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BigQuery vs Treasure Data 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)
Treasure Data
Average Rating
9.0
Reviews Sentiment
5.8
Number of Reviews
1
Ranking in other categories
Data Warehouse (14th), Customer Data Platforms (CDP) (3rd)
 

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.
DEEPAK SINGH THAKUR - PeerSpot reviewer
Users can effortlessly create tables and manage data, even without utilizing the graphical interface
The initial setup is difficult due to the lack of detailed documentation. While the documentation provides a high-level overview, it lacks the specific instructions needed for setup. We relied on assistance from the Treasure Data team, including their support team, to navigate the process. Additionally, various policies to consider further complicate the setup, which ultimately requires time. We handle a large volume of data, and ensuring everything runs smoothly is crucial. Previously, it would take three to four months for one deployment due to the need to create workflows, conduct functional and comprehensive testing to ensure everything works seamlessly, and then proceed with delivery.
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Top Industries

By visitors reading reviews
Computer Software Company
16%
Financial Services Firm
15%
Manufacturing Company
11%
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...
What needs improvement with Treasure Data?
In data management, we have a lot of data, including some PII, visible to everyone without any restrictions. This poses a significant problem because there isn't proper control over who can access ...
What is your primary use case for Treasure Data?
We need to create a 360-degree profile of a user using data from multiple sources. Subsequently, we utilize this data for marketing purposes.
What advice do you have for others considering Treasure Data?
We used to gather data from various sources, including websites. The data used to flow in real-time, requiring us to capture it promptly. Within seconds, we could see four to five reports. Treasure...
 

Overview

 

Sample Customers

Information Not Available
Pioneer, Dentsu, Diverse, Albert, Retty, FreakOut, Mobfox, Pebble, Livesense, GREE, Cookpad, Dashbid, Cloud9, Just Premium
Find out what your peers are saying about Snowflake Computing, Microsoft, Google and others in Cloud Data Warehouse. Updated: July 2025.
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