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DBMS > AlaSQL vs. Apache Drill vs. Apache Druid vs. Linter vs. Spark SQL

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

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonApache Drill  Xexclude from comparisonApache Druid  Xexclude from comparisonLinter  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionJavaScript DBMS librarySchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataRDBMS for high security requirementsSpark 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
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsSpatial 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
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitealasql.orgdrill.apache.orgdruid.apache.orglinter.ruspark.apache.org/­sql
Technical documentationgithub.com/­AlaSQL/­alasqldrill.apache.org/­docsdruid.apache.org/­docs/­latest/­designspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAndrey Gershun & Mathias R. WulffApache Software FoundationApache Software Foundation and contributorsrelex.ruApache Software Foundation
Initial release20142012201219902014
Current release1.20.3, January 202329.0.1, April 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2Open Source infoApache license v2commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaC and C++Scala
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Linux
OS X
Unix
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyes infoschema-less columns are supportedyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nonononono
Secondary indexesnonoyesyesno
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL SELECT statement is SQL:2003 compliantSQL for queryingyesSQL-like DML and DDL statements
APIs and other access methodsJavaScript APIJDBC
ODBC
RESTful HTTP API
JDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
JDBC
ODBC
Supported programming languagesJavaScriptC++Clojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Java
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functionsnoyes infoproprietary syntax with the possibility to convert from PL/SQLno
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infomanual/auto, time-basednoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, via HDFS, S3 or other storage enginesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesDepending on the underlying data sourcenono
User concepts infoAccess controlnoDepending on the underlying data sourceRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardno

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More resources
AlaSQLApache DrillApache DruidLinterSpark SQL
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