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DBMS > EsgynDB vs. HugeGraph vs. Oracle Berkeley DB vs. ToroDB vs. UniData,UniVerse

System Properties Comparison EsgynDB vs. HugeGraph vs. Oracle Berkeley DB vs. ToroDB vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonToroDB  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA fast-speed and highly-scalable Graph DBMSWidely used in-process key-value storeA MongoDB-compatible JSON document store, built on top of PostgreSQLMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelRelational DBMSGraph DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document storeMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score2.85
Rank#98  Overall
#1  Multivalue DBMS
Websitewww.esgyn.cngithub.com/­hugegraph
hugegraph.apache.org
www.oracle.com/­database/­technologies/­related/­berkeleydb.htmlgithub.com/­torodb/­serverwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationhugegraph.apache.org/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperEsgynBaiduOracle infooriginally developed by Sleepycat, which was acquired by Oracle8KdataRocket Software
Initial release20152018199420161985
Current release0.918.1.40, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infocommercial license availableOpen Source infoAGPL-V3commercial
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 languageC++, JavaJavaC, Java, C++ (depending on the Berkeley DB edition)JavaC
Server operating systemsLinuxLinux
macOS
Unix
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
All OS with a Java 7 VMAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes infostring, integer, double, boolean, date, object_idoptional
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 indexesyesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLyesnoyes infoSQL interfaced based on SQLite is availableyes
APIs and other access methodsADO.NET
JDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetGroovy
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
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresJava Stored Proceduresasynchronous Gremlin script jobsnoyes
Triggersnonoyes infoonly for the SQL APInoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesvia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyes infoedges in graphnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID infoconfigurable
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.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissionsnoAccess rights for users and rolesAccess rights according to SQL-standard and operating system based

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More resources
EsgynDBHugeGraphOracle Berkeley DBToroDBUniData,UniVerse
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