Snowflake vs VAST Data comparison

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Snowflake Computing Logo
11,866 views|6,742 comparisons
96% willing to recommend
VAST Data Logo
1,372 views|981 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary
Updated on Jan 25, 2024

We compared Snowflake and VAST Data based on our users reviews in five parameters. After reading the collected data, you can find our conclusion below:

  • Ease of Deployment: Based on the reviews, Snowflake's initial setup can be complex depending on the integration and data type. Nevertheless, users generally find it convenient and fast. VAST Data's setup is described as straightforward and streamlined. It typically takes under a day and requires fewer personnel for hardware and software tasks.
  • Features: Snowflake offers unique features such as Time Travel and fail-safe options, as well as data enrichment capabilities and a user-friendly interface. VAST Data excels in failover capability and resiliency, providing enhanced coding and encryption features, along with regular feature updates.
  • Room for Improvement: When analyzing Snowflake and VAST Data, it is evident that Snowflake has various areas that could benefit from improvement. These include transparency, data processing, compute areas, pricing, data integration tools, modeling capabilities, user experience, ODS space, error handling and reporting analytics. VAST Data primarily needs to focus on addressing flaws related to its read/write ratio.
  • Pricing: The pricing for Snowflake's setup is debated, as some users find it acceptable while others view it as costly. Snowflake provides adaptable licensing choices and pricing models based on data consumption. In contrast, VAST Data is not the most budget-friendly option but is also not excessively pricey.
  • Service and Support: Snowflake's customer service has garnered positive feedback thanks to their perfect and excellent support. Customers find their support team responsive and helpful, although there have been instances where improvements are required. In contrast, VAST Data's customer service is highly praised, with commendations for their prompt and efficient response times. They effectively address queries and offer timely solutions.

Comparison Results: Snowflake is praised for its easy setup, valuable features, and good customer service. However, it needs improvement in areas like pricing transparency, data integration, user interface, and documentation. On the other hand, VAST Data is commended for its simple and efficient setup, strong failover capability, and good customer service. It could benefit from enhancing its read/write ratio. The pricing perception and user ROI differ for both products.

To learn more, read our detailed Data Warehouse Report (Updated: April 2024).
771,212 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 product's most important feature is unloading data to S3.""I like the fact that we don't need a DBA. It automatically scales stuff.""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.""I like Snowflake's data exchange capabilities. It can exchange data with downstream systems and other vendor partners as well.""Data Science capabilities are the most valuable feature.""They separate compute and storage. You can scale storage independently of the computer, or you can scale computing independently of storage. If you need to buy more computer parts you can add new virtual warehouses in Snowflake. Similarly, if you need more storage, you take more storage. It's most scalable in the database essentially; typically you don't have this scalability independence on-premises.""Snowflake is scalable both in terms of the amount of data that you can run through it and the number of users that engage with it.""Time travel is one feature that really helps us out."

More Snowflake Pros →

"The solution is useful for machine learning and scientific applications, including computer simulations.""This has been one of the most reliable storage systems that I have ever used."

More VAST Data Pros →

Cons
"It would be helpful if Snowflake could create good reports instead of using Power BI reports.""The pricing of the solution should be much easier to calculate or find by yourself.""They need to incorporate some basic OLAP capabilities in the backend or at the database level. Currently, it is purely a database. They call it purely a data warehouse for the cloud. Currently, just like any database, we have to calculate all the KPIs in the front-end tools. The same KPIs again need to be calculated in Snowflake. It would be very helpful if they can include some OLAP features. This will bring efficiency because we will be able to create the KPIs within Snowflake itself and then publish them to multiple front-end tools. We won't have to recreate the same in each project. There should be the ability to automate raised queries, which is currently not possible. There should also be something for Exception Aggregation and things like that.""We are yet to figure out how to integrate tools, such as Liquibase, to release changes to our data warehouse model.""The product's performance could be improved.""In future releases, it can also support full unstructured data.""The cost efficiency and monitoring of this solution could be improved. It's easy to spend a lot on Snowflake and it does offer monitoring tools but they're pretty basic.""In a future release we would like to have a link which would allow us to connect to an external database and create certain views in your own database. This is because it is becoming hard for us to compare the data between multiple sources."

More Snowflake Cons →

"The read/write ratio is an area in the solution with some flaws and needs improvement.""The write performance could be improved because it is less than half of the read performance."

More VAST Data Cons →

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 →

  • "We acquired VAST Data as a one-time, capital purchase."
  • "Price-wise, VAST Data is not the cheapest, not the most expensive one."
  • More VAST Data 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 solution is useful for machine learning and scientific applications, including computer simulations.
    Top Answer:Price-wise, VAST Data is not the cheapest, not the most expensive one.
    Top Answer:The read/write ratio is an area in the solution with some flaws and needs improvement.
    Ranking
    1st
    out of 35 in Data Warehouse
    Views
    11,866
    Comparisons
    6,742
    Reviews
    36
    Average Words per Review
    459
    Rating
    8.3
    Views
    1,372
    Comparisons
    981
    Reviews
    1
    Average Words per Review
    509
    Rating
    10.0
    Comparisons
    BigQuery logo
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    Azure Data Factory logo
    Compared 13% of the time.
    Teradata logo
    Compared 8% of the time.
    Vertica logo
    Compared 6% of the time.
    AWS Lake Formation logo
    Compared 6% of the time.
    Also Known As
    Snowflake Computing
    Learn More
    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."

      Innovation to break decades of data storage trade-offs.

      Sample Customers
      Accordant Media, Adobe, Kixeye Inc., Revana, SOASTA, White Ops
      Norwest Venture Partners, General Dynamics Information Technology, Ginkgo Bioworks
      Top Industries
      REVIEWERS
      Computer Software Company30%
      Financial Services Firm20%
      Healthcare Company6%
      Manufacturing Company6%
      VISITORS READING REVIEWS
      Educational Organization27%
      Financial Services Firm13%
      Computer Software Company10%
      Manufacturing Company6%
      VISITORS READING REVIEWS
      Computer Software Company19%
      Manufacturing Company14%
      Financial Services Firm11%
      University6%
      Company Size
      REVIEWERS
      Small Business26%
      Midsize Enterprise21%
      Large Enterprise54%
      VISITORS READING REVIEWS
      Small Business15%
      Midsize Enterprise34%
      Large Enterprise51%
      VISITORS READING REVIEWS
      Small Business22%
      Midsize Enterprise15%
      Large Enterprise63%
      Buyer's Guide
      Data Warehouse
      April 2024
      Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse. Updated: April 2024.
      771,212 professionals have used our research since 2012.

      Snowflake is ranked 1st in Data Warehouse with 94 reviews while VAST Data is ranked 8th in NVMe All-Flash Storage Arrays with 2 reviews. Snowflake is rated 8.4, while VAST Data is rated 10.0. 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 VAST Data writes "Stability-wise, a device that has been up and running for years". Snowflake is most compared with BigQuery, Azure Data Factory, Teradata, Vertica and AWS Lake Formation, whereas VAST Data is most compared with Pure Storage FlashBlade, NetApp AFF, Pure Storage FlashArray, Qumulo and Red Hat Ceph Storage.

      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.