SSIS Reviews

SSIS orchestrates data transformation in the environment, which includes Oracle and SQL Server databases.

The most valuable aspect of this solution is that it is simple to use and it offers a flexible custom script task.

Connectivity to databases other than Microsoft. This is the Achilles' heel.

Integration with other vendors' connectivity should be available as well as being able to read and write data to databases or data storage other than with Microsoft.

There is connectivity with other databases, however, this is the most significant issue that has to be addressed.

I have been using SSIS for five years, but I first used it in 2007.

SSIS is quite stable.

SSIS is moderately scalable.

The company is fairly substantial. They have approximately 400,000 people in the company, but I am not aware of how many are using this solution. It is quite a bit.

There are a lot of developers using it.

I am not aware if they plan to increase their usage, it is not within my decision.

In terms of my immediate surroundings, we intend to use cloud tools, Azure technologies, and Microsoft. First and foremost, Microsoft ADF. Azure Data Factory is the cloud's SSIS replacement.

For this particular product, we have not used technical support.

I started with SSIS but then switched to IBM Datastage.

That was where I worked, this was already in use at another organization. 

I recently moved jobs, and this is the platform of choice for ETL once again. Informatica data center was used in various other organizations. 

I was attending Informatica workshops. I wasn't Informatica actively, but I might in the future, perhaps soon.

The initial setup is straightforward.

It only took five minutes to deploy SSIS. 

For maintenance, we rely on our platform team.

We will probably need one person for maintenance. Let's say it's only one person. But I'm not speaking on behalf of the entire company; I'm speaking on behalf of a single team of perhaps 1,000 people.

We did not use a consultant or third-party vendor, everything was done in-house.

This is difficult since it is included in the SQL server license. 

Depending on the arrangement that a certain company has with Microsoft, it may supply the permanent license that is included in the SQL server license, or it may be a time-bound license if it is a partner license or other enterprise license. 

I am not sure what our relationship with Microsoft is like or what the program is, but I believe it's some sort of enterprise license.

In the past, I worked with permanent licenses.

I would recommend SSIS to others who would be interested in using it.

I would rate SSIS an eight out of ten.

The solution is a business application. It's used for integrations between different databases, migrating from one to one, and importing data from one thing to something else.

Overall, it works well. 

The performance is good.

It's saved time using visualization descriptions. 

The initial setup is straightforward. 

The product is scalable.

It's stable. 

We find the solution to be reasonable. 

We have faced some problems, mostly from a different provider with different language handling.

We'd like the solution to increase the types of integrations on offer. We'd like more integration capabilities. 

I've been using the solution for 20 years. 

It's very stable and reliable. There aren't bugs or glitches. It doesn't crash or freeze. The performance is fine. 

We can scale the solution just fine. 

It is our plan to increase usage in the future. 

We have ten users on the solution right now.

I've never used technical support. I cannot speak to how helpful or responsive they would be if we needed assistance. 

We did not previously use another solution. 

The solution is straightforward to set up. It's not overly complex. It takes about half an hour to set up.

We have five people that can handle deployment or maintenance tasks. 

We can handle the initial setup on our own. We do not need outside assistance from integrators or consultants. 

The solution is fairly priced. I'd rate it four out of five in terms of affordability.

My company is a Microsoft partner, and we use multiple Micorosft products.

We're using the latest version of the solution. 

I'd recommend the solution to other users and companies. 

I'd rate the solution eight out of ten.

SSIS is mainly used for data migration transfer.

SSIS' best feature is SFTP connectivity.

In the next release, SSIS should include automated JSON file management.

SSIS is stable.

SSIS is scalable.

Microsoft's technical support has decreased in quality over the last few years, becoming less responsive and tending to pass problems on instead of solving them.

The initial setup is straightforward.

SSIS' licensing is a little high, but it gives good value for money.

I'd give SSIS a rating of seven out of ten.

SSIS is helpful when you have tasks in a particular workflow that need to be completed on different schedules. You can start a specific task, and SSIS goes through the workflow to check a few things before it decides whether the task needs to proceed. Right now, maybe a quarter of the company is using it, but we plan to expand use in the future. 

The main value of any Microsoft product is the ease of use. You can achieve more with less time. That's what's beneficial for me. With many competitors, you might need to spend more time coming up with a solution because you have to focus on taking care of the product.

It would be nice if you could run SSIS on other environments besides Windows.

We use SSIS ad hoc when a problem arises that requires it. We've used it a few times over the last year.

SSIS is stable.

SSIS is scalable.

Microsoft support isn't helpful most of the time. We get most of our answers from forums. 

Installing SSIS is straightforward and takes an hour or two.

We deployed SSIS in-house. 

We've seen a return on using SSIS. 

An SQL Server license includes licenses for the database engine, reporting services, SSIS, and analysis services. That's the nice thing about this package. When you buy it, you get all of these different add-ons.

I rate SSIS eight out of 10. I would recommend it. 

SSIS integrates well with SQL servers and Microsoft products.

From a cost perspective, it's a cheaper option than other ETL tools.

Also, it has a lot of in-built transformation, and it's easy to learn.

I would like to see more features in terms of the integration with Azure Data Factory.

I've worked with this solution for about four years, on both the on-premises and cloud solutions. We had around 3000 plus users.

It's a stable solution.

Technical support is not efficient, and I've had to search on the web to solve the problems.

I worked on PowerCenter.

The initial setup is straightforward and is not complex. It took about a day to install.

You would need two to three technical staff for the deployment and maintenance of the solution.

We used an integrator for the deployment process.

SSIS is a cheaper option compared to the cost of other ETL tools.

SSIS is a cheaper solution, and I would recommend it.

On a scale from one to ten, I would rate it at seven.

We have data that needs to be migrated. There is also a scan inventory. We create web data, pull it, search it, and then find answers and report stakeholders. So for this process, we use the SSIS.

You can get data from any data source with SSIS and dump it to any outside source. It is helpful. Getting, extracting, converting, and dumping data doesn't require much effort because we can do everything in the user interface. You drag and drop, then give the required input. It's intuitive.

Sometimes we need to connect to AWS to get additional data sources, so we have to install some external LAN and not a regular RDBMS. We need external tools to connect. It would be great if SSIS included these tools. I'd also like some additional features for row indexing and data conversion. 

We've been using SSIS for about four and a half years. 

If you run SSIS from the local system, it will lag, but it will work properly if you host on the cloud somewhere. It's a headache every time you run this locally.

Almost 10 percent of our users work with SSIS. It's more than a hundred. 

We haven't had that many problems. I have interacted with Microsoft support for some things, but it was a few minor issues. And with the updated VPA, it has been clear. I was satisfied with the support. We don't need support for these types of issues. We don't need to contact the support team or stop our business. 

The initial setup is never a complex process because the interface is user-friendly. If you are working with complex situations, then it can get complicated. We have a DBA team to handle the deployment. We must follow a process to deploy, so we need to get approval whenever there is a change. It's not easy for us, but it's still good, and it doesn't take much time. 

SSIS is on the cheaper side. In terms of value for the money, rivals are offering more database formats and cost processing, so SQL is lagging somewhat. 

I rate SSIS eight out of 10. I recommend it. 

We have used SSIS in many ways. Primarily, it has been used for building ETLs for populating data warehouse and staging areas. We have developed a number of data marts that were populated. We build data migration packages, which have been reused a number of times with minimal configurations. Additionally, we build complex data integrations solutions and data hand-offs between different applications. We have even used it for creating and parsing SWIFT messages for data integration purposes. We also used it for email triggers. 

Now SSIS has introduced Big Data and cloud components. Though we haven't used any of these yet but it's really a very good addition to enhance SSIS capabilities.

SSIS is a tool which anybody can learn in no time. When we started the project, the whole team learnt it in one week's time and then were ready to start on project tasks. It gives you control. Recently, we used SSIS for a compliance project where we performed data cleansing and extensive data transformations to prepare data files for use of compliance (Trade Based AML solutions) application.

Script task and Script component for custom tasks: It gives you power to build your own logic if your requirements are not being fulfilled with existing available components. While the big thing is you can build your own components, that is not so straightforward. 

It's visual design interface is good and you can easily understand the flow. 

The debugging capabilities are great, particularly during data flow execution. You can look into the data and see what's going on in the pipeline. It has good logging capabilities as well.

It should have other programming languages supported as well from a scripting perspective. Currently, only C# and VB.NET are supported, which limits it to .NET. It should have Java support as well. 

We couldn't explore big data related components, and this area should be up to the mark, if not already. Certain data quality checks should also be part of it. Currently, this is the biggest area that should be looked into. Data quality is an essential part of the integration process and ETL. Currently, only the data profiling task is there. 

As an update, now SSIS offers big data components as well. 

5+ years.

I've been using it for last 7 years in different projects for different banks. Didn't face any stability issues yet.

Yes. It's very much scalable, but it all depends on how you design your solution. SSIS provides you extensive features and toolkit to handle all sort of data problems.

I also used Oracle Data Integrator as an ETL tool but it all depends on your need and customer preference. SSIS is being easy to use and things can be developed very quickly so I prefer to use SSIS for most of my data related tasks.

Its setup is very easy. You don't need too many components to start building ETL tools. Plus, there are a lot of online learning available for this tool. It can be deployed on any Windows machine with minimal requirements.

If you have SQL Server License then you can use SSIS without any additional cost.

Overall, we remained in a good position and in control while using SSIS. We didn't face any challenges.

We are using SSIS for all of our relational database management systems (RDBMS) data.

The solution could improve by having quicker release updates.

I have been using SSIS for approximately 

The solution is stable.

The solution is scalable. With virtualization enabled we are able to scale horizontally.

We have approximately 2,000 users using this solution in our company.

The technical support is very good.

We have previously used Oracle.

We have approximately 12 administrators and managers that do the implementation and maintenance of the solution.

We have an enterprise license for this solution.

I would recommend this solution to others.

I rate SSIS a nine out of ten.