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DBMS > BigchainDB vs. Neo4j vs. openGauss vs. Teradata

System Properties Comparison BigchainDB vs. Neo4j vs. openGauss vs. Teradata

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonNeo4j  Xexclude from comparisonopenGauss  Xexclude from comparisonTeradata  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 offeringsAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelDocument storeGraph DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score44.89
Rank#21  Overall
#1  Graph DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitewww.bigchaindb.comneo4j.comgitee.com/­opengauss
opengauss.org
www.teradata.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestneo4j.com/­docsdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
docs.teradata.com
DeveloperNeo4j, Inc.Huawei and openGauss communityTeradata
Initial release2016200720191984
Current release5.20, May 20243.0, March 2022Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoGPL version3, commercial licenses availableOpen Sourcecommercial
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, ScalaC, C++, Java
Server operating systemsLinuxLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linuxhosted
Linux
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.nonoyes
Secondary indexesyes infopluggable indexing subsystem, by default Apache Luceneyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnonoANSI SQL 2011yes infoSQL 2016 + 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
JDBC
ODBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C
C++
Java
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyes infoUser defined Procedures and Functionsyesyes infoUDFs, stored procedures, table functions in parallel
Triggersyes infovia event handleryesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes using Neo4j Fabrichorizontal partitioning (by range, list and hash)Sharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlySource-replica replicationMulti-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
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlyesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Access rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
BigchainDBNeo4jopenGaussTeradata
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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