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DBMS > Datomic vs. EsgynDB vs. H2GIS vs. NuoDB vs. Oracle Berkeley DB

System Properties Comparison Datomic vs. EsgynDB vs. H2GIS vs. NuoDB vs. Oracle Berkeley DB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonEsgynDB  Xexclude from comparisonH2GIS  Xexclude from comparisonNuoDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionSpatial extension of H2NuoDB is a webscale distributed database that supports SQL and ACID transactionsWidely used in-process key-value store
Primary database modelRelational DBMSRelational DBMSSpatial DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score0.89
Rank#198  Overall
#92  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Websitewww.datomic.comwww.esgyn.cnwww.h2gis.orgwww.3ds.com/­nuodb-distributed-sql-databasewww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationdocs.datomic.comwww.h2gis.org/­docs/­homedoc.nuodb.comdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperCognitectEsgynCNRSDassault Systèmes infooriginally NuoDB, Inc.Oracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release20122015201320131994
Current release1.0.6735, June 202318.1.40, May 2020
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoLGPL 3.0commercial infolimited edition freeOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++, JavaJavaC++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsAll OS with a Java VMLinuxhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonononoyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoyesyesyesyes infoSQL interfaced based on SQLite is available
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesClojure
Java
All languages supporting JDBC/ODBC/ADO.NetJava.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
.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
Server-side scripts infoStored proceduresyes infoTransaction FunctionsJava Stored Proceduresyes infobased on H2Java, SQLno
TriggersBy using transaction functionsnoyesyesyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnonedata is dynamically stored/cached on the nodes where it is read/writtennone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication between multi datacentersyes infobased on H2yes infoManaged transparently by NuoDBSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infotunable commit protocolACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes infoMVCC
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnoyesyes infoTemporary tableyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardyes infobased on H2Standard SQL roles/ privileges, Administrative Usersno

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More resources
DatomicEsgynDBH2GISNuoDBOracle Berkeley DB
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