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DBMS > Amazon Aurora vs. FeatureBase vs. Sphinx vs. SWC-DB

System Properties Comparison Amazon Aurora vs. FeatureBase vs. Sphinx vs. SWC-DB

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonFeatureBase  Xexclude from comparisonSphinx  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonReal-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 high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSRelational DBMSSearch engineWide column store
Secondary database modelsDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.01
Rank#376  Overall
#13  Wide column stores
Websiteaws.amazon.com/­rds/­aurorawww.featurebase.comsphinxsearch.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.featurebase.comsphinxsearch.com/­docs
DeveloperAmazonMolecula and Pilosa Open Source ContributorsSphinx Technologies Inc.Alex Kashirin
Initial release2015201720012020
Current release2022, May 20223.5.1, February 20230.5, April 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++C++
Server operating systemshostedLinux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyesyesyesschema-free
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.yesnono
Secondary indexesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLyesSQL queriesSQL-like query language (SphinxQL)SQL-like query language
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC
JDBC
Kafka Connector
ODBC
Proprietary protocolProprietary protocol
Thrift
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Server-side scripts infoStored proceduresyesnono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesno
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.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardno

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More resources
Amazon AuroraFeatureBaseSphinxSWC-DB infoSuper Wide Column Database
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