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DBMS > HugeGraph vs. Oracle Berkeley DB vs. RavenDB vs. STSdb vs. ToroDB

System Properties Comparison HugeGraph vs. Oracle Berkeley DB vs. RavenDB vs. STSdb vs. ToroDB

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRavenDB  Xexclude from comparisonSTSdb  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA fast-speed and highly-scalable Graph DBMSWidely used in-process key-value storeOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelGraph DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document storeKey-value storeDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.oracle.com/­database/­technologies/­related/­berkeleydb.htmlravendb.netgithub.com/­STSSoft/­STSdb4github.com/­torodb/­server
Technical documentationhugegraph.apache.org/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlravendb.net/­docs
DeveloperBaiduOracle infooriginally developed by Sleepycat, which was acquired by OracleHibernating RhinosSTS Soft SC8Kdata
Initial release20181994201020112016
Current release0.918.1.40, May 20205.4, July 20224.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infocommercial license availableOpen Source infoAGPL version 3, commercial license availableOpen Source infoGPLv2, commercial license availableOpen Source infoAGPL-V3
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, Java, C++ (depending on the Berkeley DB edition)C#C#Java
Server operating systemsLinux
macOS
Unix
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
macOS
Raspberry Pi
Windows
WindowsAll OS with a Java 7 VM
Data schemeyesschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnonoyes infoprimitive types and user defined types (classes)yes infostring, integer, double, boolean, date, object_id
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 editionno
Secondary indexesyes infoalso supports composite index and range indexyesyesno
SQL infoSupport of SQLnoyes infoSQL interfaced based on SQLite is availableSQL-like query language (RQL)no
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
.NET Client API
Supported programming languagesGroovy
Java
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
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnoyesno
Triggersnoyes infoonly for the SQL APIyesnono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationMulti-source replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID, Cluster-wide transaction availablenono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlUsers, roles and permissionsnoAuthorization levels configured per client per databasenoAccess rights for users and roles

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More resources
HugeGraphOracle Berkeley DBRavenDBSTSdbToroDB
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