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DBMS > AlaSQL vs. Amazon SimpleDB vs. Drizzle vs. Google Cloud Datastore vs. jBASE

System Properties Comparison AlaSQL vs. Amazon SimpleDB vs. Drizzle vs. Google Cloud Datastore vs. jBASE

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonDrizzle  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonjBASE  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.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA robust multi-value DBMS comprising development tools and middleware
Primary database modelDocument store
Relational DBMS
Key-value storeRelational DBMSDocument storeMultivalue DBMS
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
Score4.47
Rank#76  Overall
#12  Document stores
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Websitealasql.orgaws.amazon.com/­simpledbcloud.google.com/­datastorewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbase
Technical documentationgithub.com/­AlaSQL/­alasqldocs.aws.amazon.com/­simpledbcloud.google.com/­datastore/­docsdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
DeveloperAndrey Gershun & Mathias R. WulffAmazonDrizzle project, originally started by Brian AkerGoogleRocket Software (formerly Zumasys)
Initial release20142007200820081991
Current release7.2.4, September 20125.7
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoGNU GPLcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedFreeBSD
Linux
OS X
hostedAIX
Linux
Windows
Data schemeschema-freeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenonoyesyes, details hereoptional
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.nonoyes
Secondary indexesnoyes infoAll columns are indexed automaticallyyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noyes infowith proprietary extensionsSQL-like query language (GQL)Embedded SQL for jBASE in BASIC
APIs and other access methodsJavaScript APIRESTful HTTP APIJDBCgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesJavaScript.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C++
Java
PHP
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Basic
Jabbascript
Java
Server-side scripts infoStored proceduresnononousing Google App Engineyes
Triggersyesnono infohooks for callbacks inside the server can be used.Callbacks using the Google Apps Engineyes
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
Multi-source replication using Paxosyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.
Foreign keys infoReferential integrityyesnoyesyes infovia ReferenceProperties or Ancestor pathsno
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 applicationACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
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 (IAM)Access rights can be defined down to the item level

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More resources
AlaSQLAmazon SimpleDBDrizzleGoogle Cloud DatastorejBASE
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