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DBMS > Blueflood vs. Faircom DB vs. Kdb vs. openGemini

System Properties Comparison Blueflood vs. Faircom DB vs. Kdb vs. openGemini

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonKdb  Xexclude from comparisonopenGemini  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.High performance Time Series DBMSAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalability
Primary database modelTime Series DBMSKey-value store
Relational DBMS
Time Series DBMS
Vector DBMS
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.09
Rank#361  Overall
#37  Time Series DBMS
Websiteblueflood.iowww.faircom.com/­products/­faircom-dbkx.comwww.opengemini.org
github.com/­openGemini
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlcode.kx.comdocs.opengemini.org/­guide
DeveloperRackspaceFairCom CorporationKx Systems, a division of First Derivatives plcHuawei and openGemini community
Initial release201319792000 infokdb was released 2000, kdb+ in 20032022
Current releaseV12, November 20203.6, May 20181.1, July 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoRestricted, free version availablecommercial infofree 32-bit versionOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaANSI C, C++qGo
Server operating systemsLinux
OS X
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
OS X
Solaris
Windows
Linux
Windows
Data schemepredefined schemeschema free, schema optional, schema required, partial schema,yesschema-free
Typing infopredefined data types such as float or dateyesyes, ANSI SQL Types, JSON, typed binary structuresyesInteger, Float, Boolean, 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.nonoyesno
Secondary indexesnoyesyes infotable attribute 'grouped'yes
SQL infoSupport of SQLnoyes, ANSI SQL with proprietary extensionsSQL-like query language (q)SQL-like query language
APIs and other access methodsHTTP RESTADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
HTTP REST
Supported programming languages.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++user defined functionsno
Triggersnoyesyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioninghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanotunable from ACID to Eventually Consistentnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesYes, tunable from durable to delayed durability to in-memoryyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlnoFine grained access rights according to SQL-standard with additional protections for filesrights management via user accountsAdministrators and common users accounts
More information provided by the system vendor
BluefloodFaircom DB infoformerly c-treeACEKdbopenGemini
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
BluefloodFaircom DB infoformerly c-treeACEKdbopenGemini
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