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DBMS > Quasardb vs. RocksDB vs. Sequoiadb vs. SingleStore

System Properties Comparison Quasardb vs. RocksDB vs. Sequoiadb vs. SingleStore

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Editorial information provided by DB-Engines
NameQuasardb  Xexclude from comparisonRocksDB  Xexclude from comparisonSequoiadb  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionDistributed, high-performance timeseries databaseEmbeddable persistent key-value store optimized for fast storage (flash and RAM)NewSQL database with distributed OLTP and SQLMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelTime Series DBMSKey-value storeDocument store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Score0.42
Rank#263  Overall
#41  Document stores
#121  Relational DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitequasar.airocksdb.orgwww.sequoiadb.comwww.singlestore.com
Technical documentationdoc.quasar.ai/­mastergithub.com/­facebook/­rocksdb/­wikiwww.sequoiadb.com/­en/­index.php?m=Files&a=indexdocs.singlestore.com
DeveloperquasardbFacebook, Inc.Sequoiadb Ltd.SingleStore Inc.
Initial release2009201320132013
Current release3.14.1, January 20249.4.0, June 20248.5, January 2024
License infoCommercial or Open Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoBSDOpen Source infoServer: AGPL; Client: Apache V2commercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++C++, Go
Server operating systemsBSD
Linux
OS X
Windows
LinuxLinuxLinux info64 bit version required
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes infointeger and binarynoyes infooid, date, timestamp, binary, regexyes
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.nononono
Secondary indexesyes infowith tagsnoyesyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like query languageyes infobut no triggers and foreign keys
APIs and other access methodsHTTP APIC++ API
Java API
proprietary protocol using JSONCluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languages.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C++
Go
Java
Perl
Python
Ruby
.Net
C++
Java
PHP
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoJavaScriptyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoconsistent hashinghorizontal partitioningShardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factoryesSource-replica replicationSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integrationnonono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesDocument is locked during a transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infoby using LevelDByesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient modeyesnoyes
User concepts infoAccess controlCryptographically strong user authentication and audit trailnosimple password-based access controlFine grained access control via users, groups and roles

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More resources
QuasardbRocksDBSequoiadbSingleStore infoformer name was MemSQL
DB-Engines blog posts

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SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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