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DBMS > Datomic vs. HyperSQL vs. Newts vs. Oracle Berkeley DB vs. Quasardb

System Properties Comparison Datomic vs. HyperSQL vs. Newts vs. Oracle Berkeley DB vs. Quasardb

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonNewts  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBTime Series DBMS based on CassandraWidely used in-process key-value storeDistributed, high-performance timeseries database
Primary database modelRelational DBMSRelational DBMSTime Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitewww.datomic.comhsqldb.orgopennms.github.io/­newtswww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlquasar.ai
Technical documentationdocs.datomic.comhsqldb.org/­web/­hsqlDocsFrame.htmlgithub.com/­OpenNMS/­newts/­wikidocs.oracle.com/­cd/­E17076_05/­html/­index.htmldoc.quasar.ai/­master
DeveloperCognitectOpenNMS GroupOracle infooriginally developed by Sleepycat, which was acquired by Oraclequasardb
Initial release20122001201419942009
Current release1.0.6735, June 20232.7.2, June 202318.1.40, May 20203.14.1, January 2024
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infobased on BSD licenseOpen Source infoApache 2.0Open Source infocommercial license availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaJavaC, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemsAll OS with a Java VMAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
BSD
Linux
OS X
Windows
Data schemeyesyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnoyes infointeger and binary
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 editionno
Secondary indexesyesyesnoyesyes infowith tags
SQL infoSupport of SQLnoyesnoyes infoSQL interfaced based on SQLite is availableSQL-like query language
APIs and other access methodsRESTful HTTP APIHTTP API infoJDBC via HTTP
JDBC
ODBC
HTTP REST
Java API
HTTP API
Supported programming languagesClojure
Java
All languages supporting JDBC/ODBC
Java
Java.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#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes infoTransaction FunctionsJava, SQLnonono
TriggersBy using transaction functionsyesnoyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneSharding infobased on CassandranoneSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnoneselectable replication factor infobased on CassandraSource-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes infoby using LevelDB
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 developmentyesnoyesyes infoTransient mode
User concepts infoAccess controlnofine grained access rights according to SQL-standardnonoCryptographically strong user authentication and audit trail

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More resources
DatomicHyperSQL infoalso known as HSQLDBNewtsOracle Berkeley DBQuasardb
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