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DBMS > Hypertable vs. OrigoDB vs. PouchDB vs. RavenDB vs. searchxml

System Properties Comparison Hypertable vs. OrigoDB vs. PouchDB vs. RavenDB vs. searchxml

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonOrigoDB  Xexclude from comparisonPouchDB  Xexclude from comparisonRavenDB  Xexclude from comparisonsearchxml  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopA fully ACID in-memory object graph databaseJavaScript DBMS with an API inspired by CouchDBOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseDBMS for structured and unstructured content wrapped with an application server
Primary database modelWide column storeDocument store
Object oriented DBMS
Document storeDocument storeNative XML DBMS
Search engine
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score2.92
Rank#101  Overall
#18  Document stores
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Websiteorigodb.compouchdb.comravendb.netwww.searchxml.net/­category/­products
Technical documentationorigodb.com/­docspouchdb.com/­guidesravendb.net/­docswww.searchxml.net/­support/­handouts
DeveloperHypertable Inc.Robert Friberg et alApache Software FoundationHibernating Rhinosinformationpartners gmbh
Initial release20092009 infounder the name LiveDB201220102015
Current release0.9.8.11, March 20167.1.1, June 20195.4, July 20221.0
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen SourceOpen SourceOpen Source infoAGPL version 3, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#JavaScriptC#C++
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Linux
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Raspberry Pi
Windows
Windows
Data schemeschema-freeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenoUser defined using .NET types and collectionsnonoyes
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.no infocan be achieved using .NETnoyes
Secondary indexesrestricted infoonly exact value or prefix value scansyesyes infovia viewsyesyes
SQL infoSupport of SQLnononoSQL-like query language (RQL)no
APIs and other access methodsC++ API
Thrift
.NET Client API
HTTP API
LINQ
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
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
.NetJavaScript.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnoyesView functions in JavaScriptyesyes infoon the application server
Triggersnoyes infoDomain Eventsyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding infowith a proxy-based framework, named couchdb-loungeShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replicationyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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.Immediate Consistency
Foreign keys infoReferential integritynodepending on modelnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID, Cluster-wide transaction availablemultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyes 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.yesyesno
User concepts infoAccess controlnoRole based authorizationnoAuthorization levels configured per client per databaseDomain, group and role-based access control at the document level and for application services

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More resources
HypertableOrigoDBPouchDBRavenDBsearchxml
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