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DBMS > Cassandra vs. GigaSpaces vs. Greenplum vs. GridDB vs. Microsoft SQL Server

System Properties Comparison Cassandra vs. GigaSpaces vs. Greenplum vs. GridDB vs. Microsoft SQL Server

Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonGigaSpaces  Xexclude from comparisonGreenplum  Xexclude from comparisonGridDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Scalable in-memory time series database optimized for IoT and Big DataMicrosofts flagship relational DBMS
Primary database modelWide column storeDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSTime Series DBMSRelational DBMS
Secondary database modelsVector DBMS infostarting with release V5Graph DBMS
Search engine
Document store
Spatial DBMS
Key-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
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Websitecassandra.apache.orgwww.gigaspaces.comgreenplum.orggriddb.netwww.microsoft.com/­en-us/­sql-server
Technical documentationcassandra.apache.org/­doc/­latestdocs.gigaspaces.com/­latest/­landing.htmldocs.greenplum.orgdocs.griddb.netlearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookGigaspaces TechnologiesPivotal Software Inc.Toshiba CorporationMicrosoft
Initial release20082000200520131989
Current release4.1.3, July 202315.5, September 20207.0.0, September 20235.1, August 2022SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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Implementation languageJavaJava, C++, .NetC++C++
Server operating systemsBSD
Linux
OS X
Windows
Linux
macOS
Solaris
Windows
LinuxLinuxLinux
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infonumerical, string, blob, geometry, boolean, timestampyes
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.nono infoXML can be used for describing objects metadatayes infosince Version 4.2noyes
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionyesyesyesyes
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)SQL-99 for query and DML statementsyesSQL92, SQL-like TQL (Toshiba Query Language)yes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
.Net
C++
Java
Python
Scala
C
Java
Perl
Python
R
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
Server-side scripts infoStored proceduresnoyesyesnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersyesyes, event driven architectureyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingShardingShardingtables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replicationSource-replica replicationyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoMap-Reduce pattern can be built with XAP task executorsyesConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDACIDACID at container levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyesyes
User concepts infoAccess controlAccess rights for users can be defined per objectRole-based access controlfine grained access rights according to SQL-standardAccess rights for users can be defined per databasefine grained access rights according to SQL-standard
More information provided by the system vendor
CassandraGigaSpacesGreenplumGridDBMicrosoft SQL Server
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
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GridDB is a highly scalable, in-memory time series database optimized for IoT and...
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Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
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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
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Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
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Open Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
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