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

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

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Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonSolr  Xexclude from comparisonSqrrl  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionOperational and transactional Enterprise NoSQL databaseA widely used distributed, scalable search engine based on Apache LuceneAdaptable, secure NoSQL built on Apache AccumuloA 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.
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Search engineDocument store
Graph DBMS
Key-value store
Wide column store
Relational 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
Websitewww.marklogic.comsolr.apache.orgsqrrl.comwww.tencentcloud.com/­products/­dcdb
Technical documentationdocs.marklogic.comsolr.apache.org/­resources.htmlwww.tencentcloud.com/­document/­product/­1042
DeveloperMarkLogic Corp.Apache Software FoundationAmazon infooriginally Sqrrl Data, Inc.Tencent
Initial release2001200620122013
Current release11.0, December 20229.5.0, February 2024
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen Source infoApache Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJava
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)Linuxhosted
Data schemeschema-free infoSchema can be enforcedyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-freeyes
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.yesyesno
Secondary indexesyesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLyes infoSQL92Solr Parallel SQL Interfacenoyes
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
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
JDBC
ODBC
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
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptJava pluginsnoyes
Triggersyesyes infoUser configurable commands triggered on index changesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infomaking use of HadoopAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesselectable replication factor infomaking use of HadoopMulti-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 reduceyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionoptimistic lockingAtomic updates per row, document, or graph entityACID
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 Indexesyesno
User concepts infoAccess controlRole-based access control at the document and subdocument levelsyesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Users with fine-grained authorization concept

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More resources
MarkLogicSolrSqrrlTDSQL for MySQL
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