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DBMS > Kinetica vs. NSDb vs. Sequoiadb vs. Snowflake

System Properties Comparison Kinetica vs. NSDb vs. Sequoiadb vs. Snowflake

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonNSDb  Xexclude from comparisonSequoiadb  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesNewSQL database with distributed OLTP and SQLCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSTime Series DBMSDocument store
Relational DBMS
Relational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Websitewww.kinetica.comnsdb.iowww.sequoiadb.comwww.snowflake.com
Technical documentationdocs.kinetica.comnsdb.io/­Architecturewww.sequoiadb.com/­en/­index.php?m=Files&a=indexdocs.snowflake.net/­manuals/­index.html
DeveloperKineticaSequoiadb Ltd.Snowflake Computing Inc.
Initial release2012201720132014
Current release7.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoServer: AGPL; Client: Apache V2commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++Java, ScalaC++
Server operating systemsLinuxLinux
macOS
Linuxhosted
Data schemeyesschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyes 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.nononoyes
Secondary indexesyesall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
proprietary protocol using JSONCLI Client
JDBC
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Java
Scala
.Net
C++
Java
PHP
Python
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsnoJavaScriptuser defined functions
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoDocument is locked during a transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMnono
User concepts infoAccess controlAccess rights for users and roles on table levelsimple password-based access controlUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
KineticaNSDbSequoiadbSnowflake
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