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DBMS > FatDB vs. Hypertable vs. PouchDB vs. RavenDB vs. Splunk

System Properties Comparison FatDB vs. Hypertable vs. PouchDB vs. RavenDB vs. Splunk

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonHypertable  Xexclude from comparisonPouchDB  Xexclude from comparisonRavenDB  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.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.An open source BigTable implementation based on distributed file systems such as HadoopJavaScript DBMS with an API inspired by CouchDBOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseAnalytics Platform for Big Data
Primary database modelDocument store
Key-value store
Wide column storeDocument storeDocument storeSearch engine
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.34
Rank#112  Overall
#21  Document stores
Score2.84
Rank#101  Overall
#18  Document stores
Score89.10
Rank#14  Overall
#2  Search engines
Websitepouchdb.comravendb.netwww.splunk.com
Technical documentationpouchdb.com/­guidesravendb.net/­docsdocs.splunk.com/­Documentation/­Splunk
DeveloperFatCloudHypertable Inc.Apache Software FoundationHibernating RhinosSplunk Inc.
Initial release20122009201220102003
Current release0.9.8.11, March 20167.1.1, June 20195.4, July 2022
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availableOpen SourceOpen Source infoAGPL version 3, commercial license availablecommercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C++JavaScriptC#
Server operating systemsWindowsLinux
OS X
Windows infoan inofficial Windows port is available
server-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnononoyes
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
Secondary indexesyesrestricted infoonly exact value or prefix value scansyes infovia viewsyesyes
SQL infoSupport of SQLno infoVia inetgration in SQL ServernonoSQL-like query language (RQL)no infoSplunk Search Processing Language for search commands
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
C++ API
Thrift
HTTP REST infoonly for PouchDB Server
JavaScript API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
HTTP REST
Supported programming languagesC#C++
Java
Perl
PHP
Python
Ruby
JavaScript.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infovia applicationsnoView functions in JavaScriptyesyes
Triggersyes infovia applicationsnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infowith a proxy-based framework, named couchdb-loungeShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor on file system levelMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyesyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Eventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID, Cluster-wide transaction availableno 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 persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlno infoCan implement custom security layer via applicationsnonoAuthorization levels configured per client per databaseAccess rights for users and roles

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More resources
FatDBHypertablePouchDBRavenDBSplunk
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