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Helped 892,868 peers since 2012

Featured Seeq reviews

Seeq mindshare

As of May 2026, the mindshare of Seeq in the Data and Analytics Service Providers category stands at 1.2%, up from 0.6% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Data and Analytics Service Providers Mindshare Distribution
ProductMindshare (%)
Seeq1.2%
Palantir Foundry8.0%
EXL Analytics6.4%
Other84.4%
Data and Analytics Service Providers

PeerResearch reports based on Seeq reviews

TypeTitleDate
ProductReviews, tips, and advice from real usersMay 6, 2026Download
ComparisonSeeq vs Palantir FoundryMay 6, 2026Download
Suggested products
TitleRatingMindshareRecommending
HCL Digital & Analytics Services0.02.7%0%0 interviewsAdd to research
 
 
Key learnings from peers
Last updated May 4, 2026

Valuable Features

Room for Improvement

Pricing

Review data by company size

By reviewers
Company SizeCount
Small Business5
Midsize Enterprise2
Large Enterprise10
By reviewers
By visitors reading reviews
Company SizeCount
Small Business34
Midsize Enterprise30
Large Enterprise68
By visitors reading reviews

Top industries

By visitors reading reviews
Manufacturing Company
24%
Healthcare Company
9%
Construction Company
9%
Energy/Utilities Company
9%
Pharma/Biotech Company
7%
Real Estate/Law Firm
6%
Government
5%
Hospitality Company
4%
Comms Service Provider
4%
Computer Software Company
4%
Financial Services Firm
4%
Wholesaler/Distributor
3%
Media Company
2%
University
2%
Educational Organization
2%
Performing Arts
2%
Recreational Facilities/Services Company
2%
Renewables & Environment Company
1%
Non Tech Company
1%
Outsourcing Company
1%
Logistics Company
1%
Wellness & Fitness Company
1%

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Seeq Reviews Summary
Author infoRatingReview Summary
Machinery Engineer Intern at a university with 10,001+ employees4.0I used Seeq for compressor analysis, finding it user-friendly for data tracking and calculations, saving time and money. Occasional slowness was my only complaint. I rate it an eight for effectiveness and ease of use.
Manager, System Integration at a tech services company with 51-200 employees4.5I use Seeq for efficient process analytics, OEE, and root cause analysis, saving engineers significant time and generating ROI. I value its intuitive UI and integrations, though environment migration needs improvement. It's pricey but worth it.
Lead Engineer at a healthcare company with 10,001+ employees4.0I find Seeq invaluable for time series data analysis, particularly for remote monitoring in oil and gas, helping prevent catastrophic failures through predictive analytics and user-friendly dashboards. While generally stable, server upgrade issues are a minor concern.
Senior Data Scientist at TRIDIAGONAL SOLUTIONS PRIVATE LIMITED3.5I find Seeq very easy to use, excellent for time-series data, with impressive AI capabilities for predictive maintenance. However, its dashboarding is limited compared to competitors, and customer support responsiveness has declined due to process changes.
Transformation Engineer at a manufacturing company with 5,001-10,000 employees4.5I use Seeq for real-time process data analysis in glass manufacturing, optimizing quality and cycle times. Its fast visualization and easy integration are highly valuable, saving supervisors daily time. I recommend Seeq, though I wish for more flexible data table visualizations.
Global Product Manager at a pharma/biotech company with 501-1,000 employees4.0I found Seeq excellent for process monitoring, enabling advanced data analysis and operational savings. Its unique capsules and Workbooks are valuable. While stable with great support, I desire improved integrated custom scripting and simplified UI data loading.
Trainee Petroleum Engineer at QuEST Global4.5I find Seeq excellent for real-time oil and gas surveillance and process optimization, providing detailed monitoring. However, I wish it had AI and predictive analytics features, and improved its speed. I highly recommend it for its core use.
Area Manager Process Digitalisation at Nayara Energy4.0I rate Seeq 8/10, valuing its real-time predictive analysis. I desire more AI/ML for closed-loop manufacturing solutions. On-premise stability was an issue, but it's scalable for trained users and moderately priced, though not a complete one-stop solution.