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DBMS > AlaSQL vs. Google BigQuery vs. Hazelcast vs. MySQL

System Properties Comparison AlaSQL vs. Google BigQuery vs. Hazelcast vs. MySQL

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonHazelcast  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionJavaScript DBMS libraryLarge scale data warehouse service with append-only tablesA widely adopted in-memory data gridWidely used open source RDBMS
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value storeRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.53
Rank#258  Overall
#40  Document stores
#119  Relational DBMS
Score62.67
Rank#19  Overall
#13  Relational DBMS
Score7.66
Rank#54  Overall
#5  Key-value stores
Score1101.50
Rank#2  Overall
#2  Relational DBMS
Websitealasql.orgcloud.google.com/­bigqueryhazelcast.comwww.mysql.com
Technical documentationgithub.com/­AlaSQL/­alasqlcloud.google.com/­bigquery/­docshazelcast.org/­imdg/­docsdev.mysql.com/­doc
DeveloperAndrey Gershun & Mathias R. WulffGoogleHazelcastOracle infosince 2010, originally MySQL AB, then Sun
Initial release2014201020081995
Current release5.3.6, November 20238.3.0, January 2024
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGPL version 2. Commercial licenses with extended functionallity are available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageJavaScriptJavaC and C++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedAll OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyes
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.nonoyes infothe object must implement a serialization strategyyes
Secondary indexesnonoyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yesSQL-like query languageyes infowith proprietary extensions
APIs and other access methodsJavaScript APIRESTful HTTP/JSON APIJCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesJavaScript.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptyes infoEvent Listeners, Executor Servicesyes infoproprietary syntax
Triggersyesnoyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoReplicated MapMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageno infoSince BigQuery is designed for querying dataone or two-phase-commit; repeatable reads; read commitedACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
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.yesnoyesyes
User concepts infoAccess controlnoAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Role-based access controlUsers with fine-grained authorization concept infono user groups or roles

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More resources
AlaSQLGoogle BigQueryHazelcastMySQL
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