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DBMS > Amazon Aurora vs. Sphinx vs. Sqrrl vs. StarRocks vs. Trafodion

System Properties Comparison Amazon Aurora vs. Sphinx vs. Sqrrl vs. StarRocks vs. Trafodion

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonSphinx  Xexclude from comparisonSqrrl  Xexclude from comparisonStarRocks  Xexclude from comparisonTrafodion  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonOpen source search engine for searching in data from different sources, e.g. relational databasesAdaptable, secure NoSQL built on Apache AccumuloAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache DorisTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorasphinxsearch.comsqrrl.comwww.starrocks.iotrafodion.apache.org
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlsphinxsearch.com/­docsdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_introtrafodion.apache.org/­documentation.html
DeveloperAmazonSphinx Technologies Inc.Amazon infooriginally Sqrrl Data, Inc.The Linux Foundation infosince Feb 2023Apache Software Foundation, originally developed by HP
Initial release20152001201220202014
Current release3.5.1, February 20233.3, June 20242.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2, commercial licence availablecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++, JavaC++, Java
Server operating systemshostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
LinuxLinuxLinux
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 indexesyesyes infofull-text index on all search fieldsyesyesyes
SQL infoSupport of SQLyesSQL-like query language (SphinxQL)noyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
Proprietary protocolAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
JDBC
MySQL protocol
ADO.NET
JDBC
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
JavaAll languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyesnonouser defined functionsJava Stored Procedures
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infomaking use of Hadoophorizontal partitioning (by range and hash)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneselectable replication factor infomaking use of Hadoopyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic updates per row, document, or graph entitynoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Role based access control and fine grained access rightsfine grained access rights according to SQL-standard

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More resources
Amazon AuroraSphinxSqrrlStarRocksTrafodion
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