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DBMS > AlaSQL vs. Google Cloud Datastore vs. Graph Engine vs. Infobright vs. Microsoft Azure SQL Database

System Properties Comparison AlaSQL vs. Google Cloud Datastore vs. Graph Engine vs. Infobright vs. Microsoft Azure SQL Database

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonInfobright  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
DescriptionJavaScript DBMS libraryAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelDocument store
Relational DBMS
Document storeGraph DBMS
Key-value store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Websitealasql.orgcloud.google.com/­datastorewww.graphengine.ioignitetech.com/­softwarelibrary/­infobrightdbazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationgithub.com/­AlaSQL/­alasqlcloud.google.com/­datastore/­docswww.graphengine.io/­docs/­manualdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperAndrey Gershun & Mathias R. WulffGoogleMicrosoftIgnite Technologies Inc.; formerly InfoBright Inc.Microsoft
Initial release20142008201020052010
Current releaseV12
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoMIT Licensecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScript.NET and CCC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hosted.NETLinux
Windows
hosted
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyes, details hereyesyesyes
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.nonononoyes
Secondary indexesnoyesno infoKnowledge Grid Technology used insteadyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-like query language (GQL)noyesyes
APIs and other access methodsJavaScript APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful HTTP APIADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesJavaScript.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
F#
Visual Basic
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnousing Google App EngineyesnoTransact SQL
TriggersyesCallbacks using the Google Apps Enginenonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using PaxosSource-replica replicationyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesfine grained access rights according to SQL-standard

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More resources
AlaSQLGoogle Cloud DatastoreGraph Engine infoformer name: TrinityInfobrightMicrosoft Azure SQL Database infoformerly SQL Azure
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