Microsoft SQL Pricing & Demo

Microsoft SQL
Online
Washington, USA
1975
More than $100 BN
98
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Microsoft SQL USP

In the data integration software market, Microsoft provides Microsoft Azure Data Factory, a cloud-based data integration service. This orchestrates and automates the process of moving and transforming data. Users can use this data integration service to ingest data from various data sources, transform the data, and load the output to data storage units. Azure Data Factory itself does not store any data, as such. It lets users create datadriven flows to orchestrate the movement of data between supported data stores and processing of data using compute services in other regions or an on-premises environment. Request Microsoft SQL Pricing to get more information.

Summary

The company enables users to create data pipelines that facilitate the process of moving and transforming the data. These data pipelines can be then run on a specified schedule (hourly or weekly basis). Azure Data Factory enables users to visualize data lineage and dependencies between data pipelines; monitor data pipelines and set up monitoring alerts; automate cloud resource management, and connect to on-premises or cloud data sources, using data management gateways. In addition to data movement and transformation, It is enables preparation and partitioning of data. Azure Data Factory further features real-time streaming, machine learning for analytics, and enables custom coding.

360 Quadrants

Strengths and Weaknesses
  • +7 Doesn’t need any code or maintenance
  • +6 Cost efficient
  • +5 SSIS integration
  • +14 Developed on Azure security infrastructure
  • +13 Available globally
  • +12 Batch Integration
  • +13 Data Migration/Conversion (ETL)
  • +14 Delivery - Directly
  • +5 Delivery - Through Partners / Third-Party Vendors
  • +14 Exception Reporting and Notification
  • +14 Hub and Spoke
  • +13 Point-to-Point
  • +6 On-Site Support
  • +7 Remote Support
  • +5 Image
  • +8 Location
  • +13 Per User Basis
  • +7 Speech/Audio
  • +12 Subscription / Licensing
  • +14 Text
  • -12 Improvement
  • -11 Transformation
  • -13 Processing technique
  • -8 Tools provided
  • -9 Delivery
  • -11 Licenses
  • -12 Customer Feedback
  • -11 Level of Support Services
  • -6 Distributed
  • -5 Federated
  • -5 Metadata Management
  • -9 On-Premise
  • -11 Full Time Equivalent
  • -14 Managed Services
  • -11 Other Support Services
  • -9 Data profiling
  • -6 Extract, transform and load (ETL)
  • -7 Energy
  • -14 IT and Telecommunication
  • -11 Retail
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Microsoft SQL presence in Data Integration Software

Microsoft has been an eminent global vendor in providing a diverse set of software, licensing solutions, and hardware products across different verticals for over 3 decades now. Among the Fortune 500 companies, 80% of them are on Microsoft Cloud. Enabling business users has been one of the key priorities of Microsoft, which is evident through its R&D efforts in the data integration market. In order to cater to the demands of its clientele base, the company spent 13% of its revenue on R&D in 2016. Through this investment, the company has succeeded in delivering innovative data integration, data management products, and new cloud services in this market. In March 2016, Microsoft released a preview version of Azure Data Factory (ADF) Copy Wizard for interactive and code-free data movement experience. With this release, customers could easily move data between Azure BlobStorage, Azure SQL, Azure SQL DW, Azure Data Lake, and On-Premises SQL Server, using a simple and code-free wizard. Another development saw the release of ADF Monitoring & Management (M&M) App in February 2016. With this release, users could easily monitor and manage their data factory pipelines using the completely redesigned M&M App. Microsoft has been working toward comprehensively becoming an exclusive mobile and cloud service provider, which reflects through its Mobile First, Cloud First strategy. In this pursuit, the company launched ADF, a cloud service for data integration, which automates the process of aggregating data from multiple sources, so that it could be analyzed later.

Microsoft SQL Reviews

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Buyer, Finance, SME

5
Jun 12, 2019

“Data transfer”

Microsoft Data Factory offers effective and robust data transfer by using the full capacity of primary network bandwidth, delivering up to 1.5 GB/s throughput.
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Buyer, Media & Entertainment, SME

5
Jun 12, 2019

“Accessibility”

It can access more than 80 prebuilt connectors which includes Azure data services, on-premises data sources, Amazon S3 and Redshift and Google BigQuery without any additional cost is really amazing.
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Buyer, Manufacturing, SME

5
Jun 12, 2019

“Reduce overhead costs”

The in-built feature in the tool allows the easy movement of Server Integration Services (SSIS) ETL workloads to the cloud with the use of Azure-SSIS integration runtime in a time efficient manner with less efforts.
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Buyer, Healthcare, SME

5
Jun 12, 2019

“Improve productivity with shorter time to market”

It can create easy and complete ETL and ELT processes without any coding and maintenance. It process, ingest mover and prepare the data in just few clicks and finish the data modelling with the visual environment.
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Buyer, Transportation and Logistics, SME

5
Jun 12, 2019

“Integration”

I liked the integration with the .NET framework where developers can use the C language features versus TRAN sql. The other impressive features were event handling and data Source/Destination wizards.
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Top Features

  1. Product Features and Functionality / Features offered
  2. Product Features and Functionality / Features
  3. Features offered / Data Migration/Conversion (ETL)
  4. Product Features and Functionality / Architetcure
  5. Product Offerings / Extract, transform and load (ETL)
  6. Product Offerings / Master data management (MDM)
  7. Features offered / Real Time Integration
  8. Services Offered / Training, Support and maintanence services
  9. Services Offered / Other Professional Services
  10. Services Offered / Consulting services
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