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DBMS > Blueflood vs. EsgynDB vs. GeoSpock vs. TDSQL for MySQL vs. Transwarp KunDB

System Properties Comparison Blueflood vs. EsgynDB vs. GeoSpock vs. TDSQL for MySQL vs. Transwarp KunDB

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonEsgynDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonTranswarp KunDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionScalable TimeSeries DBMS based on CassandraEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionSpatial and temporal data processing engine for extreme data scaleA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.OLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#352  Overall
#36  Time Series DBMS
Score0.15
Rank#325  Overall
#144  Relational DBMS
Score0.96
Rank#192  Overall
#88  Relational DBMS
Score0.04
Rank#362  Overall
#154  Relational DBMS
Websiteblueflood.iowww.esgyn.cngeospock.comwww.tencentcloud.com/­products/­dcdbwww.transwarp.cn/­en/­product/­kundb
Technical documentationgithub.com/­rax-maas/­blueflood/­wikiwww.tencentcloud.com/­document/­product/­1042
DeveloperRackspaceEsgynGeoSpockTencentTranswarp
Initial release201320152013
Current release2.0, September 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, JavaJava, Javascript
Server operating systemsLinux
OS X
Linuxhostedhosted
Data schemepredefined schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesnoyestemporal, categoricalyesyes
SQL infoSupport of SQLnoyesANSI SQL for query only (using Presto)yesyes
APIs and other access methodsHTTP RESTADO.NET
JDBC
ODBC
JDBCJDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoJava Stored Proceduresnoyesyes
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingAutomatic shardingAutomatic shardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication between multi datacentersMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users can be defined per tableUsers with fine-grained authorization conceptyes

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More resources
BluefloodEsgynDBGeoSpockTDSQL for MySQLTranswarp KunDB
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