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DBMS > Heroic vs. Teradata Aster vs. TerminusDB vs. Tkrzw vs. UniData,UniVerse

System Properties Comparison Heroic vs. Teradata Aster vs. TerminusDB vs. Tkrzw vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchPlatform for big data analytics on multistructured data sources and typesScalable 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 CabinetMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelTime Series DBMSRelational DBMSGraph DBMSKey-value storeMultivalue DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitegithub.com/­spotify/­heroicterminusdb.comdbmx.net/­tkrzwwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationspotify.github.io/­heroicterminusdb.github.io/­terminusdb/­#docs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperSpotifyTeradataDataChemist Ltd.Mikio HirabayashiRocket Software
Initial release20142005201820201985
Current release11.0.0, January 20230.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGPL V3Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaProlog, RustC++C
Server operating systemsLinuxLinuxLinux
macOS
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnooptional
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 infoin Aster File Storenono
Secondary indexesyes infovia Elasticsearchyesyes
SQL infoSupport of SQLnoyesSQL-like query language (WOQL)noyes
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
OLE DB
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC
C#
C++
Java
Python
R
JavaScript
Python
C++
Java
Python
Ruby
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnoR packagesyesnoyes
Triggersnonoyesnoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingShardingGraph Partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.Journaling StreamsnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoSQL Map-Reduce Frameworknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory journalingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlnoAccess rights according to SQL-standard and operating system based

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More resources
HeroicTeradata AsterTerminusDB infoformer name was DataChemistTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetUniData,UniVerse
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