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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. MariaDB vs QuestDB

MariaDB vs QuestDB

OverviewDecisionsComparisonAlternatives

Overview

MariaDB
MariaDB
Stacks16.5K
Followers12.8K
Votes468
GitHub Stars6.6K
Forks1.9K
QuestDB
QuestDB
Stacks19
Followers50
Votes17
GitHub Stars16.3K
Forks1.5K

MariaDB vs QuestDB: What are the differences?

Developers describe MariaDB as "An enhanced, drop-in replacement for MySQL". Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance. On the other hand, QuestDB is detailed as "Open source database for time series, events, and analytical workloads". It is an open source database for time series, events, and analytical workloads with a primary focus on performance. It enhances ANSI SQL with time series extensions to manipulate time stamped data.

MariaDB and QuestDB can be primarily classified as "Databases" tools.

Some of the features offered by MariaDB are:

  • Replication
  • Insert Delayed
  • Events

On the other hand, QuestDB provides the following key features:

  • SIMD optimised analytics
  • Rows and columns based access
  • Vectorized queries execution

MariaDB is an open source tool with 3.44K GitHub stars and 1.03K GitHub forks. Here's a link to MariaDB's open source repository on GitHub.

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Advice on MariaDB, QuestDB

Omran
Omran

CTO & Co-founder at Bonton Connect

Jun 19, 2020

Needs advice

We actually use both Mongo and SQL databases in production. Mongo excels in both speed and developer friendliness when it comes to geospatial data and queries on the geospatial data, but we also like ACID compliance hence most of our other data (except on-site logs) are stored in a SQL Database (MariaDB for now)

582k views582k
Comments

Detailed Comparison

MariaDB
MariaDB
QuestDB
QuestDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

QuestDB is an open source database for time series, events, and analytical workloads with a primary focus on performance. It enhances ANSI SQL with time series extensions.

Replication;Insert Delayed;Events;Dynamic;Columns;Full-text;Search;GIS;Locale;Settings;subqueries;Timezones;Triggers;XML;Functions;Views;SSL;Show Profile
Relational model for time series; SIMD accelerated queries; Time partitioned; Heavy parallelization; Scalable ingestion; Immediate consistency; Time series and relational joins; Native InfluxDB line protocol; Grafana through Postgres wire support; Schema or schema-free; Aggregations and down sampling
Statistics
GitHub Stars
6.6K
GitHub Stars
16.3K
GitHub Forks
1.9K
GitHub Forks
1.5K
Stacks
16.5K
Stacks
19
Followers
12.8K
Followers
50
Votes
468
Votes
17
Pros & Cons
Pros
  • 149
    Drop-in mysql replacement
  • 100
    Great performance
  • 74
    Open source
  • 55
    Free
  • 44
    Easy setup
Pros
  • 2
    Real-time analytics
  • 2
    Time-series data analysis
  • 2
    Open source
  • 2
    SQL
  • 2
    Postgres wire protocol
Integrations
No integrations available
InfluxDB
InfluxDB
Java
Java
PostgreSQL
PostgreSQL

What are some alternatives to MariaDB, QuestDB?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

InfluxDB

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

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