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DBMS > BigchainDB vs. Neo4j vs. TerminusDB vs. Vitess

System Properties Comparison BigchainDB vs. Neo4j vs. TerminusDB vs. Vitess

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonNeo4j  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelDocument storeGraph DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
RDF store
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score44.46
Rank#23  Overall
#1  Graph DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitewww.bigchaindb.comneo4j.comterminusdb.comvitess.io
Technical documentationbigchaindb.readthedocs.io/­en/­latestneo4j.com/­docsterminusdb.github.io/­terminusdb/­#vitess.io/­docs
DeveloperNeo4j, Inc.DataChemist Ltd.The Linux Foundation, PlanetScale
Initial release2016200720182013
Current release5.19, April 202411.0.0, January 202315.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoGPL version3, commercial licenses availableOpen Source infoGPL V3Open Source infoApache Version 2.0, commercial licenses 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 languagePythonJava, ScalaProlog, RustGo
Server operating systemsLinuxLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
LinuxDocker
Linux
macOS
Data schemeschema-freeschema-free and schema-optionalyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nono
Secondary indexesyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLnonoSQL-like query language (WOQL)yes infowith proprietary extensions
APIs and other access methodsCLI Client
RESTful HTTP API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
JavaScript
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infoUser defined Procedures and Functionsyesyes infoproprietary syntax
Triggersyes infovia event handleryesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes using Neo4j FabricGraph PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyJournaling StreamsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyes infoRelationships in graphsyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlyesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Role-based access controlUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
BigchainDBNeo4jTerminusDB infoformer name was DataChemistVitess
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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13 May 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
BigchainDBNeo4jTerminusDB infoformer name was DataChemistVitess
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PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
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