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DBMS > Blueflood vs. Coveo vs. FeatureBase vs. Sphinx

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

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonCoveo  Xexclude from comparisonFeatureBase  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentReal-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 databases
Primary database modelTime Series DBMSSearch engineRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score2.28
Rank#114  Overall
#11  Search engines
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websiteblueflood.iowww.coveo.comwww.featurebase.comsphinxsearch.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidocs.coveo.comdocs.featurebase.comsphinxsearch.com/­docs
DeveloperRackspaceCoveoMolecula and Pilosa Open Source ContributorsSphinx Technologies Inc.
Initial release2013201220172001
Current release2022, May 20223.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC++
Server operating systemsLinux
OS X
hostedLinux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemepredefined schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyes
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesnoyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLnonoSQL queriesSQL-like query language (SphinxQL)
APIs and other access methodsHTTP RESTRESTful HTTP APIgRPC
JDBC
Kafka Connector
ODBC
Proprietary protocol
Supported programming languagesC#
Java
JavaScript
Python
Java
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandrayesShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayesyesnone
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 integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using Linux fsyncyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnogranular access controls, API key management, content filtersno

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More resources
BluefloodCoveoFeatureBaseSphinx
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