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Microsoft Azure Synapse Analytics 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

Microsoft Azure Synapse Ana...
Average Rating
7.8
Reviews Sentiment
7.0
Number of Reviews
93
Ranking in other categories
Cloud Data Warehouse (5th)
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

Renee Hoon - PeerSpot reviewer
Scalable performance tuning and optimization for finance and supply chain jobs
We run our finance and supply chain jobs using SQL BW, and we visualize our data loads on Power BI. We are using SQL Data Warehouse for data warehousing In terms of cost savings, we don't need specialization in skills as advanced as Teradata. We used to pay extensive licensing fees for Teradata,…
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
Manufacturing Company
11%
Financial Services Firm
8%
Computer Software Company
8%
Government
8%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

How does Amazon Redshift compare with Microsoft Azure Synapse Analytics?
Amazon Redshift is very fast, has a very good response time, and is very user-friendly. The initial setup is very straightforward. This solution can merge and integrate well with many different dat...
What do you like most about Microsoft Azure Synapse Analytics?
The product is easy to use, and anybody can easily migrate to advanced DB.
What is your experience regarding pricing and costs for Microsoft Azure Synapse Analytics?
I think the price of Microsoft Azure Synapse Analytics is very expensive, but that's not only for Microsoft Azure Synapse Analytics—it's for the cloud in general. The cloud is not cost-effective. I...
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...
 

Also Known As

Azure Synapse Analytics, Microsoft Azure SQL Data Warehouse, Microsoft Azure SQL DW, Azure SQL Data Warehouse, MS Azure Synapse Analytics
No data available
 

Overview

 

Sample Customers

Toshiba, Carnival, LG Electronics, Jet.com, Adobe, 
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, Oracle, Teradata and others in Data Warehouse. Updated: July 2025.
864,574 professionals have used our research since 2012.