Private. Secure. Insightful.

Your data, the moment it happens

We are the database engineers behind fast, reliable data platforms. Real-time pipelines and modern infrastructure on ClickHouse, MongoDB, Couchbase, StarRocks, and Kafka, built to keep pace with your business.

Get started See our consulting

What we do

Real-time data, minus the complexity

Fast, reliable data systems, without the overnight batch jobs or the operational drag.

Real-time pipelines

Change data capture streams every write into ClickHouse as it happens. No overnight batch, no lag, just fresh data your team can act on.

Database consulting

Deep expertise in ClickHouse, MongoDB, and Couchbase. Architecture, performance tuning, high availability, and migrations that stay boring, in the best way.

Private DBaaS

Managed-database convenience on your own Kubernetes. The same one-click automation, a fraction of the cost, and zero vendor lock-in.

Engineering-grade tooling

We build the tools we wish existed: a ClickHouse console, a CDC connector, a query profiler, point-in-time backups, and database branching.

Our tech stack

Fluent in your stack

MongoDBCouchbaseClickHouseStarRocksKafkaElasticsearchGoogle CloudAWS

See how we use them

How we work

Why teams choose us

Speed

Milliseconds, not batch windows.

Transparency

Open tools, honest advice, zero lock-in.

Craftsmanship

Production grade from the first commit.

Partnership

We sit with your team, not above it.

Blog & knowledge base

Latest articles

Field notes from our engineers on ClickHouse, MongoDB, Kafka, and real-time data.

MongoDB Aggregation Pipeline - A Practical Guide From $match to $lookup

A hands-on guide to the MongoDB aggregation pipeline. Master $match, $group, $sort, and $lookup by building a real reporting query one stage at a time

Sep 10, 202611 min read

The ESR Rule - How to Build the Perfect Compound Index in MongoDB

Your index exists but queries are still slow? It's usually field order. Learn the ESR rule — Equality, Sort, Range — to build MongoDB compound indexes that actually work.

Sep 9, 20267 min read

ClickHouse Disaster Recovery with ZFS Snapshots and zrepl

A practical guide to continuously replicating ClickHouse data off-box using ZFS snapshots and zrepl — why it works, how to set it up, how to restore, and the consistency caveats nobody mentions.

Sep 8, 202612 min read

HAProxy vs CHproxy for ClickHouse: Which Load Balancer Should You Use?

A practical guide to load balancing ClickHouse. When HAProxy wins, when chproxy wins, minimal setup for both, and the key parameters that actually matter.

Sep 7, 20269 min read

MongoDB Indexes: How to Actually Read and Fix Slow Queries

MongoDB indexes are powerful, but they are not magic. explain tells you the truth — as long as you know where to look. The biggest mistake is seeing IXSCAN and moving on thinking "okay, it is fast." The real story is hidden in those three numbers and in timeReadingMicros.

Aug 14, 202611 min read

Running MongoDB Atlas Vector Search From Your Application Code – Python, JavaScript & Ruby

The mechanical part of vector search is genuinely small: declare an index, put $vectorSearch first in a pipeline, keep filters inside the stage, and project the score so you can see what the engine is thinking.

Aug 10, 20268 min read

View all articles

FAQ

Questions, answered

We are the database engineers you call when data needs to be fast and reliable. We design and run real-time pipelines and modern infrastructure, and we help teams get the most from ClickHouse, MongoDB, and Couchbase.

ClickHouse, MongoDB, and Couchbase, with streaming through Kafka, search with Elasticsearch, and cloud on Google Cloud and AWS.

Yes. With our partners we run a private database-as-a-service on your own Kubernetes, so your data stays yours, with predictable cost and no lock-in.

Tell us about your setup on the contact form below. We reply within one business day, often sooner.

Contact

Let's talk about your data

Tell us what you are building. We reply within one business day, often sooner.