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Apache Hadoop vs Teradata comparison

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7,075 views|5,891 comparisons
Teradata Logo
14,030 views|10,796 comparisons
Featured Review
Find out what your peers are saying about Apache Hadoop vs. Teradata and other solutions. Updated: January 2022.
564,643 professionals have used our research since 2012.
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The solution is easy to expand. We haven't seen any issues with it in that sense. We've added 10 servers, and we've added two nodes. We've been expanding since we started using it since we started out so small. Companies that need to scale shouldn't have a problem doing so.""Hadoop is designed to be scalable, so I don't think that it has limitations in regards to scalability.""The most valuable features are powerful tools for ingestion, as data is in multiple systems.""The performance is pretty good.""Hadoop is extensible — it's elastic."

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"The flexibility in design is very good.""I like this solution's ease of design and the fact that its performance is quite good. It is stable as well.""It's a pre-configured appliance that requires very little in terms of setting-up.""Teradata has good performance, the response times are very fast. Overall the solution is easy to use. When we do the transformation, we have all of our staging and aggregation data available.""The functionality of the solution is excellent.""Teradata features high productivity and reliability because it has several redundancy options, so the system is always up and running.""The performance is great, we are able to query our data in one operation."

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Cons
"It would be helpful to have more information on how to best apply this solution to smaller organizations, with less data, and grow the data lake.""The solution needs a better tutorial. There are only documents available currently. There's a lot of YouTube videos available. However, in terms of learning, we didn't have great success trying to learn that way. There needs to be better self-paced learning.""Hadoop's security could be better.""From the Apache perspective or the open-source community, they need to add more capabilities to make life easier from a configuration and deployment perspective.""The solution is very expensive."

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"I'm not sure about the unstructured data management capabilities. It could be improved.""Teradata should focus on functionality for building predictive models because, in that regard, it can definitely improve.""Teradata needs to expand the kind of training that's available to customers. Teradata only offers training directly and doesn't delegate to any third-party companies. As a result, it's harder to find people trained on Teradata in our market relative to Oracle.""I would like to see more integration with many different types of data.""It could use some more advanced analytics relating to structured and semi-structured data.""The scalability could be better. The on-premises solution is always more complicated to scale.""The solution is stable. However, there are times when we are using large amounts of data and we can see some latency issues."

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Pricing and Cost Advice
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  • "The solution requires a license."
  • "The price of Teradata is on the higher side, and I think that it where they lose out on some of their business."
  • "The price of the solution could be reduced, it is expensive."
  • "Teradata is expensive, so it's typically marketed to big customers. However, there have been some changes, and Teradata is now offering more flexible pricing models and equipment leasing. They've added pay-as-you-go and cloud models, so it's changing, but Teradata is generally known as an expensive high-end product."
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    Questions from the Community
    Top Answer: 
    I don't think using Apache Spark without Hadoop has any major drawbacks or issues. I have used Apache Spark quite successfully with AWS S3 on many projects which are batch based. Yes for very high… more »
    Top Answer: 
    Hadoop is extensible — it's elastic.
    Top Answer: 
    Hadoop's security could be better.
    Top Answer: 
    Teradata has good performance, the response times are very fast. Overall the solution is easy to use. When we do the transformation, we have all of our staging and aggregation data available.
    Top Answer: 
    Teradata could improve by providing better training. For example, Oracle provides good overall training. It is not easy to find information on the internet.
    Top Answer: 
    We use Teradata in our data warehouse and we extract data. We have a data department that uses many tools for data extractions.
    Ranking
    7th
    out of 30 in Data Warehouse
    Views
    7,075
    Comparisons
    5,891
    Reviews
    5
    Average Words per Review
    436
    Rating
    7.6
    4th
    out of 30 in Data Warehouse
    Views
    14,030
    Comparisons
    10,796
    Reviews
    5
    Average Words per Review
    421
    Rating
    8.4
    Comparisons
    Learn More
    Overview
    The Apache Hadoop project develops open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.

    Teradata's portfolio of big data analytic solutions, integrated marketing applications, and services help organizations gain a sustainable competitive advantage with data.

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    Sample Customers
    Amazon, Adobe, eBay, Facebook, Google, Hulu, IBM, LinkedIn, Microsoft, Spotify, AOL, Twitter, University of Maryland, Yahoo!, Cornell University Web Lab
    Netflix
    Top Industries
    REVIEWERS
    Financial Services Firm43%
    Comms Service Provider29%
    Consumer Goods Company14%
    Government14%
    VISITORS READING REVIEWS
    Computer Software Company28%
    Comms Service Provider18%
    Financial Services Firm13%
    Energy/Utilities Company5%
    REVIEWERS
    Comms Service Provider31%
    Energy/Utilities Company15%
    Computer Software Company15%
    Manufacturing Company8%
    VISITORS READING REVIEWS
    Computer Software Company30%
    Comms Service Provider15%
    Financial Services Firm12%
    Manufacturing Company5%
    Company Size
    REVIEWERS
    Small Business38%
    Midsize Enterprise24%
    Large Enterprise38%
    REVIEWERS
    Small Business31%
    Midsize Enterprise10%
    Large Enterprise59%
    Find out what your peers are saying about Apache Hadoop vs. Teradata and other solutions. Updated: January 2022.
    564,643 professionals have used our research since 2012.

    Apache Hadoop is ranked 7th in Data Warehouse with 5 reviews while Teradata is ranked 4th in Data Warehouse with 7 reviews. Apache Hadoop is rated 7.6, while Teradata is rated 8.4. The top reviewer of Apache Hadoop writes "Great micro-partitions, helpful technical support and quite stable". On the other hand, the top reviewer of Teradata writes "Good performance, flexible, easy to tune queries, and scales well". Apache Hadoop is most compared with Microsoft Azure Synapse Analytics, Snowflake, VMware Tanzu Greenplum, Oracle Exadata and Vertica, whereas Teradata is most compared with Oracle Exadata, Snowflake, SQL Server, Amazon Redshift and IBM Db2 Database. See our Apache Hadoop vs. Teradata report.

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

    We monitor all Cloud 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.