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Teradata vs WP Bolt comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 5, 2026

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
6.9
Number of Reviews
83
Ranking in other categories
Customer Experience Management (5th), Backup and Recovery (15th), Data Integration (14th), Relational Databases Tools (5th), BI (Business Intelligence) Tools (7th), Marketing Management (4th), Cloud Data Warehouse (2nd), Database Management Systems (DBMS) (4th)
WP Bolt
Ranking in Data Warehouse
27th
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2026, in the Data Warehouse category, the mindshare of Teradata is 8.7%, down from 15.5% compared to the previous year. The mindshare of WP Bolt is 1.5%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Mindshare Distribution
ProductMindshare (%)
Teradata8.7%
WP Bolt1.5%
Other89.8%
Data Warehouse
 

Featured Reviews

David Durand Velásquez - PeerSpot reviewer
Engineers at a consultancy with 11-50 employees
Delivers consistent performance and enables advanced analytics across complex data environments
Teradata stands out as a solid platform for managing and analyzing large volumes of data. Its architecture allows information to be processed efficiently while maintaining stable performance, even in highly demanding environments. One of its most notable strengths is the ability to run complex queries at high speed, which is essential for organizations that require timely and reliable analytics. Teradata offers a well-integrated ecosystem that supports working with different types of data and enables scalability as organizational needs grow. Its focus on advanced analytics, integration with modern business intelligence tools, and the ability to operate both on-premise and in the cloud make it a versatile solution for data warehousing and large-scale processing. Teradata's stability, technological maturity, and the availability of strong documentation and best practices are noteworthy. I consider Teradata to be a tool with great potential for any organization looking to enhance its analytical capabilities, optimize data processing, and move toward more data-driven decision-making. Teradata stands out as a solid platform for managing a large volume of data in different projects. Its architecture allows information to be processed efficiently while maintaining stable performance, even in high-demanding environments. A well-integrated AI ecosystem that supports working with different types of data and enables scalability as organizational needs grow across different kinds of enterprises or organizations. The focus on advanced analytics integration with modern business intelligence tools is particularly valuable. Teradata combines a powerful parallel process and optimizing SQL engine with a highly scalable architecture allowing businesses to execute complex queries and analytics in real-time. It supports multi-cloud, hybrid, and on-premise environments, giving organizations flexibility to choose the setup that best aligns with their strategy. One of the biggest strengths is the ability to unify disparate data sources and support high concurrency, enabling different teams, such as analytics, operations, BI, and data science, to access consistent, trusted data across the enterprise.
it_user665328 - PeerSpot reviewer
ETL Developer at a music company with 501-1,000 employees
the most useful feature of the product is object imaging. It is the champion in the world of RDBMS.
Although they already have patches to address the instability of CORV (Create or Replace Views) CASCADE, I believe this is the area that should receive most attention. I am, however, still not sure if the patch has officially been recognised and deployed as part of their version updates. There are a few critical issues/bugs that we have experienced on our production environment, which required intervention from Kognitio. As one of Kognitio's biggest clients, their response times were quick and patches were also quick to be released to address production issues. Also, slabs management seems to be, or can be, a very hands-on tasks especially when reaching its capacity. It will be every WX2/KAP developer’s or DBA’s paradise if the product can be configured in this area to be fully/semi-automated.

Quotes from Members

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

Pros

"Teradata appeared to be way faster than a similarly configured (in terms of hardware) Oracle server."
"It is a stable program."
"We did performance testing. We had a set of real life MicroStrategy reports. Our conditions were: Not allowed to redesign data model, not allowed to rewrite the queries, all queries should be generated by MicroStrategy, no aggregates. Teradata appeared to be way faster than a similarly configured (in terms of hardware) Oracle server."
"It's a pre-configured appliance that requires very little in terms of setting-up."
"Our business processes are much more efficient with Teradata's speed."
"It effectively has allowed us to remove over 20 portion copies of the data sets on other DB platforms for real-time operational reporting purposes."
"The performance is great, we are able to query our data in one operation."
"It is the core of our fundamental real-time reporting and operational planning and has saved us over eight figures in the operational run costs, improved data quality and consistency as well as reduced our overall infrastructure support requirements."
"In the world of RDBMS, WX2/KAP is, I believe, the champion, or should be if not already!"
 

Cons

"Since I was working on the very basic, legacy systems, the memory thing was always a challenge. If Teradata is moving to the cloud, the space constraint or the memory issue that my company generally faces will eventually resolve, in time. What I'd like to see in the next release of Teradata is that it becomes full-fledged on the cloud, apart from better connectivity to various systems. For example, if I have to read or include a Python script, if I write some basic codes, I should be able to read even unstructured data. I know that it's not supported even in Snowflake, but at least semi-structured data support, if that can be a little more enhanced, that would be good."
"It should be compatible and free on CLOUD/ AWS. Currently many DB's on AWS are free, Teradata is also on Amazon Web Services, but its charged and no documentation available to practice those LABS."
"Teradata can improve the way it handles big data and unstructured data."
"From my perspective, it would be good if they gave better ITIN/R plugins to use the data for AI modeling, or data science modeling. We can do it now; however, it could be more elegant in terms of interfacing."
"Teradata's pricing is quite high compared to Redshift, Synapse, or GCP alternatives."
"Teradata hardly supports unstructured data or semi-structured data"
"The price of Teradata is expensive."
"Apart from Control-M, it would be nice if it could integrate with other tools."
"It does not have the robustness or stability like of Oracle or Teradata; the upper right quadrant."
 

Pricing and Cost Advice

"It's a very expensive product."
"The solution requires a license."
"Teradata used to be expensive, but they have been lowering their prices."
"The cost is significantly high."
"Make sure you have the in-house skills to design and support the solution, as relying on external sources is extremely costly and tends to lock you into specific platforms, tools, and paradigms."
"Teradata's licensing is on the expensive side."
"​When looking into implementing this product, pricing is the main issue followed by technical expertise​."
"The price needs to be more competitive as Hadoop, Redshift, Snowflake, etc are constantly making way into EDW space."
Information not available
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Comparison Review

it_user232068 - PeerSpot reviewer
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…
 

Top Industries

By visitors reading reviews
Financial Services Firm
20%
Manufacturing Company
9%
Construction Company
7%
Comms Service Provider
5%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business28
Midsize Enterprise13
Large Enterprise53
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...
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...
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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Comparisons

 

Also Known As

IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture, Teradata Vantage Enterprise (DIY)
Kognitio WX2, WX2
 

Overview

 

Sample Customers

Netflix
Aimia, Bed Bath & Beyond, bet365, Blueberry Wave, British Telecom, Ellerines, Everyclick, Nectar Italia, PlaceIQ, ScottishPower, Segmetrix, Tattershall Castle Group, Vocal Planet, VivaKi, Willard Bishop
Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse. Updated: June 2026.
900,747 professionals have used our research since 2012.