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DBMS > FatDB vs. Geode vs. jBASE vs. Microsoft SQL Server

System Properties Comparison FatDB vs. Geode vs. jBASE vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonGeode  Xexclude from comparisonjBASE  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA robust multi-value DBMS comprising development tools and middlewareMicrosofts flagship relational DBMS
Primary database modelDocument store
Key-value store
Key-value storeMultivalue DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#134  Overall
#24  Key-value stores
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Websitegeode.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.microsoft.com/­en-us/­sql-server
Technical documentationgeode.apache.org/­docsdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9learn.microsoft.com/­en-US/­sql/­sql-server
DeveloperFatCloudOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Rocket Software (formerly Zumasys)Microsoft
Initial release2012200219911989
Current release1.1, February 20175.7SQL Server 2022, November 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageC#JavaC++
Server operating systemsWindowsAll OS with a Java VM infothe JDK (8 or later) is also requiredAIX
Linux
Windows
Linux
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesoptionalyes
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.noyesyes
Secondary indexesyesnoyes
SQL infoSupport of SQLno infoVia inetgration in SQL ServerSQL-like query language (OQL)Embedded SQL for jBASE in BASICyes
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Java Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesC#.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
Basic
Jabbascript
Java
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresyes infovia applicationsuser defined functionsyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersyes infovia applicationsyes infoCache Event Listenersyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingtables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationyesyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes, on a single nodeACIDACID
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.yesyesyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsAccess rights per client and object definableAccess rights can be defined down to the item levelfine grained access rights according to SQL-standard

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More resources
FatDBGeodejBASEMicrosoft SQL Server
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