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DBMS > FatDB vs. GeoSpock vs. Oracle Berkeley DB

System Properties Comparison FatDB vs. GeoSpock vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Spatial and temporal data processing engine for extreme data scaleWidely used in-process key-value store
Primary database modelDocument store
Key-value store
Relational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Websitegeospock.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperFatCloudGeoSpockOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release20121994
Current release2.0, September 201918.1.40, May 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#Java, JavascriptC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsWindowshostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.noyes infoonly with the Berkeley DB XML edition
Secondary indexesyestemporal, categoricalyes
SQL infoSupport of SQLno infoVia inetgration in SQL ServerANSI SQL for query only (using Presto)yes infoSQL interfaced based on SQLite is available
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
Supported programming languagesC#.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresyes infovia applicationsnono
Triggersyes infovia applicationsnoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsAccess rights for users can be defined per tableno

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More resources
FatDBGeoSpockOracle Berkeley DB
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