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DBMS > FatDB vs. Google Cloud Datastore vs. IBM Db2 vs. JSqlDb vs. Splunk

System Properties Comparison FatDB vs. Google Cloud Datastore vs. IBM Db2 vs. JSqlDb vs. Splunk

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonJSqlDb  Xexclude from comparisonSplunk  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformCommon in IBM host environments, 2 different versions for host and Windows/LinuxJavaScript Query Language Database, stores JavaScript objects and primitivesAnalytics Platform for Big Data
Primary database modelDocument store
Key-value store
Document storeRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBDocument store
Object oriented DBMS
Search engine
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score125.90
Rank#9  Overall
#6  Relational DBMS
Score89.10
Rank#14  Overall
#2  Search engines
Websitecloud.google.com/­datastorewww.ibm.com/­products/­db2jsqldb.org (offline)www.splunk.com
Technical documentationcloud.google.com/­datastore/­docswww.ibm.com/­docs/­en/­db2docs.splunk.com/­Documentation/­Splunk
DeveloperFatCloudGoogleIBMKonrad von BackstromSplunk Inc.
Initial release201220081983 infohost version20182003
Current release12.1, October 20160.8, December 2018
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree version is availableOpen Sourcecommercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C and C++
Server operating systemsWindowshostedAIX
HP-UX
Linux
Solaris
Windows
z/OS
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes, details hereyesnoyes
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.nonoyes
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLno infoVia inetgration in SQL ServerSQL-like query language (GQL)yesnono infoSplunk Search Processing Language for search commands
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
HTTP REST
Supported programming languagesC#.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
JavaScriptC#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infovia applicationsusing Google App Engineyesfunctions in JavaScriptyes
Triggersyes infovia applicationsCallbacks using the Google Apps Engineyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoonly with Windows/Unix/Linux VersionnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication using Paxosyes infowith separate tools (MQ, InfoSphere)noneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflownonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infousing RocksDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlno infoCan implement custom security layer via applicationsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
FatDBGoogle Cloud DatastoreIBM Db2 infoformerly named DB2 or IBM Database 2JSqlDbSplunk
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