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DBMS > Newts vs. Quasardb vs. Sequoiadb vs. Spark SQL

System Properties Comparison Newts vs. Quasardb vs. Sequoiadb vs. Spark SQL

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Editorial information provided by DB-Engines
NameNewts  Xexclude from comparisonQuasardb  Xexclude from comparisonSequoiadb  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionTime Series DBMS based on CassandraDistributed, high-performance timeseries databaseNewSQL database with distributed OLTP and SQLSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSTime Series DBMSDocument store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Score0.48
Rank#260  Overall
#41  Document stores
#121  Relational DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Websiteopennms.github.io/­newtsquasar.aiwww.sequoiadb.comspark.apache.org/­sql
Technical documentationgithub.com/­OpenNMS/­newts/­wikidoc.quasar.ai/­masterwww.sequoiadb.com/­en/­index.php?m=Files&a=indexspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperOpenNMS GroupquasardbSequoiadb Ltd.Apache Software Foundation
Initial release2014200920132014
Current release3.14.1, January 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoServer: AGPL; Client: Apache V2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++Scala
Server operating systemsLinux
OS X
Windows
BSD
Linux
OS X
Windows
LinuxLinux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infointeger and binaryyes infooid, date, timestamp, binary, regexyes
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.nononono
Secondary indexesnoyes infowith tagsyesno
SQL infoSupport of SQLnoSQL-like query languageSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsHTTP REST
Java API
HTTP APIproprietary protocol using JSONJDBC
ODBC
Supported programming languagesJava.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C++
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnonoJavaScriptno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding infoconsistent hashingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replication with selectable replication factorSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDDocument is locked during a transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modenono
User concepts infoAccess controlnoCryptographically strong user authentication and audit trailsimple password-based access controlno

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More resources
NewtsQuasardbSequoiadbSpark SQL
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