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DBMS > HugeGraph vs. Immudb vs. Oracle Berkeley DB vs. Percona Server for MongoDB

System Properties Comparison HugeGraph vs. Immudb vs. Oracle Berkeley DB vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonImmudb  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Widely used in-process key-value storeA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelGraph DBMSKey-value storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.31
Rank#295  Overall
#42  Key-value stores
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Websitegithub.com/­hugegraph
hugegraph.apache.org
github.com/­codenotary/­immudb
immudb.io
www.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationhugegraph.apache.org/­docsdocs.immudb.iodocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.percona.com/­percona-distribution-for-mongodb
DeveloperBaiduCodenotaryOracle infooriginally developed by Sleepycat, which was acquired by OraclePercona
Initial release2018202019942015
Current release0.91.2.3, April 202218.1.40, May 20203.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infocommercial license availableOpen Source infoGPL Version 2
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.
Implementation languageJavaGoC, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemsLinux
macOS
Unix
BSD
Linux
macOS
Solaris
Windows
z/OS
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyes
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 infoonly with the Berkeley DB XML editionno
Secondary indexesyes infoalso supports composite index and range indexyesyesyes
SQL infoSupport of SQLnoSQL-like syntaxyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
gRPC protocol
PostgreSQL wire protocol
proprietary protocol using JSON
Supported programming languagesGroovy
Java
Python
.Net
Go
Java
JavaScript (Node.js)
Python
.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
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnonoJavaScript
Triggersnonoyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesnoyesyes infovia In-Memory Engine
User concepts infoAccess controlUsers, roles and permissionsnoAccess rights for users and roles

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More resources
HugeGraphImmudbOracle Berkeley DBPercona Server for MongoDB
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