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DBMS > Hypertable vs. Oracle Berkeley DB vs. Stardog vs. Yanza

System Properties Comparison Hypertable vs. Oracle Berkeley DB vs. Stardog vs. Yanza

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonStardog  Xexclude from comparisonYanza  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopWidely used in-process key-value storeEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationTime Series DBMS for IoT Applications
Primary database modelWide column storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Graph DBMS
RDF store
Time 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
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.stardog.comyanza.com
Technical documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.stardog.com
DeveloperHypertable Inc.Oracle infooriginally developed by Sleepycat, which was acquired by OracleStardog-UnionYanza
Initial release2009199420102015
Current release0.9.8.11, March 201618.1.40, May 20207.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen Source infocommercial license availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, Java, C++ (depending on the Berkeley DB edition)Java
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
macOS
Windows
Windows
Data schemeschema-freeschema-freeschema-free and OWL/RDFS-schema supportschema-free
Typing infopredefined data types such as float or datenonoyesno
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.yes infoonly with the Berkeley DB XML editionno infoImport/export of XML data possibleno
Secondary indexesrestricted infoonly exact value or prefix value scansyesyes infosupports real-time indexing in full-text and geospatialno
SQL infoSupport of SQLnoyes infoSQL interfaced based on SQLite is availableYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsC++ API
Thrift
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
HTTP API
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
.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
Clojure
Groovy
Java
JavaScript
Python
Ruby
any language that supports HTTP calls
Server-side scripts infoStored proceduresnonouser defined functions and aggregates, HTTP Server extensions in Javano
Triggersnoyes infoonly for the SQL APIyes infovia event handlersyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelSource-replica replicationMulti-source replication in HA-Clusternone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnonoAccess rights for users and rolesno

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More resources
HypertableOracle Berkeley DBStardogYanza
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