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DBMS > Amazon DynamoDB vs. GBase vs. Percona Server for MongoDB vs. Sphinx vs. ToroDB

System Properties Comparison Amazon DynamoDB vs. GBase vs. Percona Server for MongoDB vs. Sphinx vs. ToroDB

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonGBase  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSphinx  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.Open source search engine for searching in data from different sources, e.g. relational databasesA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelDocument store
Key-value store
Relational DBMSDocument storeSearch engineDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score5.98
Rank#56  Overall
#5  Search engines
Websiteaws.amazon.com/­dynamodbwww.gbase.cnwww.percona.com/­mongodb/­software/­percona-server-for-mongodbsphinxsearch.comgithub.com/­torodb/­server
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.percona.com/­percona-distribution-for-mongodbsphinxsearch.com/­docs
DeveloperAmazonGeneral Data Technology Co., Ltd.PerconaSphinx Technologies Inc.8Kdata
Initial release20122004201520012016
Current releaseGBase 8a, GBase 8s, GBase 8c3.4.10-2.10, November 20173.5.1, February 2023
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialOpen Source infoGPL Version 2Open Source infoGPL version 2, commercial licence availableOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonC++C++Java
Server operating systemshostedLinuxLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
All OS with a Java 7 VM
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesnoyes infostring, integer, double, boolean, date, object_id
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 indexesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoStandard with numerous extensionsnoSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP APIADO.NET
C API
JDBC
ODBC
proprietary protocol using JSONProprietary protocol
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C#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
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnouser defined functionsJavaScriptno
Triggersyes infoby integration with AWS Lambdayesnonono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionACIDnonono
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.yes infovia In-Memory Engine
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesAccess rights for users and rolesnoAccess rights for users and roles

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More resources
Amazon DynamoDBGBasePercona Server for MongoDBSphinxToroDB
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