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DBMS > Quasardb vs. SpaceTime vs. TDSQL for MySQL

System Properties Comparison Quasardb vs. SpaceTime vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameQuasardb  Xexclude from comparisonSpaceTime  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionDistributed, high-performance timeseries databaseSpaceTime is a spatio-temporal DBMS with a focus on performance.A high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelTime Series DBMSSpatial DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Score0.85
Rank#207  Overall
#97  Relational DBMS
Websitequasar.aiwww.mireo.com/­spacetimewww.tencentcloud.com/­products/­dcdb
Technical documentationdoc.quasar.ai/­masterwww.tencentcloud.com/­document/­product/­1042
DeveloperquasardbMireoTencent
Initial release200920202013
Current release3.14.1, January 2024
License infoCommercial or Open Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemsBSD
Linux
OS X
Windows
Linuxhosted
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyes infointeger and binaryyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyes infowith tagsnoyes
SQL infoSupport of SQLSQL-like query languageA subset of ANSI SQL is implementedyes
APIs and other access methodsHTTP APIRESTful HTTP APIJDBC
ODBC
Supported programming languages.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
C++
Python
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoconsistent hashingFixed-grid hypercubesAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factorReal-time block device replication (DRBD)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient modenono
User concepts infoAccess controlCryptographically strong user authentication and audit trailyesUsers with fine-grained authorization concept

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More resources
QuasardbSpaceTimeTDSQL for MySQL
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