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DBMS > Databricks vs. Elasticsearch vs. MarkLogic vs. Teradata Aster vs. TigerGraph

System Properties Comparison Databricks vs. Elasticsearch vs. MarkLogic vs. Teradata Aster vs. TigerGraph

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonElasticsearch  Xexclude from comparisonMarkLogic  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTigerGraph  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A 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 databasePlatform for big data analytics on multistructured data sources and typesA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument store
Relational DBMS
Search engineDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score135.35
Rank#7  Overall
#1  Search engines
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitewww.databricks.comwww.elastic.co/­elasticsearchwww.marklogic.comwww.tigergraph.com
Technical documentationdocs.databricks.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.marklogic.comdocs.tigergraph.com
DeveloperDatabricksElasticMarkLogic Corp.Teradata
Initial release20132010200120052017
Current release8.6, January 202311.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoElastic Licensecommercial inforestricted free version is availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++
Server operating systemshostedAll OS with a Java VMLinux
OS X
Windows
LinuxLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free infoSchema can be enforcedFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyes
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.yesnoyesyes infoin Aster File Storeno
Secondary indexesyesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLwith Databricks SQLSQL-like query languageyes infoSQL92yesSQL-like query language (GSQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java 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
ADO.NET
JDBC
ODBC
OLE DB
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesPython
R
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Java
Python
R
C++
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesyes infovia XQuery or JavaScriptR packagesyes
Triggersyes infoby using the 'percolation' featureyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyesyes 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 jobsyes infoSQL Map-Reduce Frameworkyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infocan act as a resource manager in an XA/JTA transactionACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integrationyes, with Range Indexesnono
User concepts infoAccess controlRole-based access control at the document and subdocument levelsfine grained access rights according to SQL-standardRole-based access control
More information provided by the system vendor
DatabricksElasticsearchMarkLogicTeradata AsterTigerGraph
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksElasticsearchMarkLogicTeradata AsterTigerGraph
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