Aster Data Map Reduce OverviewUNIXBusinessApplication

Aster Data Map Reduce is the #16 ranked solution in top Data Warehouse tools. PeerSpot users give Aster Data Map Reduce an average rating of 7.0 out of 10. Aster Data Map Reduce is most commonly compared to Apache Hadoop: Aster Data Map Reduce vs Apache Hadoop. Aster Data Map Reduce is popular among the large enterprise segment, accounting for 63% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a computer software company, accounting for 24% of all views.
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What is Aster Data Map Reduce?

SQL-MapReduce is a framework created by Teradata Aster to allow developers to write powerful and highly expressive SQL-MapReduce functions in languages such as Java, C#, Python, C++, and R and push them into the discovery platform for high performance analytics. Analysts can then invoke SQL-MapReduce functions using standard SQL or R through Aster Database, the first discovery platform that allows applications to be fully embedded within the database engine to enable ultra-fast, deep analysis of massive data sets.

Aster Data Map Reduce Customers

Volvo, eBay, P&G, Verizon, 7Eleven, ABN Amro, Alior Bank, BBVA, Cabela's, Dell, DHL, Gortz, Homebase, IHG

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Aster Data Map Reduce Reviews

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AbhikRay - PeerSpot reviewer
Co-Founder at Quantyc
Real User
Top 20
Easy to set up with fast data input but needs more documentation surrounding their on-premises offering
Pros and Cons
  • "It's stable and reliable."
  • "From my perspective, it would be good if they gave better ITIN/R plugins to use the data for AI modeling, or data science modeling. We can do it now; however, it could be more elegant in terms of interfacing."

What is most valuable?

There are two very useful features. 

One is the fast data input for more or less any online data. It performs rather well. Two, it also has a lot of tools for data engineering or data manipulation that are compatible. 

The solution offers an easy setup.

It's stable and reliable.

The solution like scales just fine.

What needs improvement?

Some of our clients are looking for on-premise installations as well. Although we don't have any, some of our prospects are also asking, and we are not sure if that part is easily doable or is as effective. We haven't tried on-premises, so we don't know how good it is. We are not confident about proposing on-premise to them, since we are more familiar with the cloud. Maybe some documentation on how on-prem works or what other things to look for in on-premise deployment would be helpful. We'd love to see more tutorials. 

Our company does data science and AI machine learning algorithms on the data that is deciding on the Teradata, so that's the value we add. From my perspective, it would be good if they gave better ITIN/R plugins to use the data for AI modeling, or data science modeling. We can do it now; however, it could be more elegant in terms of interfacing.

For how long have I used the solution?

I've been using the solution for four or five years. 

What do I think about the stability of the solution?

The solution is very stable, and the performance is good. It's reliable. There are no bugs or glitches. It doesn't crash or freeze. 

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November 2022
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What do I think about the scalability of the solution?

Our clients do not have very large data sets. So far, the environment has scaled fine, however, once the volumes grow, we will have to see whether we are facing any problems or not. Right now, we don't see any problems. We just haven't tried to scale massively.

How are customer service and support?

We haven't needed much technical support. That said, some of my colleagues have been able to contact them and get service as and when required. It's all right. 

How would you rate customer service and support?


How was the initial setup?

On cloud, it is very easy to set up. 

What's my experience with pricing, setup cost, and licensing?

It's moderately priced. It's not cheap. I'd rate it 2.5 out of five in terms of affordability.

Which other solutions did I evaluate?

I am not knowledgeable about the other vendors to make a meaningful comparison. I haven't really taken the time to evaluate other options. 

What other advice do I have?

The solution is most suitable for medium to large-scale businesses. 

I'd rate the solution seven out of ten.

I would recommend the solution to others. 

Which deployment model are you using for this solution?

Public Cloud
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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