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DBMS > Blueflood vs. FeatureBase vs. OrigoDB vs. TDSQL for MySQL

System Properties Comparison Blueflood vs. FeatureBase vs. OrigoDB vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonFeatureBase  Xexclude from comparisonOrigoDB  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A fully ACID in-memory object graph databaseA 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.
Primary database modelTime Series DBMSRelational DBMSDocument store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websiteblueflood.iowww.featurebase.comorigodb.comwww.tencentcloud.com/­products/­dcdb
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidocs.featurebase.comorigodb.com/­docswww.tencentcloud.com/­document/­product/­1042
DeveloperRackspaceMolecula and Pilosa Open Source ContributorsRobert Friberg et alTencent
Initial release201320172009 infounder the name LiveDB2013
Current release2022, May 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC#
Server operating systemsLinux
OS X
Linux
macOS
Linux
Windows
hosted
Data schemepredefined schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyes
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.nonono infocan be achieved using .NETno
Secondary indexesnonoyesyes
SQL infoSupport of SQLnoSQL queriesnoyes
APIs and other access methodsHTTP RESTgRPC
JDBC
Kafka Connector
ODBC
.NET Client API
HTTP API
LINQ
JDBC
ODBC
Supported programming languagesJava
Python
.NetC
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesyes
Triggersnonoyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardinghorizontal partitioning infoclient side managed; servers are not synchronizedAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandrayesSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoyesdepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlnoRole based authorizationUsers with fine-grained authorization concept

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More resources
BluefloodFeatureBaseOrigoDBTDSQL for MySQL
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