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DBMS > AlaSQL vs. Google Cloud Datastore vs. jBASE vs. Oracle Berkeley DB vs. SQL.JS

System Properties Comparison AlaSQL vs. Google Cloud Datastore vs. jBASE vs. Oracle Berkeley DB vs. SQL.JS

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonjBASE  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionJavaScript DBMS libraryAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA robust multi-value DBMS comprising development tools and middlewareWidely used in-process key-value storePort of SQLite to JavaScript
Primary database modelDocument store
Relational DBMS
Document storeMultivalue DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational 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
Score4.47
Rank#76  Overall
#12  Document stores
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.53
Rank#252  Overall
#116  Relational DBMS
Websitealasql.orgcloud.google.com/­datastorewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlsql.js.org
Technical documentationgithub.com/­AlaSQL/­alasqlcloud.google.com/­datastore/­docsdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.oracle.com/­cd/­E17076_05/­html/­index.htmlsql.js.org/­documentation/­index.html
DeveloperAndrey Gershun & Mathias R. WulffGoogleRocket Software (formerly Zumasys)Oracle infooriginally developed by Sleepycat, which was acquired by OracleAlon Zakai infoenhancements implemented by others
Initial release20142008199119942012
Current release5.718.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialcommercialOpen Source infocommercial license availableOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC, Java, C++ (depending on the Berkeley DB edition)JavaScript
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedAIX
Linux
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyes, details hereoptionalnoyes
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.nonoyesyes infoonly with the Berkeley DB XML editionno
Secondary indexesnoyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-like query language (GQL)Embedded SQL for jBASE in BASICyes infoSQL interfaced based on SQLite is availableyes infoSQL-92 is not fully supported
APIs and other access methodsJavaScript APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JavaScript API
Supported programming languagesJavaScript.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Basic
Jabbascript
Java
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
JavaScript
Server-side scripts infoStored proceduresnousing Google App Engineyesnono
TriggersyesCallbacks using the Google Apps Engineyesyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using PaxosyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate 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.none
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyesyes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights can be defined down to the item levelnono

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More resources
AlaSQLGoogle Cloud DatastorejBASEOracle Berkeley DBSQL.JS
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