ArcticDB

I-API & I-Backend-as-a-Service Platforms

Qinisekisa futhi Ubuyekeze Iphrofayela Amaphrofayili afuniwe aya phezulu emiphumeleni yosesho. Qinisekisa manje, kuthatha imizuzu embalwa nje. Vakashela Bika

A client-side, serverless database engineered to accelerate quantitative data science by delivering ultrafast access to petabyte-scale time-series data, with billions of rows and hundreds of thousands of columns available in seconds, all without managing dedicated servers. Key features include an instantly queryable data format, built-in versioning and time travel for safe, evolving schemas, effortless integration with the common data-science ecosystem, a familiar data-frame style API, and zero-setup, multi-user operation that supports backtesting, analytics, and modeling for researchers, traders, analysts, risk managers, and data teams working with large-scale data.

ArcticDB ingatholakala ku API & Backend-as-a-Service Platforms izigaba.

Imikhiqizo efana kakhulu ne-ArcticDB yile:

DivParser Iphrofayela eqinisekisiwe Kukhuthazwe → Neon → MotherDuck → ClickHouse → DataSet →

Izithombe-skrini

Imininingwane

ArcticDB Izici Eziyinhloko

• Speed
  ArcticDB processes billions of rows of data in seconds, making it very fast.
• Time Travel
  ArcticDB allows users to easily manage and modify data over time with built-in versions.
• Flexible Scaling
  You can scale your data from zero to many users without any hassle.
• Add-ons Available
  There are additional features and support options available for Pro and Enterprise users.
• Community Support
  Users can access community support and resources for help.
• No Servers Needed
  ArcticDB is a client-side database, so you don't need dedicated servers to use it.
• Open Source Ethos
  The source code is available on GitHub, allowing users to start using ArcticDB right away.
• DataFrames at Scale
  It can handle huge amounts of data, with hundreds of thousands of columns and petabytes of data.
• Familiar Python API
  It integrates easily with Python data science libraries and can be installed simply using pip.
• Research Ready Data
  It provides seamless data handling for onboarding, sharing, and production in quantitative workflows.
• Time-Series Analysis
  The query engine is optimized for analyzing time series data.
• Quantitative Data Support
  It supports large data frames, making it easy to model entire trading universes.

Amabheji

<a href="https://saasbrowser.com/zu/saas/525966/arcticdb" target="_blank" rel="noopener"><img src="https://files.saasbrowser.com/hyua7os8j97x90aybhh5839aper4" alt="ArcticDB - SaaS Browser Verified Badge" width="200" height="133" /></a>

Kopisha ibheji

<a href="https://saasbrowser.com/zu/saas/525966/arcticdb" target="_blank" rel="noopener"><img src="https://files.saasbrowser.com/kjxkksnqtgd5nbsyapzu8wn7sbc3" alt="ArcticDB - SaaS Browser Verified Badge" width="200" height="133" /></a>

Kopisha ibheji

ArcticDB Okunye

DivParser

Iphrofayela eqinisekisiwe

Kukhuthazwe

An intelligent web scraper that automates data extraction with unparalleled p...

Neon

A serverless, relational database platform with a SQL-compatible interface en...

MotherDuck

This platform serves as a cloud-based data warehouse designed to efficiently ...

ClickHouse

This platform serves as a high-performance analytical database designed for r...

DataSet

A comprehensive data platform enables organizations to perform live queries, ...

StatelyDB

This innovative database solution offers a flexible and scalable approach to ...

SingleStore

This advanced data platform is designed to optimize performance for applicati...

Ubuchwepheshe obusetshenzisiwe

Buka Zonke Technologies