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Aster Data Map Reduce vs SAND [EOL] comparison

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Aster Data Map Reduce

Read 3 Aster Data Map Reduce reviews
131 views|105 comparisons
100% willing to recommend
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SAND [EOL]

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Buyer's Guide
Data Warehouse
April 2024
Executive Summary

We performed a comparison between Aster Data Map Reduce and SAND [EOL] based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse.
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Featured Review
Srikanth Madduri
Has good base product functionality of data storage and analytics but there should be an option to use it on the cloud
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Quotes From Members
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Here are some excerpts of what they said:
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 →

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    Questions from the Community
    What do you like most about Aster Data Map Reduce?
    Top Answer:It's stable and reliable.
    Read all 3 answers   →
    What is your experience regarding pricing and costs for Aster Data Map Re...
    Top Answer:It's moderately priced. It's not cheap. I'd rate it 2.5 out of five in terms of affordability.
    Read all 2 answers   →
    What needs improvement with Aster Data Map Reduce?
    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 »
    Read all 3 answers   →
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    Earn 20 points

    Ranking
    19th
    out of 34 in Data Warehouse
    Views
    131
    Comparisons
    105
    Reviews
    1
    Average Words per Review
    525
    Rating
    7.0
    Unranked
    In Data Warehouse
    Comparisons
    Learn More
    Teradata
    SAND Technology
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    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.

    SAND delivers a world class performing Enterprise Analytic Database Platform. The SAND Platform is a patented columnar database management system (CDBMS), delivering optimal performance for every user. Generation based concurrency control (GBCC) technology supports thousands of concurrent users with massive and constantly growing data. SAND delivers on the promise of sharing data throughout the Enterprise, providing instant access, driving decision-making, and ensuring the best information is in the hands of the right people at the right time.

    Sample Customers
    Volvo, eBay, P&G, Verizon, 7Eleven, ABN Amro, Alior Bank, BBVA, Cabela's, Dell, DHL, Gortz, Homebase, IHG
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    Buyer's Guide
    Data Warehouse
    April 2024
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    Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse. Updated: April 2024.
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    768,578 professionals have used our research since 2012.

    Aster Data Map Reduce is ranked 19th in Data Warehouse with 3 reviews while SAND [EOL] doesn't meet the minimum requirements to be ranked in Data Warehouse. Aster Data Map Reduce is rated 7.4, while SAND [EOL] is rated 0.0. 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, Aster Data Map Reduce is most compared with , whereas SAND [EOL] is most compared with .

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    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.