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Amazon Redshift vs Snowflake comparison

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38,560 views|28,984 comparisons
Featured Review
Buyer's Guide
Amazon Redshift vs. Snowflake
May 2022
Find out what your peers are saying about Amazon Redshift vs. Snowflake and other solutions. Updated: May 2022.
607,127 professionals have used our research since 2012.
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Setup is easy. It's a fast solution with machine learning features, good integration, and a good API.""Changing from local servers to the cloud is very easy. It's so nice not to have to worry about physical servers.""Amazon Redshift is very fast. It has really good response times. It's very user-friendly.""Redshift's Excel features are handy. Redshift spectrum allows you to directly query the data on an Excel sheet. Now, SQL Server also allows this, but Redshift has many more features.""This service can merge and integrate well with all databases.""The feature that we find most useful is the ability to do analytics on the fly.""The initial setup is easy.""The most valuable features of Amazon Redshift are that its fast and efficient. We have lots of TBs of data and it's very fast."

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"The pricing is reasonable and matches the rest of the market.""Its performance is most valuable. As compared to SQL Server, we are able to see a significant improvement in performance with Snowflake.""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.""It is a very well-distributed system. It has different data engines for different applications. Many applications can use different computational engines at the same time. In terms of data processing, the feeling was similar to working with a relational database but in a scalable way.""The technical support on offer is excellent.""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 querying speed is fast.""I like the fact that we don't need a DBA. It automatically scales stuff."

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Cons
"The solution has four maintenance windows so, when it comes to stability, I think it would be better to decrease their number.""Improvement could be made in the area of streaming data.""Redshift's GUI could be more user-friendly. It's easier to perform queries and all that stuff in Azure Synapse Analytics.""Amazon should provide more cloud-native tools that can integrate with Redshift like Microsoft's development tools for Azure.""The technical support should be better in terms of their knowledge, and they should be more customer-friendly.""In our experiments, the handling of unstructured data was not very smooth.""We are using third-party tools to integrate Amazon Redshift, they should create their own interface on their own for it to be easily connected on the AWS itself.""Planting is the primary key enforcement that should be improved."

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"The documentation could improve. They should provide architecture information.""The complexity of the initial setup of Snowflake depends on the use case. However, Snowflake itself, we don't set it up. The difficulty comes from the ingestion patterns, depending on what data I'm putting in, what kind of enrichment, and what additional value we have to add. However, it does tend to get complex because we have a lot of semi-structured data which we need to handle in Snowflake. There have been some challenges.""Snowflake has to build more capabilities because they have only built very few adapters, but they're growing and they're building. They should provide provisions to collect ETL pipeline capabilities, reduce developer work, and make more rapid application development, rather than some customizations. There are very few options, but they are building. I hope they will build ETL rapid application development provisions with more variety.""There are always a few operation updates here and there that can be made.""Snowflake has support for stored procedures, but it is not that powerful.""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.""The solution needs more connectors.""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."

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Pricing and Cost Advice
  • "My customers have implementations that cost about $500 a month for a very small one. I also have a customer with a monthly invoice of about $25,000 USD."
  • "At the moment, pricing is a little bit on the higher side, although it depends on the size of the company."
  • "The price of the solution is reasonable. According to the RA3 cluster particularly, it provides 128 GB of storage with only four nodes. If you can manage your computations processes with the help of materialized views and proper queries. I think the IP clusters are very useful and overall fair for the price."
  • "This solution implements the pay-as-you-use model, so no license. Pricing could be cheaper."
  • "The price of Amazon Redshift is reasonable because it depends on the usage that you use and for DWH for the long term."
  • "Amazon Redshift is an expensive solution. Larger organizations can afford this solution, but smaller businesses would struggle to afford it."
  • "It's pay per use. You can have multiple models."
  • More Amazon Redshift Pricing and Cost Advice →

  • "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."
  • "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."
  • More Snowflake Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Amazon Redshift is very fast, has a very good response time, and is very user-friendly. The initial setup is very straightforward. This solution can merge and integrate well with many different… more »
    Top Answer:Redshift's versioning and data security are the two most critical features. When migrating into the cloud, it's vital to secure the data. The encryption and security are there.
    Top Answer:The price of Amazon Redshift is reasonable because it depends on the usage that you use and for DWH for the long term.
    Top Answer:Time travel is one feature that really helps us out.
    Top Answer:The pricing is fair for all the features that Snowflake is providing. The way Snowflake has emerged in the past few years is impressive. It was just a beginner in the space, and it has become a leader… more »
    Top Answer:The solution could use a little bit more UI. Something was in process, however, it's not yet deployed or in the version that I'm using it is not deployed. If we have to use any table or any schema in… more »
    Ranking
    4th
    Views
    12,653
    Comparisons
    10,184
    Reviews
    15
    Average Words per Review
    464
    Rating
    7.6
    1st
    Views
    38,560
    Comparisons
    28,984
    Reviews
    49
    Average Words per Review
    566
    Rating
    8.4
    Comparisons
    Also Known As
    Snowflake Computing
    Learn More
    Overview

    Amazon Redshift is a fast and powerful, fully managed, petabyte-scale data warehouse service in the cloud. Customers can start small for just $0.25 per hour with no commitments or upfront costs and scale to a petabyte or more for $1,000 per terabyte per year, less than a tenth of most other data warehousing solutions.

    Traditional data warehouses require significant time and resource to administer, especially for large datasets. In addition, the financial cost associated with building, maintaining, and growing self-managed, on-premise data warehouses is very high. Amazon Redshift not only significantly lowers the cost of a data warehouse, but also makes it easy to analyze large amounts of data very quickly.

    Amazon Redshift gives you fast querying capabilities over structured data using familiar SQL-based clients and business intelligence (BI) tools using standard ODBC and JDBC connections. Queries are distributed and parallelized across multiple physical resources. You can easily scale an Amazon Redshift data warehouse up or down with a few clicks in the AWS Management Console or with a single API call. Amazon Redshift automatically patches and backs up your data warehouse, storing the backups for a user-defined retention period. Amazon Redshift uses replication and continuous backups to enhance availability and improve data durability and can automatically recover from component and node failures. In addition, Amazon Redshift supports Amazon Virtual Private Cloud (Amazon VPC), SSL, AES-256 encryption and Hardware Security Modules (HSMs) to protect your data in transit and at rest.

    As with all Amazon Web Services, there are no up-front investments required, and you pay only for the resources you use. Amazon Redshift lets you pay as you go. You can even try Amazon Redshift for free.

    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."

    Offer
    Learn more about Amazon Redshift
    Learn more about Snowflake
    Sample Customers
    Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449
    Accordant Media, Adobe, Kixeye Inc., Revana, SOASTA, White Ops
    Top Industries
    REVIEWERS
    Comms Service Provider25%
    Computer Software Company25%
    Retailer19%
    Logistics Company13%
    VISITORS READING REVIEWS
    Computer Software Company27%
    Comms Service Provider12%
    Financial Services Firm9%
    Media Company8%
    REVIEWERS
    Computer Software Company39%
    Financial Services Firm12%
    Manufacturing Company9%
    Comms Service Provider6%
    VISITORS READING REVIEWS
    Computer Software Company26%
    Comms Service Provider13%
    Financial Services Firm10%
    Insurance Company6%
    Company Size
    REVIEWERS
    Small Business32%
    Midsize Enterprise34%
    Large Enterprise34%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise12%
    Large Enterprise73%
    REVIEWERS
    Small Business24%
    Midsize Enterprise23%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise14%
    Large Enterprise70%
    Buyer's Guide
    Amazon Redshift vs. Snowflake
    May 2022
    Find out what your peers are saying about Amazon Redshift vs. Snowflake and other solutions. Updated: May 2022.
    607,127 professionals have used our research since 2012.

    Amazon Redshift is ranked 4th in Cloud Data Warehouse with 15 reviews while Snowflake is ranked 1st in Cloud Data Warehouse with 49 reviews. Amazon Redshift is rated 7.6, while Snowflake is rated 8.4. The top reviewer of Amazon Redshift writes "Quick to deploy, easy to use, and performs well, but ingesting data in realtime should be improved". On the other hand, the top reviewer of Snowflake writes "Good usability, good data sharing and elastic compute features, and requires less DBA involvement". Amazon Redshift is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, Vertica, Teradata and Oracle Autonomous Data Warehouse, whereas Snowflake is most compared with Microsoft Azure Synapse Analytics, Vertica, AWS Lake Formation, Teradata and Oracle Exadata. See our Amazon Redshift vs. Snowflake 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.