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DBMS > Amazon SimpleDB vs. DolphinDB vs. Geode vs. Google Cloud Firestore

System Properties Comparison Amazon SimpleDB vs. DolphinDB vs. Geode vs. Google Cloud Firestore

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonGeode  Xexclude from comparisonGoogle Cloud Firestore  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 ScioreDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesCloud 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 storeTime Series DBMS
Vector DBMS
Key-value storeDocument store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#128  Overall
#22  Key-value stores
Score2.72
Rank#100  Overall
#8  Time Series DBMS
#5  Vector DBMS
Score1.51
Rank#147  Overall
#25  Key-value stores
Score6.63
Rank#54  Overall
#9  Document stores
Websiteaws.amazon.com/­simpledbwww.dolphindb.comgeode.apache.orgfirebase.google.com/­products/­firestore
Technical documentationdocs.aws.amazon.com/­simpledbdocs.dolphindb.cn/­en/­help200/­index.htmlgeode.apache.org/­docsfirebase.google.com/­docs/­firestore
DeveloperAmazonDolphinDB, IncOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Google
Initial release2007201820022017
Current releasev2.00.4, January 20221.1, February 2017
License infoCommercial or Open Sourcecommercialcommercial infofree community version availableOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemshostedLinux
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredhosted
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyesyes
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 automaticallyyesnoyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language (OQL)no
APIs and other access methodsRESTful HTTP APIJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Java Client API
Memcached protocol
RESTful HTTP API
Android
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++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
All JVM based languages
C++
Groovy
Java
Scala
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Server-side scripts infoStored proceduresnoyesuser defined functionsyes, Firebase Rules & Cloud Functions
Triggersnonoyes infoCache Event Listenersyes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationhorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoUsing Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual 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 applicationyesyes, on a single nodeyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Administrators, Users, GroupsAccess rights per client and object definableAccess 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 SimpleDBDolphinDBGeodeGoogle Cloud Firestore
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