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DBMS > EXASOL vs. HugeGraph vs. JaguarDB vs. Oracle Berkeley DB vs. Postgres-XL

System Properties Comparison EXASOL vs. HugeGraph vs. JaguarDB vs. Oracle Berkeley DB vs. Postgres-XL

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonHugeGraph  Xexclude from comparisonJaguarDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A fast-speed and highly-scalable Graph DBMSPerformant, highly scalable DBMS for AI and IoT applicationsWidely used in-process key-value storeBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSGraph DBMSKey-value store
Vector DBMS
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websitewww.exasol.comgithub.com/­hugegraph
hugegraph.apache.org
www.jaguardb.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.postgres-xl.org
Technical documentationwww.exasol.com/­resourceshugegraph.apache.org/­docswww.jaguardb.com/­support.htmldocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.postgres-xl.org/­documentation
DeveloperExasolBaiduDataJaguar, Inc.Oracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release20002018201519942014 infosince 2012, originally named StormDB
Current release0.93.3 July 202318.1.40, May 202010 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPL V3.0Open Source infocommercial license availableOpen Source infoMozilla public license
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++ infothe server part. Clients available in other languagesC, Java, C++ (depending on the Berkeley DB edition)C
Server operating systemsLinux
macOS
Unix
LinuxAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
macOS
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nononoyes infoonly with the Berkeley DB XML editionyes infoXML type, but no XML query functionality
Secondary indexesyesyes infoalso supports composite index and range indexyesyesyes
SQL infoSupport of SQLyesnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infoSQL interfaced based on SQLite is availableyes infodistributed, parallel query execution
APIs and other access methods.Net
JDBC
ODBC
WebSocket
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJava
Lua
Python
R
Groovy
Java
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.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
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresuser defined functionsasynchronous Gremlin script jobsnonouser defined functions
Triggersyesnonoyes infoonly for the SQL APIyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationvia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoedges in graphnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID infoMVCC
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.yesyesnoyesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardUsers, roles and permissionsrights management via user accountsnofine grained access rights according to SQL-standard

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More resources
EXASOLHugeGraphJaguarDBOracle Berkeley DBPostgres-XL
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