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DBMS > Heroic vs. MarkLogic vs. STSdb vs. Teradata

System Properties Comparison Heroic vs. MarkLogic vs. STSdb vs. Teradata

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonMarkLogic  Xexclude from comparisonSTSdb  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchOperational and transactional Enterprise NoSQL databaseKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelTime Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Key-value storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score4.15
Rank#70  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Score0.03
Rank#365  Overall
#54  Key-value stores
Score41.47
Rank#22  Overall
#15  Relational DBMS
Websitegithub.com/­spotify/­heroicwww.progress.com/­marklogicgithub.com/­STSSoft/­STSdb4www.teradata.com
Technical documentationspotify.github.io/­heroicwww.progress.com/­marklogic/­documentationdocs.teradata.com
DeveloperSpotifyMarkLogic Corp.STS Soft SCTeradata
Initial release2014200120111984
Current release11.0, December 20224.0.8, September 2015Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial inforestricted free version is availableOpen Source infoGPLv2, commercial license availablecommercial
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++C#
Server operating systemsLinux
OS X
Windows
Windowshosted
Linux
Data schemeschema-freeschema-free infoSchema can be enforcedyesyes
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)yes
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.noyesyes
Secondary indexesyes infovia Elasticsearchyesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoyes infoSQL92noyes infoSQL 2016 + extensions
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
.NET Client API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnoyes infovia XQuery or JavaScriptnoyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infocan act as a resource manager in an XA/JTA transactionnoACID
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, with Range Indexesyes
User concepts infoAccess controlRole-based access control at the document and subdocument levelsnofine grained access rights according to SQL-standard

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More resources
HeroicMarkLogicSTSdbTeradata
DB-Engines blog posts

Teradata is the most popular data warehouse DBMS
2 April 2013, Paul Andlinger

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Conferences, events and webinars

Progress MarkLogic World
Washington DC, 23-25 September 2024

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