Give agents an API to create unlimited databases in milliseconds

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Give agents an API to create unlimited databases in milliseconds.

We handle massive-scale search and query for your agents.

Storage

Object storage for managed databases and files.

10 GB

$0.20/mo

1 GB10 GB100 GB1 TB10 TB100 TB1 PB

Reads

Bytes scanned per query, summed across all queries.

10 GB

$0.10/mo

1 GB10 GB100 GB1 TB10 TB100 TB1 PB

Cost Breakdown

Base platform94%

Storage4%

Reads2%

Monthly Estimate

$5.30

/month

Base platform

$5.00

Storage10 GB

$0.20

Reads10 GB

$0.10

TotalFREE

Vector Search, OLAP, Top-k, and Geospatial in a single query.

Install with Homebrew

brew install hotdata-dev/tap/cli

Load SF Airbnb listings, search, query

hotdata auth register

hotdata databases create \
    --catalog airbnb

hotdata databases load \
    --catalog airbnb \
    --table listings \
    --url https://hotdata.dev/data/sf-airbnb-listings.parquet

hotdata indexes create \
    --catalog airbnb \
    --table listings \
    --column description \
    --type bm25

hotdata search "cozy apartment with a view" \
    --table airbnb.listings \
    --column description \
    --select name,description

hotdata query \
    "SELECT neighbourhood_cleansed AS neighbourhood, COUNT(*) AS listings, ROUND(AVG(review_scores_rating), 2) AS avg_rating FROM airbnb.public.listings GROUP BY neighbourhood_cleansed ORDER BY listings DESC LIMIT 5"

Architecture Diagram

Fully managed or deployed in your own cloud environment.

Built with Rust, Apache Arrow, and Apache DataFusion

What builders are saying

The combination of developer experience and performance stood out to us. The APIs were simple, query performance exceeded our expectations, and our team was able to integrate and start building immediately.

Elvis KahoroDeveloper Experience and Ecosystem Lead · dltHub

Questions?

Agents usually hit many sources at once with lots of concurrent queries—and they need answers quickly. Teams often end up gluing together connectors, caches, and routing by hand. Hotdata wraps that in one API so you get consistent, low-latency reads across your data without maintaining bespoke plumbing for every source.

They're databases your agents create on demand through the API—declare tables, load files like Parquet, query immediately, and tear them down when the task is done. There's no infrastructure to provision, and one SQL surface spans them alongside your connected sources, so agents can explore and join data without standing up a new pipeline every time.

Agents rarely run one-and-done queries; they explore, branch, and retry. That pattern needs snappy responses and a consistent way to reach every system. Hotdata's instant databases are built for that kind of back-and-forth instead of treating each source as a one-off integration.

Agents run in isolated environments with read-only access to your connected data—they can't change your systems of record. They can create temporary managed databases for a session, scoped to the agent and safe to tear down, so exploration and iteration don't put production data at risk.

No. Hotdata is optimized for reads. We operate in read-only mode against snapshots of your databases, warehouses, and SaaS systems. Writes, updates, and deletes stay in each source system where they belong.

No. We only grant read access to connected sources, so agents can't remove or overwrite data at the source.

Hotdata layers on top of what you already run. Your databases, warehouses, and SaaS apps stay the source of truth; we add a low-latency path for agents and applications to query across them when they need to.

Apache DataFusion with Arrow-native execution.

Yes. With bring-your-own-cloud we deploy into your environment and operate the service—you keep control of infrastructure, access, and keys. If you'd rather not manage infra, we also offer a fully managed option.