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DBMS > AlaSQL vs. etcd vs. GigaSpaces vs. HEAVY.AI vs. Microsoft Azure SQL Database

System Properties Comparison AlaSQL vs. etcd vs. GigaSpaces vs. HEAVY.AI vs. Microsoft Azure SQL Database

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonetcd  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
DescriptionJavaScript DBMS libraryA distributed reliable key-value storeHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelDocument store
Relational DBMS
Key-value storeDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSRelational DBMS
Secondary database modelsGraph DBMS
Search engine
Spatial DBMSDocument store
Graph DBMS
Spatial 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
Score7.64
Rank#54  Overall
#5  Key-value stores
Score1.02
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score2.10
Rank#126  Overall
#61  Relational DBMS
Score78.40
Rank#15  Overall
#10  Relational DBMS
Websitealasql.orgetcd.io
github.com/­etcd-io/­etcd
www.gigaspaces.comgithub.com/­heavyai/­heavydb
www.heavy.ai
azure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationgithub.com/­AlaSQL/­alasqletcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.gigaspaces.com/­latest/­landing.htmldocs.heavy.aidocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperAndrey Gershun & Mathias R. WulffGigaspaces TechnologiesHEAVY.AI, Inc.Microsoft
Initial release2014200020162010
Current release3.4, August 201915.5, September 20205.10, January 2022V12
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2.0Open Source infoApache Version 2; Commercial licenses availableOpen Source infoApache Version 2; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptGoJava, C++, .NetC++ and CUDAC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)FreeBSD
Linux
Windows infoexperimental
Linux
macOS
Solaris
Windows
Linuxhosted
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenonoyesyesyes
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 infoXML can be used for describing objects metadatanoyes
Secondary indexesnonoyesnoyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noSQL-99 for query and DML statementsyesyes
APIs and other access methodsJavaScript APIgRPC
JSON over HTTP
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
ODBC
Supported programming languagesJavaScript.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C++
Java
Python
Scala
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyesnoTransact SQL
Triggersyesyes, watching key changesyes, event driven architecturenoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesnoneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replicationyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlnonoRole-based access controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
AlaSQLetcdGigaSpacesHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Microsoft Azure SQL Database infoformerly SQL Azure
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