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DBMS > Cassandra vs. GridDB vs. Microsoft SQL Server vs. Sphinx vs. StarRocks

System Properties Comparison Cassandra vs. GridDB vs. Microsoft SQL Server vs. Sphinx vs. StarRocks

Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonGridDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSphinx  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessScalable in-memory time series database optimized for IoT and Big DataMicrosofts flagship relational DBMSOpen source search engine for searching in data from different sources, e.g. relational databasesAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelWide column storeTime Series DBMSRelational DBMSSearch engineRelational DBMS
Secondary database modelsVector DBMS infostarting with release V5Key-value store
Relational DBMS
Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score98.83
Rank#12  Overall
#1  Wide column stores
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websitecassandra.apache.orggriddb.netwww.microsoft.com/­en-us/­sql-serversphinxsearch.comwww.starrocks.io
Technical documentationcassandra.apache.org/­doc/­latestdocs.griddb.netlearn.microsoft.com/­en-US/­sql/­sql-serversphinxsearch.com/­docsdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookToshiba CorporationMicrosoftSphinx Technologies Inc.The Linux Foundation infosince Feb 2023
Initial release20082013198920012020
Current release4.1.3, July 20235.1, August 2022SQL Server 2022, November 20223.5.1, February 20232.5.3, March 2023
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial inforestricted free version is availableOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++C++C++, Java
Server operating systemsBSD
Linux
OS X
Windows
LinuxLinux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesnoyes
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.nonoyesno
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)SQL92, SQL-like TQL (Toshiba Query Language)yesSQL-like query language (SphinxQL)yes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Proprietary protocolJDBC
MySQL protocol
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Java
Server-side scripts infoStored proceduresnonoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javanouser defined functions
Triggersyesyesyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Shardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleSource-replica replicationyes, but depending on the SQL-Server Editionnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACID at container levelACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlAccess rights for users can be defined per objectAccess rights for users can be defined per databasefine grained access rights according to SQL-standardnoRole based access control and fine grained access rights
More information provided by the system vendor
CassandraGridDBMicrosoft SQL ServerSphinxStarRocks
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
GridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
» more
1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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Factory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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Denso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
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Market metricsCassandra is used by 40% of the Fortune 100.
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GitHub trending repository
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more
Open Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
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