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DBMS > Blueflood vs. DolphinDB vs. Kyligence Enterprise vs. Spark SQL

System Properties Comparison Blueflood vs. DolphinDB vs. Kyligence Enterprise vs. Spark SQL

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonDolphinDB  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.A distributed analytics engine for big data, built on top of Apache KylinSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteblueflood.iowww.dolphindb.comkyligence.io/­kyligence-enterprisespark.apache.org/­sql
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidocs.dolphindb.cn/­en/­help200/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperRackspaceDolphinDB, IncKyligence, Inc.Apache Software Foundation
Initial release2013201820162014
Current releasev2.00.4, January 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree community version availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaScala
Server operating systemsLinux
OS X
Linux
Windows
LinuxLinux
OS X
Windows
Data schemepredefined schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoSQL-like query languageANSI SQL for queries (using Apache Calcite)SQL-like DML and DDL statements
APIs and other access methodsHTTP RESTJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyesno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrahorizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlnoAdministrators, Users, Groupsno

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More resources
BluefloodDolphinDBKyligence EnterpriseSpark SQL
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