Teradata vs Treasure Data comparison

Teradata and Treasure Data are both solutions in the Data Warehouse category. Teradata is ranked #3 with an average rating of 7.3, while Treasure Data is ranked #15 with an average rating of 9.0. Teradata holds a 12.1% mindshare in Data Warehouse, compared to Treasure Data’s 1.1% mindshare. Additionally, 87% of Teradata users are willing to recommend the solution, compared to 100% of Treasure Data users who would recommend it.

Teradata

Read 77 Teradata reviews

10,160 Views
3,048 Comparison Views

87% willing to recommend

Treasure Data

Read 1 Treasure Data review

314 Views
198 Comparison Views

100% willing to recommend

Teradata

Treasure Data

Comparison Buyer's Guide

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Executive SummaryUpdated on Sep 30, 2025

Teradata and Treasure Data compete in the big data analytics space. Treasure Data may have the upper hand with versatile features, which justify a higher price for some tech buyers.

Features: Teradata provides advanced analytical functions, robust integration capabilities, and efficiency in processing massive datasets. Treasure Data stands out with flexible data ingestion, transformation features, and adaptability for diverse workflows.

Ease of Deployment and Customer Service: Teradata's deployment involves comprehensive planning, while Treasure Data offers cloud-native simplicity for quicker setups. Teradata is recognized for thorough customer service, whereas Treasure Data's support emphasizes responsiveness.

Pricing and ROI: Teradata's straightforward pricing appeals to large-scale implementations, creating cost predictability. Treasure Data's scalable pricing suits businesses that prefer to pay as they grow, focusing on flexibility and data process optimization.

To learn more, read our detailed Data Warehouse Report (Updated: August 2025).

Buyer's Guide

Data Warehouse

August 2025

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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

Teradata

Ranking in Data Warehouse

3rd

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (21st), Data Integration (17th), Relational Databases Tools (8th), BI (Business Intelligence) Tools (13th), Marketing Management (5th), Cloud Data Warehouse (4th)

Treasure Data

Ranking in Data Warehouse

15th

Average Rating

9.0

Reviews Sentiment

5.8

Number of Reviews

Ranking in other categories

Customer Data Platforms (CDP) (3rd)

Mindshare comparison

As of October 2025, in the Data Warehouse category, the mindshare of Teradata is 12.1%, down from 16.6% compared to the previous year. The mindshare of Treasure Data is 1.1%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Warehouse Market Share Distribution
Product	Market Share (%)
Teradata	12.1%
Treasure Data	1.1%
Other	86.8%

Data Warehouse

Featured Reviews

Kirk Robinson

Interim and Fractional CIO and CTO at a consultancy with 11-50 employees

Has improved data quality, optimized reporting processes, and enabled predictive insights across business units

The limitation we encountered was related to speed, prompting us to increase our AWS cloud thresholds and benchmarks on the servers, adding more throughput. We have been testing that, but speed remains one of our key issues. The integration has been awesome because of the platforms and their usage, and usability is great. The most challenging aspect is finding Teradata resources, so we are focusing on internal training and looking for more Teradata experts. If Teradata could provide a list of certified experts, that would be fantastic. I rated Teradata a nine because the main area for improvement is the bandwidth of resources that could assist us in applying to our projects, specifically more certified and expert resources. The market share of Teradata professionals is limited, creating an issue for us.

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DEEPAK SINGH THAKUR

Software Engineer at Indegene

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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Comparison Review

it_user232068

Senior Data Architect at a pharma/biotech company with 1,001-5,000 employees

Aug 5, 2015

Netezza vs. Teradata

Original published at https://www.linkedin.com/pulse/should-i-choose-net Two leading Massively Parallel Processing (MPP) architectures for Data Warehousing (DW) are IBM PureData System for Analytics (formerly Netezza) and Teradata. I thought talking about the similarities and differences…

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Top Industries

By visitors reading reviews

Financial Services Firm

25%

Computer Software Company

Manufacturing Company

Healthcare Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	26
Midsize Enterprise	12
Large Enterprise	49

No data available

Questions from the Community

Comparing Teradata and Oracle Database, which product do you think is better and why?

I have spoken to my colleagues about this comparison and in our collective opinion, the reason why some people may declare Teradata better than Oracle is the pricing. Both solutions are quite simi...

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Which companies use Teradata and who is it most suitable for?

Before my organization implemented this solution, we researched which big brands were using Teradata, so we knew if it would be compatible with our field. According to the product's site, the comp...

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Is Teradata a difficult solution to work with?

Teradata is not a difficult product to work with, especially since they offer you technical support at all levels if you just ask. There are some features that may cause difficulties - for example,...

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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 ...

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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.

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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...

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Comparisons

Oracle Exadata vs Teradata

Compared 11% of the time

IBM Db2 Database vs Teradata

Compared 8% of the time

Snowflake vs Teradata

Compared 7% of the time

SQL Server vs Teradata

Compared 7% of the time

OpenText Analytics Database (Vertica) vs Teradata

Compared 6% of the time

More Teradata Competitors

Snowflake vs Treasure Data

Compared 34% of the time

Hightouch vs Treasure Data

Compared 34% of the time

Microsoft Analytics Platform System vs Treasure Data

Compared 32% of the time

More Treasure Data Competitors

Product Reports

Buyer's Guide

Teradata

September 2025

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Buyer's Guide

Data Warehouse

August 2025

Download Treasure Data product report

Also Known As

IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture, Teradata Vantage Enterprise (DIY)

No data available

Overview

Teradata is a powerful tool for handling substantial data volumes with its parallel processing architecture, supporting both cloud and on-premise environments efficiently. It offers impressive capabilities for fast query processing, data integration, and real-time reporting, making it suitable for diverse industrial applications.

Known for its robust parallel processing capabilities, Teradata effectively manages large datasets and provides adaptable deployment across cloud and on-premise setups. It enhances performance and scalability with features like advanced query tuning, workload management, and strong security. Users appreciate its ease of use and automation features which support real-time data reporting. The optimizer and intelligent partitioning help improve query speed and efficiency, while multi-temperature data management optimizes data handling.

What are the key features of Teradata?

Parallel Processing Architecture: Enables efficient handling of substantial data volumes.
Cloud and On-Premise Deployment: Offers seamless adaptability across environments.
Query Tuning: Improves speed and performance of data retrieval processes.
Workload Management: Ensures optimal resource allocation for enhanced performance.
Robust Security: Provides high levels of data protection and system integrity.
Data Integration: Facilitates cohesive data management from multiple sources.
Automation for Real-time Reporting: Enhances timely data insights and decision-making.
Optimizer and Intelligent Partitioning: Further increase query speed and system efficiency.
Multi-Temperature Data Management: Optimizes the handling and retrieval of data.

What benefits and ROI do users look for?

Efficient Data Management: Facilitates smooth integration and processing of diverse data sets.
Scalability: Easy adjustment to increasing or decreasing data requirements.
Improved Performance: Fast query speeds and optimized resource use.
Comprehensive Security: Safeguards data integrity and accessibility.
Ease of Use: Simplifies data handling and operational processes.

In the finance, retail, and government sectors, Teradata is employed for data warehousing, business intelligence, and analytical processing. It handles vast datasets for activities like customer behavior modeling and enterprise data integration. Supporting efficient reporting and analytics, Teradata enhances data storage and processing, whether deployed on-premise or on cloud platforms.

Teradata

Treasure Data offers a powerful data management platform primarily used for customer data integration and behavior analytics. It excels in creating unified views of customer data from multiple sources, enabling tailored marketing and optimized targeted advertising through robust segmentation and predictive analytics. With a user-friendly interface and real-time analytics, it enhances organizational efficiency, supports large-scale data processing, and aids in making quick, informed decisions.

Treasure Data

Sample Customers

Netflix

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: August 2025.

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