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DBMS > FeatureBase vs. Kinetica vs. RisingWave vs. Snowflake

System Properties Comparison FeatureBase vs. Kinetica vs. RisingWave vs. Snowflake

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonKinetica  Xexclude from comparisonRisingWave  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Fully vectorized database across both GPUs and CPUsA distributed RDBMS for stream processing, wire-compatible with PostgreSQLCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.58
Rank#242  Overall
#111  Relational DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Websitewww.featurebase.comwww.kinetica.comwww.risingwave.com/­databasewww.snowflake.com
Technical documentationdocs.featurebase.comdocs.kinetica.comdocs.risingwave.com/­docs/­current/­introdocs.snowflake.net/­manuals/­index.html
DeveloperMolecula and Pilosa Open Source ContributorsKineticaRisingWave LabsSnowflake Computing Inc.
Initial release2017201220222014
Current release2022, May 20227.1, August 20211.2, September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC, C++Rust
Server operating systemsLinux
macOS
LinuxDocker
Linux
macOS
hosted
Data schemeyesyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesStandard SQL-types and JSONyes
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 indexesnoyesyes
SQL infoSupport of SQLSQL queriesSQL-like DML and DDL statementsyesyes
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
JDBC
ODBC
RESTful HTTP API
JDBC
PostgreSQL wire protocol
CLI Client
JDBC
ODBC
Supported programming languagesJava
Python
C++
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsUDFs in Python or Javauser defined functions
Triggersnoyes 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 nodesyesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyesno
User concepts infoAccess controlAccess rights for users and roles on table levelUsers and RolesUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
FeatureBaseKineticaRisingWaveSnowflake
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