IBM Netezza Performance Server offers high performance, scalability, and minimal maintenance. It seamlessly integrates SQL for efficient data processing, making it ideal for enterprise data warehousing needs.
| Product | Mindshare (%) |
|---|---|
| IBM Netezza Performance Server | 4.3% |
| Snowflake | 9.3% |
| Teradata | 8.7% |
| Other | 77.7% |
| Type | Title | Date | |
|---|---|---|---|
| Category | Data Warehouse | Jun 22, 2026 | Download |
| Product | Reviews, tips, and advice from real users | Jun 22, 2026 | Download |
| Comparison | IBM Netezza Performance Server vs Snowflake | Jun 22, 2026 | Download |
| Comparison | IBM Netezza Performance Server vs Oracle Exadata | Jun 22, 2026 | Download |
| Comparison | IBM Netezza Performance Server vs Teradata | Jun 22, 2026 | Download |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Teradata | 4.1 | 8.7% | 88% | 83 interviewsAdd to research |
| Snowflake | 4.2 | 9.3% | 97% | 106 interviewsAdd to research |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 3 |
| Large Enterprise | 28 |
| Company Size | Count |
|---|---|
| Small Business | 107 |
| Midsize Enterprise | 83 |
| Large Enterprise | 112 |
IBM Netezza Performance Server is known for its outstanding data processing capabilities. Its integration of FPGA technology, compression techniques, and partitioning optimizes query execution and scalability. Users appreciate its appliance-like architecture for straightforward deployment, distributed querying, and high availability, significantly boosting operations and analytics capabilities. However, there are areas for improvement, particularly in handling high concurrency, real-time integration, and specific big data functionalities. Enhancements in database management tools, XML integration, and cloud options are commonly desired, along with better marketing and community engagement.
What are the key features of IBM Netezza Performance Server?Industries rely on IBM Netezza Performance Server for robust data warehousing solutions, particularly in sectors requiring intensive data analysis such as finance, retail, and telecommunications. Organizations use it to power business intelligence tools like Business Objects and MicroStrategy for customer analytics, establishing data marts and staging tables to efficiently manage and update enterprise data. With the capacity to handle large volumes of compressed and uncompressed data, it finds numerous applications in on-premises setups, powering data mining and reporting with high reliability and efficiency.
IBM Netezza Performance Server was previously known as Netezza Performance Server, Netezza, Netezza Analytics.
| Author info | Rating | Review Summary |
|---|---|---|
| Project Manager at MAF Retail | 3.5 | I use IBM Netezza Performance Server as a data warehouse due to its parallel data processing capabilities, which are crucial for big data. However, it's costly, lacks cloud integration, especially with Azure, and needs more features to compete effectively. |
| Lead Oracle DBA | IBM Neteeza Admin | Consultant at Capgemini | 3.5 | I use IBM Netezza Performance Server for internal reporting as a cost-effective data warehousing tool. However, it lacks Oracle Exadata's advanced security features like TDE encryption. While its performance is subpar, it's a budget-friendly alternative, deployed on AWS. |
| ASE at a retailer with 10,001+ employees | 3.5 | I appreciate IBM Netezza Performance Server's reduced maintenance and strong performance, along with its good stability and scalability. However, I believe the interface, big data support, and APA connectivity could be improved. |
| Business Intelligence Consultant at a tech services company with 51-200 employees | 5.0 | Netezza drastically improved our data processing for terabytes, offering rapid insights far exceeding Oracle. Despite concurrent query and scalability issues, plus poor customer support requiring self-discovery, it was a valuable solution for us. |
| Principal Solution Architect at Tech Mahindra Limited | 3.5 | I found this on-premises data warehouse solution stable, quiet, and low-maintenance. However, I'm concerned about its limited scalability compared to cloud alternatives, its approaching end-of-life, and the lack of a cloud version. |
| Senior Consultant at a tech services company with 51-200 employees | 3.5 | I find this solution offers excellent performance and stability, with good support. However, I experienced concurrency and scalability issues. The analytics feature also needs simplification, and I rate it 7/10. |
| System Administrator at a tech services company with 1,001-5,000 employees | 5.0 | I find this solution simple, clear, and understandable, offering good performance and scalability for managing numerous databases. It integrates easily with legacy systems. My only suggestion is for more reporting and networking tools. |
| Senior Consultant at a tech services company with 51-200 employees | 3.0 | I value this solution for its performance, user-friendliness, and straightforward setup, despite using it primarily for data mark creation. However, I am concerned about hardware failure risk, poor scalability, and missing backup options. I rate it 6/10. |
| Project Manager at MAF Retail | 3.5 | I find this on-premises data warehouse solution very robust with excellent IBM support, despite its high cost and lack of scalability. However, it's being discontinued, which is a major concern. I rate it 7/10. |
| Director at Priority Consulting Services | 4.5 | We use Netezza for data warehousing and analytics, achieving sub-second query performance and happy users. Valued features include row-secure tables. While powerful, its appliance-based nature presents some capability limitations. |
I use this solution as a data warehouse.
Parallel data processing is a significant feature for me. It operates as a high-speed data warehouse, which is essential for handling big data. At its core, it is an integral part of my ecosystem, contributing significantly to operations and analytics. It has added considerable value in terms of return on investment.
The cost of the solution is on the more expensive side, which is a concern for me. Additionally, its promotion and interaction with cloud applications are limited. The cloud version is only available in AWS, and in the Middle East, it is not well-developed in the Azure environment. For the cost to be reduced, it should match competitors. Many features need to be incorporated on the cloud.
I have been using this solution for ten years.
The solution is not scalable for me. It is provided as a pre-configured box, and scaling is not an option. The process is intensive, similar to configuring a new system.
Technical support is very costly for me, accounting for twenty-five to thirty percent of the product cost. Despite the expense, the support is good, and I would rate it as seven out of ten.
The initial setup is good and stable for me.
The solution has generally received positive feedback from me and is recommended for continued use by end users. However, the product cost is high compared to others in the market, and this cost has become unbearable for me. Overall, I rate the product three and a half out of ten.
Oracle Exadata's security features, like TDE encryption, are missing in IBM Netezza Performance Server.
I have been working with IBM Netezza Performance Server for three years.
IBM Netezza Performance Server has good stability.
More than 100 users are using IBM Netezza Performance Server in our organization.
Compared to others like AWS support or Oracle support, sometimes you get quick answers, and sometimes you must wait a bit. The solution's technical support totally depends on your issue and what kind of support team will handle it.
Neutral
IBM Netezza Performance Server is a good tool. The solution's performance is not that great compared to Oracle Exadata. If you don't have much money to spend on Oracle Exadata, you can always go ahead with IBM Netezza Performance Server. It will help you complete your work.
The solution's initial setup is quite easy compared to other solutions.
The solution has a yearly licensing fee, and users have to pay extra for support.
The solution's maintenance is quite easy. One person is enough to maintain the solution.
If you are using PostgreSQL as a database solution, then using IBM Netezza Performance Server is the logical choice since it is based on open-source Postgres. However, if you are using Oracle, data conversion can be tricky. So, in that case, you want to go ahead with Exadata.
Overall, I rate IBM Netezza Performance Server a seven out of ten.
I am using IBM Netezza Performance Server for enterprise data.
The most valuable features of the IBM Netezza Performance Server are the NPS server because of the reduced maintenance and overall good performance.
IBM Netezza Performance Server could improve its interface, support for big data, and APA-based connectivity should be available.
I have been using IBM Netezza Performance Server for approximately seven years.
IBM Netezza Performance Server has a very good uptime rate. We do not have a lot of servers crashing, it is a high-availability solution.
The scalability of the IBM Netezza Performance Server is good.
We have more than 5,000 users using IBM Netezza Performance Server indirectly. We use BI tools, such as Oracle OBIEE vs QlikView which we use to develop reports and these tools connect to IBM Netezza Performance Server.
I have not contacted the support from IBM. However, our team has connected them.
We used a third party to do the implementation of the solution. There were approximately 25 people for the operation and it took approximately eight months.
We have two people who do the maintenance for IBM Netezza Performance Server.
I rate IBM Netezza Performance Server a seven out of ten.
In that occasion, the customer was one of the biggest retail companies of Brazil. The company uses SAP and other technologies to manage their transactional process but they didn't have an efficient way to process data and a better view about their business.
The appliance Netezza gave us the capability of process terabytes of data and gave us new directions and ideas to make the business more profitable. We are now able to analyze products, stores, suppliers and sales as quickly as we need to take a decision to handle any kind of issue or prevent loss of sales.
Concurrent Queries, with this model (1000-3), we had a very big problem using front-end tools connected on it. When using a dashboard tool to use data directly from the database, I had a big problem with queries being queued and stopped running. Looking at the manual I read that Netezza has a limited number or concurrent process.
For 5 years, I was the data architect responsible for the design, the implementation and optimization of all process related to it.
No, I haven´t found any issues.
Yes. If the Demand for clock or disk space grow over the limit, it will be necessary to change the appliance, because it's not possible to upgrade any component of this machine. You have to buy a new one with a bigger capacity.
Customer Service:
6/10 – Some issues about this equipment I had to discover by myself. I think that the vendor did not give me the best support to use the appliance. The machine is excellent, but I had to discover everything by myself as well figure out how to use the equipment in the best way.
Technical Support:
6/10 – I don't know if it is related to the SLA of my customer, but I think that the things are not as fast as they should be when we need help.
I used to have Oracle as my Data Warehouse solution, but despite the fact of it is very good to manage transactional environments, it does not work as fast as Netezza. We have analytical demands so we need an analytical solution. Sometimes we need to retrieve and process our whole table of inventory so it means around 16 billion of rows. Netezza can process all this amount of data and give a result in less than 40 seconds. I have never seen this performance in another database solution before.
The setup was not complex. It was fine. Initially the vendor gave us all the support, including a hands-on course before using the machine.
We implemented by ourselves, my team and I implemented everything.
I do not have this information.
I am not able to give this information.
Yes, I evaluated Teradata and Exadata. Initially I thought that Teradata would be better, so my customer was not able to afford the costs. Now I am sure they made a good choice.
Try to find someone who had already worked with this appliance to have some tips and advices to help you to use it as better as it can. I take too long to discover the best way to make it work well. With my team, I have created a data environment using Netezza as Data warehouse solution, ODI to run the ETL process, shell script. We have now five years of data stored in the Netezza database and we distribute data to all BI Applications easily and quickly. However, it would be better if we had some useful help in the past.
We're currently trying to create a data warehouse on the solution.
The appliance is quite quiet.
The need for administration involvement is quite limited on the solution.
I'm not sure if Netezza offers a cloud version of the solution or not, but if they don't they should. Most companies are focused on moving towards the cloud. If it was on a cloud it would offer certain scalability and performance aspects it can't offer as a physical appliance.
I'm not sure of IBM's roadmap currently, as the solution is coming up on its end of life.
I was using the solution until about six months ago; the solution is coming up on its end of life.
The solution is stable. Design time estimates are still required, but it's quite a stable product. It's not like cloud technologies or if they're on the computer, that the storage can be spread out. It can only be IP coupled on hand, which is not the case for other solutions like Snowflake or other kinds of cloud implementations.
As an on-premises appliance, we have to add boxes, but that's an option if we need to scale. It's not as scalable as a cloud solution; it's limited by certain boundaries. We have about 20-30 people using the solution currently.
I haven't been in touch with technical support over the last year, so I can't really comment on their level of service.
I wasn't involved in the initial setup, I joined it in between. My role was to support the BAU and then to set up a Cloud Data Hybrid Platform. On the data side, I was much more involved.
We were using the on-premises deployment model.
I haven't been following the solution for the last year or year and a half, so I don't have too much to say about it.
I'd rate it seven out of ten.
The primary use case of this solution is for creating reports from the data in our data mart.
The most valuable feature is the performance.
There is less administrative work and you won't need more than one or two administrators.
Upgrading is very good, the IBM support is very good, migration, and the migration commands are also very good and easy.
Concurrency was an issue. If you run small querries it runs well, and the performance is good. However, when you run multiple long querries or multiple joins, it has some concurrency issues, except for some date covers and some configuration requirements.
Scalability can be improved. When I say that I can add new nodes to the system, compared to other systems, you have to come up with a new box, and not everybody likes that.
In the next release, I would like to see the scalability and concurrency issues resolved. Also, the joining rate features against the swap phase issues need to be addressed.
In regards to the swap phase, if you have less cred then your swaps go down, and your system gets restarted every time, which affects the query files. It should not get restarted. Swap memory issues should be improved.
The Analytics feature should be simplified. Everyone is talking about machine learning aspects and people go for the data mart appliance. The portfolio is built for the data storage and the data is accessed frequently. People would like it to be easier.
I have been using Netezza Analytics for more than six years.
This solution is stable. It requires fewer systems and maintenance.
If you are a controlled business user, it is very stable.
This solution is scalable but it needs to be improved.
We have forty users and we don't plan to increase usage at this time.
The technical support is very good and I am satisfied with them.
The deployment took over one month to complete. We ordered several servers and had to wait for delivery.
I don't think that it is currently available on the cloud, except for IBM Bluemix. They will come up with DB2 Analytics. IBM will come up with a new name.
Moving the data from one box to another box or moving it to the cloud or any other storage, the connectors are there but the efficiency in the movement or the data movement features is similar to USB.
Netezza has already changed its name, so they are no longer selling this solution under this brand. They are selling Neteeza Mako and I would recommend it, although I am still looking for an analytics solution.
Netezza has already launched the new DB2 analytics.
You want to think about whether or not you want to purchase it or consider other solutions such as Snowflake, and Redshift.
When we deployed this solution, the FPGA concept was not at all clear until we started using FPGA with SQL performance-tuning that combines the hardware with the software. It's tightly coupled.
I was not aware of the Sqoop connectors to Hadoop that are used to transfer data from databases to Hadoop and vice-versa. We already had Neteeza, so we only had to download Sqoop. There are several SQL analytics. Not everyone is aware that these functions are already built and that there are separate analytics and SQL analytics function libraries available to download for free.
I would rate this solution a seven out of ten.
We're using several databases, about 1000, and we create lots of queries and run them from different places and from different processes. Both for the processing database and analytic database, we're using queries. It's easy to upload and download the data using the cloud or mobile storage architecture on our site. The solution offers very good management.
For me, as an end-user, everything that I do on the solution is simple, clear, and understandable.
The performance level the solution offers is very good.
The Java encoded integrators are good.
I'm not an administrator, so I can't speak to the solution on a deeper level. For me, everything works well.
The solution could implement more reporting tools and networking utilities.
I've been using the solution for six years.
The scalability of the solution seems good. We've been able to move from small to large databases quite easily.
I didn't participate in the installation, but I believe the process is easy. The installation instructions, from what I understand, are easy to follow. Even the integration from another platform, from DB2 and Microsoft SQL, was no problem for us.
For the last two years, we've been using the cloud deployment model. We're an IBM partner.
We're using various types of databases including DB2 and Microsoft SQL.
I'd rate the solution ten out of ten. We had no problem integrating this solution with our legacy platform.
We primarily use the solution for data mark creation.
The performance of the solution is its most valuable feature. The solution is easy to administer as well. It's very user-friendly. On the technical side, the architecture is simple to understand and you don't need too many administrators to handle the solution.
The hardware has a risk of failure. They need to improve this. It also needs a system re-index.
They should improve their Schema and base it on Snowflake Schema features.
The solution should offer backup and restore options on some features.
The solution has a reasonable amount of stability. I'd rate it as medium stability since the hardware has a risk of failure.
The scalability is not good. They claim it's scalable but it's not, especially in comparison with other solutions.
The solution offers excellent technical support.
We previously used Mircosoft services such as Teradata. We were using Teradata for our data warehouse.
The initial setup was straightforward. It's really easy. Deployment for us took about three months. We used about four team members during implementation.
We handled the implementation ourselves.
We use the private cloud deployment model.
I would rate the solution six out of ten.
We use this solution for our data warehouse in an on-premises deployment.
The most valuable features of this solution are robustness and support.
This product is being discontinued from IBM, and I would like to have some kind of upgrade available.
Scalability of this solution is not possible.
I would like to see a better graphical user interface for database management.
This solution is very robust. There are minor issues occasionally, but they roll out patches and upgrades about once every three months.
There is no scalability at all. It is an on-premises solution, and if you want to scale then you have to buy another version.
Indirectly, we have about four hundred users.
Technical support for this solution is very good. It is coming directly from IBM.
Prior to this solution, we were using a Microsoft product. It was not performing well, and not really an adequate solution, which is why we switched.
The initial setup of this solution is very simple.
Three people are suitable for maintenance.
A team from IBM assisted us with the deployment, which took approximately six months. There were five or six people involved. There were two managers and four technicians.
This solution is very expensive. The annual licensing fees are twenty-two percent of the product cost.
The biggest lesson that I have learned from using this solution is that a lot of evaluation should be done before starting. Also, we needed to put a lot of effort into understanding the different functions that the product offers. This allows you to best leverage the capability of the product.
I would rate this solution a seven out of ten.
We have sub-second query performance, and users are happy with the product.
Row-secure tables, IBM Fluid Query, and others.
This is an appliance-based product with limited capability. It has all the horse-power that one can imagine and can handle all workloads.
