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DBMS > Newts vs. Quasardb vs. Sequoiadb vs. SingleStore

System Properties Comparison Newts vs. Quasardb vs. Sequoiadb vs. SingleStore

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Editorial information provided by DB-Engines
NameNewts  Xexclude from comparisonQuasardb  Xexclude from comparisonSequoiadb  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionTime Series DBMS based on CassandraDistributed, high-performance timeseries databaseNewSQL database with distributed OLTP and SQLMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage
Primary database modelTime Series DBMSTime Series DBMSDocument store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#353  Overall
#34  Time Series DBMS
Score0.19
Rank#288  Overall
#23  Time Series DBMS
Score0.45
Rank#245  Overall
#38  Document stores
#116  Relational DBMS
Score5.74
Rank#64  Overall
#34  Relational DBMS
Websiteopennms.github.io/­newtsquasardb.netwww.sequoiadb.comwww.singlestore.com
Technical documentationgithub.com/­OpenNMS/­newts/­wikidoc.quasardb.netwww.sequoiadb.com/­en/­index.php?m=Files&a=indexdocs.singlestore.com
DeveloperOpenNMS GroupquasardbSequoiadb Ltd.SingleStore Inc.
Initial release2014200920132013
Current release3.1, January 20197.3, December 2020
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 V2commercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStore Managed Service: The world's fastest, most capable cloud database for operational analytics, machine learning, & AI. Available instantly with multi-cloud and hybrid-cloud capabilities.
Implementation languageJavaC++C++C++
Server operating systemsLinux
OS X
Windows
BSD
Linux
OS X
Windows
LinuxLinux info64 bit version required
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 tagsyesyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like query languageyes, but no triggers and foreign keys
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
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoJavaScriptyes
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding infoconsistent hashingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replication with selectable replication factorSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual ConsistencyImmediate Consistency only within each node
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDDocument is locked during a transactionACID infoOnly isolation level: READ COMMITED
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
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 modenoyes
User concepts infoAccess controlnoCryptographically strong user authentication and audit trailsimple password-based access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
NewtsQuasardbSequoiadbSingleStore infoformer name was MemSQL
Specific characteristicsHigh-performance , high-speed, fully integrated timeseries database Seamlessly combines...
» more
SingleStore is The No Limits Database™, powering modern applications and analytical...
» more
Competitive advantagesHigh performance in a cost-effective small package Real-time results for even large...
» more
Performance - Shattering the Trillion-Rows-Per-Second Barrier Fast data ingest -...
» more
Typical application scenariosTick database Predictive maintenance Pre-deal checks Large scale monitoring
» more
Real-Time Analytics Internet of Things Personalization and Recommendations Risk Management...
» more
Key customersLarge EU investment banks US based hedge funds Orolia Tellmeplus
» more
Comcast - Real-time Stream Processing Architecture DellEMC - Getting it Right Exactly...
» more
Market metricsHas been running in very demanding production environments since 2013 Rapid adoption...
» more
Customers in various industries worldwide -- US and International Industry Solutions:...
» more
Licensing and pricing modelsCommunity edition limited to 2 nodes and 16 GiB of storage per node available for...
» more
F ree Tier and Enterprise Edition
» more

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NewtsQuasardbSequoiadbSingleStore infoformer name was MemSQL
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