IBM Db2 Warehouse vs Snowflake comparison

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962 views|511 comparisons
75% willing to recommend
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11,866 views|6,742 comparisons
96% willing to recommend
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Executive Summary

We performed a comparison between IBM Db2 Warehouse and Snowflake based on real PeerSpot user reviews.

Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed IBM Db2 Warehouse vs. Snowflake 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
"The analytics engine is not bad at forecasting predictions.""Some of the best features are stored procedures, parallelism, and different indexing strategies.""Provides good security and reliability.""It can be mounted on the cloud, which is a huge plus. If the client, for example, starts small with on-premise deployment and then it rapidly needs to grow, we can transfer this to the cloud easily.""The solution is stable.""I think it scales really well and as long as you take enough time to learn a little bit about it, it works really well.""The standout feature of IBM Db2 Warehouse, which is particularly valuable for large enterprises, is its ability to handle big data."

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"I like the ability to work with a managed service on the cloud and that is easy to start with.""The distributed architecture of Snowflake has the capacity to process huge datasets faster and allows us to scale up and down according to our needs.""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.""From a data warehouse perspective, it's an excellent all-round solution. It's very complete.""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.""The tool's performance is good. I think it's the best in the game right now. It usually charges per query. For example, if you run a SQL query on Snowflake with the same number of data records, it would take less than half the time compared to running it on Microsoft. It has good documentation. You can pick up Snowflake if you have previous knowledge of SQL.""It's ultra-fast at handling queries, which is what we find very convenient.""The product's most important feature is unloading data to S3."

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Cons
"In terms of improvement, IBM Db2 Warehouse should be more scalable.""Lacks sufficient documentation and particularly in Spanish.""The biggest challenge anyone could have with Db2 Warehouse is their references or online resources and documentation. They are very, very, very limited on the web.""The biggest problems we have is when the backup solution is failing or slow and we run out of log space, which has happened probably a couple of times in the last four years.""The areas of the solution that is needing the most improvement are separating compute from storage, elasticity, which means scaling up and then retracting.""There should be more material available for training and training should be free.""IBM Db2 Warehouse needs to improve its interface.""There were some initial challenges with IBM Db2 Warehouse about eight months ago when I worked in this environment. When I coordinated with IBM support, they mentioned that the memory was insufficient for our needs. Our business environment required significantly more memory than the previous cluster could provide. Consequently, we have worked closely with on-site IBM technical personnel to address this issue."

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"It doesn't enforce typical relational database constraints. Quite expensive.""Snowflake needs transparency over costs and pricing.""To ensure the proper functioning of Snowflake as an MDS, it relies heavily on other partner tools.""Its stability could be better.""We would like to have an on-premises deployment option that has the same features, including scalability.""The solution could improve the user interface and add functionality to the system.""They don't have any SLAs in place. It would be better if they did.""I don't know about GCP, if they have connected for GCP. If they don't, they should allow for it."

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Pricing and Cost Advice
  • "In a traditional on-prem database, in a data warehouse, the solution is probably on the expensive side."
  • More IBM Db2 Warehouse 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 →

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    Questions from the Community
    Top Answer:The standout feature of IBM Db2 Warehouse, which is particularly valuable for large enterprises, is its ability to handle big data.
    Top Answer:Db2 is a very expensive database. In comparison to Oracle, for example, where the cost depends on the size of the implementation. For an enterprise database, the cost is mid-range.
    Top Answer:IBM Db2 Warehouse needs to improve its interface.
    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 »
    Ranking
    13th
    out of 35 in Data Warehouse
    Views
    962
    Comparisons
    511
    Reviews
    3
    Average Words per Review
    363
    Rating
    7.3
    1st
    out of 35 in Data Warehouse
    Views
    11,866
    Comparisons
    6,742
    Reviews
    36
    Average Words per Review
    459
    Rating
    8.3
    Comparisons
    Also Known As
    InfoSphere Warehouse, IBM InfoSphere Warehouse
    Snowflake Computing
    Learn More
    IBM
    Video Not Available
    Overview
    InfoSphere Warehouse is a suite of products that combines the strength of DB2 with a data warehousing infrastructure from IBM. You can use InfoSphere Warehouse to build a complete data warehousing solution that includes a highly scalable relational database, data access capabilities, and front-end analysis tools.

    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."

      Sample Customers
      Alameda County Social Services Agency, Sui Southern Gas Company Limited
      Accordant Media, Adobe, Kixeye Inc., Revana, SOASTA, White Ops
      Top Industries
      VISITORS READING REVIEWS
      Educational Organization52%
      Financial Services Firm9%
      Computer Software Company7%
      Insurance Company5%
      REVIEWERS
      Computer Software Company30%
      Financial Services Firm20%
      Healthcare Company6%
      Manufacturing Company6%
      VISITORS READING REVIEWS
      Educational Organization27%
      Financial Services Firm13%
      Computer Software Company10%
      Manufacturing Company6%
      Company Size
      REVIEWERS
      Small Business40%
      Midsize Enterprise20%
      Large Enterprise40%
      VISITORS READING REVIEWS
      Small Business9%
      Midsize Enterprise55%
      Large Enterprise36%
      REVIEWERS
      Small Business26%
      Midsize Enterprise21%
      Large Enterprise54%
      VISITORS READING REVIEWS
      Small Business15%
      Midsize Enterprise34%
      Large Enterprise51%
      Buyer's Guide
      IBM Db2 Warehouse vs. Snowflake
      May 2024
      Find out what your peers are saying about IBM Db2 Warehouse vs. Snowflake and other solutions. Updated: May 2024.
      771,212 professionals have used our research since 2012.

      IBM Db2 Warehouse is ranked 13th in Data Warehouse with 9 reviews while Snowflake is ranked 1st in Data Warehouse with 94 reviews. IBM Db2 Warehouse is rated 7.8, while Snowflake is rated 8.4. The top reviewer of IBM Db2 Warehouse writes "Useful for ETL process and has good documentation ". On the other hand, the top reviewer of Snowflake writes "Good usability, good data sharing and elastic compute features, and requires less DBA involvement". IBM Db2 Warehouse is most compared with Oracle Exadata, Amazon Redshift, Apache Hadoop, Teradata and IBM Db2 Warehouse on Cloud, whereas Snowflake is most compared with BigQuery, Azure Data Factory, Teradata, Vertica and AWS Lake Formation. See our IBM Db2 Warehouse vs. Snowflake report.

      See our list of best Data Warehouse vendors and best Cloud Data Warehouse vendors.

      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.