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Infobright DB vs Snowflake comparison

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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

Infobright DB
Ranking in Data Warehouse
19th
Average Rating
7.6
Reviews Sentiment
6.3
Number of Reviews
10
Ranking in other categories
Relational Databases Tools (38th)
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) (3rd), AI Software Development (6th)
 

Mindshare comparison

As of September 2026, in the Data Warehouse category, the mindshare of Infobright DB is 2.3%, up from 1.0% compared to the previous year. The mindshare of Snowflake is 9.2%, down from 12.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Mindshare Distribution
ProductMindshare (%)
Snowflake9.2%
Infobright DB2.3%
Other88.5%
Data Warehouse
 

Featured Reviews

it_user708987 - PeerSpot reviewer
MySQL DBA at a financial services firm with 51-200 employees
Excellent reporting server that is compatible with MySQL
We ran into some quirks that Infobright had. We interacted with Infobright's support and were able to resolve them. There still are issues with data replication - Infobright is currently for one server (unless you buy the Infobright appliance). This would mean that redundancy is something you need to implement yourself.
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.

Quotes from Members

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

Pros

"Infobright gave us the ability to avoid significant changes in our data structure and just use Infobright like BigDataMySql."
"ICE helped us improve the speed for the “group-by” query by 10x."
"The high compression and the relatively fast load for a free product."
"The performance of ad hoc aggregation queries is superior to any RDBMS that I have used and I have used them all."
"A valuable feature was the use of a columnar database for large, ever-growing, big datasets."
"It has very amazing smart grid query feature for very fast aggregate queries across millions of rows"
"It is very straightforward and easy to work with."
"We now have multiple times faster queries in comparison to MS SQL."
"Snowflake is easy for business users to implement, allowing them to start small and grow big."
"We decided to go with Snowflake because it seemed mature and had what we wanted."
"I think this solution provides the best potential of any data warehousing product where they choose to use Snowflake instead of Oracle or DBII."
"The solution is easy to use."
"The most valuable feature of Snowflake is it's an all-in-one data warehousing solution."
"Snowflake is a great solution if you have substantial data volume."
"The technical support is pretty good, particularly if you are a more technical user."
"We switched to Snowflake for the availability, security, and loading times."
 

Cons

"There still are issues with data replication - Infobright is currently for one server (unless you buy the Infobright appliance)."
"Only the data from the columns that reached 2GB will actually decrease. Other columns below 2GB in size do not leave the disk."
"After all the re-work to our product to remove as much reliance on Infobright, and the extra hardware costs we had to absorb, there was definitely a negative return on investment."
"MPP, distributed processing!!! And better integration with Hadoop."
"There was no scalability at all. Infobright didn't permit any changes in tables."
"When running a complex subquery, the system hangs without giving the user any response."
"We didn’t purchase the Enterprise Edition because it was too expensive for a product that wasn’t going to replace our main DWH database (Oracle), but was, somehow, only an addition for it."
"On the contrary, we have switched back to the MS SSAS Tabular Model, because of pricing policy."
"I have heard people having difficulty with the machine learning model, so there may be room for improvement."
"Support needs improvement, as it can take several days before you get some initial support."
"Snowflake has to build more capabilities because they have only built very few adapters, but they're growing and they're building."
"The aspect of it that was more complicated was stored procedures. It does not support SQL language-based stored procedures. You have to write in JavaScript. If they supported SQL language and stored procedures, it would make migration from on-prem much simpler. In most cases, if an on-prem solution has stored procedures, they're usually written in SQL. They're not written as what most on-prem DBMS would refer to as an external stored procedure, which is what these feel like to most people because they're written in a language outside of SQL."
"Room for improvement would be writebacks. It doesn't support extensively writing back to the database, and it doesn't support web applications effectively. Ultimately, it's a database call, so if we are building web applications using Snowflake, it isn't that effective because there is some turnaround time from the database."
"Snowflake wasn't cheaper than BigQuery, and its affordability was the main issue."
"To ensure the proper functioning of Snowflake as an MDS, it relies heavily on other partner tools."
"The cost of the solution could be reduced."
 

Pricing and Cost Advice

"Our pricing was based on server instances and it was actually very cheap compared to Oracle. I guess you get what you pay for."
"Its price should be improved. It should be cheaper than Microsoft."
"There is a licensing for this solution and we purchased an enterprise license. Overall the solution is cost-effective."
"Snowflake licensing is more flexible and it is cheaper than other solutions. I can use it for only 10 days for MVP, or three years, and for flexible models. I can scale up, or down, and the pricing is based on the volume and duration. There are many licensing permutation combinations available."
"Currently, we have a trial account, so we don't need a license. After our project starts, we would need a permanent license."
"Snowflake goes by credits. For a financial institution where you have 5,000 employees, monthly costs may run up to maybe $5,000 to $6,000. This is actually based on the usage. It is mostly the compute cost. Your computing cost is the variable that is actually based on your usage. It is pay-per-use. In a pay-per-use case, you won't be spending more than $6,000 to $7,000 a month. It is not more than that for a small or medium enterprise, and it may come down to $100K per year. Storage is very standard, which is $23 a terabyte. It is not much for any enterprise. If you have even 20 terabytes, you are not spending more than $400 per month, which may turn out to be $2,000 to $3,000 per annum."
"Snowflake is cost-effective. However, the cost can depend on how it's being used and how efficiently the code is written. If engineers don't write efficient code and usage is billed based on processing, it can become costly. If they write optimal code and choose the best solution, it can reduce costs in comparison to other options, such as Oracle."
"I have worked with multiple clouds, and cost-wise, it is a bit costlier than others, such as Redshift. Its price should be reduced."
"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."
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Top Industries

By visitors reading reviews
Manufacturing Company
18%
Construction Company
15%
Comms Service Provider
11%
Outsourcing Company
11%
Financial Services Firm
18%
Manufacturing Company
11%
Outsourcing Company
8%
Construction Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise1
Large Enterprise2
By reviewers
Company SizeCount
Small Business30
Midsize Enterprise20
Large Enterprise61
 

Questions from the Community

Ask a question
Earn 20 points
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...
 

Also Known As

Infobright
Snowflake Computing, Snowflake Data Cloud
 

Overview

 

Sample Customers

REZ-1, SonicWALL, IntegriChain, Fuseforward International Inc., Polystar, Live Rail, Mavenir Systems, JDSU Partners, Bango
Accordant Media, Adobe, Kixeye Inc., Revana, SOASTA, White Ops
Find out what your peers are saying about Infobright DB vs. Snowflake and other solutions. Updated: September 2026.
913,683 professionals have used our research since 2012.