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DBMS > Blueflood vs. FeatureBase vs. Sphinx vs. TDengine

System Properties Comparison Blueflood vs. FeatureBase vs. Sphinx vs. TDengine

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonFeatureBase  Xexclude from comparisonSphinx  Xexclude from comparisonTDengine  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.Open source search engine for searching in data from different sources, e.g. relational databasesTime Series DBMS and big data platform
Primary database modelTime Series DBMSRelational DBMSSearch engineTime Series 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
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websiteblueflood.iowww.featurebase.comsphinxsearch.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidocs.featurebase.comsphinxsearch.com/­docsdocs.tdengine.com
DeveloperRackspaceMolecula and Pilosa Open Source ContributorsSphinx Technologies Inc.TDEngine, previously Taos Data
Initial release2013201720012019
Current release2022, May 20223.5.1, February 20233.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++C
Server operating systemsLinux
OS X
Linux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Windows
Data schemepredefined schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesnoyes
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
Secondary indexesnonoyes infofull-text index on all search fieldsno
SQL infoSupport of SQLnoSQL queriesSQL-like query language (SphinxQL)Standard SQL with extensions for time-series applications
APIs and other access methodsHTTP RESTgRPC
JDBC
Kafka Connector
ODBC
Proprietary protocolJDBC
RESTful HTTP API
Supported programming languagesJava
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnonono
Triggersnononoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynoyesnono
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 persistentyesyes, using Linux fsyncyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnonoyes
More information provided by the system vendor
BluefloodFeatureBaseSphinxTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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