Aster Data Map Reduce vs Microsoft Parallel Data Warehouse comparison

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Executive Summary

We performed a comparison between Aster Data Map Reduce and Microsoft Parallel Data Warehouse based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse.
To learn more, read our detailed Data Warehouse Report (Updated: April 2024).
767,995 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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"Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products.""The data transmissions between the data models is the most valuable feature.""We can store the data in a data lake for a very low cost.""We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it.""We have complete control over our data.""I am very satisfied with the customer service/technical support.""The most valuable feature for me is querying.""The most valuable features are the performance and usability."

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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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"We'd like to see it be a bit more compatible with other solutions.""The feature updates on the on-premise solution come very slowly, and it would be great if they came faster.""I would like to see better visualization features.""It could offer more development across the solution.""In the future I would love to see a slightly better automation engine, just for the data integration layer, to make it slightly easier for end-users or junior developers to get involved in incremental updating.""They need to incorporate a machine learning engine.""If the database is large with a lot of columns then it is difficult to clean the data.""It needs more compatibility with common BI tools."

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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."
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  • "I think the program is well-priced compared to the other offerings that are out in the market."
  • "Microsoft has an agreement with the government in our country, so our customers get their licensing costs from the Ministry. Whenever we work with any government, company, or government institute, which is mainly what we are doing, that license comes directly from the Ministry of Technology and Information."
  • "All the features that we use do not require any additional subscription or yearly fees."
  • "Technical support is an additional fee and is expensive."
  • "The solution's pricing is fairly decent for organizations with huge data sizes."
  • "The tool could be expensive if we need to manage a lot of data."
  • "They offer an annual subscription. The pricing depends on the size of the environments."
  • More Microsoft Parallel Data Warehouse 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:Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time.
    Top Answer:They offer an annual subscription. The pricing depends on the size of the environments.
    Top Answer:Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced.
    Ranking
    19th
    out of 34 in Data Warehouse
    Views
    131
    Comparisons
    105
    Reviews
    1
    Average Words per Review
    525
    Rating
    7.0
    8th
    out of 34 in Data Warehouse
    Views
    598
    Comparisons
    475
    Reviews
    12
    Average Words per Review
    379
    Rating
    8.0
    Comparisons
    Also Known As
    Microsoft PDW, SQL Server Data Warehouse, Microsoft SQL Server Parallel Data Warehouse, MS Parallel Data Warehouse
    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.

    The traditional structured relational data warehouse was never designed to handle the volume of exponential data growth, the variety of semi-structured and unstructured data types, or the velocity of real time data processing. Microsoft's SQL Server data warehouse solution integrates your traditional data warehouse with non-relational data and it can handle data of all sizes and types, with real-time performance.

    Sample Customers
    Volvo, eBay, P&G, Verizon, 7Eleven, ABN Amro, Alior Bank, BBVA, Cabela's, Dell, DHL, Gortz, Homebase, IHG
    Auckland Transport, Erste Bank Group, Urban Software Institute, NJVC, Sheraton Hotels and Resorts, Tata Steel Europe
    Top Industries
    No Data Available
    REVIEWERS
    Computer Software Company18%
    Healthcare Company18%
    Pharma/Biotech Company12%
    Hospitality Company12%
    VISITORS READING REVIEWS
    Computer Software Company20%
    Financial Services Firm17%
    Insurance Company7%
    University6%
    Company Size
    No Data Available
    REVIEWERS
    Small Business36%
    Midsize Enterprise14%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise18%
    Large Enterprise65%
    Buyer's Guide
    Data Warehouse
    April 2024
    Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse. Updated: April 2024.
    767,995 professionals have used our research since 2012.

    Aster Data Map Reduce is ranked 19th in Data Warehouse with 3 reviews while Microsoft Parallel Data Warehouse is ranked 8th in Data Warehouse with 32 reviews. Aster Data Map Reduce is rated 7.4, while Microsoft Parallel Data Warehouse 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 Microsoft Parallel Data Warehouse writes "An easy to setup tool that allows its users to write stored procedure, making it a scalable product". Aster Data Map Reduce is most compared with , whereas Microsoft Parallel Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, SAP BW4HANA, VMware Tanzu Greenplum and Snowflake.

    See our list of best 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.