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DBMS > Newts vs. Oracle Berkeley DB vs. Quasardb

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

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Editorial information provided by DB-Engines
NameNewts  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionTime Series DBMS based on CassandraWidely used in-process key-value storeDistributed, high-performance timeseries database
Primary database modelTime 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
Score0.00
Rank#348  Overall
#33  Time Series DBMS
Score2.78
Rank#100  Overall
#19  Key-value stores
#3  Native XML DBMS
Score0.25
Rank#278  Overall
#22  Time Series DBMS
Websiteopennms.github.io/­newtswww.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.htmlquasardb.net
Technical documentationgithub.com/­OpenNMS/­newts/­wikidocs.oracle.com/­cd/­E17076_05/­html/­index.htmldoc.quasardb.net
DeveloperOpenNMS GroupOracle infooriginally developed by Sleepycat, which was acquired by Oraclequasardb
Initial release201419942009
Current release18.1.40, May 20203.1, January 2019
License infoCommercial or Open SourceOpen 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 servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemsLinux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
BSD
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyes 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.noyes infoonly with the Berkeley DB XML editionno
Secondary indexesnoyesyes infowith tags
SQL infoSupport of SQLnoyes infoSQL interfaced based on SQLite is availableSQL-like query language
APIs and other access methodsHTTP REST
Java API
HTTP API
Supported programming languagesJava.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 proceduresnonono
Triggersnoyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandranoneSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient mode
User concepts infoAccess controlnonoCryptographically strong user authentication and audit trail
More information provided by the system vendor
NewtsOracle Berkeley DBQuasardb
Specific characteristicsHigh-performance , high-speed, fully integrated timeseries database Seamlessly combines...
» more
Competitive advantagesHigh performance in a cost-effective small package Real-time results for even large...
» more
Typical application scenariosTick database Predictive maintenance Pre-deal checks Large scale monitoring
» more
Key customersLarge EU investment banks US based hedge funds Orolia Tellmeplus
» more
Market metricsHas been running in very demanding production environments since 2013 Rapid adoption...
» more
Licensing and pricing modelsCommunity edition limited to 2 nodes and 16 GiB of storage per node available for...
» more

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NewtsOracle Berkeley DBQuasardb
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