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DBMS > AlaSQL vs. Apache Drill vs. Spark SQL

System Properties Comparison AlaSQL vs. Apache Drill vs. Spark SQL

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonApache Drill  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionJavaScript DBMS librarySchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Relational DBMS
Document store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#226  Overall
#35  Document stores
#110  Relational DBMS
Score2.74
Rank#105  Overall
#19  Document stores
#54  Relational DBMS
Score22.97
Rank#34  Overall
#20  Relational DBMS
Websitealasql.orgdrill.apache.orgspark.apache.org/­sql
Technical documentationgithub.com/­agershun/­alasqldrill.apache.org/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAndrey Gershun & Mathias R. WulffApache Software FoundationApache Software Foundation
Initial release201420122014
Current release1.19.0, June 20213.2.0, October 2021
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptScala
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesyes
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.nonono
Secondary indexesnonono
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL SELECT statement is SQL:2003 compliantSQL-like DML and DDL statements
APIs and other access methodsJavaScript APIJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesJavaScriptC++Java
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenone
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageDepending on the underlying data sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesDepending on the underlying data sourceno
User concepts infoAccess controlnoDepending on the underlying data sourceno

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More resources
AlaSQLApache DrillSpark SQL
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