DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Infobright vs. Neo4j vs. Oracle Berkeley DB

System Properties Comparison Infobright vs. Neo4j vs. Oracle Berkeley DB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameInfobright  Xexclude from comparisonNeo4j  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsWidely used in-process key-value store
Primary database modelRelational DBMSGraph DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.81
Rank#204  Overall
#96  Relational DBMS
Score46.15
Rank#20  Overall
#1  Graph DBMS
Score1.74
Rank#129  Overall
#21  Key-value stores
#3  Native XML DBMS
Websiteignitetech.com/­softwarelibrary/­infobrightdbneo4j.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationneo4j.com/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperIgnite Technologies Inc.; formerly InfoBright Inc.Neo4j, Inc.Oracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release200520071994
Current release5.23, August 202418.1.40, May 2020
License infoCommercial or Open Sourcecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source infoGPL version3, commercial licenses availableOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava, ScalaC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateyesyesno
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.noyes infoonly with the Berkeley DB XML edition
Secondary indexesno infoKnowledge Grid Technology used insteadyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLyesnoyes infoSQL interfaced based on SQLite is available
APIs and other access methodsADO.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 languages.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresnoyes infoUser defined Procedures and Functionsno
Triggersnoyes infovia event handleryes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesnoneyes using Neo4j Fabricnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)no
More information provided by the system vendor
InfobrightNeo4jOracle Berkeley DB
News

How to Build a Knowledge Graph in 7 Steps
12 March 2025

Function Calling in Agentic Workflows
12 March 2025

Knowledge Graph Extraction and Challenges
10 March 2025

Build AI Agents With Google’s Gen AI Toolbox and Neo4j Knowledge Graphs
10 March 2025

What Is Data Lineage? Tracking Data Through Enterprise Systems
7 March 2025

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
InfobrightNeo4jOracle Berkeley DB
DB-Engines blog posts

Applying Graph Analytics to Game of Thrones
12 June 2019, Amy Hodler & Mark Needham, Neo4j (guest author)

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

The openCypher Project: Help Shape the SQL for Graphs
22 December 2015, Emil Eifrem (guest author)

show all

Recent citations in the news

Fig. 1. Sample size in megabytes (left scale) in the form of InfoBright...
8 September 2018, ResearchGate

provided by Google News

Fueling real-time recommendations using a graph-based approach for complex data relationships
13 March 2025, AWS Blog

Swedish company accelerates toward IPO with $50M investment at $2B valuation - ArcticStartup
28 November 2024, ArcticStartup

Data Science Firm Neo4j Reportedly Prepping IPO
19 November 2024, PYMNTS.com

Neo4j Transforms Its Cloud Database Portfolio to Accelerate Graph Adoption & GenAI for the Enterprise
4 September 2024, PR Newswire

Free Software Foundation rides to defend AGPLv3 against Neo4j license add-ons
4 March 2025, The Register

provided by Google News

Fedora Looking To Transition The RPM Database From Berkeley DB To SQLite
16 March 2020, Phoronix

Figure 7 summarizes the design of Berkeley DB when using forward...
11 September 2018, ResearchGate

ACM recognizes far-reaching technical achievements with special awards
26 May 2021, EurekAlert

Which Are the Top Local Databases for React Native
15 October 2019, Appinventiv

Get The Basics On NoSQL Databases: XML Databases
31 March 2018, Forbes

provided by Google News



Share this page

Featured Products

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Present your product here