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DBMS > Microsoft Azure Cosmos DB vs. Microsoft Azure Table Storage vs. Vertica

System Properties Comparison Microsoft Azure Cosmos DB vs. Microsoft Azure Table Storage vs. Vertica

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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 comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionGlobally distributed, horizontally scalable, multi-model database serviceA Wide Column Store for rapid development using massive semi-structured datasetsColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelDocument store
Graph DBMS
Key-value store
Wide column store
Wide column storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.87
Rank#24  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score4.16
Rank#67  Overall
#5  Wide column stores
Score22.55
Rank#29  Overall
#17  Relational DBMS
Websiteazure.microsoft.com/­services/­cosmos-dbazure.microsoft.com/­en-us/­services/­storage/­tableswww.vertica.com
Technical documentationdocs.microsoft.com/­en-us/­azure/­cosmos-dbwww.vertica.com/­documentation/­vertica
DeveloperMicrosoftMicrosoftVertica / Micro Focus infoprior to that Hewlett Packard
Initial release201420122005
Current releaseVertica Analytics Platform 9.2.x, March 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesyesno infoavailable on Amazon AWS and Microsoft Azure
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemshostedhostedLinux
Data schemeschema-freeschema-freeyes infoUnstructured data can be stored in specific Flex-Tables
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 defaultnono infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLSQL-like query languagenoyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
RESTful HTTP APIKafka
Proprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
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++
Java
Perl
Python
R
Server-side scripts infoStored proceduresJavaScriptnoyes
TriggersJavaScriptnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud serviceSharding infoSegmentation, Projection Segmentation, Hash Segmentation
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-master replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*noyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Consistent Prefix
Session Consistency
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-item ACID transactions with snapshot isolation within a partitionoptimistic lockingACID
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.no
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-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Microsoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure Table StorageVertica infoVertica Analytics Platform
Specific characteristicsColumnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesPerformance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are available
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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More resources
Microsoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure Table StorageVertica infoVertica Analytics Platform
Recent citations in the news

Azure Cosmos DB update for August 2019 | Azure Friday - Microsoft
30 August 2019, Channel 9

Microsoft Previews Azure Private Link for Service Connections
18 September 2019, Redmondmag.com

NoSQL Databases Software Market looks to expand its size in Overseas Market | MongoDB, Amazon, ArangoDB, Azure Cosmos
18 September 2019, OnYourDesks

Global Document Databases Software Market 2019 Industry Status MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase
16 September 2019, Herald Writer 24

Document Databases Software Market Is Booming Worldwide | MongoDB, Amazon, ArangoDB, Azure Cosmos DB
12 September 2019, Indian Columnist

provided by Google News

How to use Azure Table storage in .Net
14 January 2019, InfoWorld

Writing Tests for Azure Functions | On .NET - Microsoft
26 November 2018, Channel 9

Good news: Microsoft's Azure Data Box Disk is here. Bad news: UK South Storage is having a liedown
10 January 2019, The Register

Talend Introduces Fast, Frictionless Data Loading for Microsoft Azure
8 February 2019, MarTech Advisor

Writing server-side code in Azure Cosmos DB
30 April 2019, InfoWorld

provided by Google News

Micro Focus Announces Vertica in Eon Mode for Pure Storage
18 September 2019, DevOps.com

Micro Focus Releases Vertica in Eon Mode for Pure Storage | StorageReview.com
17 September 2019, StorageReview.com

The Current State of Database Technology (VIDEO)
20 August 2019, Database Trends and Applications

Diamanti Appoints Andrew Wild as Chief Revenue Officer
18 September 2019, Yahoo Finance

Struggling Micro Focus may sell off Autonomy | Business
30 August 2019, The Times

provided by Google News

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