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Snowflake vs WP Bolt comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 1, 2026

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Snowflake
Ranking in Data Warehouse
1st
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
106
Ranking in other categories
Cloud Data Warehouse (1st), AI Synthetic Data (1st), Database Management Systems (DBMS) (7th), AI Software Development (9th)
WP Bolt
Ranking in Data Warehouse
27th
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2026, in the Data Warehouse category, the mindshare of Snowflake is 9.3%, down from 13.5% compared to the previous year. The mindshare of WP Bolt is 1.5%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Mindshare Distribution
ProductMindshare (%)
Snowflake9.3%
WP Bolt1.5%
Other89.2%
Data Warehouse
 

Featured Reviews

SunilPatil1 - PeerSpot reviewer
Asset Builder at Genpact - Headstrong
Have prioritized security while managing multi-agent data migration and cloud adoption
We utilize Time Travel with Snowflake because this is a very useful feature. Everyone finds it crucial because in conventional data platforms, it's very difficult to handle these kinds of things. This feature is essential, though I don't have the use cases currently; it is just there for implementation. Regarding Snowflake's automated scaling and suspension features, this auto-scaling is very significant. We had a comparison with Databricks and Snowflake a few months back, and this auto-scaling takes an edge within Snowflake; that's what our observation reflects.
it_user665328 - PeerSpot reviewer
ETL Developer at a music company with 501-1,000 employees
the most useful feature of the product is object imaging. It is the champion in the world of RDBMS.
Although they already have patches to address the instability of CORV (Create or Replace Views) CASCADE, I believe this is the area that should receive most attention. I am, however, still not sure if the patch has officially been recognised and deployed as part of their version updates. There are a few critical issues/bugs that we have experienced on our production environment, which required intervention from Kognitio. As one of Kognitio's biggest clients, their response times were quick and patches were also quick to be released to address production issues. Also, slabs management seems to be, or can be, a very hands-on tasks especially when reaching its capacity. It will be every WX2/KAP developer’s or DBA’s paradise if the product can be configured in this area to be fully/semi-automated.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"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."
"Technical support is very, very good."
"Snowflake helped us to improve query performance as the data was growing."
"A user-friendly and reliable solution."
"Snowflake has positively impacted us by making everything cloud-native, significantly reducing the systems and application running process."
"It is a very good platform. It can handle structured and semi-structured data, and it can be used for your data warehouse or data lake. It can load and deal with any data that you have. It can extract data from an on-premises database or a website and make it available in the cloud. It has very fast implementation and integration as compared to other solutions. There is no need for the DBA to manage or do the day-to-day DBA tasks, which is one of the greatest things about it."
"The most valuable features of Snowflake are that you have to pay per usage, and you don't have to worry about the maintenance of the data warehouse because it is on the cloud."
"The snapshot feature is good, the rollback feature is good and the interface is user-friendly."
"In the world of RDBMS, WX2/KAP is, I believe, the champion, or should be if not already!"
 

Cons

"I would like to see more transparency in data processing, ATLs, and compute areas - which should give more comfort to the end users."
"The documentation could improve. They should provide architecture information."
"Its stability could be better."
"An additional feature I'd like to see is called materialized views, which can speed up some run times. I'd like it to be able to be used where you can have multiple tables inside them; materialized view. That would be nice. As well as being able to run cursors, to be able to do some bulk updates and some more advanced querying, table building on the fly."
"Their strategy is just to leverage what you've got and put Snowflake in the middle. It does work well with other tools. You have to buy a separate reporting tool and a separate data loading tool, whereas, in some platforms, these tools are baked in. In the long-term, they'll need to add more direct partnerships to the ecosystem so that it's not like adding on tools around Snowflake to make it work. They can also consider including Snowflake native reporting tools versus partnering with other reporting tools. It would kind of change where they sit in the market."
"Snowflake needs transparency over costs and pricing."
"They should improve the reporting tools."
"Several areas need to be improved, as follows: Cost reduction: This is always good to have, and nobody would say no to it."
"It does not have the robustness or stability like of Oracle or Teradata; the upper right quadrant."
 

Pricing and Cost Advice

"I have not been billed yet, but it should be less. I'm still running the trial version, but it seems to be less than Databricks."
"Snowflake’s pricing is transparent. It is one of the cheapest cloud database warehouse providers. The tool follows a credit cost model. Everything on Snowflake is charged on the basis of credits. The credits depend on the cloud region and the public cloud provider that we use. Hence, the cost per credit will be different for AWS in Frankfurt and AWS in India. I think North Virginia is the cheapest region in terms of cost per credit. You will be consuming around 16 credits for large data warehouses."
"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."
"You need to be aware of the bloating costs. It is easy to use, but if you don't use it wisely, then your monthly bill can bloat a lot. You need to be a bit aware of its consumption cost."
"The pricing part is based on the computing and storage. The costs are different and then there are services costs as well."
"Snowflake is cost-effective."
"Snowflake is expensive, but when I consider what we get for that price, it's fair. I rate the solution three out of five for affordability, right in the middle."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Manufacturing Company
11%
Outsourcing Company
5%
Computer Software Company
5%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business30
Midsize Enterprise20
Large Enterprise61
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Snowflake?
I am not the person who manages pricing, setup cost, and licensing. Our team is not limited in pricing. The only experience we have had in terms of running and reprocessing a large number of histor...
What needs improvement with Snowflake?
One main area for improvement in Snowflake is cost visibility and optimization; while it's flexible and scalable, costs can increase quickly if warehouses are left running unnecessarily or workload...
What is your primary use case for Snowflake?
As a Data Engineer, I primarily use Snowflake for data warehousing tasks as well as ETL processing, and sometimes I also use it for data sharing. I personally find Snowflake better than other tools...
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Comparisons

 

Also Known As

Snowflake Computing, Snowflake Data Cloud
Kognitio WX2, WX2
 

Overview

 

Sample Customers

Accordant Media, Adobe, Kixeye Inc., Revana, SOASTA, White Ops
Aimia, Bed Bath & Beyond, bet365, Blueberry Wave, British Telecom, Ellerines, Everyclick, Nectar Italia, PlaceIQ, ScottishPower, Segmetrix, Tattershall Castle Group, Vocal Planet, VivaKi, Willard Bishop
Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse. Updated: June 2026.
900,644 professionals have used our research since 2012.