Snowflake vs Teradata Cloud Data Warehouse comparison

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Executive Summary

We performed a comparison between Snowflake and Teradata Cloud Data Warehouse based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon and others in Cloud Data Warehouse.
To learn more, read our detailed Cloud Data Warehouse Report (Updated: March 2024).
765,234 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 clone copy.""A user-friendly and reliable solution.""The features that I have found most valuable are the ease of use, the rapidness, how quickly the solution can be implemented, and of course that it's been very easy to move from the on-premise world to the Cloud world because Snowflake is based on SQL also.""It's ultra-fast at handling queries, which is what we find very convenient.""Very easy to use and easy to query.""Data sharing is a good feature. It is a majorly used feature. The elastic compute is another big feature. Separating compute and storage gives you flexibility. It doesn't require much DBA involvement because it doesn't need any performance tuning. We are not really doing any performance tuning, and the entire burden of performance tuning and SQL tuning is on Snowflake. Its usability is very good. I don't need to ramp up any user, and its onboarding is easier. You just onboard the user, and you are done with it. There are simple SQL and UI, and people are able to use this solution easily. Ease of use is a big thing in Snowflake.""Snowflake has three great features: Snowpiping is proving to be very valuable, Time Travel is excellent, and Snowpipes are another great functionality the solution has made available.""The most valuable features are sharing data, Time Travel, Zero Copy Cloning, performance, and speed."

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"The product is reliable.""The most valuable feature is the ease of running queries.""The cloud is ten times better than physical hardware; it is more cost-effective and the upgrade process is ten times easier."

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Cons
"They should improve the reporting tools.""They don't have any SLAs in place. It would be better if they did.""From the documentation, the black box is not very descriptive. Snowflake does not reveal how exactly the data is processed or sourced.""The documentation could improve. They should provide architecture information.""There is a scope for improvement. They don't currently support integration with some of the Azure and AWS native services. It would be good if they can enhance their product to integrate with these services.""It needs a bit more rigor and governance, which is something you don't get with newer tools. This makes it less enterprise scalable. Its governance and structure can be enhanced, which would really be valuable. I would like to see some kind of prebuilt functionality in terms of having almost like a pre-built data warehouse. A functionality for generating automated kind of pieces would be good.""Their strategy is just to leverage what you've got and put Snowflake in the middle. It does work well with other tools. You have to buy a separate reporting tool and a separate data loading tool, whereas, in some platforms, these tools are baked in. In the long-term, they'll need to add more direct partnerships to the ecosystem so that it's not like adding on tools around Snowflake to make it work. They can also consider including Snowflake native reporting tools versus partnering with other reporting tools. It would kind of change where they sit in the market.""I am still in the learning stage. It has good security, but it can always be more secure."

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"It could be a bit more user-friendly.""The cost of Teradata Cloud Data Warehouse has room for improvement.""Stability-wise, we have had some issues with automation and the ability to handle large datasets."

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Pricing and Cost Advice
  • "Pricing can be confusing for customers."
  • "The whole licensing system is based on credit points. You can also make a license agreement with the company so that you buy credit points and then you use them. What you do not use in one year can be carried over to the next year."
  • "You pay based on the data that you are storing in the data warehouse and there are no maintenance costs."
  • "It is not cheap."
  • "The pricing for Snowflake is competitive."
  • "On average, with the number of queries that we run, we pay approximately $200 USD per month."
  • "Pricing is approximately $US 50 per DB. Terabyte is around $US 50 per month."
  • "The price of Snowflake is very reasonable."
  • More Snowflake Pricing and Cost Advice →

  • "Teradata used to be expensive, but they have been lowering their prices."
  • More Teradata Cloud Data Warehouse Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The best thing about Snowflake is its flexibility in changing warehouse sizes or computational power.
    Top Answer:The real-time streaming feature is limited with Snowflake and could be improved. Currently, Snowflake doesn't support unstructured data. With Snowflake, you need to be very particular about the type… more »
    Top Answer:The cloud is ten times better than physical hardware; it is more cost-effective and the upgrade process is ten times easier.
    Top Answer:South Africa must significantly improve its internet infrastructure to reduce its high costs. I believe South Africa is one of the most expensive countries in the world when it comes to obtaining… more »
    Top Answer:Teradata Cloud Data Warehouse offers a more cost-effective cloud solution. However, the main challenge we encounter, especially in South Africa, is the limited bandwidth available for connecting to… more »
    Ranking
    1st
    Views
    23,526
    Comparisons
    13,527
    Reviews
    40
    Average Words per Review
    455
    Rating
    8.4
    13th
    Views
    899
    Comparisons
    914
    Reviews
    1
    Average Words per Review
    1,113
    Rating
    10.0
    Comparisons
    Also Known As
    Snowflake Computing
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    Overview

    Snowflake is a cloud-based data warehousing solution for storing and processing data, generating reports and dashboards, and as a BI reporting source. It is used for optimizing costs and using financial data, as well as for migrating data from on-premises to the cloud. The solution is often used as a centralized data warehouse, combining data from multiple sources.

    Snowflake has helped organizations improve query performance, store and process JSON and XML, consolidate multiple databases into one unified table, power company-wide dashboards, increase productivity, reduce processing time, and have easy maintenance with good technical support.

    Its platform is made up of three components:

    1. Cloud services - Snowflake uses ANSI SQL to empower users to optimize their data and manage their infrastructure, while Snowflake handles the security and encryption of stored data.
    2. Query processing - Snowflake's compute layer is made up of virtual cloud data warehouses that let you analyze data through requests. Each of the warehouses does not compete for computing resources, nor do they affect the performance of each other.
    3. Database storage - Snowflake automatically manages all parts of the data storage process, including file size, compression, organization, structure, metadata, and statistics.

    Snowflake has many valuable vital features. Some of the most useful ones include:

    • Snowflake architecture provides nearly unlimited scalability and high speed because it uses a single elastic performance engine. The solution also supports unlimited concurrent users and workloads, from interactive to batch.
    • Snowflake makes automation easy and enables enterprises to automate data management, security, governance, availability, and data resiliency.
    • With seamless cross-cloud and cross-region connections, Snowflake eliminates ETL and data silos. Anyone who needs access to shared secure data can get a single copy via the data cloud. In addition, Snowflake makes remote collaboration and decision-making fast and easy via a single shared data source.
    • Snowflake’s Data Marketplace offers third-party data, which allows you to connect with Snowflake customers to extend workflows with data services and third-party applications.

    There are many benefits to implementing Snowflake. It helps optimize costs, reduce downtime, improve operational efficiency, and automate data replication for fast recovery, and it is built for high reliability and availability.

      Below are quotes from interviews we conducted with users currently using the Snowflake solution:

      Sreenivasan R., Director of Data Architecture and Engineering at Decision Minds, says, "Data sharing is a good feature. It is a majorly used feature. The elastic computing is another big feature. Separating computing and storage gives you flexibility. It doesn't require much DBA involvement because it doesn't need any performance tuning. We are not doing any performance tuning, and the entire burden of performance and SQL tuning is on Snowflake. Its usability is very good. I don't need to ramp up any user, and its onboarding is easier. You just onboard the user, and you are done with it. There are simple SQL and UI, and people are able to use this solution easily. Ease of use is a big thing in Snowflake."

      A director of business operations at a logistics company mentions, "It requires no maintenance on our part. They handle all that. The speed is phenomenal. The pricing isn't really anything more than what you would be paying for a SQL server license or another tool to execute the same thing. We have zero maintenance on our side to do anything and the speed at which it performs queries and loads the data is amazing. It handles unstructured data extremely well, too. So, if the data is in a JSON array or an XML, it handles that super well."

      A Solution Architect at a wholesaler/distributor comments, "The ability to share the data and the ability to scale up and down easily are the most valuable features. The concept of data sharing and data plumbing made it very easy to provide and share data. The ability to refresh your Dev or QA just by doing a clone is also valuable. It has the dynamic scale up and scale down feature. Development and deployment are much easier as compared to other platforms where you have to go through a lot of stuff. With a tool like DBT, you can do modeling and transformation within a single tool and deploy to Snowflake. It provides continuous deployment and continuous integration abilities. There is a separation of storage and compute, so you only get charged for your usage. You only pay for what you use. When we share the data downstream with business partners, we can specifically create compute for them, and we can charge back the business."

      Teradata IntelliCloud provides data and analytic software as a service (SaaS). You can subscribe to Teradata Database, Aster Analytics, and/or Hadoop and receive complete setup and management of software and infrastructure – so that you can focus on business outcomes.

      IntelliCloud services are available with new deployment choices: Teradata IntelliFlex – our flagship enterprise data warehouse platform that we deploy and manage in our data centers – and public cloud infrastructure from Amazon Web Services (AWS) that we provision and manage.

      Sample Customers
      Accordant Media, Adobe, Kixeye Inc., Revana, SOASTA, White Ops
      Volvo, eBay, P&G, Verizon, 7Eleven, ABN Amro, Alior Bank, BBVA, Cabela's, Dell, DHL, Gortz, Homebase, IHG
      Top Industries
      REVIEWERS
      Computer Software Company29%
      Financial Services Firm20%
      Healthcare Company6%
      Manufacturing Company6%
      VISITORS READING REVIEWS
      Educational Organization26%
      Financial Services Firm13%
      Computer Software Company10%
      Manufacturing Company6%
      VISITORS READING REVIEWS
      Financial Services Firm21%
      Computer Software Company14%
      Comms Service Provider8%
      Government7%
      Company Size
      REVIEWERS
      Small Business24%
      Midsize Enterprise20%
      Large Enterprise55%
      VISITORS READING REVIEWS
      Small Business15%
      Midsize Enterprise33%
      Large Enterprise52%
      VISITORS READING REVIEWS
      Small Business15%
      Midsize Enterprise12%
      Large Enterprise73%
      Buyer's Guide
      Cloud Data Warehouse
      March 2024
      Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon and others in Cloud Data Warehouse. Updated: March 2024.
      765,234 professionals have used our research since 2012.

      Snowflake is ranked 1st in Cloud Data Warehouse with 92 reviews while Teradata Cloud Data Warehouse is ranked 13th in Cloud Data Warehouse with 3 reviews. Snowflake is rated 8.4, while Teradata Cloud Data Warehouse is rated 8.0. The top reviewer of Snowflake writes "Good usability, good data sharing and elastic compute features, and requires less DBA involvement". On the other hand, the top reviewer of Teradata Cloud Data Warehouse writes "Is quick, easy to upgrade, and cost-effective". Snowflake is most compared with BigQuery, Azure Data Factory, Teradata and Vertica, whereas Teradata Cloud Data Warehouse is most compared with Amazon Redshift, Teradata, Oracle Exadata, Microsoft Azure Synapse Analytics and Vertica.

      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.