Snowflake vs Teradata Cloud Data Warehouse comparison

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Comparison Buyer's Guide
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: November 2022).
657,397 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
"Snowflake has a variety of other ETL provisions that they provide. You can use your own ETL pipeline. Additionally, they provide adapters, and they are always evolving, it is a well-developed solution.""The Time Travel feature is helpful for accessing historical data and the ability to clone external tables is useful.""The most valuable feature has been the Snowflake data sharing and dynamic data masking.""Working with Parquet files is support out of the box and it makes large dataset processing much easier.""The way it is built and designed is valuable. The way the shared model is built and the way it exploits the power of the cloud is very good. Certain features related to administration and management, akin to Oracle Flashback and all that, are very important for modern-day administration and management. It is also good in terms of managing and improving performance, indexing, and partitioning. It is sort of completely automated. Everything is essentially under the hood, and the engine takes care of it all. As a data warehouse on the cloud, Snowflake stands strong on its ground even though each of the cloud providers has its own data warehouse, such as Redshift for AWS or Synapse for Azure.""Great scalability and near zero maintenance.""The ETL and data ingestion capabilities are better in this solution as compared to SQL Server. SQL Server doesn't do much data ingestion, but Snowflake can do it quite conveniently.""Its speed and performance were the most valuable. Easy configuration of Snowflake in any cloud was also a benefit."

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Cons
"I don't know about GCP, if they have connected for GCP. If they don't, they should allow for it.""The aspect of it that was more complicated was stored procedures. It does not support SQL language-based stored procedures. You have to write in JavaScript. If they supported SQL language and stored procedures, it would make migration from on-prem much simpler. In most cases, if an on-prem solution has stored procedures, they're usually written in SQL. They're not written as what most on-prem DBMS would refer to as an external stored procedure, which is what these feel like to most people because they're written in a language outside of SQL.""These aren't as crucial, but there are common errors sometimes where the database is down, or a table is nullified and a new table is added and you are not given access to that. With those errors, you don't have permissions.""The pricing of the solution should be much easier to calculate or find by yourself.""There are always a few operation updates here and there that can be made.""They have a new console, but I couldn't figure out anything in the new console. So, if I shift to the old console, I can figure out where to create the database schema and other things, but I have no idea where to go in the new console. That's one thing they can improve. I don't know why they created a new console to confuse. The old, classic console is much better.""There are a lot of features that they need to come up with. A lot of functions are missing in Snowflake, so we have to find a workaround for those. For example, OUTER APPLY is a basic function in SQL Server, but it is not there in Snowflake. So, you have to write complex code for it.""Their UiPath, the workspace area, needs some work."

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"It could be a bit more user-friendly."

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Pricing and Cost Advice
  • "The price of Snowflake is quite reasonable."
  • "Its price should be improved. It should be cheaper than Microsoft."
  • "It is per credit. It has a use-it-as-you-go model. We bought a chunk of 20,000 credits, and they were lasting us for at least a year. We didn't have the scale of data like a much larger company to consume more credits. For us, it was very inexpensive. Their strategy is just to leverage what you've got and put Snowflake in the middle. It doesn't make it expensive because most of the organizations already have reporting tools. Now, if you were starting from scratch, it might be cheaper to go a different way."
  • "We used Snowflake to see if it is cheaper than using BigQuery. It was just to maintain the cost or the KPI regarding the cost of connectivity by users. Snowflake wasn't cheaper than BigQuery, and its affordability was the main issue."
  • "Currently, we have a trial account, so we don't need a license. After our project starts, we would need a permanent license."
  • "Snowflake goes by credits. For a financial institution where you have 5,000 employees, monthly costs may run up to maybe $5,000 to $6,000. This is actually based on the usage. It is mostly the compute cost. Your computing cost is the variable that is actually based on your usage. It is pay-per-use. In a pay-per-use case, you won't be spending more than $6,000 to $7,000 a month. It is not more than that for a small or medium enterprise, and it may come down to $100K per year. Storage is very standard, which is $23 a terabyte. It is not much for any enterprise. If you have even 20 terabytes, you are not spending more than $400 per month, which may turn out to be $2,000 to $3,000 per annum."
  • "It is on a monthly basis. It is based on your usage. There are no additional costs from the point of the licensing fee. We do give some kind of evaluation to the customers about how much it is going to be. You can decide in Snowflake the virtual machine that you are using for customers. There are several kinds of virtual machines that you can use. It is similar to the clothing sizes: small to extra large. If you need more power in the coming month, you can decide in advance and take a more powerful machine. You can just select it from the platform. You can also decide which machine you want to take for extracting data."
  • "They give a different price for every single company. I don't know if I negotiated that well, but we got the enterprise tier for $3 a credit, and the other two were a dollar-ninety a credit. I suspect we don't have almost zero compute usage, but I know that our annual contract packages are below all of their minimums."
  • More Snowflake Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:A user-friendly and reliable solution.
    Top Answer:It's important to understand the licensing model because if you're paying for the software, you're not necessarily aware of the use. It's important to monitor how you're using the resources otherwise… more »
    Top Answer:I'd like to see the data science functionality improved to a degree that would enable data scientists to work together with the data engineering team. The solution is focused on SQL and some kind of… more »
    Top Answer:In terms of improvements, I can only speak from the dashboard perspective. The most important thing is that I don't know how far the dashboard integration goes. People, for example, were using the… more »
    Top Answer:We primarily use the solution for data warehousing. Primarily what happens is, in Juniper, they have internal business analytics and intelligence, a business intelligence analytics dashboard, and a… more »
    Ranking
    1st
    Views
    39,339
    Comparisons
    27,968
    Reviews
    50
    Average Words per Review
    565
    Rating
    8.4
    11th
    Views
    1,614
    Comparisons
    1,346
    Reviews
    1
    Average Words per Review
    1,352
    Rating
    8.0
    Comparisons
    Also Known As
    Snowflake Computing
    Learn More
    Overview

    Snowflake is a fully managed SaaS (software as a service) that provides a single platform for data warehousing, data lakes, data engineering, data science, data application development, and secure sharing and consumption of real-time / shared data.

    Its platform is made up of three components:

    1. Cloud services: As part of its cloud services, Snowflake uses ANSI SQL, which empowers users to optimize their data and manage their infrastructure, while Snowflake handles the security and encryption of stored data.
    1. Query processing: With Snowflake, workload concurrency is never a problem because its compute layer is made up of virtual cloud data warehouses that let you analyze data through requests. Each of the warehouses do not compete for computing resources nor do they affect the performance of each other.
    1. Database storage: Snowflake manages all parts of the data storage process automatically, including file size, compression, organization, structure, and metadata, as well as statistics.

    Snowflake Features

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

    • Scalability: Snowflake architecture provides nearly unlimited scalability and high speed because it uses a single elastic performance engine. The solution also supports an unlimited amount of concurrent users and workloads, from interactive to batch.
    • Automation: Snowflake makes automation easy and enables enterprises to automate data management, security, governance, availability, and data resiliency.
    • Seamless cross-cloud and cross-region connections: 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.
    • Third-party data integrations: 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.

    Snowflake Benefits

    There are many benefits to implementing Snowflake. Some of the biggest advantages the solution offers include:

    • Helps optimize costs
    • Reduces downtime
    • Improves operational efficiency
    • Built for high reliability and availability
    • Automates data replication for fast recovery

    Reviews from Real Users

    Below are some reviews and helpful feedback written by PeerSpot 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 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."

    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.

    Offer
    Learn more about Snowflake
    Learn more about Teradata Cloud Data Warehouse
    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 Company37%
    Financial Services Firm16%
    Manufacturing Company8%
    Comms Service Provider5%
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm13%
    Comms Service Provider8%
    Insurance Company6%
    VISITORS READING REVIEWS
    Computer Software Company22%
    Financial Services Firm12%
    Comms Service Provider9%
    Insurance Company7%
    Company Size
    REVIEWERS
    Small Business23%
    Midsize Enterprise21%
    Large Enterprise56%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise69%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise8%
    Large Enterprise74%
    Buyer's Guide
    Cloud Data Warehouse
    November 2022
    Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon and others in Cloud Data Warehouse. Updated: November 2022.
    657,397 professionals have used our research since 2012.

    Snowflake is ranked 1st in Cloud Data Warehouse with 49 reviews while Teradata Cloud Data Warehouse is ranked 11th in Cloud Data Warehouse with 1 review. 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 "Scalable, reliable and easy to access data". Snowflake is most compared with Microsoft Azure Synapse Analytics, Teradata, Vertica, Azure Data Factory and SAP Business Warehouse, whereas Teradata Cloud Data Warehouse is most compared with Amazon Redshift, Microsoft Azure Synapse Analytics, Oracle Exadata, Teradata IntelliFlex and Vertica.

    See our list of best Cloud 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.