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DBMS > Google Cloud Datastore vs. Microsoft Azure SQL Database vs. OpenTSDB vs. Sadas Engine vs. searchxml

System Properties Comparison Google Cloud Datastore vs. Microsoft Azure SQL Database vs. OpenTSDB vs. Sadas Engine vs. searchxml

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonOpenTSDB  Xexclude from comparisonSadas Engine  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformDatabase as a Service offering with high compatibility to Microsoft SQL ServerScalable Time Series DBMS based on HBaseSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsDBMS for structured and unstructured content wrapped with an application server
Primary database modelDocument storeRelational DBMSTime Series DBMSRelational DBMSNative XML DBMS
Search engine
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Websitecloud.google.com/­datastoreazure.microsoft.com/­en-us/­products/­azure-sql/­databaseopentsdb.netwww.sadasengine.comwww.searchxml.net/­category/­products
Technical documentationcloud.google.com/­datastore/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqlopentsdb.net/­docs/­build/­html/­index.htmlwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationwww.searchxml.net/­support/­handouts
DeveloperGoogleMicrosoftcurrently maintained by Yahoo and other contributorsSADAS s.r.l.informationpartners gmbh
Initial release20082010201120062015
Current releaseV128.01.0
License infoCommercial or Open SourcecommercialcommercialOpen Source infoLGPLcommercial infofree trial version availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++C++
Server operating systemshostedhostedLinux
Windows
AIX
Linux
Windows
Windows
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes, details hereyesnumeric data for metrics, strings for tagsyesyes
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.noyesnonoyes
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like query language (GQL)yesnoyesno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
HTTP API
Telnet API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Erlang
Go
Java
Python
R
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresusing Google App EngineTransact SQLnonoyes infoon the application server
TriggersCallbacks using the Google Apps Engineyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on HBasehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyes, with always 3 replicas availableselectable replication factor infobased on HBasenoneyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 infobased on HBaseImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDnomultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardnoAccess rights for users, groups and roles according to SQL-standardDomain, group and role-based access control at the document level and for application services

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More resources
Google Cloud DatastoreMicrosoft Azure SQL Database infoformerly SQL AzureOpenTSDBSadas Enginesearchxml
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