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DBMS > Dolt vs. GBase vs. Interbase vs. Neo4j

System Properties Comparison Dolt vs. GBase vs. Interbase vs. Neo4j

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Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonGBase  Xexclude from comparisonInterbase  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Light-weight proven RDBMS infooriginally from BorlandScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings
Primary database modelRelational DBMSRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.93
Rank#194  Overall
#90  Relational DBMS
Score1.11
Rank#173  Overall
#78  Relational DBMS
Score3.78
Rank#77  Overall
#41  Relational DBMS
Score42.68
Rank#21  Overall
#1  Graph DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
www.gbase.cnwww.embarcadero.com/­products/­interbaseneo4j.com
Technical documentationdocs.dolthub.comdocs.embarcadero.com/­products/­interbaseneo4j.com/­docs
DeveloperDoltHub IncGeneral Data Technology Co., Ltd.EmbarcaderoNeo4j, Inc.
Initial release2018200419842007
Current releaseGBase 8a, GBase 8s, GBase 8cInterBase 2020, December 20195.23, August 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoGPL version3, 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 languageGoC, Java, PythonCJava, Scala
Server operating systemsLinux
macOS
Windows
LinuxAndroid
iOS
Linux
OS X
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeyesyesyesschema-free and schema-optional
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.noyesno infoexport as XML data possible
Secondary indexesyesyesyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLyesStandard with numerous extensionsyesno
APIs and other access methodsCLI Client
HTTP REST
ADO.NET
C API
JDBC
ODBC
ADO.NET
JDBC
ODBC
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infocurrently in alpha releaseuser defined functionsyes infoInterbase procedure and trigger languageyes infoUser defined Procedures and Functions
Triggersyesyesyesyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash) and vertical partitioningnoneyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.yesInterbase Change ViewsCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integrityyesyesyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupyesfine grained access rights according to SQL-standardUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
DoltGBaseInterbaseNeo4j
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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