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DBMS > Amazon SimpleDB vs. BigchainDB vs. CockroachDB vs. Microsoft Azure Table Storage vs. Realm

System Properties Comparison Amazon SimpleDB vs. BigchainDB vs. CockroachDB vs. Microsoft Azure Table Storage vs. Realm

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonCockroachDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRealm  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 assetsCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.A Wide Column Store for rapid development using massive semi-structured datasetsA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelKey-value storeDocument storeRelational DBMSWide column storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#128  Overall
#22  Key-value stores
Score0.76
Rank#216  Overall
#36  Document stores
Score4.74
Rank#67  Overall
#36  Relational DBMS
Score3.55
Rank#80  Overall
#6  Wide column stores
Score7.18
Rank#52  Overall
#8  Document stores
Websiteaws.amazon.com/­simpledbwww.bigchaindb.comwww.cockroachlabs.comazure.microsoft.com/­en-us/­services/­storage/­tablesrealm.io
Technical documentationdocs.aws.amazon.com/­simpledbbigchaindb.readthedocs.io/­en/­latestwww.cockroachlabs.com/­docsrealm.io/­docs
DeveloperAmazonCockroach LabsMicrosoftRealm, acquired by MongoDB in May 2019
Initial release20072016201520122014
Current release24.1.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3Open Source infoApache 2.0, commercial license availablecommercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonGo
Server operating systemshostedLinuxLinux
macOS
Windows
hostedAndroid
Backend: server-less
iOS
Windows
Data schemeschema-freeschema-freedynamic schemaschema-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.nononono
Secondary indexesyes infoAll columns are indexed automaticallyyesnoyes
SQL infoSupport of SQLnonoyes, wire compatible with PostgreSQLnono
APIs and other access methodsRESTful HTTP APICLI Client
RESTful HTTP API
JDBCRESTful HTTP API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresnononono inforuns within the applications so server-side scripts are unnecessary
Triggersnononoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardinghorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorMulti-source replication using RAFTyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesRole-based access controlAccess rights based on private key authentication or shared access signaturesyes

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More resources
Amazon SimpleDBBigchainDBCockroachDBMicrosoft Azure Table StorageRealm
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