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DBMS > BigObject vs. Neo4j vs. Realm vs. Tigris

System Properties Comparison BigObject vs. Neo4j vs. Realm vs. Tigris

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonNeo4j  Xexclude from comparisonRealm  Xexclude from comparisonTigris  Xexclude from comparison
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 offeringsA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedGraph DBMSDocument storeDocument store
Key-value store
Search engine
Time Series 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
Score7.60
Rank#52  Overall
#9  Document stores
Score0.02
Rank#369  Overall
#51  Document stores
#55  Key-value stores
#24  Search engines
#38  Time Series DBMS
Websitebigobject.ioneo4j.comrealm.iowww.tigrisdata.com
Technical documentationdocs.bigobject.ioneo4j.com/­docsrealm.io/­docswww.tigrisdata.com/­docs
DeveloperBigObject, Inc.Neo4j, Inc.Realm, acquired by MongoDB in May 2019Tigris Data, Inc.
Initial release2015200720142022
Current release5.20, May 2024
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoGPL version3, commercial licenses availableOpen SourceOpen Source infoApache Version 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, Scala
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
Android
Backend: server-less
iOS
Windows
Linux
macOS
Windows
Data schemeyesschema-free and schema-optionalyesyes
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.nonono
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonono
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
CLI Client
gRPC
RESTful HTTP API
Supported programming languages.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresLuayes infoUser defined Procedures and Functionsno inforuns within the applications so server-side scripts are unnecessaryno
Triggersnoyes infovia event handleryes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesnoneyes using Neo4j FabricnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlynoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes
Durability infoSupport for making data persistentyesyesyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-Memory realm
User concepts infoAccess controlnoUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)yesAccess rights for users and roles
More information provided by the system vendor
BigObjectNeo4jRealmTigris
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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