How does Microsoft ETL & Data Integration perform on certain components?
In our study, we looked in detail at the different products of Microsoft ETL & Data Integration software. More than 290 criteria were used in the process. The bar graph below shows the scores (on a scale of 1-5) of Microsoft Products, compared to other ETL & Data Integration tools. Please note that Passionned Group is 100% independent of the software vendors in the study. We are not a reseller, we do not make deals or have any legal ties to the vendor. Among other things, we help and advise organizations in selecting the right ETL & Data Integration platform.
Figure 1: Scorecard of the Data Integration provider Microsoft. A maximum of 100% can be obtained. Reference: The ETL & Data Integration Guide 2024. Do you want to take a deep dive into our research design? Check out our buyers guide for ETL & Data Integration.
The Microsoft analysis was done by collecting large amounts of publicly accessible data and from there scrutinized in detail. More than 2,827 documents have been scanned from this software vendor in recent times. In this process, both AI models and the critical eye of a senior Data Integration expert played an important role in performing the validation.The ETL & Data Integration Guide 2024 In our 100% vendor-neutral ETL & Data Integration Guide we have researched all the ins and outs of Microsoft for you. You will get access to many (short) courses, tutorials, tech talks, lectures, demos, and always have the latest ETL & Data Integration news at your fingertips. This mini-course also assists you reinforce your expertise in ETL & Data Integration.
Microsoft and their complete ETL & Data Integration product portfolio
Microsoft carries (a minimum of) 26 products in the field of ETL & Data Integration. Below, we list Microsoft’s products in order of relevance:
What is Microsoft Products?
We do not display all the features here but, in this paragraph, we display the details of Microsoft Products, including some of its features and any related products. This product group consists of Azure Data Factory, Sql Server Integration Services, Microsoft Azure, Azure Synapse Analytics, Azure Data Lake, DQS, Microsoft Dataverse, Azure Databricks, Azure Purview, Azure Data Studio, Microsoft Power Platform, Azure Data Catalog, Azure Data Explorer, Microsoft Sql Server Replication, Sql Data Sync, Azure Data Services, Azure Integration Services, Sql Server Data Quality, Microsoft Purview, Microsoft Fabric, Sql Server Database Replication, Azure Data Warehouse, Azure Blob Storage, Azure SQL Server Replication, and Microsoft Azure Synapse Analytics. The product Microsoft Products can be best defined by the following features:
- operating system
- security
- windows
Are you curious about all the functions (100+) of Microsoft Products? In that case, order the ETL & Data Integration Guide™ 2024 here.
Do you want to hire an experienced Microsoft Products specialist?
Are you considering hiring an external consultant specialized in Microsoft Products who can do a mountain of work for you, and can help you to implement a beautiful Microsoft Products application? You can always call on the Microsoft Products specialists at Passionned Group. Indeed, hiring Microsoft Products developers can be inconvenient in some cases and also costly. Drop a message here and we’ll get back to you quickly.
What is Azure Data Factory?
This product is also known as: Data Factory
In this part, we provide a description of Azure Data Factory, including some of its features and any related products. This product/group of products can be defined by the following characteristics:
- big data
- data integration
- data integration platform
- data sources
- ETL
- ETL processes
- SDK
- security
- sql server
- windows
Are you curious about all elements (100+) of Azure Data Factory? In that case, open the ETL & Data Integration Guide™ 2024 here.
What is Sql Server Integration Services?
This product is also known as: SSIS
In this paragraph, we describe Sql Server Integration Services, including some of its features and any related products. The product Sql Server Integration Services can be best characterized by the following features:
- data extraction
- data integration
- data migration
- data sources
- ETL
- microsoft sql server
- SQL
- sql server
- windows
- XML
Do you want to know everything about all elements (100+) of Sql Server Integration Services? Then download our ETL & Data Integration Guide™ 2024 here.
What is Microsoft Azure?
In this section, we report the (main) characteristics of Microsoft Azure, including some of its features and any related products. Microsoft Azure can be best characterized by the following features:
- data management
- linux
- security
- windows
- windows server
Do you want to know the intricacies of all elements (100+) of Microsoft Azure? Download the ETL & Data Integration Guide™ 2024 here.
What is Azure Synapse Analytics?
This product is also known as: Synapse Analytics
Under this heading, we report the (main) characteristics of Azure Synapse Analytics, including some of its features and any related products. Azure Synapse Analytics can be best defined by the following properties:
- apache
- apache spark
- big data
- big data analytics
- CSV
- data warehouse
- enterprise data warehousing
- security
- SQL
- windows
Do you want to know everything about all the functionalities (100+) of Azure Synapse Analytics? Download the ETL & Data Integration Guide™ 2024 here.
What is Azure Data Lake?
We don’t reveal everything here but, in this paragraph, we display the details of Azure Data Lake, including some of its features and any related products. This product/group of products can be defined by the following characteristics:
- big data
- big data analytics
- data lakes
- data pipelines
- data transformation
- hadoop
- security
- SQL
Are you curious about all the functions (100+) of Azure Data Lake? Then order the ETL & Data Integration Guide™ 2024 here.
What is DQS?
In this part, we give you insight into the key behaviors of DQS, including some of its features and any related products. The product DQS can be defined by the following functionalities:
- data cleansing
- data management
- data matching
- data profiling
- data quality
- data sources
- metadata
- microsoft sql server
- SQL
- sql server
Do you want to know the intricacies of all properties (100+) of DQS? Then download our ETL & Data Integration Guide™ 2024 here.
What is Microsoft Dataverse?
We do not display all the features here but, in this paragraph, we describe Microsoft Dataverse, including some of its features and any related products. Microsoft Dataverse can be best characterized by the following features:
- business rules
- data governance
- data management
- data pipelines
- master data
- security
- SQL
- sql server
Are you curious about all features (100+) of Microsoft Dataverse? Download the ETL & Data Integration Guide™ 2024 here.
What is Azure Databricks?
In this section, we portray Azure Databricks, including some of its features and any related products. This product/group of products can be best characterized by the following characteristics:
- apache
- apache spark
- API
- big data processing
- BLOB
- generative AI
- GIT
- open source
- rest API
- security
Are you now curious about all the functionalities (100+) of Azure Databricks? In that case, order the ETL & Data Integration Guide™ 2024 here.
What is Azure Purview?
Under this heading, we report the (main) characteristics of Azure Purview, including some of its features and any related products. This product/group of products can be characterized by the following characteristics:
- data catalog
- data governance
- data lineage
- data protection
- data sources
- JSON
- metadata
- security
- SQL
- sql server
Do you want to know the intricacies of all properties (100+) of Azure Purview? Download the ETL & Data Integration Guide™ 2024 here.
What is Azure Data Studio?
Under this heading, we provide a description of Azure Data Studio, including some of its features and any related products. This product can be best defined by the following properties:
- data management
- linux
- microsoft sql server
- mysql
- open source
- postgresql
- SDK
- SQL
- sql server
- windows
Are you now curious about all elements (100+) of Azure Data Studio? Then order the ETL & Data Integration Guide™ 2024 here.
What is Microsoft Power Platform?
In this paragraph, we describe Microsoft Power Platform, including some of its features and any related products. This product can be best characterized by the following functionalities:
- data sources
- generative AI
- interoperability
- security
Do you want to know the intricacies of all the functions (100+) of Microsoft Power Platform? In that case, order the ETL & Data Integration Guide™ 2024 here.
What is Azure Data Catalog?
In this section, we portray Azure Data Catalog, including some of its features and any related products. This product can be best defined by the following characteristics:
- API
- big data
- business glossary
- data catalog
- data governance
- data sources
- metadata
- rest API
- SQL
- sql server
Are you curious about all features (100+) of Azure Data Catalog? Then order the ETL & Data Integration Guide™ 2024 here.
What is Azure Data Explorer?
Under this heading, we provide a description of Azure Data Explorer, including some of its features and any related products. This product can be characterized by the following functionalities:
- apache
- API
- big data
- big data analytics
- data ingestion
- data management
- linux
- SQL
- windows
Are you curious about all elements (100+) of Azure Data Explorer? Download directly our ETL & Data Integration Guide™ 2024 here.
What is Microsoft Sql Server Replication?
This product is also known as: Sql Server Replication
In this paragraph, we provide a description of Microsoft Sql Server Replication, including some of its features and any related products. Microsoft Sql Server Replication can be best defined by the following functionalities:
- microsoft sql server
- SQL
- sql replication
- sql server
- transactional replication
- windows
Are you curious about all features (100+) of Microsoft Sql Server Replication? In that case, open the ETL & Data Integration Guide™ 2024 here.
What is Sql Data Sync?
In this paragraph, we report the (main) characteristics of Sql Data Sync, including some of its features and any related products. This product can be characterized by the following features:
- authentication
- data management
- data synchronization
- microsoft sql server
- SQL
- sql server
- windows
Do you want to know the intricacies of all characteristics (100+) of Sql Data Sync? Open the ETL & Data Integration Guide™ 2024 here.
What is Azure Data Services?
We don’t reveal everything here but, in this paragraph, we describe the key elements of Azure Data Services, including some of its features and any related products. The product Azure Data Services can be characterized by the following properties:
- API
- data integration
- interoperability
- mysql
- nosql
- postgresql
- SQL
- sql server
Do you want to know everything about all elements (100+) of Azure Data Services? In that case, open the ETL & Data Integration Guide™ 2024 here.
What is Azure Integration Services?
We do not display all the features here but, in this paragraph, we describe the key elements of Azure Integration Services, including some of its features and any related products. This product/group of products can be best characterized by the following features:
- API
- data integration
- data sources
- data synchronization
- SQL
- sql server
Do you want to know the intricacies of all the functions (100+) of Azure Integration Services? Then download our ETL & Data Integration Guide™ 2024 here.
What is Sql Server Data Quality?
We do not display all the features here but, in this paragraph, we describe the key elements of Sql Server Data Quality, including some of its features and any related products. This product can be best characterized by the following features:
- data integration
- data quality
- data warehouse
- JSON
- master data
- microsoft sql server
- security
- SQL
- sql server
- windows
Are you curious about all elements (100+) of Sql Server Data Quality? Then download our ETL & Data Integration Guide™ 2024 here.
What is Microsoft Purview?
We do not display all the features here but, in this paragraph, we portray Microsoft Purview, including some of its features and any related products. Microsoft Purview can be best characterized by the following features:
- data catalog
- data governance
- data lineage
- data management
- data protection
- security
- SQL
Do you want to know the intricacies of all the functionalities (100+) of Microsoft Purview? Then download our ETL & Data Integration Guide™ 2024 here.
What is Microsoft Fabric?
Under this heading, we report the (main) characteristics of Microsoft Fabric, including some of its features and any related products. This product can be characterized by the following features:
- data governance
- data integration
- data lakes
- data pipelines
- data transformation
- data warehouse
- ETL
- SQL
Do you want to know everything about all the functionalities (100+) of Microsoft Fabric? In that case, order the ETL & Data Integration Guide™ 2024 here.
What is Sql Server Database Replication?
We don’t reveal everything here but, in this paragraph, we describe Sql Server Database Replication, including some of its features and any related products. Sql Server Database Replication can be defined by the following characteristics:
- database replication
- data replication
- microsoft sql server
- real time
- security
- SQL
- sql replication
- sql server
- transactional replication
- windows
Are you curious about all the functionalities (100+) of Sql Server Database Replication? Download the ETL & Data Integration Guide™ 2024 here.
What is Azure Data Warehouse?
In this section, we provide a description of Azure Data Warehouse, including some of its features and any related products. This product can be defined by the following characteristics:
- apache
- apache spark
- big data
- big data analytics
- data warehouse
- enterprise data warehousing
- real-time data
- real-time data streaming
- security
- SQL
Are you now curious about all elements (100+) of Azure Data Warehouse? In that case, order the ETL & Data Integration Guide™ 2024 here.
What is Azure Blob Storage?
In this paragraph, we describe the key elements of Azure Blob Storage, including some of its features and any related products. This product/group of products can be best characterized by the following characteristics:
- big data
- big data analytics
- BLOB
- data lakes
- data transfer
- security
Do you want to know the intricacies of all properties (100+) of Azure Blob Storage? Then download our ETL & Data Integration Guide™ 2024 here.
What is Azure SQL Server Replication?
We do not display all the features here but, in this paragraph, we portray Azure SQL Server Replication, including some of its features and any related products. The product Azure SQL Server Replication can be characterized by the following features:
- authentication
- data migration
- data replication
- microsoft sql server
- mysql
- SQL
- sql replication
- sql server
- transactional replication
- windows
Do you want to know everything about all elements (100+) of Azure SQL Server Replication? In that case, open the ETL & Data Integration Guide™ 2024 here.
What is Microsoft Azure Synapse Analytics?
Under this heading, we report the (main) characteristics of Microsoft Azure Synapse Analytics, including some of its features and any related products. Microsoft Azure Synapse Analytics can be defined by the following features:
- apache
- apache spark
- big data
- big data analytics
- data integration
- data warehouse
- enterprise data warehousing
- linux
- security
- SQL
Are you curious about all the functionalities (100+) of Microsoft Azure Synapse Analytics? Download the ETL & Data Integration Guide™ 2024 here.
Three recent innovations of Microsoft Products tools and the version history
Lately, we see a negative development in terms of ETL & Data Integration functionality and support for operating systems, cloud platforms, and connectivity. The latest innovations are in the areas of data quality management > reverse geocoding, data replication > position-based replication, and data governance > test data > generating test data.
We investigated Microsoft’s current releases of its complete ETL & Data Integration proposition. Below we give an overview of the various releases of all available ETL & Data Integration products of Microsoft:
- Azure Data Catalog: 2024
- Azure Data Explorer: 101
- Azure Data Factory: January 2023 November 2022 October 2022 July 2022 June 2022 2024 1
- Azure Data Studio: 1.48.0 1.48 1.47.0 1.46.1 1.41.2 1.41 1
- Azure Databricks: 30
- Azure Synapse Analytics: April 2023 February 2023 December 2022 July 2022 May 2022 March 2022 January 2022 November 2021 October 2021
- Data Factory: February 2023 June 2022
- Microsoft Dataverse: 2024 2023 2022 2021
- Microsoft Fabric: June 2024 May 2024 April 2024 March 2024 February 2024 December 2023 November 2023 October 2023 August 2023 July 2023
- Microsoft Power Platform: 2024 2023 2022 36
- Microsoft Products: 2022 365
- Sql Data Sync: 2.0
- Sql Server Integration Services: 13.0
Behind each product, we show the version numbers, the most recent versions are mentioned first.
Can you easily determine the licensing costs of Azure Data Factory, Sql Server Integration Services, and Microsoft Azure?
It is difficult to determine exactly how much a license of Azure Data Factory, Sql Server Integration Services, and Microsoft Azure costs because it depends on the country, the number of users, the connectors to data sources, and at what point in the year you request a quote. If you do this a few weeks before the end of Microsoft’s fiscal quarter, you may be in for a decent discount. As part of a cloud-first strategy, it makes sense to run the software in the cloud. Often you only pay for what you consume in resources. The purchase cost of Azure Data Factory, Sql Server Integration Services, and Microsoft Azure may not be the most important costs, but maintenance and support do show up in your budget every year.
What makes Microsoft ETL & Data Integration distinctive
In our study, we see that Microsoft in the field of ETL & Data Integration software has several specific features and thus differentiates itself from the competition. This makes Microsoft Products more or less unique: serverless data integration service, generating test data, corporate data integration, native cloud, and file replication.
The advantages and disadvantages of Microsoft Products
Figure 80: Tag cloud of the pros and cons of Microsoft ETL & Data Integration
Get to know the key features of Microsoft ETL & Data Integration in the following topic paragraphs. There we describe all the pros and cons of Microsoft ETL & Data Integration, Azure Data Factory, Sql Server Integration Services, and Microsoft Azure, et cetera. This overview and scores are not rigid: Microsoft can currently work on creating new capabilities (such as support for quickbooks, database replication, SOQL, autonomous data warehouse, and EAI). Or a certain feature is not (yet) (well) documented.
Share your opinion about Microsoft here
Leave a review about Microsoft ETL & Data Integration here. Your findings may then come into consideration in an even better assessment of the performance of Microsoft Products.
1. Microsoft Data Integration
The vendor Microsoft has an excellent score in our independent ETL & Data Integration survey of the theme ‘Data Integration’. The score amounts to 99%, compared to other vendors. We looked at the following criteria, among others: data warehouse, data integration platform, and data integrity. In doing so, we analyzed the following four products: Sql Server Integration Services, Azure Data Factory, Microsoft Azure Synapse Analytics, and Microsoft Fabric. In total, we examined 167 selection criteria within this main theme. Would you like to go into more depth with the subject ‘Data Integration’? Then download here our ETL & Data Integration Guide 2024.
2. Microsoft Data Infrastructure
The vendor Microsoft has an excellent score in our recently updated, independent ETL & Data Integration study on the section ‘Data Infrastructure’ with a score of 93%, relative to other vendors. We considered the following factors: security, rest API, operating system, data virtualization, interoperability, data transfer, and cloud platforms. In total, we examined 87 features within this discipline. Would you like to go into more depth with the subject ‘Data Infrastructure’? Then download here our ETL & Data Integration Study 2024. Or learn more about the following topics:
3. Microsoft Data Management
Microsoft has an excellent score in our objective ETL & Data Integration survey on the subject ‘Data Management’, given that they score 91% on this, relative to other vendors. The following criteria were used: data sources and real time. In doing so, we analyzed the following products: Azure Data Studio. In total, we examined 71 features within this discipline. Would you like to go into more depth with the subject ‘Data Management’? Then download here our ETL & Data Integration Guide.
4. Microsoft Data Connectivity
The company has an excellent score in our study on the subject ‘Data Connectivity’. The score amounts to 88%, compared to other vendors. We considered the following factors: microsoft sql server, teradata, amazon redshift, FTP, GIT, FTPS, and postgresql. In total, we examined 50 features within this discipline. Are you planning to specialize further in the subject ‘Data Connectivity’? Then download here our ETL & Data Integration Guide 2024.
5. Microsoft Data Replication
Microsoft has an excellent score in our study on the subject ‘Data Replication’, given that they score 87% on this, relative to other vendors. We considered the following factors: data synchronization, database replication, sql replication, transactional replication, replication model, file replication, and data replication tasks. In total, we examined 32 criteria within this section. Would you like to go into more depth with the subject ‘Data Replication’? Then download here our ETL & Data Integration Guide.
6. Microsoft Data Governance
Microsoft has a good rating in our study on the subject ‘Data Governance’, given that they score 79% on this, compared to other vendors. We looked at the following criteria, among others: dataops, data protection, data privacy, test data, data anonymization, generative AI, and synthetic data. In doing so, we investigated the following two products: Azure Purview and Microsoft Purview. In total, we examined 15 features within this discipline. Would you like to become more proficient in the subject ‘Data Governance’? Then download here our ETL & Data Integration Guide.
7. Microsoft Metadata Management
Microsoft has a good score in our study on the subject ‘Metadata Management’ with a score of 78%, compared to other vendors. We used the following selection criteria: metadata, data catalog, data lineage, enterprise data catalog, metadata repository, and impact analysis. In total, we examined 7 aspects in this category. Would you like to delve further into the subject ‘Metadata Management’? Then download here our ETL & Data Integration Guide.
8. Microsoft Data Quality Management
Microsoft has a good score in our 100% vendor-independent ETL & Data Integration survey on the subject ‘Data Quality Management’. The company scores 64% on this topic, compared to other vendors. We considered the following factors: data quality, data profiling, data cleansing, data quality rules, address verification, financial data quality, and data matching. In total, we examined 28 selection criteria within this main theme. Are you planning to specialize further in the subject ‘Data Quality Management’? Then download here our ETL & Data Integration Study. Or learn more about the following topics:
9. Microsoft Self-service Integration
Microsoft has a good score in our 100% vendor-independent ETL & Data Integration survey on the section ‘Self-service Integration’, given that they score 60% on this, relative to other vendors. The following criteria were used: self-service data preparation and self-service data integration. In total, we examined 8 aspects in this category. Are you planning to specialize further in the subject ‘Self-service Integration’? Then download here our ETL & Data Integration Guide 2024.
10. Microsoft Master Data Management
The company has a moderate rating in our current ETL & Data Integration survey of the theme ‘Master Data Management’. The score amounts to 47%, relative to other vendors. The following criteria were used: master data, master data integration, location data, master data quality, master data replication, employee master data, and customer master data. In total, we examined 16 criteria within this section. Would you like to learn more about the subject ‘Master Data Management’? Then download here our ETL & Data Integration Guide. Or learn more about the following topics:
Want to know more? Then take a look at our ETL & Data Integration Guide™ 2024 here
The footprint of Microsoft ETL & Data Integration in different sectors
In our vendor-neutral ETL study, we also found out which industries a supplier has a track record in. These are the industries where Microsoft has the largest footprint: airlines, food, higher education, retail banks, and telecom.
Microsoft software is most used by…
The ETL & Data Integration software from Microsoft is most often mentioned in combination with the following function: data engineers.
Hire a qualified Microsoft programmer
Training and courses Microsoft ETL & Data Integration
The specialists at Passionned Group organize various courses in the area of ETL & Data Integration but can also provide specific Microsoft training, for instance as in-company. We assist you in exploring the following software: Azure Data Factory, Sql Server Integration Services, and Microsoft Azure. Of course, we color such a training with the ideas of the intelligent, data-driven organization.
Final judgment: Microsoft Products scores eminent
Microsoft has a extensive product portfolio with which it scores eminent in our ETL & Data Integration survey. Microsoft ETL & Data Integration innovates (approximately) at an average rate of more than 15 features per year, is active (for now) in many different sectors, and growing high in the field of data integration.