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DBMS > Newts vs. Postgres-XL vs. Quasardb vs. VoltDB

System Properties Comparison Newts vs. Postgres-XL vs. Quasardb vs. VoltDB

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Editorial information provided by DB-Engines
NameNewts  Xexclude from comparisonPostgres-XL  Xexclude from comparisonQuasardb  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionTime Series DBMS based on CassandraBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresDistributed, high-performance timeseries databaseDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websiteopennms.github.io/­newtswww.postgres-xl.orgquasar.aiwww.voltdb.com
Technical documentationgithub.com/­OpenNMS/­newts/­wikiwww.postgres-xl.org/­documentationdoc.quasar.ai/­masterdocs.voltdb.com
DeveloperOpenNMS GroupquasardbVoltDB Inc.
Initial release20142014 infosince 2012, originally named StormDB20092010
Current release10 R1, October 20183.14.1, January 202411.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMozilla public licensecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++Java, C++
Server operating systemsLinux
OS X
Windows
Linux
macOS
BSD
Linux
OS X
Windows
Linux
OS X infofor development
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes
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.noyes infoXML type, but no XML query functionalityno
Secondary indexesnoyesyes infowith tagsyes
SQL infoSupport of SQLnoyes infodistributed, parallel query executionSQL-like query languageyes infoonly a subset of SQL 99
APIs and other access methodsHTTP REST
Java API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP APIJava API
JDBC
RESTful HTTP/JSON API
Supported programming languagesJava.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsnoJava
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrahorizontal partitioningSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replication with selectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoMVCCACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient mode
User concepts infoAccess controlnofine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailUsers and roles with access to stored procedures

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More resources
NewtsPostgres-XLQuasardbVoltDB
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