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DBMS > Amazon Aurora vs. FeatureBase vs. Sphinx vs. Transwarp ArgoDB

System Properties Comparison Amazon Aurora vs. FeatureBase vs. Sphinx vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonFeatureBase  Xexclude from comparisonSphinx  Xexclude from comparisonTranswarp ArgoDB  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 databasesDistributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelRelational DBMSRelational DBMSSearch engineRelational DBMS
Secondary database modelsDocument storeSearch engine
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
Score0.07
Rank#350  Overall
#153  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.featurebase.comsphinxsearch.comwww.transwarp.cn/­en/­product/­argodb
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.featurebase.comsphinxsearch.com/­docsdocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperAmazonMolecula and Pilosa Open Source ContributorsSphinx Technologies Inc.Transwarp
Initial release201520172001
Current release2022, May 20223.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++
Server operating systemshostedLinux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyes
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.yesno
Secondary indexesyesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyesSQL queriesSQL-like query language (SphinxQL)yes
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC
JDBC
Kafka Connector
ODBC
Proprietary protocol
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
Server-side scripts infoStored proceduresyesno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
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 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.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardno

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More resources
Amazon AuroraFeatureBaseSphinxTranswarp ArgoDB
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