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DBMS > FatDB vs. Geode vs. InterSystems Caché vs. Spark SQL

System Properties Comparison FatDB vs. Geode vs. InterSystems Caché vs. Spark SQL

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonGeode  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonSpark SQL  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines 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 multi-model DBMS and application serverSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Key-value store
Key-value storeKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.92
Rank#131  Overall
#23  Key-value stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitegeode.apache.orgwww.intersystems.com/­products/­cachespark.apache.org/­sql
Technical documentationgeode.apache.org/­docsdocs.intersystems.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperFatCloudOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.InterSystemsApache Software Foundation
Initial release2012200219972014
Current release1.1, February 20172018.1.4, May 20203.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#JavaScala
Server operating systemsWindowsAll OS with a Java VM infothe JDK (8 or later) is also requiredAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freedepending on used data modelyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesno
Secondary indexesyesnoyesno
SQL infoSupport of SQLno infoVia inetgration in SQL ServerSQL-like query language (OQL)yesSQL-like DML and DDL statements
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Java Client API
Memcached protocol
RESTful HTTP API
.NET Client API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC#.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
C++
Java
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes infovia applicationsuser defined functionsyesno
Triggersyes infovia applicationsyes infoCache Event Listenersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes, on a single nodeACIDno
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.yesyesno
User concepts infoAccess controlno infoCan implement custom security layer via applicationsAccess rights per client and object definableAccess rights for users, groups and rolesno

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FatDBGeodeInterSystems CachéSpark SQL
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