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DBMS > Amazon SimpleDB vs. BigchainDB vs. GridGain vs. Realm vs. Vitess

System Properties Comparison Amazon SimpleDB vs. BigchainDB vs. GridGain vs. Realm vs. Vitess

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonGridGain  Xexclude from comparisonRealm  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsGridGain is an in-memory computing platform, built on Apache IgniteA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelKey-value storeDocument storeKey-value store
Relational DBMS
Document storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score0.85
Rank#208  Overall
#35  Document stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websiteaws.amazon.com/­simpledbwww.bigchaindb.comwww.gridgain.comrealm.iovitess.io
Technical documentationdocs.aws.amazon.com/­simpledbbigchaindb.readthedocs.io/­en/­latestwww.gridgain.com/­docs/­index.htmlrealm.io/­docsvitess.io/­docs
DeveloperAmazonGridGain Systems, Inc.Realm, acquired by MongoDB in May 2019The Linux Foundation, PlanetScale
Initial release20072016200720142013
Current releaseGridGain 8.5.115.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercialOpen SourceOpen Source infoApache Version 2.0, commercial licenses available
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 languagePythonJava, C++, .NetGo
Server operating systemshostedLinuxLinux
OS X
Solaris
Windows
Android
Backend: server-less
iOS
Windows
Docker
Linux
macOS
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or datenonoyesyesyes
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.noyesno
Secondary indexesyes infoAll columns are indexed automaticallyyesyesyes
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLnoyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP APICLI Client
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)no inforuns within the applications so server-side scripts are unnecessaryyes infoproprietary syntax
Triggersnoyes (cache interceptors and events)yes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryes (replicated cache)noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-Memory realmyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesSecurity Hooks for custom implementationsyesUsers with fine-grained authorization concept infono user groups or roles

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More resources
Amazon SimpleDBBigchainDBGridGainRealmVitess
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