Numia

The Data Cloud for Blockchains. Enterprise-ready Infra, Analytics, and Growth Tools for crypto. Any chain, any protocol.

[Marc Höffl @marchoeffl]

Today we are launching @ObsessionDB, the realtime data warehouse for agents.

Your agents are hungry for data. Feeding them is getting expensive.

Your data warehouse wasn't built (or priced) for that.

We learned this the hard way. We scaled our last company to petabytes on ClickHouse and watched the infra bill go vertical.

So we built @ObsessionDB . The ClickHouse engine, rebuilt with compute and storage separated, so your infra scales with your agents instead of your bill.

100x faster and 20x cheaper than Snowflake and Databricks. Already live, processing trillions of rows a day.

Agents are just getting started...

[Rafa Aviles @avilesrafa]

Today we are officially launching @ObsessionDB, the fastest and most scalable data warehouse for AI.

Agents are hungry for data, and we are helping companies make their data stack agent-ready, without having to worry about their infra bill.

[Rafa Aviles @avilesrafa]

Unpopular opinion: your data warehouse/platform should not make money from your waste. Today, most of them do.

Consumption pricing means your vendor earns more when your queries or schema are suck. Some of them charge crazy multiples on the underlying infra. That is not a partnership; it feels like they are extracting from you.

Data warehouses and data platforms should be more aligned with customers:

1. Infra at cost. You see the real cloud bill, line by line.
2. One platform fee. No overages. No markup.
3. Run it in your cloud, on your hardware, or go managed. No difference in the price.

If we save you money, we should win too. If your bill goes up because you burned more compute, we don't extract extra margins. The old model doesn't make any sense to me.

Is this naive?

[ObsessionDB @ObsessionDB]

56 TB of data (203 billion rows) on ObsessionDB, with live ingestion, and we managed to run 100% of the queries in under one second.

Slowest: 977 ms.

Three things made that possible 🧵

[Numia @NumiaData]

7/ If you're building on ZIGChain: sign up at https://t.co/5UmPfZlXOW, create a service, open Datashares, request the public dataset for ZIGChain, and get started.

More info here -> https://t.co/xjUFEb7iXB

[Numia @NumiaData]

1/ Announcing @ZIGChain ’s public dataset on managed ClickHouse®

Every ZIGChain dev can now query ZIGChain’s indexed onchain data directly in their own instance at a fraction of the cost and at millisecond speed.

Here's how that works. 🧵

[Numia @NumiaData]

6/ What you can build on the ZIGChain datashare:

→ portfolio and wallet endpoints
→ DEX/pool analytics
→ explorers and dashboards
→ trading bots and alerting
→ anything you'd otherwise index yourself

Plain SQL, your own cheap compute, your own scaling.

[Alvaro @alvaro__data]

Three replicas of a ClickHouse® table mean three full copies of the same data.

You are paying your storage bill three times and calling it durability.

The replication tax nobody names:

[ZIG Finance @ZIGFinance]

Most chains were designed to move tokens. Onchain finance needs something else entirely: capital, compliance, institutions, and the distribution to reach people, all at once.

That's the big idea behind ZIGChain, and every one of those layers exists here today. 🧵

[Rafa Aviles @avilesrafa]

https://t.co/FwcQ5Z6tSJ

[Numia @NumiaData]

We are moving all our public datasets from BigQuery to Clickhouse®.

Clickhouse will allow our customers to build endpoints right from the data warehouse and consume data at a cost of an order of magnitude lower.

If you consume our public data sets, reach out so we can help you with the migration!

[ZIG Finance @ZIGFinance]

The ecosystem is here.

These are the projects, protocols, and communities making onchain finance worth building toward.

And they're all part of the ZIGChain Summit 2026.

📍 April 28 | Dubai, UAE

[Rafa Aviles @avilesrafa]

https://t.co/lxH4FLFEtO

[Alvaro @alvaro__data]

Detecting outliers across 15M daily events in 21ms. No Kafka, no Flink, no external services.

Two chained materialized views and a rolling p99 quantile. Everything inside ClickHouse.

Our team at @ObsessionDB wrote the full architecture + SQL:

https://t.co/yf6kZvEjne

[ZIG Finance @ZIGFinance]

1/ Welcome to the network.

[Numia @NumiaData]

If you are a block explorer, indexer, data platform, or similar working in Crypto, we can cut your analytics infrastructure costs by more than 25%, guaranteed.

Reach out.