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DBMS > Apache Doris vs. Firebolt vs. Kinetica vs. NSDb

System Properties Comparison Apache Doris vs. Firebolt vs. Kinetica vs. NSDb

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonFirebolt  Xexclude from comparisonKinetica  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseFully vectorized database across both GPUs and CPUsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#235  Overall
#110  Relational DBMS
Score1.49
Rank#148  Overall
#68  Relational DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Websitedoris.apache.org
github.com/­apache/­doris
www.firebolt.iowww.kinetica.comnsdb.io
Technical documentationgithub.com/­apache/­doris/­wikidocs.firebolt.iodocs.kinetica.comnsdb.io/­Architecture
DeveloperApache Software Foundation, originally contributed from BaiduFirebolt Analytics Inc.Kinetica
Initial release2017202020122017
Current release1.2.2, February 20237.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++Java, Scala
Server operating systemsLinuxhostedLinuxLinux
macOS
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes: int, bigint, decimal, string
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.nonono
Secondary indexesyesyesyesall fields are automatically indexed
SQL infoSupport of SQLyesyesSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsJDBC
MySQL client
.Net
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
Supported programming languagesJavaGo
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
Java
Scala
Server-side scripts infoStored proceduresuser defined functionsnouser defined functionsno
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonedepending on storage layerSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAM
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles on table level

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More resources
Apache DorisFireboltKineticaNSDb
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Migrating from ClickHouse to Apache Doris: Boosting OLAP Performance
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