It is a scalable product. Scalability-wise, I rate the solution a nine out of ten. We have around 20,000 people in our organization using the solution. Also, we plan to increase the number of users using the solution in our organization.

Oracle OBIEE is scalable, with options for regional deployment and accommodating different infrastructure sizes, such as shade one setups. It offers scalability to meet varying business needs.

It is a scalable solution. We have 120 users of the solution in our organization.

Scalability-wise, I rate the solution a seven out of ten.

Around 20 to 50 people in my company used to use the product.

Scaling the product is not difficult and I would rate it 8 out of 10.

Scalability-wise, I rate the solution an eight to nine out of ten.

Oracle OBIEE is highly scalable.

Its scalability is very good. It's definitely one of its features for the last several versions. In the last project, there were about a hundred users. I'm probably estimating high.

I definitely have plans to increase its usage because I'm getting certified and that's my experience. So, I would like more people to use it.

Scalability, especially considering its availability on the cloud, I think, is fine.

Accessing information about the platform can be challenging, and acquiring knowledge often requires purchasing training courses. This can make scalability seem difficult at first. However, it becomes much easier to scale once you grasp the complete structure and understand how Oracle OBIEE works.

I rate the scalability an eight out of ten.

This solution is suited for larger-sized companies.

The solution seems to be more suitable for enterprise-sized companies that are involved in serious businesses. At the same time, Oracle OBIEE is not a solution for users not used to working with such tools.

Our company has not been able to make any enhancements to Oracle OBIEE. However, the process would be relatively easy as we can easily add data sources. The reports are also simple to create. While I am unsure whether we have any servers for balancing at this moment, scaling up seems like a realistic and easy option for Oracle OBIEE.

The scalability is good. In terms of performance and functionality, we can scale it out. We currently have over 3,000 users. We have three or four people dealing with maintenance on a daily basis. 

OBIEE is an ultra-scalable solution as long as you are willing to pay the price. Exadata, Exalytics and in memory allow this to scale to any enterprise,  and we have global 500 companies who are using this solution today.

Throughout the versions we have used of Oracle OBIEE, they have been scalable.

We have more than 20 people using the solution. We have plans to increase usage in the future.

Oracle OBIEE is scalable, we are using it on a global level.

Given the size and scope of how we use it, every change requires significant effort, some of which is internal. It is managed by our IT department. To make large-scale changes and integrate new systems, I believe a small army is required. The heavy lifting is done once they're all set up, and once they're in there and running, the actual maintenance and minor tweaks are fairly simple. This requires a much smaller skeleton crew.

I rate the scalability of Oracle OBIEE an eight out of ten.

Oracle OBIEE is a scalable solution.

I would rate the scalability six out of ten.

It is scalable, but it is very biased towards Oracle infrastructure. The biggest pain point is the alternative cloud support. They're very Oracle cloud-centric. If I need to do anything on our infrastructure that is AWS-centric or Azure-centric, there are loads of issues.

There are thousands of users, but right now, it's suffering from losing its users to Tableau and Power BI because of its various shortcomings.

The solution is made for enterprise companies and is scalable.

The solution is scalable. Currently, we have ten users. We plan to increase the usage by next year. Overall, I rate the scalability an eight out of ten.

The scalability is limited because of WebLogic.

Scalability-wise, it's pretty good. When you use it with an ERP system or with CRM applications, it integrates with SAP, Oracle-based e-business applications, and even the Microsoft stack.

Scalability-wise, you can leverage this product, and not only with an Oracle database. It can work with any database and with any heterogeneous source. It's very scalable and easy to maintain.

You can fund it well, scale it well and size it well; all of these things. It's a good product.

It's not distributed. You can’t do distributed scaling, per se. Whenever you use the algorithm, if that's the case, you can always use a RAC system or something like that. On the application side, you can use however many servers you want. You could redirect your traffic accordingly, based on different servers. You can cater to different customers or to different business end users, depending on their priority. It's pretty scalable, but not distributed in nature. For example, it’s not good for big data analytics and that kind of stuff.

Both the vertical and horizontal scalability of the solution is good. In terms of scalability, I would rate this solution a nine out of ten. More than 300 employees in our organization are using Oracle OBIEE.

Once we work on implementing dashboard reports, the user base will likely increase.

The scalability of the solution is fine. It's arranged per user. However, you need to pay more if you add more. 

There are no plans to increase usage as the solution is limiting in the features on offer and the client is leaning more towards Oracle OAC. 

It is scalable. It is a standard enterprise tool.

Its user base would be easily up to 2,000 users. The users that we have are spread across different functions. We have some people who handle the inventory and financials.  

It is a scalable product. It should meet our future needs.

It is a product where you have to initially set it up and position it for the future requirements so that the analysis part takes place properly. Based on that, you can get proper outputs. You can build it upon your stack, scheme, marks and dimensions.

Scalability is available. It depends on how you want to scale. Right now, we want to define our custom databases and custom warehouse. Therefore, we are creating customer data warehouses, and accordingly, we are designing our dashboards in a custom application. You can also connect it with any third-party software.

We have not had to scale it.

It is scalable. We have lots of users using it and we can easily expand it.

This is a scalable solution. 

Scalability is not that easy. We need to apply a batch. It would definitely take time to execute and to check all the reports or development work once the batch applied.

The scalability is good because it depends on how you upgrade your OBIEE.

The issue comes down to the learning curve of the product, and knowing exactly what to do as suppose to trial and error. Overall, OBIEE can scale with no issues.

Oracle OBIEE needed some improvement in scalability. Up until now, it wasn't very scalable, but this is something that they are working on by moving to Cloud BI.

The solution is scalable. I have extended many areas in the reports and in other areas of the tool. My colleague was doing a project report in which he had to make some divisions and multiplications, similar to analytical functions. However, he was not able to do it in the SQL language. He gave me to try it in this BI tool solution and we achieved accurate results.

It is good. I can use it with any type of data models, such as relational lines and dimensional lines.

Operationally, it's been great. It doesn't need a lot of hand-holding. We run into a space issue every now and then. ETL to get the data into the data warehouse where it's reporting off of works great, but that's just a normal part of growth, I think. I don't know that I'd even call it an issue.

It's fairly scalable. It doesn't have its own engine, so everything depends on how much data your database can process.

This has not been an issue so far for this client, they are still in the early days of building their BI estate.

Oracle OBIEE is difficult to scale.

We have approximately 20 people using this solution in my organization.

We have not had any trouble with scalability.

From a infrastructure perspective, from 11g version onwards OBIEE runs under weblogic where we have the DOMAIN concept, by default, after installation OBIEE runs under one node which represents the server where it is installed, and you have an option to scale up to other nodes, thus increasing the compute power .

Its scalability also meet our current requirements.

It's pretty scalable. You can scale it differently; you can scale it horizontally or vertically. With the new upgrades, it's pretty amazing the things that you can do with it.

It has a Repository Creation Utility that has its own schema. It's on a production database so when you clone them, they're going to come with the same schemas where you won't be able to run those well for the test database. You'll need to export or import so that before the clone you drop and recreate the whole BI suite.

Oracle OBIEE is scalable because you can cluster them and have multiple servers. You can spread the load up to a point. You can have multiple environments running under the same cluster. In our production space, we have two environments. We have a test environment, and we have a production environment. Being clustered, you can cluster those together.

Scalability is limited. The scalability compared to other products that I've seen and tested, is quite far behind.

We are using it to a good amount of extent, but I believe it's scalable. There is some kind of heaviness to the application. If it can be compartmentalized, then they will have it really good. Right now, they are trying to scale it to an extent we could do, but it comes with some kind of administrative work from our side.

I think Oracle OBIEE is scalable.

I think it was scalable enough.

It has scaled well for our needs.

We've had no issues with scalability.

The platform is powerful, scalable and flexible, but requires a huge commitment in term of people expertise in system and on the product.

I rate the scalability of the solution a nine out of ten. In my organization, around a hundred people use the solution.

The scalability of Oracle OBIEE is good.

If you combine all of your customers there are almost 150 users.

I have not encountered any scalability issues. It has worked well.

The system will scale out easily to thousands of concurrent users. We've had no issues with the inability to scale.

We had some issues with not being compatible with some “compatible” servers.

No issues with or scalability.

OBIEE is designed to be scalable. It scales the best compared to all the other BI products.

It is certainly scalable. Obviously, I can't predict how it will respond to millions of users working, but certainly a few thousand. We have added, subtracted, and soon, and it works perfectly.

I have not encountered any scalability issues.

Oracle OBIEE is a very scalable solution.

When the number of projects on the repository increases, updates and new deployments get slower.

No, but no real experience.

We have deployed it enterprise-wide and it works well for us.

It has met my company’s scalability needs but I don’t think it will moving forward. I don’t think it is flexible enough for our future requirements.

I think you can have 16 nodes. It's pretty scalable. I have not seen any scalability issues, so far.

It is going to meet our needs for the future. We are planning to implement EPM as well.

We have a lot of users, I think close to 300 users in our company. QA, engineering, supply chain, and other departments use OBIEE as well.

No issues encountered.

We think it will meet our needs moving forward. 

It scales well. It has a robust way in which it manages the humongous amount of data and reporting while recording. It’s phenomenal.

There have been times where we probably could use an initial processing power, but we're constrained around the licensing that we're in.

Oracle OBIEE is scalable.

We have three people using this solution in my organization.

No

I'd say there are some limitations. One of my projects is looking for graphics. There's some limitation on graph and the charting capabilities; it couldn't do a Gantt chart, for example.

Since we are a very small organization of only about 2,000 employees, scale is not a big issue for us.

Scalability has been good for us, because we have a large enterprise; it's state-wide. We scale it up to our state-wide enterprise system.

There were no scalability initiatives that I was a part of, just upgrades to new machines, which are simple new installations.

OBIEE is very scalable and can handle a large number of users simultaneously. Although, it gets slower on heavy usage on a lot of machines.

We have three Oracle OBIEE users. I rate the scalability an eight out of ten.

It has been scalable.

We can add users without issues. We're able to scale just fine.

We don't have that many functional users using it, so scaling has not been a true issue for us.

Some of the issues were in regards to the LDAP authentication setup, but it was resolved.

Sometimes when lots of users get in and try to run the same report at the same time with different parameters.

The OBIEE  tool can only be used in enterprise-level companies. It is not suitable for small and medium-sized companies because of the cost. Also, the complexity of it means that you need a technical team to install it and develop the reports. 

The architecture of Oracle OBIEE is defined, and within the architecture, it is definitely scalable. You extend the repository and the data model layer. In the server setting, you have the flexibility to include the security aspects that Oracle supports. I feel it is extremely extendable. Our clients are enterprise-level companies.

I think the amount of reporting, the amount of users that we have, I think we are pretty solid and how we scaled it I think the end user is very happy.

No issues encountered.

When a large number of queries are running at the same time, the report fails.

We run a homogenous data set and OBIEE has been scalable.

Scalability is something that could be improved.

Scalability is fine. I don't see any issues. Scalability-wise, most of the time, they depend on the underlying WebLogic server. The WebLogic server scales fine.

We haven’t scaled the product yet. Our size has grown, but we did not have to scale the servers. Since we are managed on the cloud, though, scalability would be pretty straightforward. Oracle manages the product on the back end.

The horizontal scalability {adding new servers to the same system} needs to be simplified in terms of catalogue sharing.

No.

It is not fully scalable and there are performance issues that we see. It's not that bad. I would give it a 3/5 rating.

There was an issue upgrading from 10g to 11g.

I think it's scalable. It just might not seem that it's as easy. We do have other products now that are coming into the market that are a lot easier for us to go ahead and use a mixed set of data.

The solution is definitely scalable. I have seen it grow with my company. Once the tool is implemented, multiple teams want to exploit the tool, derive different business cases out of it and build different dashboards out of it. They give a base system, on which we can do ad-hoc reporting. Dashboard development is also extensive with OBIEE.

We foresee it meeting our needs for the future. Financials and advancement to our team was big. It has been able to handle everything so far.

There were some issues encountered with scalability.

The scalability of the product is good.

In the beginning, it was not so good. Now, with the version 11.7 and 12, we are satisfied and don't have any problems.

Not applicable.

No issues encountered.

It is scalable.

It's been able to scale for our needs.

No issues encountered.

There are slow processing times sometimes, and with it being a cloud solution, the infrastructure is out of our control.

No, I can scale out horizontally and vertically.

It is scalable.

I think it is scalable. Whenever we have a new patch or update, the old functions are also available after applying it.

It's quite a heavy tool, and can be scaled to any level.

There were no big issues.