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DBMS > Elasticsearch vs. MarkLogic vs. Sadas Engine vs. Teradata Aster

System Properties Comparison Elasticsearch vs. MarkLogic vs. Sadas Engine vs. Teradata Aster

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonMarkLogic  Xexclude from comparisonSadas Engine  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricOperational 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 types
Primary database modelSearch engineDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score158.25
Rank#8  Overall
#1  Search engines
Score9.43
Rank#49  Overall
#7  Document stores
#1  Native XML DBMS
#1  RDF stores
#4  Search engines
Score0.00
Rank#351  Overall
#146  Relational DBMS
Websitewww.elastic.co/­elasticsearchwww.marklogic.comwww.sadasengine.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.marklogic.comwww.sadasengine.com/­index.php/­downloads/­documentation-columnar-db
DeveloperElasticMarkLogic Corp.SADAS s.r.l.Teradata
Initial release2010200120062005
Current release7.8.0, June 20209.0, 20178.0
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic Licensecommercial inforestricted free version is availablecommercial infofree trial version 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 systemsAll OS with a Java VMLinux
OS X
Windows
AIX
Linux
Windows
Linux
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-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 Store
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesnoyes infoin Aster File Store
Secondary indexesyes infoAll search fields are automatically indexedyesyesyes
SQL infoSupport of SQLSQL-like query languageyes infoSQL92yesyes
APIs and other access methodsJava API
RESTful HTTP/JSON 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
JDBC
ODBC
Proprietary protocol
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyesyes infovia XQuery or JavaScriptnoR packages
Triggersyes infoby using the 'percolation' featureyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infocan act as a resource manager in an XA/JTA transactionACID
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.Memcached and Redis integrationyes, 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-standard
More information provided by the system vendor
ElasticsearchMarkLogicSadas EngineTeradata Aster
Specific characteristicsThe MarkLogic Multi-Model Database provides the simplest way to integrate data from...
» more
Competitive advantagesThe main benefit of MarkLogic is simplicity. By making things simpler, MarkLogic...
» more
Typical application scenariosMarkLogic’s main use case is the Operational Data Hub . A Data Hub is useful for...
» more
Key customersMarkLogic has proven results managing mission-critical data with over 1,000 global...
» more
Market metricsMarkLogic is well known within the Fortune 1000, with a strong presence in financial...
» more
Licensing and pricing modelsMarkLogic provides a variety of licenses and cloud services: MarkLogic Data Hub Service...
» more

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More resources
ElasticsearchMarkLogicSadas EngineTeradata Aster
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