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DBMS > MarkLogic vs. Neo4j vs. PouchDB vs. Sadas Engine

System Properties Comparison MarkLogic vs. Neo4j vs. PouchDB vs. Sadas Engine

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Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonNeo4j  Xexclude from comparisonPouchDB  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionOperational and transactional Enterprise NoSQL databaseScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsJavaScript DBMS with an API inspired by CouchDBSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Graph DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.50
Rank#56  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#5  Search engines
Score44.47
Rank#23  Overall
#1  Graph DBMS
Score2.35
Rank#116  Overall
#22  Document stores
Score0.03
Rank#379  Overall
#156  Relational DBMS
Websitewww.marklogic.comneo4j.compouchdb.comwww.sadasengine.com
Technical documentationdocs.marklogic.comneo4j.com/­docspouchdb.com/­guideswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperMarkLogic Corp.Neo4j, Inc.Apache Software FoundationSADAS s.r.l.
Initial release2001200720122006
Current release11.0, December 20225.18.1, March 20247.1.1, June 20198.0
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen Source infoGPL version3, commercial licenses availableOpen Sourcecommercial infofree trial version available
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.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageC++Java, ScalaJavaScriptC++
Server operating systemsLinux
OS X
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)AIX
Linux
Windows
Data schemeschema-free infoSchema can be enforcedschema-free and schema-optionalschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.yesnono
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyes infovia viewsyes
SQL infoSupport of SQLyes infoSQL92nonoyes
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
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
HTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
JavaScript.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptyes infoUser defined Procedures and FunctionsView functions in JavaScriptno
Triggersyesyes infovia event handleryesno
Partitioning methods infoMethods for storing different data on different nodesShardingyes using Neo4j FabricSharding infowith a proxy-based framework, named couchdb-loungehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, with Range Indexesyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlRole-based access control at the document and subdocument levelsUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)noAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
MarkLogicNeo4jPouchDBSadas Engine
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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