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DBMS > Amazon SimpleDB vs. Bangdb vs. GeoSpock vs. Google Cloud Firestore

System Properties Comparison Amazon SimpleDB vs. Bangdb vs. GeoSpock vs. Google Cloud Firestore

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBangdb  Xexclude from comparisonGeoSpock  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreConverged and high performance database for device data, events, time series, document and graphSpatial and temporal data processing engine for extreme data scaleCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.
Primary database modelKey-value storeDocument store
Graph DBMS
Time Series DBMS
Relational DBMSDocument store
Secondary database modelsSpatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#128  Overall
#22  Key-value stores
Score0.07
Rank#346  Overall
#47  Document stores
#35  Graph DBMS
#32  Time Series DBMS
Score6.63
Rank#54  Overall
#9  Document stores
Websiteaws.amazon.com/­simpledbbangdb.comgeospock.comfirebase.google.com/­products/­firestore
Technical documentationdocs.aws.amazon.com/­simpledbdocs.bangdb.comfirebase.google.com/­docs/­firestore
DeveloperAmazonSachin Sinha, BangDBGeoSpockGoogle
Initial release200720122017
Current releaseBangDB 2.0, October 20212.0, September 2019
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++Java, Javascript
Server operating systemshostedLinuxhostedhosted
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyes: string, long, double, int, geospatial, stream, eventsyesyes
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.nonono
Secondary indexesyes infoAll columns are indexed automaticallyyes infosecondary, composite, nested, reverse, geospatialtemporal, categoricalyes
SQL infoSupport of SQLnoSQL like support with command line toolANSI SQL for query only (using Presto)no
APIs and other access methodsRESTful HTTP APIProprietary protocol
RESTful HTTP API
JDBCAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C#
C++
Java
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Server-side scripts infoStored proceduresnononoyes, Firebase Rules & Cloud Functions
Triggersnoyes, Notifications (with Streaming only)noyes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoUsing Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Tunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yes (enterprise version only)Access rights for users can be defined per tableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.

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More resources
Amazon SimpleDBBangdbGeoSpockGoogle Cloud Firestore
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