Aster Data Map Reduce vs IBM Db2 Warehouse on Cloud comparison

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122 views|98 comparisons
100% willing to recommend
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294 views|268 comparisons
83% willing to recommend
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Executive Summary

We performed a comparison between Aster Data Map Reduce and IBM Db2 Warehouse on Cloud based on real PeerSpot user reviews.

Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Aster Data Map Reduce vs. IBM Db2 Warehouse on Cloud Report (Updated: May 2024).
769,789 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The most valuable feature is the ease of uploading data from multiple sources.""The ease of deployment is useful so clients are up and running quickly in comparison to other products.""It's stable and reliable."

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"The way that it scales will help a lot of customers that are stuck with Netezza boxes that can't grow any larger.​""The performance is okay as long as the volume of queries is not too high.""It will be MPP, so performance should improve."

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Cons
"It is hard for some of our users to set up rules for cleansing and transforming data, so this is something that could be improved.""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.""There are some ways that the handling of unstructured data could be improved."

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"Ultimately, the product itself has challenges and we are not currently satisfied with the support, either.""Right now, we are implementing on ESX VMware 6.0. Support for this platform is poor. Also, one of the backup/recovery options is broken and IBM is not addressing the issue.""Tech support for dashDB is awful. We usually have tickets open for three to four weeks.""Containers get corrupted very easily. Restoring them using GPFS can result in a lot of issues."

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Pricing and Cost Advice
  • "The product cost is high for what the client gets. There may be more cost-effective solutions for small and medium-sized organizations."
  • More Aster Data Map Reduce Pricing and Cost Advice →

  • "If your going to go with warehouse DB/dashDB, use the cloud or Sailfish version."
  • More IBM Db2 Warehouse on Cloud Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:It's moderately priced. It's not cheap. I'd rate it 2.5 out of five in terms of affordability.
    Top Answer: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… more »
    Top Answer:Organizations of all sizes, especially those who are in need of powerful and elastic cloud data warehouse solutions that can help administrators maximize the efficiency of their data-based operations… more »
    Ranking
    19th
    out of 35 in Data Warehouse
    Views
    122
    Comparisons
    98
    Reviews
    1
    Average Words per Review
    525
    Rating
    7.0
    15th
    Views
    294
    Comparisons
    268
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    IBM dashDB
    Learn More
    Overview

    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.

    IBM dashDB family offers private and public cloud database solutions for transactional and analytic workloads, with IBM fully managed or client managed options with a Common SQL engine across all deployment options.

    Sample Customers
    Volvo, eBay, P&G, Verizon, 7Eleven, ABN Amro, Alior Bank, BBVA, Cabela's, Dell, DHL, Gortz, Homebase, IHG
    Copenhagen Business School, BPM Northwest, GameStop
    Top Industries
    No Data Available
    VISITORS READING REVIEWS
    Financial Services Firm15%
    University10%
    Computer Software Company9%
    Manufacturing Company9%
    Company Size
    No Data Available
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise11%
    Large Enterprise75%
    Buyer's Guide
    Aster Data Map Reduce vs. IBM Db2 Warehouse on Cloud
    May 2024
    Find out what your peers are saying about Aster Data Map Reduce vs. IBM Db2 Warehouse on Cloud and other solutions. Updated: May 2024.
    769,789 professionals have used our research since 2012.

    Aster Data Map Reduce is ranked 19th in Data Warehouse with 3 reviews while IBM Db2 Warehouse on Cloud is ranked 15th in Cloud Data Warehouse. Aster Data Map Reduce is rated 7.4, while IBM Db2 Warehouse on Cloud is rated 7.6. The top reviewer of Aster Data Map Reduce writes "Has good base product functionality of data storage and analytics but there should be an option to use it on the cloud ". On the other hand, the top reviewer of IBM Db2 Warehouse on Cloud writes "The "prefetch" feature anticipates needed data and keeps it available. BLU acceleration determines what data is unqualified for analysis and skips it". Aster Data Map Reduce is most compared with , whereas IBM Db2 Warehouse on Cloud is most compared with Amazon Redshift, IBM Db2 Warehouse, IBM Netezza Performance Server, Microsoft Azure Synapse Analytics and Snowflake. See our Aster Data Map Reduce vs. IBM Db2 Warehouse on Cloud report.

    See our list of best Data Warehouse vendors and best Cloud Data Warehouse vendors.

    We monitor all Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.