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DBMS > Amazon Neptune vs. Percona Server for MongoDB vs. PostGIS vs. Sadas Engine vs. Sphinx

System Properties Comparison Amazon Neptune vs. Percona Server for MongoDB vs. PostGIS vs. Sadas Engine vs. Sphinx

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonPostGIS  Xexclude from comparisonSadas Engine  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Spatial extension of PostgreSQLSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelGraph DBMS
RDF store
Document storeSpatial DBMSRelational DBMSSearch engine
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score0.52
Rank#254  Overall
#39  Document stores
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websiteaws.amazon.com/­neptunewww.percona.com/­mongodb/­software/­percona-server-for-mongodbpostgis.netwww.sadasengine.comsphinxsearch.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.percona.com/­percona-distribution-for-mongodbpostgis.net/­documentationwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationsphinxsearch.com/­docs
DeveloperAmazonPerconaSADAS s.r.l.Sphinx Technologies Inc.
Initial release20172015200520062001
Current release3.4.10-2.10, November 20173.4.2, February 20248.03.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL Version 2Open Source infoGPL v2.0commercial infofree trial version availableOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC++C++
Server operating systemshostedLinuxAIX
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonoyesno
Secondary indexesnoyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnonoyesyesSQL-like query language (SphinxQL)
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
proprietary protocol using JSONJDBC
ODBC
Proprietary protocol
Proprietary protocol
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
.Net
C
C#
C++
Groovy
Java
PHP
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoJavaScriptuser defined functionsnono
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes infobased on PostgreSQLhorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Source-replica replicationyes infobased on PostgreSQLnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes 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.yes infovia In-Memory Enginenoyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users and rolesyes infobased on PostgreSQLAccess rights for users, groups and roles according to SQL-standardno

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More resources
Amazon NeptunePercona Server for MongoDBPostGISSadas EngineSphinx
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