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DBMS > EXASOL vs. FeatureBase vs. Sphinx

System Properties Comparison EXASOL vs. FeatureBase vs. Sphinx

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonFeatureBase  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Real-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 modelRelational DBMSRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.exasol.comwww.featurebase.comsphinxsearch.com
Technical documentationwww.exasol.com/­resourcesdocs.featurebase.comsphinxsearch.com/­docs
DeveloperExasolMolecula and Pilosa Open Source ContributorsSphinx Technologies Inc.
Initial release200020172001
Current release2022, May 20223.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++
Server operating systemsLinux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesno
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.nono
Secondary indexesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLyesSQL queriesSQL-like query language (SphinxQL)
APIs and other access methods.Net
JDBC
ODBC
WebSocket
gRPC
JDBC
Kafka Connector
ODBC
Proprietary protocol
Supported programming languagesJava
Lua
Python
R
Java
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes, 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.yesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardno

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More resources
EXASOLFeatureBaseSphinx
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