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DBMS > AlaSQL vs. GridGain vs. Spark SQL

System Properties Comparison AlaSQL vs. GridGain vs. Spark SQL

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonGridGain  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionJavaScript DBMS libraryGridGain is an in-memory computing platform, built on Apache IgniteSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Relational DBMS
Key-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#259  Overall
#40  Document stores
#120  Relational DBMS
Score1.53
Rank#155  Overall
#26  Key-value stores
#73  Relational DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Websitealasql.orgwww.gridgain.comspark.apache.org/­sql
Technical documentationgithub.com/­AlaSQL/­alasqlwww.gridgain.com/­docs/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAndrey Gershun & Mathias R. WulffGridGain Systems, Inc.Apache Software Foundation
Initial release201420072014
Current releaseGridGain 8.5.13.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen 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 languageJavaScriptJava, C++, .NetScala
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyes
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.noyesno
Secondary indexesnoyesno
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.ANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statements
APIs and other access methodsJavaScript APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Supported programming languagesJavaScriptC#
C++
Java
PHP
Python
Ruby
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)no
Triggersyesyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlnoSecurity Hooks for custom implementationsno

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More resources
AlaSQLGridGainSpark SQL
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