I like SQL post, which is for storage and distributed computing. Another good feature is the copy activity.

Synapses are very good and can deal with petabytes of data. 

The solution has far better synapse analytics than Redshift. 

The solution handles single or complex items within a second. 

Power BI is a great management tool that has email in the synapse itself so you can move regulations. 

The good thing about Synapse is the scale factor. It can handle a lot more volume of data compared to Azure SQL. There is Azure SQL, and there is a SQL Data Warehouse, which is now called Synapse. SQL is for smaller databases, and SQL Data Warehouse (Synapse) is for larger databases. Performance-wise, if you process a huge amount of data, SQL Data Warehouse is good due to its parallel processing capability. It's scalable. 

The setup is pretty simple. 

It's stable. 

Its scalability and ease of use are valuable. It is fairly simple for a tool that's that powerful. If you have a background in Microsoft SQL Server, it is a very easy-to-transition path.

The platform has multiple valuable use cases. They include performance, compatibility, flexibility, and cost.

Azure Synapse combines the strengths of SQL technologies for effective enterprise data management. So, essentially, it excels in managing enterprise data.

The feature I like depends on what I'm doing. I go online to check how to do something and then use the features I need. They're all quite helpful.

I use it for data warehousing, so the SQL pool is a good feature to start with, and the pipeline easily aggregates data in the data flow. I also use the data flow tool, the pipeline, and connect it to PySpark for analytics.

The solution is like a marketplace in that it's easy to consume. 

It's scalable; you can scale up and scale down.

The standard things that you see from any cloud perspective make it very attractive.

It is easy to set up.

It is a highly stable solution and it's easy to use. 

The most valuable feature of Microsoft Azure Synapse Analytics is its integration with the new legacy systems. Whatever application we want to integrate, we receive the reports based on the objects. The solution is easy to purchase from the cloud.

The solution offers great flexibility and the resource availability is quite good. It's abundant in the market. 

The initial setup is very simple.

Synapse makes it easy to integrate and onboard data from other Microsoft and Azure sources. The interface is familiar because we were using Azure Data Factory before Synapse. It made the transition even easier because the Synapse interface is exactly the same. 

The most advantageous aspect of Microsoft Azure Synapse Analytics is its simplified data transformation process compared to traditional databases. This makes data cleansing and transformation more manageable and straightforward, which we appreciate. It is much easier to build as well.

The best thing about it is that it has integration at multiple places. It can talk to more than 90 types of data sources, which is one good thing about it.

We find the serverless tool the most valuable feature we're currently exploring.

The solution's best feature is its predictive analytics. 

Synapse Analytics' best feature is its ability to process large files.

I like the simplicity of the integration of the data and the variety of the language you can use to integrate that.

It offers a straightforward setup.

The solution can scale.

Its stability is good.

This is a stable solution with many functionalities.

What I found most valuable in Microsoft Azure Synapse Analytics is that it's native only for Azure, so you get better performance and there's no issue. To explain further, many different types of data come, in particular, structured and unstructured data. For audit purposes, there's also unstructured data, so the most important aspect is that with Microsoft Azure Synapse Analytics, you have the capability of using both technologies, meaning that you can use or mix structured and unstructured data which is important. This can also be done in Hadoop, and on other platforms, so you have everything in one place. You don't have to worry about how to manage both structured and unstructured data and where to store information. With Microsoft Azure Synapse Analytics, you can take care of everything, particularly in Azure.

The solution also provides you with many features apart from analytics, for example, storage which makes it better.

Data can be stored any way you want in the data warehouse. Some customers want monolayers which we add with no issues.

The solution is very fast. 

It is reasonably easy to work within the solution. 

The most valuable features of Microsoft Azure Synapse Analytics are its serverless flexibility and complete power have allowed me to explore various different use cases. While I am not an expert in the product, my experience in programming in Databricks has shown me that Microsoft's investments in Synapse could potentially lead to it becoming a complete replacement for Databricks in the future.

The most valuable feature of Microsoft Azure Synapse Analytics is the pipeline that is the ETL tool. It's very well designed and is overall very good. We usually don't use the ETL tool in Databricks, but we use the ETL tool in this solution.

The SQL features in the solution are very good.

I like the keynotes and their simplicity. Like other Microsoft products, Microsoft Azure Synapse Analytics is simple to understand and use.

The most valuable features of Microsoft Azure Synapse Analytics are the interface and the agility of the on-cloud platform.

It's feature-rich. It has a wide range of features. 

The usability has been excellent. 

It offers good integration. 

The product works well with other Azure products.

The initial setup is very convenient.

It is scalable.

We have found the solution to be stable. 

The security is fine.

The solution offers strong scalability opportunities.

The most valuable aspect of this Microsoft Azure Synapse Analytics is its consolidation of technical support from Microsoft, and its ability to securely host large quantities of data within the cloud environment. The overall ability to manage and maintain Big Data within the cloud provides a heightened level of efficiency, reliability, and support from Microsoft. This results in a superior user experience and an increased level of value for the end user.

The most valuable feature of Microsoft Azure Synapse Analytics is the capabilities, and the integration with other Azure resources, such as Data Factory, Databricks, and Spark for data processing. The overall ability to compose the solution with other Azure resources is valuable.

We use Azure Synapse Analytics in many different areas and industries, so I like that you can administrate and create pipelines for different sources of data and later integrate and deploy it to other internal areas, such as separate dashboards for financials, and so on.

It is our main data warehouse solution, and the one big feature I appreciate is all its various analytics functions. The built-in analytics also makes it an attractive option for our customers, where we act as a service provider for them.

The most valuable features of Microsoft Azure Synapse Analytics are the user experience because it is easy to make analyses, load different databases, and different resources. Our end users can do the analysis by themselves without IT supervising. This is a great aspect of the solution, it's better for our environment.

The interface of the solution is good.

For those working in the retail sector, this product can capture all the transactional data throughout a company's stores, process them, and put them into the Azure Synapses. Once you have the data, you can clean and aggregate it. On top of that, it has a reporting tool so you can connect to those Data Warehouse Synapses and pull up your reports which can then be used to prepare the dashboards and enable more insight.

Synapse Analytics gives you information and reports in real-time.

Synapse Analytics' best features are notebooks, pipelines, and monitoring.

The most valuable features of Microsoft Azure Synapse Analytics are how easy and quick it is to set up the linked services.

I like how Microsoft Azure Synapse Analytics integrates with other Microsoft solutions. 

The stability of the solution is pretty good. It's one of the solution's most valuable aspects.

The useability, the user interface, is very user-friendly.

The solution operates like a typical SQL Server environment so there is no alienation in terms of technical knowledge. A developer will feel at home using the solution. 

I like the solution because it's very interactive and provides flexibility. It's mostly a drag-and-drop procedure. It also provides a lot of design choices.

What I use the most is the tool to identify the upgrades. When you have a data warehouse on-premise you have jobs that run. Similar to an SQL agent, you are not comparing apples to apples, there are differences between the way the jobs are run on Azure versus the on-premises.

We also like governance. It looks at what the requirements are for the company to identify the best way to ensure compliance is met when you move to the cloud.

They can be leary of moving to the cloud, They want to determine when someone has access to the client's data when sharing, and are in the same environment, that the data is secure. Essentially, they are accountable and need to be able to identify how secure their data is for their clients.

The most valuable feature is that you can suspend the computer if it is not being used, which means that you don't incur costs. This is better than Amazon Redshift, where the costs continue to accumulate.

The documentation is good.

The features most valuable are the simplicity, how easy it is to create a dashboard from different information systems. We are trying to get these organizations to work with the architecture. This should allow these organizations if there is a new product or a new piece of software that is introduced to be able to handle operations themselves. For example, being able to attach the new product to a Power Bl, create a connector, or create interactive information exchange between these two or more different information systems. Standardization and simplicity, are key features.

The solution can integrate well if there is a connector. It will integrate perfectly with the Office 365 suite and Workspace 365.

One of the most valuable features of this solution is its ability to integrate well with other services offered by Azure. 

I think the most valuable component is that pipelines are built into it and then the feature that you can mirror a cosmos BB for analytics.

The most valuable feature is the scalability. It scales out, so you can build a large database and not have to think about whether it performs, or about connecting to the servers to become larger.

What I like the most would be MPP (Massively Parallel Processing) architecture. Because we had to migrate a lot of data and it helps us a lot to make things faster.

The integrated workspace in Microsoft Azure Synapse Analytics where everything comes together, such as Power BI and Data Factory, is very good. Additionally, the ability to do dedicated SQL pooling is a benefit.

The solution has been reliable so far.

The product is scalable, or, at least, that is my understanding. 

We've had a good experience with technical support in general. They are helpful. 

The solution has proven to be very user-friendly.

The most important feature for me is the integration with PolyBase.

Other valuable features for me are advanced threat protection and data privacy.

The features we've found most valuable for data warehouses is extracting data, SSIS packages, and the DBs.

The dashboards are good.

We haven't had any issues when it comes to customization.

The security seems to be okay. It hasn't given us any problems and we don't feel insecure.

The pricing seems to be quite fair.

I know their roadmap, and I am looking forward to what they have already published.

We've been happy with the level of reporting and documentation on offer.

The most valuable feature is the level of processing power, and being able to complete tasks in parallel. This is the feature that attracts us the most because we have a lot of data that we need to process in a short time.

This is a user-friendly environment.

The solution is scalable.

It's better than a similar solution offered by Amazon.

Technical support is okay in terms of the help they provide.

Pretty much all of the features are valuable, including storage and compute. All of the features are essential to what you do.

It's very reliable and cost-effective. It meets the needs of our clients.

It's user-friendly and has a good dashboard.

Pretty much all of the features are valuable. The storage, compute, all essentially differentiate what you do.

They are very reliable and cost-effective. It meets the client's requirements.

It's user-friendly, has a good dashboard, and my team is happy with everything.

With this solution, I can better understand buying patterns and user habits. I can tell in real-time a customer's review and purchase based on that. I can tell that from the cloud data of Azure Data Warehouse.

The solution offers a variety of different features.

There are two layers, so data storage and computation are separated.

For the customer, there aren't any storage limitations, so you are able to explore and size of data including megabytes and terabytes. Once you have stored the data you can analyze the data that if you have in order to write some complex queries. After that, the solution makes it possible to visualize that data itself. 

The computation makes it so that you can run scenarios without an impact on your storage location.

If you compare the product to other solutions, you'll notice it takes less time for less cost. All other vendors have different architecture so their pricing is a little bit different and they are charging pricing per second. Microsoft charges per unit, or DTU, Data Transfer Unit. It will charge based on how much data you are consuming and how much data you are doing transactions with. It is monthly not daily.

Microsoft provides both the platform and the data center, so you don't have to look for a cloud vendor. It saves you from having to deal with two vendors for the same task.

The solution is consistently improving a lot of things, including security features. There are eight or nine different security features there. You can even encrypt your data.

The most valuable feature is the incremental load because we do not need to refresh the entire data on a daily basis. We have a nightly load where all of the data is updated, and it is a very good feature.

The transaction log shipping gives us the ability to replicate the database onto different servers for backup and synchronization.

Its seamless integration with Azure services is most valuable. If somebody wants to use all Azure services, it is the best solution.

The ability to integrate with different Azure services from within the Synapse Analytics workspace is also valuable.

The solution has been working well overall.

The solution's scalability is very, very good. It's one of the most important aspects for us. 

We really need our data to stay in Western Europe. As an insurance company, it's important for our business. Microsoft can guarantee that it stays in Western Europe. That way, data is not processed anywhere else.

It's widely acknowledged as an excellent product throughout the industry. There's a lot of knowledge about it in the Netherlands as well. It makes it very easy to find a consultancy and also employees who can help us with its modern architecture.

The initial setup is easy. You don't need extensive training. It's an intuitive process.

The macro functions of Excel are very useful. 

The stability is pretty good.

The solution has the potential to scale.

The most valuable feature is data processing.

The architecture, including compute and storage, is good.

I like its performance. It is well-structured and offers a lot of practical options. Because of the visual design of the product, it is very easy to find icons and other visual elements.

It took me more than two weeks to understand how it works. I had an intensive training session to understand it, which was enough. It was not hard to understand how it works.

The most valuable feature of the solution is the analytics and that it can connect with Power BI. I found it quite interesting and very compelling in terms of detail within a single stack.

The ability to scale out services on-demand and scale them down when they are not required is most valuable. You are in control of your expenditures, and you are also in control of the horsepower that you need. That's a major advantage.

The most valuable feature is performance gains.

The scalable nature of the data warehouse on the cloud, and the flexibility that you get, and important features.

The most valuable feature of this solution is its filling of the gap between big data and classic data warehouses. As a solution, Synapse allows you to do almost everything. 

I like that the overall deployment and integration is pretty fast and then you also have virtualization to Power BI so it's also quite cost-effective.

Some of the most valuable features would include Familiarity for practitioners like us and also familiarity for the businesses. SQL servers have been around for several decades and there are many who are familiar with SQL servers, such as SSIS and SSRS.

They are available on the Cloud, and the platform is very intuitive.

It integrates very well with Power BI, which I would rate as the best self-service BI. All the data warehouses eventually end up in BI or Machine Learning. 

Instant Apps that are more integrated rather than desperate components. You need to get different components engineered together, and with SQL everything comes together.

Instant Apps is a combination of your Spark compute platform, your SQL data platform, and your object storage. It's a platform that is integrated all together. 

It's easy to work with a faster turnaround time on my project deliveries.

Also, the integration with Power BI self-service is much, much easier and familiar.

You can have several SQL servers, they have large .NET artifacts that combine various components together very well.

We're able to generate some dynamic reports. I find that very valuable to be able to see our data in such unique ways.

The pricing is pretty good.

The product is very user friendly.

The best part is the easy and user-friendly administration and handling of the data.

We have found that it is easy to develop and to do the analytics in the modules of data.

The main advantage of using this solution is its ability to scale and handle very large amounts of data, in the petabyte range.

When we are not using this solution we can simply shut it down saving us costs, which is a nice advantage.

Microsoft Azure uses the Massively Parallel Processing concept for data warehousing. The speed is great and the architecture is excellent. 

The most valuable features of this solution are its easy setup and ease of use.

The SQL functions are ok. I've been working with Microsoft SQL Server, MySQL, and PostgreSQL for a long time, and everything is good.

Technical support is very good.

The whole solution is interesting for us.

The most valuable features are the flexibility and that it's easy to use as an end-user compared to AWS.

The most valuable feature of this solution is the ease of administration.