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DBMS > Kinetica vs. LeanXcale vs. Sequoiadb vs. Snowflake

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

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonLeanXcale  Xexclude from comparisonSequoiadb  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesNewSQL database with distributed OLTP and SQLCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSKey-value store
Relational DBMS
Document 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
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Websitewww.kinetica.comwww.leanxcale.comwww.sequoiadb.comwww.snowflake.com
Technical documentationdocs.kinetica.comwww.sequoiadb.com/­en/­index.php?m=Files&a=indexdocs.snowflake.net/­manuals/­index.html
DeveloperKineticaLeanXcaleSequoiadb Ltd.Snowflake Computing Inc.
Initial release2012201520132014
Current release7.1, August 2021
License infoCommercial or Open SourcecommercialcommercialOpen 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++C++
Server operating systemsLinuxLinuxhosted
Data schemeyesyesschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyes 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.nonoyes
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infothrough Apache DerbySQL-like query languageyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
proprietary protocol using JSONCLI Client
JDBC
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C
Java
Scala
.Net
C++
Java
PHP
Python
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsJavaScriptuser 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 nodesShardingShardingyes
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 configurationImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDDocument is locked during a transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyesnono
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
KineticaLeanXcaleSequoiadbSnowflake
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