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DBMS > Hypertable vs. OrientDB vs. Postgres-XL vs. Stardog

System Properties Comparison Hypertable vs. OrientDB vs. Postgres-XL vs. Stardog

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonOrientDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonStardog  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 HadoopMulti-model DBMS (Document, Graph, Key/Value)Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelWide column storeDocument store
Graph DBMS
Key-value store
Relational DBMSGraph DBMS
RDF store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websiteorientdb.orgwww.postgres-xl.orgwww.stardog.com
Technical documentationwww.orientdb.com/­docs/­last/­index.htmlwww.postgres-xl.org/­documentationdocs.stardog.com
DeveloperHypertable Inc.OrientDB LTD; CallidusCloud; SAPStardog-Union
Initial release200920102014 infosince 2012, originally named StormDB2010
Current release0.9.8.11, March 20163.2.29, March 202410 R1, October 20187.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache version 2Open Source infoMozilla public licensecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaCJava
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
All OS with a Java JDK (>= JDK 6)Linux
macOS
Linux
macOS
Windows
Data schemeschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or datenoyesyesyes
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 infoXML type, but no XML query functionalityno infoImport/export of XML data possible
Secondary indexesrestricted infoonly exact value or prefix value scansyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnoSQL-like query language, no joinsyes infodistributed, parallel query executionYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsC++ API
Thrift
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnoJava, Javascriptuser defined functionsuser defined functions and aggregates, HTTP Server extensions in Java
TriggersnoHooksyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelMulti-source replicationMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infocould be achieved with distributed queriesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyes inforelationship in graphsyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyes
User concepts infoAccess controlnoAccess rights for users and roles; record level security configurablefine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
HypertableOrientDBPostgres-XLStardog
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