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DBMS > HugeGraph vs. KeyDB vs. MonetDB vs. Postgres-XL vs. Sadas Engine

System Properties Comparison HugeGraph vs. KeyDB vs. MonetDB vs. Postgres-XL vs. Sadas Engine

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonKeyDB  Xexclude from comparisonMonetDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsA relational database management system that stores data in columnsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelGraph DBMSKey-value storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
github.com/­Snapchat/­KeyDB
keydb.dev
www.monetdb.orgwww.postgres-xl.orgwww.sadasengine.com
Technical documentationhugegraph.apache.org/­docsdocs.keydb.devwww.monetdb.org/­Documentationwww.postgres-xl.org/­documentationwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperBaiduEQ Alpha Technology Ltd.MonetDB BVSADAS s.r.l.
Initial release2018201920042014 infosince 2012, originally named StormDB2006
Current release0.9Dec2023 (11.49), December 202310 R1, October 20188.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSD-3Open Source infoMozilla Public License 2.0Open Source infoMozilla public licensecommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++CCC++
Server operating systemsLinux
macOS
Unix
LinuxFreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
AIX
Linux
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyesyes
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 infoXML type, but no XML query functionalityno
Secondary indexesyes infoalso supports composite index and range indexyes infoby using the Redis Search moduleyesyesyes
SQL infoSupport of SQLnonoyes infoSQL 2003 with some extensionsyes infodistributed, parallel query executionyes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
Proprietary protocol infoRESP - REdis Serialization ProtocoJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Proprietary protocol
Supported programming languagesGroovy
Java
Python
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsLuayes, in SQL, C, Ruser defined functionsno
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding via remote tableshorizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication
Source-replica replication
none infoSource-replica replication available in experimental statusnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDOptimistic locking, atomic execution of commands blocks and scriptsACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlUsers, roles and permissionssimple password-based access control and ACLfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
HugeGraphKeyDBMonetDBPostgres-XLSadas Engine
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