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DBMS > AlaSQL vs. dBASE vs. FeatureBase vs. Google Cloud Bigtable vs. WakandaDB

System Properties Comparison AlaSQL vs. dBASE vs. FeatureBase vs. Google Cloud Bigtable vs. WakandaDB

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisondBASE  Xexclude from comparisonFeatureBase  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonWakandaDB  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.Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSKey-value store
Wide column store
Object oriented 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
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitealasql.orgwww.dbase.comwww.featurebase.comcloud.google.com/­bigtablewakanda.github.io
Technical documentationgithub.com/­AlaSQL/­alasqlwww.dbase.com/­support/­knowledgebasedocs.featurebase.comcloud.google.com/­bigtable/­docswakanda.github.io/­doc
DeveloperAndrey Gershun & Mathias R. WulffAsthon TateMolecula and Pilosa Open Source ContributorsGoogleWakanda SAS
Initial release20141979201720152012
Current releasedBASE 2019, 20192022, May 20222.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialcommercialcommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptGoC++, JavaScript
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)DOS infodBase Classic
Windows infodBase Pro
Linux
macOS
hostedLinux
OS X
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesnoyes
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 indexesnoyesnono
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noSQL queriesnono
APIs and other access methodsJavaScript APInone infoThe IDE can access other DBMS or ODBC-sources.gRPC
JDBC
Kafka Connector
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP API
Supported programming languagesJavaScriptdBase proprietary IDEJava
Python
C#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresnono infoThe IDE can access stored procedures in other database systems.noyes
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyesInternal replication in Colossus, and regional replication between two clusters in different zonesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integrityyesyesyesno
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 DBMSyesAtomic single-row operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyes, using Linux fsyncyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
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

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More resources
AlaSQLdBASEFeatureBaseGoogle Cloud BigtableWakandaDB
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