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DBMS > Amazon SimpleDB vs. BigchainDB vs. Firebase Realtime Database vs. Heroic vs. Ignite

System Properties Comparison Amazon SimpleDB vs. BigchainDB vs. Firebase Realtime Database vs. Heroic vs. Ignite

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHeroic  Xexclude from comparisonIgnite  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 assetsCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.
Primary database modelKey-value storeDocument storeDocument storeTime Series DBMSKey-value store
Relational 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
Score13.64
Rank#39  Overall
#6  Document stores
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Websiteaws.amazon.com/­simpledbwww.bigchaindb.comfirebase.google.com/­products/­realtime-databasegithub.com/­spotify/­heroicignite.apache.org
Technical documentationdocs.aws.amazon.com/­simpledbbigchaindb.readthedocs.io/­en/­latestfirebase.google.com/­docs/­databasespotify.github.io/­heroicapacheignite.readme.io/­docs
DeveloperAmazonGoogle infoacquired by Google 2014SpotifyApache Software Foundation
Initial release20072016201220142015
Current releaseApache Ignite 2.6
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonJavaC++, Java, .Net
Server operating systemshostedLinuxhostedLinux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeschema-freeyes
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.nononoyes
Secondary indexesyes infoAll columns are indexed automaticallyyesyes infovia Elasticsearchyes
SQL infoSupport of SQLnonononoANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsRESTful HTTP APICLI Client
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
Java
JavaScript
Objective-C
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'noyes (compute grid and cache interceptors can be used instead)
TriggersnoCallbacks are triggered when data changesnoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryesyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesyes, based on authentication and database rulesSecurity Hooks for custom implementations

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More resources
Amazon SimpleDBBigchainDBFirebase Realtime DatabaseHeroicIgnite
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