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BigQuery vs Infobright DB comparison

 

Comparison Buyer's Guide

Executive Summary

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

BigQuery
Average Rating
8.2
Reviews Sentiment
7.3
Number of Reviews
40
Ranking in other categories
Cloud Data Warehouse (4th)
Infobright DB
Average Rating
7.6
Reviews Sentiment
6.3
Number of Reviews
10
Ranking in other categories
Relational Databases Tools (37th), Data Warehouse (27th)
 

Featured Reviews

VikashKumar1 - PeerSpot reviewer
Easy to maintain and provides high availability
Since I used BigQuery over the GCP cloud environment, I'm not sure whether we can go through internal IDEAs like IntelliJ or DBeaver that we use to connect with databases. Instead of connecting directly to BigQuery, we connect to GCP, Cloud Run, and then to BigQuery, which is a long process. Sometimes, we face some issues, bugs, and defects. We must first connect with a VPN to check data issues while working from home. Then, it allows you to connect to the cloud. After logging into the cloud, it searches for the service we are looking for, and then we go to BigQuery. This is a long process. After that, we analyze the issues in a table. Instead, it would be very helpful if it could provide a tool that we can install on our MacBook or Windows system. Once we open this tool, we can connect directly to the BigQuery server and easily perform tasks.
SD
If you need a real big data solution, look for a distributed solution that actually has a proven track record.
This version of Infobright has zero support for distributed scalability. The internal smart grid employed for each table has a major flaw in that the data size cannot be expunged until 2GB of data is reached at the column-level. This is a major flaw, making usage in a big-data scenario impossible. This means that you can delete as many records from a database table as you want. However, unless the 2GB aggregate size threshold was reached for some of the columns in the table, no reduction in disk space usage will occur. Only the data from the columns that reached 2GB will actually decrease. Other columns below 2GB in size do not leave the disk. I spent countless hours trying to find some workaround for this. I have nightmares of my e-mail inbox full of unsolvable questions about data size reduction from our field engineers.

Quotes from Members

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

Pros

"BigQuery excels at data analysis. It processes vast amounts of information using its advanced architecture and sophisticated querying capabilities, making it crucial for critical insights and safe for handling sensitive data."
"The query tool is scalable and allows for petabytes of data."
"The most valuable aspect of BigQuery is its ability to handle high data workloads without causing friction with our online systems."
"The interface is what I find particularly valuable."
"BigQuery can be used for any type of company. It has the capability of building applications and storing data. It can be used for OLTP or OLAP. It has many other products within the Google space."
"The setup is simple."
"As a cloud solution, it's easy to set up."
"It's similar to a Hadoop cluster, except it's managed by Google."
"It has very amazing smart grid query feature for very fast aggregate queries across millions of rows"
 

Cons

"There are some limitations in the query latency compared to what it was three years ago."
"It would be beneficial if BigQuery could be made more affordable."
"The process of migrating from Datastore to BigQuery should be improved."
"We would like to be able to calibrate the solution to run on top of a raw file."
"The solution hinges on Google patterns so continued improvement is important."
"It can be slower and more problematic compared to other platforms such as Snowflake."
"The primary hurdle in this migration lies in the initial phase of moving substantial volumes of data to cloud-based platforms."
"There is a good amount of documentation out there, but they're consistently making changes to the platform, and, like, their literature hasn't been updated on some plans."
"Only the data from the columns that reached 2GB will actually decrease. Other columns below 2GB in size do not leave the disk."
 

Pricing and Cost Advice

"BigQuery is inexpensive."
"The pricing is good and there are no additional costs involved."
"The pricing appears to be competitive for the intended usage scenarios we have in mind."
"The solution is pretty affordable and quite cheap in comparison to PDP or Cloudera."
"The product’s pricing could be more flexible for end users."
"The tool has competitive pricing."
"The product operates on a pay-for-use model. Costs include storage and query execution, which can accumulate based on data volume and complexity."
"The price is a bit high but the technology is worth it."
"Our pricing was based on server instances and it was actually very cheap compared to Oracle. I guess you get what you pay for."
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Top Industries

By visitors reading reviews
Computer Software Company
17%
Financial Services Firm
15%
Manufacturing Company
11%
Retailer
8%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about BigQuery?
The initial setup process is easy.
What is your experience regarding pricing and costs for BigQuery?
The price is perceived as expensive, rated at eight out of ten in terms of costliness. Still, it offers significant cost savings.
What needs improvement with BigQuery?
When I open many of the Google Cloud products, I am in an environment that I do not feel familiar with; it is a little overwhelming. In general, if I know SQL and start playing around, it will star...
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Comparisons

No data available
 

Also Known As

No data available
Infobright
 

Overview

 

Sample Customers

Information Not Available
REZ-1, SonicWALL, IntegriChain, Fuseforward International Inc., Polystar, Live Rail, Mavenir Systems, JDSU Partners, Bango
Find out what your peers are saying about BigQuery vs. Infobright DB and other solutions. Updated: March 2025.
846,617 professionals have used our research since 2012.