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DBMS > Firebolt vs. GBase vs. Kinetica vs. LevelDB

System Properties Comparison Firebolt vs. GBase vs. Kinetica vs. LevelDB

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Editorial information provided by DB-Engines
NameFirebolt  Xexclude from comparisonGBase  Xexclude from comparisonKinetica  Xexclude from comparisonLevelDB  Xexclude from comparison
DescriptionHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Fully vectorized database across both GPUs and CPUsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string values
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Websitewww.firebolt.iowww.gbase.cnwww.kinetica.comgithub.com/­google/­leveldb
Technical documentationdocs.firebolt.iodocs.kinetica.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperFirebolt Analytics Inc.General Data Technology Co., Ltd.KineticaGoogle
Initial release2020200420122011
Current releaseGBase 8a, GBase 8s, GBase 8c7.1, August 20211.23, February 2021
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonC, C++C++
Server operating systemshostedLinuxLinuxIllumos
Linux
OS X
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yesnono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesStandard with numerous extensionsSQL-like DML and DDL statementsno
APIs and other access methods.Net
ODBC
RESTful HTTP API
ADO.NET
C API
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
JavaScript (Node.js)
Python
C#C++
Java
JavaScript (Node.js)
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsno
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAM
User concepts infoAccess controlyesAccess rights for users and roles on table levelno

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More resources
FireboltGBaseKineticaLevelDB
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