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DBMS > AlaSQL vs. Amazon SimpleDB vs. Drizzle vs. FeatureBase vs. Google Cloud Firestore

System Properties Comparison AlaSQL vs. Amazon SimpleDB vs. Drizzle vs. FeatureBase vs. Google Cloud Firestore

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonDrizzle  Xexclude from comparisonFeatureBase  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionJavaScript DBMS libraryHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Cloud 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 modelDocument store
Relational DBMS
Key-value storeRelational DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score1.85
Rank#138  Overall
#24  Key-value stores
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Websitealasql.orgaws.amazon.com/­simpledbwww.featurebase.comfirebase.google.com/­products/­firestore
Technical documentationgithub.com/­AlaSQL/­alasqldocs.aws.amazon.com/­simpledbdocs.featurebase.comfirebase.google.com/­docs/­firestore
DeveloperAndrey Gershun & Mathias R. WulffAmazonDrizzle project, originally started by Brian AkerMolecula and Pilosa Open Source ContributorsGoogle
Initial release20142007200820172017
Current release7.2.4, September 20122022, May 2022
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoGNU GPLcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++Go
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedFreeBSD
Linux
OS X
Linux
macOS
hosted
Data schemeschema-freeschema-freeyesyesschema-free
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.nonono
Secondary indexesnoyes infoAll columns are indexed automaticallyyesnoyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noyes infowith proprietary extensionsSQL queriesno
APIs and other access methodsJavaScript APIRESTful HTTP APIJDBCgRPC
JDBC
Kafka Connector
ODBC
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesJavaScript.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C++
Java
PHP
Java
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Server-side scripts infoStored proceduresnononoyes, Firebase Rules & Cloud Functions
Triggersyesnono infohooks for callbacks inside the server can be used.noyes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodesnonenone infoSharding must be implemented in the applicationShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication
Source-replica replication
yesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoUsing Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageno infoConcurrent data updates can be detected by the applicationACIDyesyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes, using Linux fsyncyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnoAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Pluggable authentication mechanisms infoe.g. LDAP, HTTPAccess 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
AlaSQLAmazon SimpleDBDrizzleFeatureBaseGoogle Cloud Firestore
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