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DBMS > HugeGraph vs. Immudb vs. Percona Server for MongoDB vs. VoltDB

System Properties Comparison HugeGraph vs. Immudb vs. Percona Server for MongoDB vs. VoltDB

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonImmudb  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonVoltDB  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.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.Distributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelGraph DBMSKey-value storeDocument storeRelational DBMS
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
Score0.60
Rank#246  Overall
#39  Document stores
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
github.com/­codenotary/­immudb
immudb.io
www.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.voltdb.com
Technical documentationhugegraph.apache.org/­docsdocs.immudb.iodocs.percona.com/­percona-distribution-for-mongodbdocs.voltdb.com
DeveloperBaiduCodenotaryPerconaVoltDB Inc.
Initial release2018202020152010
Current release0.91.2.3, April 20223.4.10-2.10, November 201711.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoGPL Version 2Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC++Java, C++
Server operating systemsLinux
macOS
Unix
BSD
Linux
macOS
Solaris
Windows
z/OS
LinuxLinux
OS X infofor development
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyes infoalso supports composite index and range indexyesyesyes
SQL infoSupport of SQLnoSQL-like syntaxnoyes infoonly a subset of SQL 99
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
gRPC protocol
PostgreSQL wire protocol
proprietary protocol using JSONJava API
JDBC
RESTful HTTP/JSON API
Supported programming languagesGroovy
Java
Python
.Net
Go
Java
JavaScript (Node.js)
Python
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
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnoJavaScriptJava
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnonono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infovia In-Memory Engine
User concepts infoAccess controlUsers, roles and permissionsAccess rights for users and rolesUsers and roles with access to stored procedures

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More resources
HugeGraphImmudbPercona Server for MongoDBVoltDB
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