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DBMS > AlaSQL vs. ArangoDB vs. MySQL vs. SAP SQL Anywhere

System Properties Comparison AlaSQL vs. ArangoDB vs. MySQL vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonArangoDB  Xexclude from comparisonMySQL  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionJavaScript DBMS libraryA multi-model DBMSWidely used open source RDBMSRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelDocument store
Relational DBMS
Document store
Graph DBMS
Key-value store
Search engine
Relational DBMS infoKey/Value like access via memcached APIRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#218  Overall
#31  Document stores
#105  Relational DBMS
Score4.88
Rank#61  Overall
#11  Document stores
#4  Graph DBMS
#10  Key-value stores
#7  Search engines
Score1283.06
Rank#2  Overall
#2  Relational DBMS
Score5.04
Rank#60  Overall
#33  Relational DBMS
Websitealasql.orgwww.arangodb.comwww.mysql.comwww.sap.com/­products/­sql-anywhere.html
Technical documentationgithub.com/­agershun/­alasqlwww.arangodb.com/­documentationdev.mysql.com/­dochelp.sap.com/­sql-anywhere
DeveloperAndrey Gershun & Mathias R. WulffArangoDB GmbH / triagens GmbHOracle infosince 2010, originally MySQL AB, then SunSAP infoformerly Sybase
Initial release2014201219951992
Current release3.5.0, August 20198.0.18, October 201917, July 2015
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache version 2Open Source infoGPL version 2. Commercial licenses with extended functionallity are availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • Google Cloud SQL: A fully-managed database service for the Google Cloud Platform
  • Azure Database for MySQL: A fully managed, scalable MySQL relational database with high availability and security built in at no extra cost
Implementation languageJavaScriptC, C++, JavaScriptC and C++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Raspbian
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-free infoautomatically recognizes schema within a collectionyesyes
Typing infopredefined data types such as float or datenoyes infostring, double, boolean, list, hashyesyes
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.noyesyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noyes infowith proprietary extensionsyes
APIs and other access methodsJavaScript APIHTTP API
JSON style queries
Proprietary native API
ADO.NET
JDBC
ODBC
HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesJavaScriptC#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoJavaScriptyes infoproprietary syntaxyes, in C/C++, Java, .Net or Perl
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infosince version 2.0horizontal partitioning, sharding with MySQL Cluster or MySQL Fabricnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMaster-slave replicationMaster-master replication
Master-slave replication
Master-slave replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan be done with stored procedures in JavaScriptnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACID infonot for MyISAM storage engineACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyes
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.yesyesyes
User concepts infoAccess controlnoyesUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
AlaSQLArangoDBMySQLSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
News

ArangoDB Hot Backup – Creating consistent cluster-wide snapshots
9 October 2019

ArangoML Pipeline – A Common Metadata Layer for Machine Learning Pipelines
25 September 2019

libgcc: When exceptions collide
19 September 2019

Multi-Model Database ArangoDB 3.5 released – Distributed Joins, Streaming Transactions, extended GraphDB & Search Capabilities
19 August 2019

Welcome Matt Ekstrom, CRO, and Jörg Schad, Head of Engineering & Machine Learning!
14 August 2019

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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