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DBMS > Databend vs. OpenMLDB vs. Quasardb vs. STSdb

System Properties Comparison Databend vs. OpenMLDB vs. Quasardb vs. STSdb

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonOpenMLDB  Xexclude from comparisonQuasardb  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityAn open-source machine learning database that provides a feature platform for training and inferenceDistributed, high-performance timeseries databaseKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitegithub.com/­datafuselabs/­databend
www.databend.com
openmldb.aiquasar.aigithub.com/­STSSoft/­STSdb4
Technical documentationdocs.databend.comopenmldb.ai/­docs/­zh/­maindoc.quasar.ai/­master
DeveloperDatabend Labs4 Paradigm Inc.quasardbSTS Soft SC
Initial release2021202020092011
Current release1.0.59, April 20232024-2 February 20243.14.1, January 20244.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustC++, Java, ScalaC++C#
Server operating systemshosted
Linux
macOS
LinuxBSD
Linux
OS X
Windows
Windows
Data schemeyesFixed schemaschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes infoprimitive types and user defined types (classes)
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 indexesnoyesyes infowith tagsno
SQL infoSupport of SQLyesyesSQL-like query languageno
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
JDBC
SQLAlchemy
HTTP API.NET Client API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C++
Go
Java
Python
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
Java
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient mode
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailno

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More resources
DatabendOpenMLDBQuasardbSTSdb
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