Snowflake Analytics vs Vertica comparison

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493 views|330 comparisons
100% willing to recommend
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3,542 views|2,776 comparisons
90% willing to recommend
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Executive Summary

We performed a comparison between Snowflake Analytics and Vertica based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Snowflake Analytics vs. Vertica Report (Updated: May 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
"It can run complex workloads with varied compute.""The most valuable feature of Snowflake Analytics is the ability to control and manage the cost.""Considering everything I have accessed, the product's dashboard is good since it provides multiple good options, including customization options.""The advanced features like time travel, zero copy cloning and scalability have been most useful. Snowflake requires zero maintenance for Data Warehousing on the cloud system.""It helps with business intelligence by providing analytics that can be reported.""One of the key advancements in Snowflake Analytics is data sharing.""Deployment is straightforward as it's a SaaS product. No maintenance required.""Snowflake Analytics is pretty easy to use with the connectors for integration with the tools and systems in my company."

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"Its analytics has enabled Pythian's clients to get the business insights as quick as they wanted. Its lower maintenance has also improved the ROI.""I appreciate the flexibility offered by Vertica's projections. It allows for modifying the primary projection without altering the tables, which helps to optimize queries without the need to modify the underlying data.""The extensibility and efficiency provided by their C++ SDK.""Initiate on one node, and the RPM propagates automatically to all other nodes. ​""Vertica gives knowledgeable users and DBAs excellent tools for tuning.""Vertica's most outstanding features are the compression rates achieved and the speed of access of high volume data.""The fast columnar store database structure allows our query times to be at least 10x faster than on any other database.""DBAs don’t need to add a partition every month/quarter like with other DBs."

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Cons
"Machine learning in Snowflake isn't as advanced as in other products. I haven't heard of any successful industry-wide use cases of machine learning implemented in Snowflake. It might take a couple of years to reach the same level as Databricks.""The UI could be more user-friendly.""I cannot comment on the product's stability because we are still struggling with its performance.""One area that could benefit from enhancement is the user interface for more visual ESM features.""We haven't seen any areas that are lacking.""The scheduling of jobs requires improvement, particularly in terms of the user interface which currently lacks certain features found in comparable platforms.""The technical support is not very good.""The distribution methodology isn't as strong as Bethesda or SAP HANA. It's not as strong as other competitors."

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"I have found that coding support could be simplified.""Vertica offers a platform-as-a-service version, but their software-as-a-service solution is only available on AWS. They need to get a SaaS version on Azure and GCP as fast as possible.""In my opinion, Vertica's documentation could be improved. Currently, there is not enough documentation available to gain a comprehensive understanding of the platform.""The integration of this solution with ODI could be improved.""It would be great if this were a managed service in AWS.""Suboptimal projection design causes queries to not scale linearly.""Vertica's native cloud support could be improved, and its installation could be made easier.""Promotion/marketing must be improved, even though it is a very useful product at very good price, it is not as "popular" as it should be."

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Pricing and Cost Advice
  • "Snowflake Analytics is a little more costly than Azure."
  • "When using Snowflake, you pay based on your usage. They calculate how much CPU has been used. If you use excess warehouse storage, you are charged one credit per hour. If you are in Asia, you are charged $3 per credit. If you have 10 users running parallel with the same excess, you will be charged $30."
  • "The cost of Snowflake Analytics is low, any small organization can use it."
  • "The solution's price is high and I would rate it an eight out of ten."
  • "On a scale of one to ten, where one is a low price, and ten is a high price, I rate the pricing a seven. The solution's pricing is high."
  • "It is an expensive solution, but the kind of usability and flexibility it proactively provides for the organizations justify the price."
  • "The tool is quite expensive."
  • "Snowflake Analytics is not an expensive solution, and its pricing is average."
  • More Snowflake Analytics Pricing and Cost Advice →

  • "Work with a vendor, if possible, and take advantage of more aggressive discounts at mid-fiscal year (April) and fiscal year-end (October).​"
  • "It's free up to three nodes and 1TB, and then get in contact with their sales guys."
  • "Start with license per 1TB. Starting from hundreds of TB there is unlimited licensing to be considered. Move historical data to HDFS/S3 which are significantly cheaper or even free."
  • "The first TB is free and you can use all the Vertica features. After 1TB you have to pay for licensing. The product is worth it, but be aware of this condition, and plan. The compression ratio is explained in the documentation."
  • "I think it's starting to get a little expensive. Open source products are starting to get more robust, so I think that's something that they need to start looking at in terms of licensing."
  • "Read the fine print carefully."
  • "It is fast to purchase through the AWS Marketplace."
  • "The pricing and licensing depend on the size of your environment and the zone where you want to implement."
  • More Vertica Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The pricing is on the higher side. I would rate it seven out of ten.
    Top Answer:I haven't noticed any limitations with the solution. There could be more analytics. We find that IBM has a lot of pro data analytics that we use. The distribution methodology isn't as strong as… more »
    Top Answer:Vertica is easy to use and provides really high performance, stability, and scalability.
    Top Answer:Vertica has a perpetual license, but they are currently trying to convert all those licenses to subscription-based licenses on a yearly basis.
    Top Answer:Vertica's native cloud support could be improved, and its installation could be made easier. It's possible to deploy the solution on different hyperscalers, but it's not an easy process. Vertica is an… more »
    Ranking
    6th
    Views
    493
    Comparisons
    330
    Reviews
    30
    Average Words per Review
    486
    Rating
    8.4
    7th
    Views
    3,542
    Comparisons
    2,776
    Reviews
    10
    Average Words per Review
    377
    Rating
    8.0
    Comparisons
    Snowflake logo
    Compared 18% of the time.
    SQL Server logo
    Compared 14% of the time.
    Amazon Redshift logo
    Compared 10% of the time.
    Teradata logo
    Compared 9% of the time.
    Oracle Exadata logo
    Compared 7% of the time.
    Also Known As
    Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
    Learn More
    Overview

    Conventional data platforms and big data solutions struggle to deliver on their fundamental purpose: to enable any user to work with any data, without limits on scale, performance or flexibility. Whether you’re a data analyst, data scientist, data engineer, or any other business or technology professional, you’ll get more from your data with Snowflake.

    To achieve this, we built a new data platform from the ground up for the cloud. It’s designed with a patented new architecture to be the centerpiece for data pipelines, data warehousing, data lakes, data application development, and for building data exchanges to easily and securely share governed data. The result, A platform delivered as a service that’s powerful but simple to use.

    Snowflake’s cloud data platform supports a multi-cloud strategy, including a cross-cloud approach to mix and match clouds as you see fit. Snowflake delivers advantages such as global data replication, which means you can move your data to any cloud in any region, without having to re-code your applications or learn new skills.

    Vertica is a deploy-anywhere SQL database created for elasticity, speed, and advanced analytics. Vertica enables today’s busy teams to modernize their data warehouses, democratize data and analytics to enable increased access, and deploy analytics in a hybrid cloud environment. Additionally, Vertica merges how companies power their analytics by providing a scalable, open, and elastic database with numerous intuitive features.

    In today’s marketplace, organizations are experiencing continued robust growth of data volumes, and citizen data scientists’ broader use of analytics is causing many companies to re-visit and re-examine their systems in order to match the demands of an aggressive marketplace. Analytics are continually swiftly evolving. New data from social media, blogs, IoT sources, data streams, gas and electrical grids, and mobile networks is being constantly gathered in extensive data sets. This presents organizations with a new opportunity to become more data driven, and they must be able to manage the new data growth and identify the trends and sequences that can lead to both improved business opportunities and continued repeat business from their clients.

    Vertica Benefits:

    Vertica has many valuable key benefits. Some of its most useful benefits include:

    • Efficiency:  Vertica provides robust compression and intuitive impressions. This results in users requiring significantly less storage and hardware than other comparable data analytics solutions. The progressive Vertica architecture results in queries that are 10-50 times faster than other platforms while providing more storage data per server.
    • Integration: Each new iteration of Vertica is tested and certified with the latest ETL and visualization tools. It actively supports Java Database Connectivity (JDBC), Open Database Connectivity (ODBC), and popular SQL providers. All these solutions and most leading BI and visualization tools interact seamlessly, making Vertica overall a very cost-effective solution and solid business investment.
    • Cloud flexibility: With Vertica, users do not have to get locked into a single cloud vendor. Users are able to take complete advantage of the current infrastructure that is already in place. Vertica seamlessly integrates with popular public clouds, including Google Cloud Platform (GCP), Azure, AWS, Alibaba, VMware clouds, and more. It also provides for easy portability across on-premise and multi-cloud environments and data lakes. Vertica designs a robust flexible platform for running a company’s analytical and computing workloads, which allows applications to run simultaneously on numerous environments in a hybrid cloud infrastructure. Vertica is able to seamlessly use public clouds and private data centers, and it grants the flexibility to switch in an instant.
    • Security: Vertica offers dynamic end-to-end security with support for partner solutions and industry-standard protocols such as Apache Sentry, AWS IAM, Kerberos, LDAP, and more. Vertica utilizes an intuitive layered security model that provides multiple security authentication authorization mechanisms. Vertica will also maintain an audit trail, natively exported to other security domains for analysis and persistence. 

    Reviews from Real Users

    “I am using Vertica for aggregations and dashboards. The most valuable feature of Vertica is the ability to receive large aggregations at a very quick pace. The use case of subclusters is very good.” - Bijal S., Group Chief Technology Officer at Netcore Solutions

    “The hardware usage and speed has been the most valuable feature of this solution. It is very fast and has saved us a lot of money.” - Munkhsaikhan B.,  Project Lead - Digital Transformation Unit at Bodi Electronics LLC

    Sample Customers
    Lionsgate, Adobe, Sony, Capital One, Akamai, Deliveroo, Snagajob, Logitech, University of Notre Dame, Runkeeper
    Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
    Top Industries
    REVIEWERS
    Computer Software Company31%
    Financial Services Firm31%
    Outsourcing Company15%
    Retailer8%
    VISITORS READING REVIEWS
    Computer Software Company17%
    Financial Services Firm9%
    Manufacturing Company9%
    Retailer8%
    REVIEWERS
    Computer Software Company19%
    Media Company17%
    Marketing Services Firm14%
    Comms Service Provider11%
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Computer Software Company16%
    Manufacturing Company8%
    Comms Service Provider6%
    Company Size
    REVIEWERS
    Small Business22%
    Midsize Enterprise25%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise18%
    Large Enterprise62%
    REVIEWERS
    Small Business32%
    Midsize Enterprise26%
    Large Enterprise42%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise14%
    Large Enterprise66%
    Buyer's Guide
    Snowflake Analytics vs. Vertica
    May 2024
    Find out what your peers are saying about Snowflake Analytics vs. Vertica and other solutions. Updated: May 2024.
    771,212 professionals have used our research since 2012.

    Snowflake Analytics is ranked 6th in Cloud Data Warehouse with 30 reviews while Vertica is ranked 7th in Cloud Data Warehouse with 83 reviews. Snowflake Analytics is rated 8.4, while Vertica is rated 8.2. The top reviewer of Snowflake Analytics writes "A scalable tool useful for data lake and data mining processes". On the other hand, the top reviewer of Vertica writes " A user-friendly tool that needs to improve its documentation part". Snowflake Analytics is most compared with Azure Data Factory, Adobe Analytics, Mixpanel, Amplitude and Glassbox, whereas Vertica is most compared with Snowflake, SQL Server, Amazon Redshift, Teradata and Oracle Exadata. See our Snowflake Analytics vs. Vertica report.

    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.