ql.io

Ql.io

ql.io is an open-source SQL database that is focused on performance, scalability, and ease of use. It is designed to handle large amounts of data and complex queries with minimal latency.
ql.io image
opensource sql database performance scalability large-data complex-queries low-latency

ql.io: Open-Source SQL Database

An open-source SQL database focused on performance, scalability, and ease of use for handling large amounts of data and complex queries with minimal latency.

What is Ql.io?

ql.io is an open-source distributed SQL database built from the ground up to be fast, scalable and easy to use. Some key features and benefits include:

  • High performance - ql.io uses a distributed architecture that can scale linearly to handle large data volumes and complex workloads. It builds indexes adaptively and pipelines queries to achieve low latency.
  • Scalability - It is designed to scale horizontally across commodity servers and cloud infrastructure to handle increasing data volumes. The storage and compute layers scale independently.
  • SQL Support - It supports standard SQL syntax and common data types. This makes it easy to migrate from other databases.
  • Ease of use - ql.io does not require managing clusters, shards, replicas etc. It aims to provide the scalability of a distributed database with the ease of use of a single-node database.
  • Cloud native - It runs seamlessly on Kubernetes and serverless infrastructure. This makes it easy to operate at scale.
  • Developer friendliness - ql.io has clients for popular languages. It focuses on making the DBA/devops experience pleasant with things like intelligent defaults and auto-tuning.

In summary, ql.io is built for the new world of large unstructured datasets that require support for ad-hoc analytics at scale. It balances high functionality, performance and scalability with usability - making it a good option for modern data-driven applications.

Ql.io Features

Features

  1. Column-oriented storage engine for faster queries
  2. Support for SQL queries
  3. Distributed architecture for scaling
  4. Automatic sharding
  5. ACID transactions
  6. Embeddable
  7. Zero configuration

Pricing

  • Open Source

Pros

Very fast query performance

Scales horizontally

SQL support allows easy migration

Lightweight and embeddable

Open source

Cons

Limited ecosystem compared to larger databases

Not as feature rich as commercial options

Limited admin UI

No commercial support


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