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DBMS > Amazon Aurora vs. AnzoGraph DB vs. Citus vs. Sphinx vs. Sqrrl

System Properties Comparison Amazon Aurora vs. AnzoGraph DB vs. Citus vs. Sphinx vs. Sqrrl

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonCitus  Xexclude from comparisonSphinx  Xexclude from comparisonSqrrl  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.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLOpen source search engine for searching in data from different sources, e.g. relational databasesAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.84
Rank#44  Overall
#28  Relational DBMS
Score0.22
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score2.13
Rank#117  Overall
#56  Relational DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Websiteaws.amazon.com/­rds/­auroracambridgesemantics.com/­anzographwww.citusdata.comsphinxsearch.comsqrrl.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.citusdata.comsphinxsearch.com/­docs
DeveloperAmazonCambridge SemanticsSphinx Technologies Inc.Amazon infooriginally Sqrrl Data, Inc.
Initial release20152018201020012012
Current release2.3, January 20218.1, December 20183.5.1, February 2023
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availableOpen Source infoAGPL, commercial license also availableOpen Source infoGPL version 2, commercial licence availablecommercial
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 languageCC++Java
Server operating systemshostedLinuxLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyesSchema-free and OWL/RDFS-schema supportyesyesschema-free
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.yesnoyes infospecific XML type available, but no XML query functionality
Secondary indexesyesnoyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyesSPARQL and SPARQL* as primary query language. Cypher preview.yes infostandard, with numerous extensionsSQL-like query language (SphinxQL)no
APIs and other access methodsADO.NET
JDBC
ODBC
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocolAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
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
C++
Java
Python
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
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
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nono
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningAutomatic shardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication in MPP-ClusterSource-replica replication infoother methods possible by using 3rd party extensionsnoneselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesno infonot needed in graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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-standardAccess rights for users and rolesfine grained access rights according to SQL-standardnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Amazon AuroraAnzoGraph DBCitusSphinxSqrrl
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