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DBMS > Blueflood vs. Kingbase vs. QuestDB vs. Sphinx vs. SQL.JS

System Properties Comparison Blueflood vs. Kingbase vs. QuestDB vs. Sphinx vs. SQL.JS

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonKingbase  Xexclude from comparisonQuestDB  Xexclude from comparisonSphinx  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.A high performance open source SQL database for time series dataOpen source search engine for searching in data from different sources, e.g. relational databasesPort of SQLite to JavaScript
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSSearch engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score0.50
Rank#257  Overall
#119  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.63
Rank#241  Overall
#112  Relational DBMS
Websiteblueflood.iowww.kingbase.com.cnquestdb.iosphinxsearch.comsql.js.org
Technical documentationgithub.com/­rax-maas/­blueflood/­wikiquestdb.io/­docssphinxsearch.com/­docssql.js.org/­documentation/­index.html
DeveloperRackspaceBeiJing KINGBASE Information technologies inc.QuestDB Technology IncSphinx Technologies Inc.Alon Zakai infoenhancements implemented by others
Initial release20131999201420012012
Current releaseV8.0, August 20213.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence availableOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and JavaJava (Zero-GC), C++, RustC++JavaScript
Server operating systemsLinux
OS X
Linux
Windows
Linux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemepredefined schemeyesyes infoschema-free via InfluxDB Line Protocolyesyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.noyesnono
Secondary indexesnoyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLnoStandard with numerous extensionsSQL with time-series extensionsSQL-like query language (SphinxQL)yes infoSQL-92 is not fully supported
APIs and other access methodsHTTP RESTADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Proprietary protocolJavaScript API
Supported programming languages.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScript
Server-side scripts infoStored proceduresnouser defined functionsnonono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrahorizontal partitioning (by range, list and hash) and vertical partitioninghorizontal partitioning (by timestamps)Sharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandrayesSource-replica replication with eventual consistencynonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID for single-table writesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.no infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infothrough memory mapped filesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardnono
More information provided by the system vendor
BluefloodKingbaseQuestDBSphinxSQL.JS
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
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