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DBMS > Newts vs. Oracle Coherence vs. Quasardb vs. Splice Machine vs. Valentina Server

System Properties Comparison Newts vs. Oracle Coherence vs. Quasardb vs. Splice Machine vs. Valentina Server

Editorial information provided by DB-Engines
NameNewts  Xexclude from comparisonOracle Coherence  Xexclude from comparisonQuasardb  Xexclude from comparisonSplice Machine  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionTime Series DBMS based on CassandraOracles in-memory data grid solutionDistributed, high-performance timeseries databaseOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkObject-relational database and reports server
Primary database modelTime Series DBMSKey-value storeTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websiteopennms.github.io/­newtswww.oracle.com/­java/­coherencequasar.aisplicemachine.comwww.valentina-db.net
Technical documentationgithub.com/­OpenNMS/­newts/­wikidocs.oracle.com/­en/­middleware/­standalone/­coherencedoc.quasar.ai/­mastersplicemachine.com/­how-it-worksvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperOpenNMS GroupOraclequasardbSplice MachineParadigma Software
Initial release20142007200920141999
Current release14.1, August 20233.14.1, January 20243.1, March 20215.7.5
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++Java
Server operating systemsLinux
OS X
Windows
All OS with a Java VMBSD
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyesyes
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.nonono
Secondary indexesnonoyes infowith tagsyesyes
SQL infoSupport of SQLnonoSQL-like query languageyesyes
APIs and other access methodsHTTP REST
Java API
JCache
JPA
RESTful HTTP API
HTTP APIJDBC
Native Spark Datasource
ODBC
ODBC
Supported programming languagesJava.Net
C++
Java
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnononoyes infoJavayes
Triggersnoyes infoLive Eventsnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingSharding infoconsistent hashingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes, with selectable consistency levelSource-replica replication with selectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoconfigurableACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infooptionallyyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient modeyesyes
User concepts infoAccess controlnoauthentification to access the cache via certificates or http basic authenticationCryptographically strong user authentication and audit trailAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
NewtsOracle CoherenceQuasardbSplice MachineValentina Server
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