Microsoft Azure Synapse Analytics Reviews

We use the solution for integration to enable the data to reuse it in the power gap.

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.

There are some limitations. The filing can be improved. Some improvement in the filing is necessary. It needs some kind of growth in the filing development in order to reuse some activities.

I'm pretty new in the company. I started in January. However, they have been using this tool for two years.

The stability is great. There aren’t bugs or glitches and it doesn’t crash or freeze. It’s reliable.

The solution is scalable.

We have about 20 people using the solution in our company.

I haven't had any contact with technical yet, so I cannot evaluate their level of service.

The solution is easy to set up initially.

I’m not sure how much the solution costs.

We buy direct from Microsoft. Our company may be partners with them.

As Microsoft Azure Cloud, it only has one version. I don't know if there is a version number. 

I would advise users to start loading the data beforehand and understand very well how the tool works and how it's useful. That way, you can evaluate the best solution. Sometimes you need to start to load data and review all the alternatives in the solution.

I’d rate the solution a nine out of ten.

The use case depends on different things. For example, for banking, it would be risk management, fraud, and anti-money laundering. For retail, it would be an omnichannel customer experience. For sales, it could be upsell, cross-sell, retention. It's different for every industry.

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.

We'd, of course, always like to pay less for the service if we can.

I've been using the solution for a few years. 

The solution is stable. There are no bugs or glitches and it doesn't crash or freeze. It's reliable. 

I work for Accenture, so there are hundreds and thousands of customers on Microsoft.

The solution scales very well. You can scale up or down as required. It's very easy.

I don't really interact with technical support, so I can't really comment on their level of service.

I don't think it's very complex to implement. We have our own expertise. We have our own IPs to set it up and therefore it's not really complex. It takes a week to ten days to have everything up and running. 

Typically, a pool of six or seven people should be good enough in terms of handling deployment and maintenance. Usually, it's comprised of a mix of managers, admins, engineers, and/or developers.

Maybe it takes over a period of two or three years to see an ROI of maybe 50% to 70%. 

I don't deal with the licensing aspect of the solution. 

I'd recommend this solution to other users. 

I'd rate the solution eight out of ten.

 I'm a senior consultant.

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.

Non-structured data is unavailable with this product. 

The solution is stable. 

Azure Synapse is serverless architecture, so you can scale as and when required. It makes no difference if there are 100 users or 1,000 users. We have around 50,000 end users.

The customer support is generally quite good. They follow up relatively quickly although it can sometimes take more time if it requires an SOP to follow up. 

The initial setup is straightforward. It's a matter of connecting to your visual studio or management studio.

It's important to understand your business needs and choose an appropriate solution based on the industry you work in and what needs to be achieved. There are a lot of tools available on the market, it's important to get the right one. 

I rate this solution eight out of 10.

We are using Microsoft Azure Synapse Analytics to find some evidence or outlier in our analysis about the application of the public health service and public money in the sector in Brazil. We are a public institution that is responsible for auditing other public institutions. We use these kinds of tools to find some evidence and outliers to audit with a little bit more documents or evidence.

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.

Microsoft Azure Synapse Analytics can improve by increasing the size of the files that we can load on the platform. We have some files that are too large to be loaded and it would be a benefit to us if the limit was increased. Additionally, the way we use the tool for generating reports can be made better. They should add some drag-and-drop rules without the need of programming these rules using some programming language. It would be helpful if we did not need someone that was technically advanced to be able to do it with, such as someone with no IT background. Having a reporting tool without code would be great.

I have been using Microsoft Azure Synapse Analytics for approximately six years.

The product is easy to use. 

One potential area for improvement could be the availability of an on-premises data lake implementation, as the product is currently only implemented in a cloud environment. 

Additionally, the possibility of integrating data from multiple sources could be beneficial. 

We have used Microsoft Azure Synapse Analytics for approximately three months.

The platform's scalability is similar to that of SQL databases. It requires developing components, implementing services, and performing other related tasks.

The initial setup process is straightforward. 

My advice would be to remain open to learning new things, particularly because working with Synapse Analytics requires a shift in mindset from traditional tools like SQL Management Studio to newer tools and approaches.

I rate it an eight out of ten. 

We encountered data processing and transformation issues while working with Apache Spark languages for the product. This particular area needs improvement. 

The product's error messaging could be friendlier. Additionally, the monitoring process using Azure ML SDK and Python should depend on the data for the results. Along with the documentation, they should provide essential training for proficiency in CLI. It will help in better monitoring.

We have been using Microsoft Azure Synapse Analytics for two years.

The product is expensive.

I rate Microsoft Azure Synapse Analytics a seven out of ten. It is a fantastic product; we are satisfied with its features and performance. However, there could be more information available about the platform.

It's used for business case analysis and bandwidth utilization, etc. 

We are using its latest version.

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

It's stable, but its stability could be better. However, we understand that it's in production, and new features are getting added and upgraded, so you do get hiccups sometimes.

I've been using this solution for more than four years.

It's quite stable. I'd rate it an eight out of ten in terms of stability. There are very few outages or errors during the configuration.

It's scalable. I'd rate it an eight out of ten in terms of scalability. Our clients are enterprises. 

I haven't contacted them, but it should be fairly good. I haven't had many issues with it.

I'd rate it a nine out of ten in terms of the setup. It has a GUI, which is awesome. Its deployment duration varies based on the case to case. We have quite a few SMEs for deployment. 

It doesn't require many people for maintenance.

It has been good so far. I'd recommend it to others. I'd rate it an eight out of ten.

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.

There may be some challenges in terms of connecting with Virtual Networks (VNETs) to Microsoft Azure Synapse Analytics.

I have been using Microsoft Azure Synapse Analytics for approximately one year.

The stability of Microsoft Azure Synapse Analytics is great. It offers a high level of performance.

The scalability of Microsoft Azure Synapse Analytics is good.

The support from Microsoft Azure Synapse Analytics is excellent.

There is a steep learning curve to do the implementation.

I rate the initial setup of Microsoft Azure Synapse Analytics a seven out of ten.

The entire Microsoft Azure ecosystem is well connected and Microsoft has done well with the features.

My advice to others is to try out the solution, do your homework and research, and set up a POC environment.

I rate Microsoft Azure Synapse Analytics an eight out of ten.