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DBMS > AlaSQL vs. dBASE vs. Google Cloud Datastore vs. Microsoft Azure AI Search vs. YDB

System Properties Comparison AlaSQL vs. dBASE vs. Google Cloud Datastore vs. Microsoft Azure AI Search vs. YDB

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisondBASE  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionJavaScript DBMS librarydBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformSearch-as-a-service for web and mobile app developmentA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument storeSearch engineDocument store
Relational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score5.52
Rank#59  Overall
#6  Search engines
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitealasql.orgwww.dbase.comcloud.google.com/­datastoreazure.microsoft.com/­en-us/­services/­searchgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationgithub.com/­AlaSQL/­alasqlwww.dbase.com/­support/­knowledgebasecloud.google.com/­datastore/­docslearn.microsoft.com/­en-us/­azure/­searchydb.tech/­en/­docs
DeveloperAndrey Gershun & Mathias R. WulffAsthon TateGoogleMicrosoftYandex
Initial release20141979200820152019
Current releasedBASE 2019, 2019V1
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialcommercialcommercialOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScript
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)DOS infodBase Classic
Windows infodBase Pro
hostedhostedLinux
Data schemeschema-freeyesschema-freeyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or datenoyesyes, details hereyesyes
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.nononono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noSQL-like query language (GQL)noSQL-like query language (YQL)
APIs and other access methodsJavaScript APInone infoThe IDE can access other DBMS or ODBC-sources.gRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful HTTP APIRESTful HTTP API (DynamoDB compatible)
Supported programming languagesJavaScriptdBase proprietary IDE.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
JavaScript
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnono infoThe IDE can access stored procedures in other database systems.using Google App Enginenono
TriggersyesnoCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replication using Paxosyes infoImplicit feature of the cloud serviceActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflownono
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.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes infovia ReferenceProperties or Ancestor pathsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACID
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.yesnonono
User concepts infoAccess controlnoAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infousing Azure authenticationAccess rights defined for Yandex Cloud users

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More resources
AlaSQLdBASEGoogle Cloud DatastoreMicrosoft Azure AI SearchYDB
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