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DBMS > AlaSQL vs. OpenMLDB vs. Spark SQL vs. WakandaDB

System Properties Comparison AlaSQL vs. OpenMLDB vs. Spark SQL vs. WakandaDB

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonOpenMLDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionJavaScript DBMS libraryAn open-source machine learning database that provides a feature platform for training and inferenceSpark SQL is a component on top of 'Spark Core' for structured data processingWakandaDB 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
Time Series DBMSRelational DBMSObject oriented DBMS
Secondary database modelsRelational 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
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitealasql.orgopenmldb.aispark.apache.org/­sqlwakanda.github.io
Technical documentationgithub.com/­AlaSQL/­alasqlopenmldb.ai/­docs/­zh/­mainspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwakanda.github.io/­doc
DeveloperAndrey Gershun & Mathias R. Wulff4 Paradigm Inc.Apache Software FoundationWakanda SAS
Initial release2014202020142012
Current release2024-2 February 20243.5.0 ( 2.13), September 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen SourceOpen Source infoApache 2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++, Java, ScalaScalaC++, JavaScript
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)LinuxLinux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeFixed schemayesyes
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesnoyesno
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yesSQL-like DML and DDL statementsno
APIs and other access methodsJavaScript APIJDBC
SQLAlchemy
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJavaScriptC++
Go
Java
Python
Scala
Java
Python
R
Scala
JavaScript
Server-side scripts infoStored proceduresnononoyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlnofine grained access rights according to SQL-standardnoyes

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More resources
AlaSQLOpenMLDBSpark SQLWakandaDB
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