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DBMS > Hypertable vs. Kinetica vs. Oracle Berkeley DB vs. RavenDB vs. searchxml

System Properties Comparison Hypertable vs. Kinetica vs. Oracle Berkeley DB vs. RavenDB vs. searchxml

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonKinetica  Xexclude from comparisonOracle Berkeley DB  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 HadoopFully vectorized database across both GPUs and CPUsWidely used in-process key-value storeOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseDBMS for structured and unstructured content wrapped with an application server
Primary database modelWide column storeRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document storeNative XML DBMS
Search engine
Secondary database modelsSpatial DBMS
Time Series DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Websitewww.kinetica.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlravendb.netwww.searchxml.net/­category/­products
Technical documentationdocs.kinetica.comdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlravendb.net/­docswww.searchxml.net/­support/­handouts
DeveloperHypertable Inc.KineticaOracle infooriginally developed by Sleepycat, which was acquired by OracleHibernating Rhinosinformationpartners gmbh
Initial release20092012199420102015
Current release0.9.8.11, March 20167.1, August 202118.1.40, May 20205.4, July 20221.0
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infocommercial license availableOpen 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, C++C, Java, C++ (depending on the Berkeley DB edition)C#C++
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
LinuxAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
macOS
Raspberry Pi
Windows
Windows
Data schemeschema-freeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenoyesnonoyes
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 editionyes
Secondary indexesrestricted infoonly exact value or prefix value scansyesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes infoSQL interfaced based on SQLite is availableSQL-like query language (RQL)no
APIs and other access methodsC++ API
Thrift
JDBC
ODBC
RESTful HTTP 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
C++
Java
JavaScript (Node.js)
Python
.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
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnouser defined functionsnoyesyes infoon the application server
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoonly for the SQL APIyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelSource-replica replicationSource-replica replicationMulti-source replicationyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationDefault 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 integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID, Cluster-wide transaction availablemultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyesno
User concepts infoAccess controlnoAccess rights for users and roles on table levelnoAuthorization 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
HypertableKineticaOracle Berkeley DBRavenDBsearchxml
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