IBM Netezza Performance Server Reviews

The ability to support a lot of complex queries to analyze rather big data sets at the same time is a valuable feature for us.

Netezza appliances are used on several key areas such as customer analytics, pricing, predictable analytics and forecasting, and reporting etc. The platform is really versatile and cost effective.

Data lineage on column or even object level does not exist, therefore external applications have to be used

We've been using it for three to four years.

There were no issues deploying it.

It is generally a reliable and stable platform.

There were no issues scaling it.

As a developer I am not dealing with IBM customer service related activities.

As a developer I am not dealing with IBM customer service related activities

No other solution was used previously.

I was not part of the initial set up but I know that the main challenge was to set up IBM CDC to transfer data to the Netezza appliance

No other solutions were looked at.

• Ease of use
• Lack of performance problems for analytics and massive data systems
• Integration with Linux-based ETL and data streaming technologies
• Integration with distributed computing platforms

It has been the primary driving technology behind the corporate wide transition to Netezza as a standard data platform. A whole ecosystem is beginning to develop around the product.

It is not designed for transactional systems. Transactional systems that require frequent updates, deletes, etc should use a different solution.

Netezza does not perform well with a significant volume of individual record operations. Netezza is designed specifically for set based operations.

Netezza does not perform well with a significant volume of individual record operations. Netezza is designed specifically for set based operations.

The appliance is installed and maintained by vendor.

With a field-programmable gate array, it has the capabilities to do arithmetic calculations at memory level. Also, the cost-based analysis of query by optimization, it makes query execution faster and provides enough scope to DBA to improve queries.

In my opinion the product is the best for the purpose it has been built.

I've used it for six years.

Not much, IBM guys are quite professional and ready to help with every bit and piece.

Not much, IBM guys are quite professional and ready to help with every bit and piece.

Not much, IBM guys are quite professional and ready to help with every bit and piece.

The level of customer service is good.

The level of technical support is good.

I've never used any other solutions.

Initial setup is pretty straightforward, as IBM provides ramp-up training through in-house training and assigns a technical account manager to make faster resolution of queries.

Both ways, as the box got setup by us and IBM provided a huge set of documents, which made life easier.

Before buying the physical product from IBM, there is an option to use the solution in the cloud to perform a POC and get your stats ready with actual data for better analysis of your investment.

• Scalability
• User friendly
• Always innovative

Billions of data are processed within an optimal amount of time, and it supports almost real-time analytics. This helps the executives to define their strategy for further expansion and identify potential opportunities with informed decisions.

It has already integrated with Big Data Hadoop; however, integration with XML is still not there for nzload utility.If nzlad supports XML files along with flat flies ,it will give them an edge over other MPP Architecture.

I've used it for eight years.

No issues encountered.

No issues encountered.

No issues encountered.

It's the best.

We used other MPP architecture solutions such as Microsoft PDW and Teradata. However, Netezza has an edge as it is convenient to use and it doesn't need a database administrator to perform a successful implementation of a Netezza migration from any RDBMS.

The initial setup is straightforward as it is an appliance. IBM's technical support team takes care of the entire setup process, and you don't need an expert in Netezza to perform the implementation.

We did it in-collaboration with IBM, and in my opinion, this is the best way to embrace new technology. Once you gradually build up your capability in new technology, you should then take control of it with your in-house talented experts.

We had a significant ROI as business increased multi-fold with such a scalable solution.

Compared to other MPP's, Netezza's pricing is quite reasonable considering long term business expansion with low maintenance cost.

Any potential customer who has an inclination towards large scale analytics, should consider Netezza as an option. This not only gives a faster response, but you can also save on resource cost compared to other MPP's. Netezza's maintenance cost is quite low and this will give you an edge for long term revenue growth.

Cross-database writing and more UDFs.

Netezza NPS 7.1 has added a feature of SET CATALOG

This also allows users to run GROOM, GENERATE STATISTICS etc. in the block as a single execution (auto commit).

Simplified development process with less administration

• Performance
• Simplicity
• Few things to worry about

Netezza technology has served us perfectly well. It is the server for our all BI data.

Our overall business intelligence has improved.

No issues encountered.

No issues encountered.

No issues encountered.

8/10.

8/10.

No previous solution was used.

It was straightforward.

It was done by an in-house team with assistance from some IBM consultants who had very good knowledge about Netezza.

Very good. Our BI enviroment with Netezza, Cognos and Data Stage has been a great success

The in-house team and IBM consultants suggested the solution. There is a partnership between IBM and our corporation.

It is a very good product. Like always, good people with good expertise will help a lot

Distribution (no index or partition), built-in analytics is a major advantange.

It has improved our management information systems and reporting capabilities.

It should also consider cloud based solutions.

We have been using the solution for more than ten years from the 8000 series,

We did not encounter any issues with stability.

I can't extend the storage, only up to 6x compress of data. You need to plan this when selecting the right product to buy.

Netezza support is good.

We used Oracle previously. The performance required less maintenance when comparing index and data maintenance issues.

The setup took only a few hours with all built-in apps. It is very quick and easy to use.

One license and one support, also cheaper compared to other products.

We evaluated MS SQL server.

It is easy to use. Make sure you select the right ETL and reporting tool. Also select the right tool for the organization to hold it in the long run.

It has a compression engine and FPGA on but you should still analyze your volume of data and decide on the right model and size.

Personally, I like the Compression and Partitioning features.

It has the capacity to handle terabytes of data with query response times that are very low. This has helped us a lot.

It’s a good product for analytical processing, but they need to conduct more seminars and hands-on training and events. They need to be showcasing the product and features to create awareness among businesses.

I have been working on it for the last two-and-a-half years and now we are in process of a tech refresh. We’re moving from the old Netezza to the newer IBM Pure Data Analytics, using a quarter of the rack for Pure Data.

No issues encountered with deployment.

No issues encountered with stability.

No issues encountered with scalability.

They're very good, helpful, and knowledgeable.

It’s a complex setup.

It was handled by the vendor as it's proprietary.

It's fit for the purpose it's designed for. It's an analytical/hierarchical database, now in great demand, that can store plenty of data and return the results in no time for complex queries.