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DBMS > HBase vs. Stardog vs. Tkrzw vs. YottaDB

System Properties Comparison HBase vs. Stardog vs. Tkrzw vs. YottaDB

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonStardog  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetA fast and solid embedded Key-value store
Primary database modelWide column storeGraph DBMS
RDF store
Key-value storeKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score0.07
Rank#372  Overall
#57  Key-value stores
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitehbase.apache.orgwww.stardog.comdbmx.net/­tkrzwyottadb.com
Technical documentationhbase.apache.org/­book.htmldocs.stardog.comyottadb.com/­resources/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetStardog-UnionMikio HirabayashiYottaDB, LLC
Initial release2008201020202001
Current release2.3.4, January 20217.3.0, May 20200.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache version 2commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache Version 2.0Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++C
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux
macOS
Windows
Linux
macOS
Docker
Linux
Data schemeschema-free, schema definition possibleschema-free and OWL/RDFS-schema supportschema-freeschema-free
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesnono
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.nono infoImport/export of XML data possiblenono
Secondary indexesnoyes infosupports real-time indexing in full-text and geospatialno
SQL infoSupport of SQLnoYes, compatible with all major SQL variants through dedicated BI/SQL Servernoby using the Octo plugin
APIs and other access methodsJava API
RESTful HTTP 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
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C++
Java
Python
Ruby
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyes infoCoprocessors in Javauser defined functions and aggregates, HTTP Server extensions in Javano
Triggersyesyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication in HA-Clusternoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACIDoptimistic locking
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.yesyesyes infousing specific database classesyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users and rolesnoUsers and groups based on OS-security mechanisms

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More resources
HBaseStardogTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYottaDB
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