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DBMS > Blueflood vs. FeatureBase vs. Sphinx vs. VelocityDB

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

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonFeatureBase  Xexclude from comparisonSphinx  Xexclude from comparisonVelocityDB  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 databasesA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelTime Series DBMSRelational DBMSSearch engineGraph DBMS
Object oriented 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
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websiteblueflood.iowww.featurebase.comsphinxsearch.comvelocitydb.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidocs.featurebase.comsphinxsearch.com/­docsvelocitydb.com/­UserGuide
DeveloperRackspaceMolecula and Pilosa Open Source ContributorsSphinx Technologies Inc.VelocityDB Inc
Initial release2013201720012011
Current release2022, May 20223.5.1, February 20237.x
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC++C#
Server operating systemsLinux
OS X
Linux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Any that supports .NET
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 fieldsyes
SQL infoSupport of SQLnoSQL queriesSQL-like query language (SphinxQL)no
APIs and other access methodsHTTP RESTgRPC
JDBC
Kafka Connector
ODBC
Proprietary protocol.Net
Supported programming languagesJava
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
Server-side scripts infoStored proceduresnonono
TriggersnononoCallbacks are triggered when data changes
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 Cassandrayesnone
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 integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoACID
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.noyesyes
User concepts infoAccess controlnonoBased on Windows Authentication

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More resources
BluefloodFeatureBaseSphinxVelocityDB
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