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DBMS > Microsoft Azure Cosmos DB vs. Microsoft Azure Table Storage vs. SAP SQL Anywhere vs. TiDB

System Properties Comparison Microsoft Azure Cosmos DB vs. Microsoft Azure Table Storage vs. SAP SQL Anywhere vs. TiDB

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Editorial information provided by DB-Engines
NameMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonTiDB  Xexclude from comparison
DescriptionGlobally distributed, horizontally scalable, multi-model database serviceA Wide Column Store for rapid development using massive semi-structured datasetsRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsTiDB is an open source distributed Hybrid Transactional/Analytical Processing (HTAP) database that supports MySQL and Spark SQL syntaxes.
Primary database modelDocument store
Graph DBMS
Key-value store
Wide column store
Wide column storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score31.43
Rank#24  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score4.79
Rank#66  Overall
#5  Wide column stores
Score5.40
Rank#59  Overall
#32  Relational DBMS
Score1.60
Rank#123  Overall
#60  Relational DBMS
Websiteazure.microsoft.com/­services/­cosmos-dbazure.microsoft.com/­en-us/­services/­storage/­tableswww.sap.com/­products/­sql-anywhere.htmlpingcap.com
Technical documentationdocs.microsoft.com/­en-us/­azure/­cosmos-dbhelp.sap.com/­sql-anywherepingcap.com/­docs
DeveloperMicrosoftMicrosoftSAP infoformerly SybasePingCAP, Inc.
Initial release2014201219922016
Current release17, July 20153.0.0, June 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo, Rust
Server operating systemshostedhostedAIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes infoJSON typesyesyesyes
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.noyesno
Secondary indexesyes infoAll properties auto-indexed by defaultnoyesyes
SQL infoSupport of SQLSQL-like query languagenoyesyes
APIs and other access methodsDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
RESTful HTTP APIADO.NET
HTTP API
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
Supported programming languages.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
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 proceduresJavaScriptnoyes, in C/C++, Java, .Net or Perlno
TriggersJavaScriptnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud servicenonehorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Master-slave replication infoDatabase mirroringUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nonoyes infowith TiSpark Connector
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno infocurrently only supported in syntax
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-item ACID transactions with snapshot isolation within a partitionoptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights can be defined down to the item levelAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standardUsers with fine-grained authorization concept. No user groups or roles.
More information provided by the system vendor
Microsoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure Table StorageSAP SQL Anywhere infoformerly called Adaptive Server AnywhereTiDB
Specific characteristicsTiDB is an open source distributed scalable hybrid transactional and analytical processing...
» more
Competitive advantagesIn the current database landscape, infrastructure engineers often have to use one...
» more
Typical application scenariosTiDB is designed to support both OLTP and OLAP scenarios. You can use TiDB , the...
» more
Key customersBank of Beijing (Banking) Mobike (Ridesharing) Toutiao (Media) Ele.me (Catering)...
» more
Market metricsInfoWorld’s 2018 Best of Open Source Software Award winners 15000+ stars on GitHub...
» more
Licensing and pricing modelsOpen Source Apache 2.0 with either commercial licensing or fully-hosted DB-as-a-service...
» more
News

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11 December 2019

NetEase Games: Why We Chose a Distributed SQL Database Alongside MySQL to Break down Data Silos
4 December 2019

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2 December 2019

10x Performance Improvement for Expression Evaluation Made Possible by Vectorized Execution and the Community
29 November 2019

Building a Large-scale Distributed Storage System Based on Raft
20 November 2019

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
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More resources
Microsoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure Table StorageSAP SQL Anywhere infoformerly called Adaptive Server AnywhereTiDB
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Job opportunities

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