Dremio vs Teradata Vantage comparison

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Dremio Logo
2,610 views|1,995 comparisons
100% willing to recommend
Teradata Logo
566 views|397 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Dremio and Teradata Vantage based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms.
To learn more, read our detailed Data Science Platforms Report (Updated: April 2024).
769,065 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 of Dremio is it can sit on top of any other data storage, such as Amazon S3, Azure Data Factory, SGFS, or Hive. The memory competition is good. If you are running any kind of materialized view, you'd be running in memory.""Dremio allows querying the files I have on my block storage or object storage.""Everyone uses Dremio in my company; some use it only for the analytics function.""We primarily use Dremio to create a data framework and a data queue.""Dremio gives you the ability to create services which do not require additional resources and sterilization.""Dremio enables you to manage changes more effectively than any other data warehouse platform. There are two things that come into play. One is data lineage. If you are looking at data in Dremio, you may want to know the source and what happened to it along the way or how it may have been transformed in the data pipeline to get to the point where you're consuming it."

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"I like writing preformance queries for preprocessing on AWS Cloud.""It is quick, secure, and has less hassles because we don't have to involve our networking team, infrastructure, etc. It is very easy to deploy and make market ready."

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Cons
"I cannot use the recursive common table expression (CTE) in Dremio because the support page says it's currently unsupported.""We've faced a challenge with integrating Dremio and Databricks, specifically regarding authentication. It is not shaking hands very easily.""Dremio takes a long time to execute large queries or the executing of correlated queries or nested queries. Additionally, the solution could improve if we could read data from the streaming pipelines or if it allowed us to create the ETL pipeline directly on top of it, similar to Snowflake.""It shows errors sometimes.""Dremio doesn't support the Delta connector. Dremio writes the IT support for Delta, but the support isn't great. There is definitely room for improvement.""They have an automated tool for building SQL queries, so you don't need to know SQL. That interface works, but it could be more efficient in terms of the SQL generated from those things. It's going through some growing pains. There is so much value in tools like these for people with no SQL experience. Over time, Dermio will make these capabilities more accessible to users who aren't database people."

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"I would like more security and speed.""I would like more security and speed."

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Pricing and Cost Advice
  • "Right now the cluster costs approximately $200,000 per month and is based on the volume of data we have."
  • "Dremio is less costly competitively to Snowflake or any other tool."
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  • "We had a lot of parties involved when purchasing from the AWS Marketplace. They are very flexible and aggressive in trying to close the deal. They are good at what they have to offer and listening to the customer. It's a two-way street."
  • "In this day and age, we want to get things done quickly. So, we go to the AWS Marketplace."
  • More Teradata Vantage Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Dremio allows querying the files I have on my block storage or object storage.
    Top Answer:Every tool has a value based on its visualization, and the pricing is worth its value.
    Top Answer:Dremio's interface is good, but it has a few limitations. I cannot do a lot of things with ANSI SQL or basic SQL. I cannot use the recursive common table expression (CTE) in Dremio because the support… more »
    Top Answer:Both Teradata Vantage and Azure Data Factory are great data tools, but they have different strengths and weaknesses, as mentioned below Teradata Vantage Pros: Very powerful and scalable… more »
    Ranking
    10th
    Views
    2,610
    Comparisons
    1,995
    Reviews
    6
    Average Words per Review
    530
    Rating
    8.7
    Views
    566
    Comparisons
    397
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Learn More
    Dremio
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    Overview

    Dremio is a data lake query engine tool that creates PDSs and VDSs on top of S3 buckets. It is used for managing simple ad-hoc queries and as a greater layer for ad-hoc queries. The most valuable features of Dremio include its ability to sit on top of any data storage, generate refresh reflections and create visuals, manage changes effectively through data lineage and data providence capabilities, use open-source, and address the problem of data transfer when working with large datasets. The use cases are broad, allowing for high-performance queries from a data lake.

    Teradata Vantage is a powerful analytics platform that enables organizations to analyze large volumes of data quickly and efficiently. It helps organizations make data-driven decisions by giving them insights into their data. 

    The most useful functionality of the solution is its ability to integrate multiple data sources and provide a unified view of the data, allowing organizations to gain a comprehensive understanding of their data and make informed decisions. Overall, Teradata Vantage helps organizations improve their decision-making processes, increase operational efficiency, and drive business growth.

    Sample Customers
    UBS, TransUnion, Quantium, Daimler, OVH
    Information Not Available
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm30%
    Computer Software Company11%
    Manufacturing Company8%
    Retailer4%
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Computer Software Company12%
    Healthcare Company10%
    Manufacturing Company9%
    Company Size
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise11%
    Large Enterprise74%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise7%
    Large Enterprise79%
    Buyer's Guide
    Data Science Platforms
    April 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: April 2024.
    769,065 professionals have used our research since 2012.

    Dremio is ranked 10th in Data Science Platforms with 6 reviews while Teradata Vantage is ranked 30th in BI (Business Intelligence) Tools. Dremio is rated 8.6, while Teradata Vantage is rated 8.0. The top reviewer of Dremio writes "It enables you to manage changes more effectively than any other platform". On the other hand, the top reviewer of Teradata Vantage writes "It helps us with connectivity and making sure the data is secure". Dremio is most compared with Databricks, Snowflake, Starburst Enterprise, Amazon Redshift and Microsoft Azure Synapse Analytics, whereas Teradata Vantage is most compared with Teradata Data Lab, SAP BusinessObjects Business Intelligence Platform and Microsoft Power BI.

    We monitor all Data Science Platforms 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.