TPC-DS
Delta
8QPS
Vs. legacy query engine
7.04x
Faster
TPC-DS
Iceberg
XS
Query type: logical
1.80x
Faster
TPC-DS
Delta
AWS
XS
Vs. legacy lakehouse engine
3.08x
Lower p99 latency
TPC-DS
Delta
8 QPS
e6data + Fabric
60.05%
Lower cost
TPC-DS
Fabric
30 cores
High Concurrency
1.20x
Faster
TPC-DS
Delta
AWS
XS
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Trusted by Data Teams at
“We’ve been impressed with e6data’s performance, concurrency, and granular scalability on our resource-intensive workloads.”
Head of Platform Engineering
“We used e6data for one of features in ad intelligence with large volumes of data, and had a very smooth run. Our p99 latencies were met, and it even costed us half of other engines.”
Chief Operating Officer
Technology
How e6data runs 10x faster queries at 60% lower cost for Condé Nast?
Because architecture matters. No more spinning up clusters or blindly throwing compute at every workload.
w/o e6data
Legacy Centralized, VM-centric architectures
Depend on a single coordinator node — creating bottlenecks, single points of failure, and expensive step-jump scaling. Even slight increases in workloads trigger large cost spikes and SLA misses.
w/ e6data
e6data's Decentralized, k8s native architecture
Scales granularly with stateless services, with scaling granularity down to 1 vCPU increments. Result: 10x faster queries, consistently met SLAs, and a predictable 60% lower TCO at petabyte-scale.
Comparison
Atomic vs Step-Jump Scaling: Cost & QPS under production load
Line graph comparing legacy step-jump scaling with e6data’s atomic scaling across fluctuating query loads; cost labels show steep jumps for legacy ($25 → $100) versus granular increments for e6data ($15 → $74).
Developer Experience
Query everything, scale and secure fast on your own stack
Run SQL + AI workloads that auto scale, block bad jobs, run vector search, and stay secure with row/column masking—no tuning, no trust issues.
Runs with your data stack
Supports all lakehouses, table formats, catalogs, BI tools, and RAG apps—no custom code needed.
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Lakehouse
Queries directly with zero data movement.
Table Format
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Highly performant on all table formats.
Catalog
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Plugs into any catalog; no rules rewrites.
Application
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Connects to any BI, RAG app, chatbot tool.
Governance
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Governance ready: plug into your tools.
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Available at
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