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SNOWFLAKE PLATFORM COMPATIBILITY
Making your Snowflake Data Platform Better:
New Capabilities. Extended Reach. Amplified ROl.
Keep what you love about Snowflake—add e6data where it matters. Save $1.5M–$10M (60% TCO), get 10× more queries, unlock real-time capabilities in Snowflake lakehouse, extend governance to multi-region & cloud, hybrid—all SQL & Iceberg compatible.
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Single compute engine handling all SQL and AI workloads
Snowflake’s all-in-one engine makes it simple to ingest, transform, and query data from a single platform. Yet when workloads surge, users demand faster turnaround times, stricter SLAs, higher concurrency, and lower costs—needs a single cluster can’t always meet without extra operational overhead.
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e6data’s distributed k8s-native engine — built on atomic architecture
Keep what you love about Snowflake—add e6data’s engine into bottleneck workloads. Each workload (ingest, ETL, query, AI) —scale instantly, save $1.5M-10M (≤60 % TCO), run 10× more queries, get real-time streaming, extend catalog & governance securely to multi-cloud—no data movement or SQL rewrites.
USE CASES
Query · ETL · Real-Time Ingest
Add e6data to solve pressing pain points while staying on your Snowflake platform—no migration, no query changes, no governance changes.
Dashboards that scale up to 1000 QPS
Power real-time dashboards with sub-2-second response times at high concurrency with consistent SLAs.
Semantic search using SQL in Snowflake
Run semantic search on unstructured data using built-in cosine similarity in SQL. No vector DBs, no retrieval pipelines.
Multi-region, Multi-cloud, Hybrid made easy
The industry’s only Affinity and Locality-Aware Computing: 10x faster latency, 99% lower egress, 60% lower TCO.
Query Apache Iceberg tables natively
Query Iceberg on your Snowflake warehouse using our native-Iceberg support, extended across all table formats.
Stream events data from Kafka directly to Iceberg tables in Snowflake
Use your own S3, Iceberg, and catalog to ingest events data via e6data and query them with sub-minute freshness in your Snowflake platform.
Performance at production scale: run e6data in Snowflake platform
Benchmarks
Up to 10x faster querying, sub-second p99 latencies
Estimate your monthly cost
Up to 60% lower costs, granular, per vCPU scaling
Deploy across multi-cloud, multi-region, and on-prem
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FAQs
How does e6data reduce Snowflake compute costs without slowing queries?
e6data is powered by the industry’s only atomic architecture. Rather than scaling in step jumps (L x 1 -> L x 2), e6data scales atomically, by as little as 1 vCPU. In production with widely varying loads, this translates to > 60% TCO savings.
Do I have to move out of Snowflake?
No, we fit right into your existing data architecture across cloud, on-prem, catalog, governance, table formats, BI tools, and more.
Does e6data speed up Iceberg on Snowflake?
Yes, depending on your workload, you can see anywhere up to 10x faster speeds through our native and advanced Iceberg support.
Snowflake supports Iceberg. But how do you get data there in real time?
Our real-time streaming ingest streams Kafka or SDK data straight into Iceberg—no Flink. Landing within 60 seconds and auto-registering each snapshot for instant querying.
How long does it take to deploy e6data alongside Snowflake?
Sign up the form and get your instance started. You can deploy it to any cloud, region, deployment model, without copying or migrating any data from Snowflake.
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Available at
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