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DBMS > Heroic vs. Hypertable vs. TerminusDB vs. Tkrzw

System Properties Comparison Heroic vs. Hypertable vs. TerminusDB vs. Tkrzw

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonHypertable  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchAn open source BigTable implementation based on distributed file systems such as HadoopScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelTime Series DBMSWide column storeGraph DBMSKey-value store
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score0.19
Rank#311  Overall
#27  Graph DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
Websitegithub.com/­spotify/­heroicterminusdb.comdbmx.net/­tkrzw
Technical documentationspotify.github.io/­heroicterminusdb.github.io/­terminusdb/­#
DeveloperSpotifyHypertable Inc.DataChemist Ltd.Mikio Hirabayashi
Initial release2014200920182020
Current release0.9.8.11, March 201611.0.0, January 20230.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGNU version 3. Commercial license availableOpen Source infoGPL V3Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Prolog, RustC++
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
LinuxLinux
macOS
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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.nonono
Secondary indexesyes infovia Elasticsearchrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLnonoSQL-like query language (WOQL)no
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
C++ API
Thrift
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
JavaScript
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnonoyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingGraph Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor on file system levelJournaling Streamsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing specific database classes
User concepts infoAccess controlnoRole-based access controlno

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More resources
HeroicHypertableTerminusDB infoformer name was DataChemistTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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