DBMS > MySQL vs. QuestDB vs. Tibero
System Properties Comparison MySQL vs. QuestDB vs. Tibero
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|Editorial information provided by DB-Engines|
|Name||MySQL Xexclude from comparison||QuestDB Xexclude from comparison||Tibero Xexclude from comparison|
|Description||Widely used open source RDBMS||A high performance open source SQL database for time series data||A secure RDBMS, designed for easy portability from Oracle|
|Primary database model||Relational DBMS Key/Value like access via memcached API||Time Series DBMS||Relational DBMS|
|Secondary database models||Document store|
|Developer||Oracle since 2010, originally MySQL AB, then Sun||QuestDB Limited||TmaxSoft|
|Current release||8.0.33, April 2023||6, April 2015|
|License Commercial or Open Source||Open Source GPL version 2. Commercial licenses with extended functionallity are available||Open Source Apache 2.0||commercial|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Implementation language||C and C++||Java||C and Assembler|
|Server operating systems||FreeBSD|
|Data scheme||yes||yes schema-free via InfluxDB Line Protocol||yes|
|Typing predefined data types such as float or date||yes||yes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||yes||no||yes|
|SQL Support of SQL||yes with proprietary extensions||SQL-like query language||yes|
|APIs and other access methods||ADO.NET|
Proprietary native API
InfluxDB Line Protocol (TCP/UDP)
Oracle Call Interface (OCI)
|Supported programming languages||Ada|
|C PostgreSQL driver|
Rust over HTTP
|Server-side scripts Stored procedures||yes proprietary syntax||no||Persistent Stored Procedure (PSM)|
|Partitioning methods Methods for storing different data on different nodes||horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric||horizontal partitioning (by timestamps)||horizontal partitioning by range, hash, list or composite|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication|
|Configurable consistency for N replicas||Multi-source replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||yes not for MyISAM storage engine||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID not for MyISAM storage engine||ACID for single-table writes||ACID|
|Concurrency Support for concurrent manipulation of data||yes table locks or row locks depending on storage engine||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||yes through memory mapped files||no planned for next version|
|User concepts Access control||Users with fine-grained authorization concept no user groups or roles||fine grained access rights according to SQL-standard (SQL 92, SQL 99)|
|More information provided by the system vendor|
|Specific characteristics||Relational model with native time series support Column based storage and time partitioned...|
|Competitive advantages||Real-time data ingestion and istant SQL queries for time series High performance...|
|Typical application scenarios||Application metrics Financial market data and algo trading DevOps monitoring Real-time...|
|Licensing and pricing models||Apache 2.0.|
Getting Started with QuestDB Cloud
Exploring Financial Tick Data with Jupyter Notebook and Pandas
Time-Series Data Visualization with Apache Superset and QuestDB
Optimizing the Optimizer: the Time-Series Benchmark Suite
QuestDB 7.1.2 Release
We invite representatives of system vendors to contact us for updating and extending the system information,
|Related products and services|
|3rd parties||PlanetScale: Deploy a fully managed serverless database with the reliability of MySQL and the tested scalability of Vitess. Predictably scale, increase workflow velocity, and deploy features with zero downtime. |
Get started with a PlanetScale database today for free.
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Navicat for MySQL is the ideal solution for MySQL/MariaDB administration and development.
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
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