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DBMS > Microsoft Azure Cosmos DB vs. Vertica

System Properties Comparison Microsoft Azure Cosmos DB vs. Vertica

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Our visitors often compare Microsoft Azure Cosmos DB and Vertica with Amazon Redshift, Snowflake and Microsoft SQL Server.

Editorial information provided by DB-Engines
NameMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionGlobally distributed, horizontally scalable, multi-model database serviceColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score38.52
Rank#26  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score20.45
Rank#35  Overall
#21  Relational DBMS
Websiteazure.microsoft.com/­services/­cosmos-dbwww.vertica.com
Technical documentationdocs.microsoft.com/­azure/­cosmos-dbwww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperMicrosoftVertica / Micro Focus infoprior to that Hewlett Packard
Initial release20142005
Current releaseVertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open Sourcecommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesno infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemshostedLinux
Data schemeschema-freeyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyes infoJSON typesyes
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.yes
Secondary indexesyes infoAll properties auto-indexed by defaultno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLSQL-like query languageyes 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
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languages.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresJavaScriptyes
TriggersJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesSharding 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 serviceMulti-source 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*yes infowith Vertica Connector for Hadoop
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 Consistency
Foreign keys infoReferential integritynoyes
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 datayesyes
Durability infoSupport for making data persistentyesyes
User concepts infoAccess controlAccess rights can be defined down to the item levelfine 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 DocumentDBVertica 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...
» more
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
» more

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More resources
Microsoft Azure Cosmos DB infoformer name was Azure DocumentDBVertica infoVertica Analytics Platform
Recent citations in the news

Azure Cosmos DB: autoscale, session state, monitoring, and more | Azure Friday - Microsoft
24 September 2021, Channel 9

Microsoft to Azure Cosmos DB Users: Your Data May Have Been Exposed
30 August 2021, Redmondmag.com

Microsoft Pulls Azure Cosmos DB Component After Major Security Issue Exposed
27 August 2021, Petri.com

Microsoft Azure Cosmos DB incident underscores the need to closely watch cloud data – Urgent Comms
1 September 2021, Urgent Communications

Microsoft Azure cloud vulnerability is the ‘worst you can imagine’
27 August 2021, The Verge

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20 July 2021, PRNewswire

Enterprise Database Management System (DBMS) Market 2021 Top Leading Player, Demand, Revenue, Statistics and Business Growth Analysis 2028 – Stillwater Current
14 September 2021, Stillwater Current

provided by Google News

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