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DBMS > MarkLogic vs. Solr vs. TDSQL for MySQL vs. TigerGraph

System Properties Comparison MarkLogic vs. Solr vs. TDSQL for MySQL vs. TigerGraph

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Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonSolr  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionOperational and transactional Enterprise NoSQL databaseA widely used distributed, scalable search engine based on Apache LuceneA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Search engineRelational DBMSGraph DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
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
Score42.91
Rank#24  Overall
#3  Search engines
Score0.85
Rank#205  Overall
#95  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitewww.marklogic.comsolr.apache.orgwww.tencentcloud.com/­products/­dcdbwww.tigergraph.com
Technical documentationdocs.marklogic.comsolr.apache.org/­resources.htmlwww.tencentcloud.com/­document/­product/­1042docs.tigergraph.com
DeveloperMarkLogic Corp.Apache Software FoundationTencent
Initial release2001200620132017
Current release11.0, December 20229.6.0, April 2024
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen Source infoApache Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++
Server operating systemsLinux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)hostedLinux
Data schemeschema-free infoSchema can be enforcedyes infoDynamic Fields enables on-the-fly addition of new fieldsyesyes
Typing infopredefined data types such as float or dateyesyes infosupports customizable data types and automatic typingyesyes
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.yesyesnono
Secondary indexesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLyes infoSQL92Solr Parallel SQL InterfaceyesSQL-like query language (GSQL)
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
Java API
RESTful HTTP/JSON API
JDBC
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C
C#
C++
Java
PHP
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptJava pluginsyesyes
Triggersyesyes infoUser configurable commands triggered on index changesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionoptimistic lockingACIDACID
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.yes, with Range Indexesyesnono
User concepts infoAccess controlRole-based access control at the document and subdocument levelsyesUsers with fine-grained authorization conceptRole-based access control

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More resources
MarkLogicSolrTDSQL for MySQLTigerGraph
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