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DBMS > GeoSpock vs. GridGain vs. InfinityDB vs. Microsoft SQL Server

System Properties Comparison GeoSpock vs. GridGain vs. InfinityDB vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonGridGain  Xexclude from comparisonInfinityDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleGridGain is an in-memory computing platform, built on Apache IgniteA Java embedded Key-Value Store which extends the Java Map interfaceMicrosofts flagship relational DBMS
Primary database modelRelational DBMSKey-value store
Relational DBMS
Key-value storeRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score821.56
Rank#3  Overall
#3  Relational DBMS
Websitegeospock.comwww.gridgain.comboilerbay.comwww.microsoft.com/­en-us/­sql-server
Technical documentationwww.gridgain.com/­docs/­index.htmlboilerbay.com/­infinitydb/­manuallearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperGeoSpockGridGain Systems, Inc.Boiler Bay Inc.Microsoft
Initial release200720021989
Current release2.0, September 2019GridGain 8.5.14.0SQL Server 2022, November 2022
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptJava, C++, .NetJavaC++
Server operating systemshostedLinux
OS X
Solaris
Windows
All OS with a Java VMLinux
Windows
Data schemeyesyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or dateyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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.noyesnoyes
Secondary indexestemporal, categoricalyesno infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)ANSI-99 for query and DML statements, subset of DDLnoyes
APIs and other access methodsJDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
JavaC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)noTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnoyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingnonetables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)noneyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integritynonono infomanual creation possible, using inversions based on multi-value capabilityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlAccess rights for users can be defined per tableSecurity Hooks for custom implementationsnofine grained access rights according to SQL-standard

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More resources
GeoSpockGridGainInfinityDBMicrosoft SQL Server
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