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BigQuery vs TIBCO Live Datamart 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
7.2
Number of Reviews
41
Ranking in other categories
Cloud Data Warehouse (3rd)
TIBCO Live Datamart
Average Rating
9.0
Reviews Sentiment
7.0
Number of Reviews
2
Ranking in other categories
Data Warehouse (23rd)
 

Featured Reviews

Luís Silva - PeerSpot reviewer
Handles large data sets efficiently and offers flexible data management capabilities
The features I find most valuable in this solution are the ability to run and handle large data sets in a very efficient way with multiple types of data, relational as SQL data. It is kind of difficult to explain, but structured data and the ability to handle large data sets are key features. The data integration capabilities in BigQuery were, in fact, an issue at the beginning. There are two types of integrations. As long as integration is within Google, it is pretty simple. When you start to try to connect external clients to that data, it becomes more complex. It is not related to BigQuery, it is related to Google security model, which is not easy to manage. I would not call it an integration issue of BigQuery, I would call it an integration issue of Google security model.
Mohsin Pathan - PeerSpot reviewer
Standout features are real-time dashboards and powerful aggregation
This product has a powerful aggregating feature which is great. It also has its own APIs. Whenever the data comes in, it can be streamed out anywhere. It's the only solution that provides real-time dashboards. Tableau doesn't have this feature. The three variants of historical data, real-time data and predicted data from Spitfire, give more strength to LiveDatamart without any dependency on other products. The product is easy to set up with very low maintenance required.

Quotes from Members

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

Pros

"Its integration with other tools like Atlan through a Google Chrome extension is highly beneficial."
"The integrated data storage features are good."
"The initial setup is simple."
"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."
"There are some performance features like partitioning, which you can do based on an integer, and it improves the performance a lot."
"The product's most valuable features include its scalability and the ability to handle complex queries on large datasets."
"It has a well-structured suite of complimentary tools for data integration and so forth."
"We basically used it to store server data and generate reports for enterprise architects. It was a valuable tool for our enterprise design architect."
"You can create your own rules that include mathematic calculations."
"The solution has a powerful aggregating feature"
 

Cons

"It would be helpful if they could provide some dashboards where you can easily view charts and information."
"BigQuery can be very expensive if not used properly. Introducing AI tools that would allow you to optimize the data extraction process is an area of serious improvement."
"Instead of connecting directly to BigQuery, we connect to GCP, Cloud Run, and then to BigQuery, which is a long process."
"The process of migrating from Datastore to BigQuery should be improved."
"It would be beneficial to integrate additional tools, particularly from a business intelligence perspective."
"When I execute a query, the dashboard doesn't always present the output seamlessly. Troubleshooting requires opening each pipeline individually, which is time-consuming."
"The price could be better. Compared to competing solutions, BigQuery is expensive. It's only suitable for enterprise customers, not small and medium-sized businesses, as they cannot afford this kind of solution. In the next release, it would be better if they improved their AI bot. Although machine learning and artificial intelligence are doing wonders, there is still a lot of room to enhance them."
"The initial setup could be improved making it easier to deploy."
"Improvements need to be made on the load balancing side."
"The solution's setup could be quicker and easier."
 

Pricing and Cost Advice

"The price is a bit high but the technology is worth it."
"I have tried my own setup using my Gmail ID, and I think it had a $300 limit for free for a new user. That's what Google is offering, and we can register and create a project."
"The platform is inexpensive."
"The solution is pretty affordable and quite cheap in comparison to PDP or Cloudera."
"The pricing appears to be competitive for the intended usage scenarios we have in mind."
"BigQuery pricing can increase quickly. It's a high-priced solution."
"We are above the free threshold, so we are paying around 40 euros per month for BigQuery."
"Its cost structure operates on a pay-as-you-go model."
"The solution might be considered a bit expensive because it competes with open-source products."
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Top Industries

By visitors reading reviews
Computer Software Company
16%
Financial Services Firm
16%
Manufacturing Company
12%
Retailer
8%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

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?
I believe the cost of BigQuery is competitive versus the alternatives in the market, but it can become expensive if the tool is not used properly. It is on a per-consumption basis, the billing, so ...
What needs improvement with BigQuery?
I have not used BigQuery for AI and machine learning projects myself. I know how to use it, and I can see where it would be useful, but so far, in my projects, I have not included a BigQuery compon...
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Comparisons

No data available
 

Also Known As

No data available
Streambase, TIBCO LiveView Data Mart
 

Overview

 

Sample Customers

Information Not Available
Aerospace Corporation, Balfour Beatty Infrastructure Services, Banco Sabadell, Bolton Borough Council
Find out what your peers are saying about BigQuery vs. TIBCO Live Datamart and other solutions. Updated: June 2025.
859,129 professionals have used our research since 2012.