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ClickHouse ingestion.
Built and maintained for you.
Purpose-built for teams running ClickHouse at scale.
Production-ready, compliant, and deployed to your requirements.
ISO 27001 certified
SOC 2 Type II
Runs on-prem or in your cloud
Built by developers from
and trusted by engineering teams running ClickHouse at scale.
Who GlassFlow Enterprise is for
Most enterprise ClickHouse teams
hit the same wall.
Spending engineering cycles
keeping CDC pipelines alive
Your team set up Debezium 18 months ago. Since then, three engineers have touched it, schema changes have broken it twice, and nobody's confident the data in ClickHouse is actually correct. Every quarter there's a "fix the pipeline" sprint.
GlassFlow fixes:
Built-in CDC for PostgreSQL, MySQL, and MongoDB.
Schema changes handled automatically.
No custom consumer code to maintain.
Historical data migration has been
"in progress" for months
Getting three years of PostgreSQL data into ClickHouse before your analytics are useful sounds straightforward.
In practice, your live CDC keeps conflicting with the backfill, older rows overwrite newer state, and you can't trust the results until it's done.
GlassFlow fixes:
Separates backfill and live CDC,
Tracks timestamps and primary keys,
Ensures data arrives in the correct order even when both run simultaneously.
Data ingestion works at 10GB/day.
At 1TB/day, it falls apart.
What worked in staging doesn't hold up in production. You're hitting ClickHouse with too many small inserts, your ReplacingMergeTree is producing inconsistent results, and your team is spending more time on infra than on the analytics that actually matter.
GlassFlow fixes:
500K+ records/sec throughput.
Linear horizontal scaling.
Deduplication before ClickHouse so you're not relying on expensive FINAL queries.
GlassFlow Enterprise Capabilities
Built for production.
Built for your requirements.
Run any transformation, stateful or stateless, simple or complex, battle-tested at enterprise scale.
Fully flexible transformations
Run stateful and stateless transformations with long time windows.
Run in production at scale
GlassFlow is built to run on TBs of production data every day.
The performance metrics prove it.
510
K RPS
With a single pipeline (44 TBs daily)
10
replicas
Linear Scaling - with 51k rps/replica
700
ms
Latency for 80% of transformations
$
2.8
Resource costs per TB
(c4d-standard-16)
ClickHouse Ingestion at Scale
Start simple.
Scale when you need it.
10x growth of your data? Nothing to worry about. Start with GBs and end with TBs of data ingested into ClickHouse per day.
GlassFlow is built to support you through your entire ClickHouse
growth journey.
Horizontal scaling
High throughput ingestion
Low latency
Proven Impact:
Less Load, Less Effort, More Speed
40
%
less compute load
inside ClickHouse
60
%
less time managing your
ingestion pipeline
80
%
fewer ad-hoc data fix requests
from analysts
What happens next?
You only commit
when you know it works.
Step 1
Fill in the form below and tell us your data sources, current ingestion approach, and biggest pain point. We read every submission.
Step 2
A 30-minute engineering call, no sales deck. We review your setup and tell you honestly whether GlassFlow is a fit and how we'd deploy it.
Step 3
We run GlassFlow against your actual data sources. You see real performance numbers before signing.
Step 4
Your dedicated implementation engineer onboards GlassFlow to your infrastructure with full handover documentation.
Tell us about your ClickHouse setup.
We'll review it and get back to you with next steps.
GlassFlow fixes:
We read your submission, not an automated sequence
An engineer reviews your setup
You hear back in 2 days with a proposed next step
You'll also get:
Honest assessment of whether GlassFlow fits your use case
A free architecture review if we proceed to POC
Access to our security docs and compliance packages
