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DBMS > BigObject vs. Neo4j vs. PouchDB vs. Trafodion

System Properties Comparison BigObject vs. Neo4j vs. PouchDB vs. Trafodion

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonNeo4j  Xexclude from comparisonPouchDB  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAnalytic DBMS for real-time computations and queriesScalable, 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 CouchDBTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedGraph DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score44.46
Rank#23  Overall
#1  Graph DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Websitebigobject.ioneo4j.compouchdb.comtrafodion.apache.org
Technical documentationdocs.bigobject.ioneo4j.com/­docspouchdb.com/­guidestrafodion.apache.org/­documentation.html
DeveloperBigObject, Inc.Neo4j, Inc.Apache Software FoundationApache Software Foundation, originally developed by HP
Initial release2015200720122014
Current release5.19, April 20247.1.1, June 20192.3.0, February 2019
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoGPL version3, commercial licenses availableOpen SourceOpen Source infoApache 2.0
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 languageJava, ScalaJavaScriptC++, Java
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
Data schemeyesschema-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.nonono
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyes infovia viewsyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
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
ADO.NET
JDBC
ODBC
Supported programming languages.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
JavaScriptAll languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresLuayes infoUser defined Procedures and FunctionsView functions in JavaScriptJava Stored Procedures
Triggersnoyes infovia event handleryesno
Partitioning methods infoMethods for storing different data on different nodesnoneyes using Neo4j FabricSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes
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.yesyesno
User concepts infoAccess controlnoUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)nofine grained access rights according to SQL-standard
More information provided by the system vendor
BigObjectNeo4jPouchDBTrafodion
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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