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DBMS > Microsoft Azure Cosmos DB vs. Sadas Engine vs. SAP SQL Anywhere

System Properties Comparison Microsoft Azure Cosmos DB vs. Sadas Engine vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonSadas Engine  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionGlobally distributed, horizontally scalable, multi-model database serviceSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environmentsRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score31.51
Rank#24  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.00
Rank#332  Overall
#135  Relational DBMS
Score5.79
Rank#56  Overall
#32  Relational DBMS
Websiteazure.microsoft.com/­services/­cosmos-dbwww.sadasengine.comwww.sap.com/­products/­sql-anywhere.html
Technical documentationdocs.microsoft.com/­en-us/­azure/­cosmos-dbwww.sadasengine.com/­index.php/­downloads/­documentation-columnar-dbhelp.sap.com/­sql-anywhere
DeveloperMicrosoftSADAS s.r.l.SAP infoformerly Sybase
Initial release201420061992
Current release8.017, July 2015
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedAIX
Linux
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyes infoJSON typesyesyes
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.noyes
Secondary indexesyes infoAll properties auto-indexed by defaultyesyes
SQL infoSupport of SQLSQL-like query languageyesyes
APIs and other access methodsDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
JDBC
ODBC
Proprietary protocol
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languages.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresJavaScriptnoyes, in C/C++, Java, .Net or Perl
TriggersJavaScriptnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenoneMaster-slave replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nono
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-item ACID transactions with snapshot isolation within a partitionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlAccess rights can be defined down to the item levelAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Microsoft Azure Cosmos DB infoformer name was Azure DocumentDBSadas EngineSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
Recent citations in the news

How to do Bulk and Transactional Batch operations with the Azure Cosmos DB .NET SDK - Microsoft
17 January 2020, Channel 9

Ctrl + S (App Center Data) | Partly Cloudy - Microsoft
8 January 2020, Channel 9

Global Document Databases Software Market Competitive Intelligence Insights 2020 – 2024 : MongoDB, Amazon, ArangoDB, Azure Cosmos DB
23 January 2020, NY Telecast 99

5 cloud database comparison tips to guide your data strategy
23 January 2020, TechTarget

Azure Cosmos DB now has support for built-in Jupyter notebooks
1 October 2019, Neowin

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