ArdaDB

Subsecond SQL on 20 years of tick data. No database to build. No pipelines to maintain.

Every dataset you subscribe to is queryable the moment you sign in. algoseek manages the database, the updates, and the pipelines. You write SQL against 20 years of tick data across equities, options, and futures, and get results in subseconds.

ArdaDB SQL

0.34s

98,280 rows returned

date ticker open high low close vol
2024-01-02 AAPL 187.15 188.44 183.89 185.64 82.4M
2024-01-03 AAPL 184.22 185.88 183.43 184.25 58.4M
2024-01-04 AAPL 182.15 183.09 180.88 181.91 71.9M
2024-01-05 AAPL 181.99 182.76 180.17 181.18 62.3M

Databases are easy at megabytes. At terabytes of tick data, you trade speed for cost, or cost for the time you spend maintaining it.

Build your own

Setup time

Speed

Cost

Maintenance

Setup alone takes days or weeks, not hours. But the real cost is what comes after: nightly updates, batch job failures, schema changes, storage growth. The database becomes a second job that never ends.

Cloud databases

Setup time

Speed

Cost

Maintenance

Cloud databases charge by compute. One month your bill is $300. The next, you run a batch of historical queries and it is $5,000. You never know what you will pay.

ArdaDB

Setup time

Speed

Cost

Maintenance

Fixed monthly pricing. Your data is already loaded. algoseek manages the database, the updates, and the pipelines. No setup. No surprise bills.

Shared for research. Dedicated for production.

Both run on ClickHouse. Both handle terabytes. The difference is who else is on the server.

Write SQL and go. Your datasets are waiting.

Every dataset you subscribe to is already in the database, updated every night by algoseek. No setup, no imports, no pipeline to configure. A quant wants to research any ticker on any time frame based on where their research takes them. Not stop and negotiate more data access.

No per-query fees. Fixed compute.

Updated nightly. Pipelines managed by algoseek.

Pricing

Fixed monthly fee

Available with any data subscription. Small egress fees for downloaded results.

Best for: research and exploration

Your database. Your account. Nobody can see your queries.

Your SQL queries reveal your research direction, your signal construction, and your strategy. On a shared environment, that is a leakage risk. On Dedicated ArdaDB, nobody can see your queries. Not other users. Not algoseek. There is no way for anyone to infer what you are building. Run production, test, and development servers simultaneously. Load your own proprietary data alongside algoseek datasets. Server sizing entirely up to you.

24/7 monitoring.Dedicated database team.

AWS at cost.No algoseek markup on compute.

Pricing

$500/month

Fixed algoseek service fee. AWS compute costs passed through at cost. Server sizing up to you.

Best for: production and privacy

Built for teams that would rather write SQL than manage infrastructure.

Quantitative research teams, fintechs, trading firms without a dedicated database engineering department. You need tick-level market data in a database that works.

You do not worry about the pipeline, the updates, or the breaks. It is just there. It works.

You never maintain a pipeline

The issue is never the initial setup. It is the ongoing support: nightly updates, batch job failures, schema migrations, storage that grows faster than your budget. algoseek handles all of it with a dedicated database team and 24/7 monitoring.

You never set up a database

Setting up a proper database for terabytes of tick data is not hours of work. It is days or weeks to do properly, and that is before you write a single query. algoseek has already done it.

You never worry about scale

Most SQL databases were built for transactional workloads. They choke on analytical queries across billions of rows of tick data. ClickHouse was built for exactly this, and algoseek extended it for market data specifically.

You never get a surprise bill

Your research should not be constrained by what you can afford to query this month. Fixed monthly pricing means you follow your research wherever it goes without watching a meter.

Five ways to access ArdaDB

SQL client

Jupyter notebooks

RESTful API

Download to local machine

Python library

Write a query. Get an answer.

The Sandbox gives you up to a year of data across all asset classes. No credit card required. Or talk to the team about a production setup.