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DBMS > Amazon SimpleDB vs. CockroachDB vs. Dgraph vs. Firebase Realtime Database vs. HarperDB

System Properties Comparison Amazon SimpleDB vs. CockroachDB vs. Dgraph vs. Firebase Realtime Database vs. HarperDB

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonCockroachDB  Xexclude from comparisonDgraph  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHarperDB  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 ScioreCockroachDB 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.Distributed and scalable native Graph DBMSCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.
Primary database modelKey-value storeRelational DBMSGraph DBMSDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score0.60
Rank#244  Overall
#38  Document stores
Websiteaws.amazon.com/­simpledbwww.cockroachlabs.comdgraph.iofirebase.google.com/­products/­realtime-databasewww.harperdb.io
Technical documentationdocs.aws.amazon.com/­simpledbwww.cockroachlabs.com/­docsdgraph.io/­docsfirebase.google.com/­docs/­databasedocs.harperdb.io/­docs
DeveloperAmazonCockroach LabsDgraph Labs, Inc.Google infoacquired by Google 2014HarperDB
Initial release20072015201620122017
Current release24.1.0, May 20243.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0, commercial license availableOpen Source infoApache 2.0commercialcommercial infofree community edition available
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoGoNode.js
Server operating systemshostedLinux
macOS
Windows
Linux
OS X
Windows
hostedLinux
OS X
Data schemeschema-freedynamic schemaschema-freeschema-freedynamic schema
Typing infopredefined data types such as float or datenoyesyesyesyes infoJSON data types
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 automaticallyyesyesyesyes
SQL infoSupport of SQLnoyes, wire compatible with PostgreSQLnonoSQL-like data manipulation statements
APIs and other access methodsRESTful HTTP APIJDBCGraphQL query language
gRPC (using protocol buffers) API
HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
JavaScript
Objective-C
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Server-side scripts infoStored proceduresnononolimited functionality with using 'rules'Custom Functions infosince release 3.1
TriggersnononoCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationhorizontal 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 RAFTyesA table resides as a whole on one (or more) nodes in a cluster
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using RAFTSynchronous replication via Raftyes infothe nodes on which a table resides can be defined
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 ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACIDyesAtomic execution of specific operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, using LMDB
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)Role-based access controlno infoPlanned for future releasesyes, based on authentication and database rulesAccess rights for users and roles

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More resources
Amazon SimpleDBCockroachDBDgraphFirebase Realtime DatabaseHarperDB
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