IBM Netezza Performance Server vs. ParAccel

Netezza Performance Server enhances the data scientist's ability to rapidly design, train, and deploy machine learning models in the database. Netezza Performance Server is essential for implementing cognitive machine learning, providing data scientists with in-database analytics, and enabling them to collaborate on a single platform. Netezza Performance Server supports the use of built-in Spark as well as Python and R for rapid and sophisticated data science and machine learning adoption at scale.

Incentivized

[Actian Matrix is well suited for:] 1. Power user who wants to derive aggregate metrics by joining huge dataset. 2. Batch load where you have to load billion of records very fast (copy command). 3. Scenario where you want to do ELT because your ETL tool cannot handle huge volume of data.

Incentivized

• The speed of operations is really second to none
• The data control aspect is really effective and very useful
• Stability and no latency issues notices during operations

Incentivized

• Data loading is excellent
• ParAccel support is the best I have seen so far.

Incentivized

• The cost is expensive for medium-sized and smaller companies.
• IBM could bring back the technical account managers.
• The procurement process is a hassle.

Incentivized

• Its a new product, there are plenty of bugs to work out with regards to converting special reserve characters that might crop up in data.
• The Matrix 2 Matrix database port tool needs some ironing out.

Incentivized

I wish to give higher rating for the speed and efficiency in handling the queries, but only 6 because of consistent bugs we encounter

Incentivized

• Faster initial response
• Trained professionals
• Very helpful in resolving issues

Incentivized

Leader failover setup is the toughest and lack of proper documentation is making things tough.

Incentivized

With a simple user interface and
access to IBM's online instructions, Netezza Performance Server is easy to
operate. It also has built-in contribution facilities, as well as good customer
support, to make the DBA's job easier.

Incentivized

Actian Matrix is our first big data analytics storage platform, and as I was not involved in the POC process to compare it to other products out on the market, unfortunately I cannot say if it is better than other Big Data storage options. I can say that it out performs products such as Oracle or UDB in regards to the volume of data it can easily index and handle.

Incentivized

• It allows us to work together simultaneously in the database to query our custom results.
• It requires users to know the object name as it does not pop up in their text editor. Thus, users take more time in writing queries.

Incentivized

• ROI is great, less spending on full time DBA and that money could be use to add additional node.
• Negative - Not many developers are well aware of this tool, it takes some time to learn.

Incentivized