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DBMS > MarkLogic vs. Sadas Engine vs. Teradata Aster vs. UniData,UniVerse vs. XTDB

System Properties Comparison MarkLogic vs. Sadas Engine vs. Teradata Aster vs. UniData,UniVerse vs. XTDB

Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonSadas Engine  Xexclude from comparisonTeradata Aster  Xexclude from comparisonUniData,UniVerse  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionOperational and transactional Enterprise NoSQL databaseSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsPlatform for big data analytics on multistructured data sources and typesMultiValue database and application server with SQL mapping layer and meta database capabilitiesA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSRelational DBMSMultivalue DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitewww.marklogic.comwww.sadasengine.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidatagithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.marklogic.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidatawww.xtdb.com/­docs
DeveloperMarkLogic Corp.SADAS s.r.l.TeradataRocket SoftwareJuxt Ltd.
Initial release20012006200519852019
Current release11.0, December 20228.01.19, September 2021
License infoCommercial or Open Sourcecommercial inforestricted free version is availablecommercial infofree trial version availablecommercialcommercialOpen Source infoMIT License
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 languageC++C++CClojure
Server operating systemsLinux
OS X
Windows
AIX
Linux
Windows
LinuxAIX
HP-UX
Linux
Solaris
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-free infoSchema can be enforcedyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesoptionalyes, extensible-data-notation format
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.yesnoyes infoin Aster File Storeno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infoSQL92yesyesyeslimited SQL, making use of Apache Calcite
APIs and other access methodsJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
JDBC
ODBC
Proprietary protocol
ADO.NET
JDBC
ODBC
OLE DB
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
HTTP REST
JDBC
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C#
C++
Java
Python
R
.Net
Basic infoU2 Basic
C
Java
Clojure
Java
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptnoR packagesyesno
Triggersyesnonoyes infoU2 Basicno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.Source-replica replicationyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnoyes infoSQL Map-Reduce Frameworknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionACIDACID infoconfigurableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, with Range Indexesyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlRole-based access control at the document and subdocument levelsAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardAccess rights according to SQL-standard and operating system based

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More resources
MarkLogicSadas EngineTeradata AsterUniData,UniVerseXTDB infoformerly named Crux
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