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Compare TrendMiner and dataPARC 
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At a Glance
Market Segments
Enterprise (52.5% of reviews)
Mid-Market (63.2% of reviews)
Entry-Level Pricing
Contact Us
No pricing available
TrendMiner
Star Rating
(181)4.6 out of 5
Market Segments
Enterprise (52.5% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us
Learn more about TrendMinerdataPARC
Star Rating
(39)4.9 out of 5
Market Segments
Mid-Market (63.2% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about dataPARCSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that TrendMiner excels in its Graphs and Charts feature, scoring 9.6, which reviewers mention provides visually appealing and insightful data representations. In contrast, dataPARC's Graphs and Charts feature, while still strong, scores lower at 9.0, indicating a slight edge for TrendMiner in this area.
- Reviewers mention that dataPARC shines in Data Collection, achieving a score of 9.6, which users say allows for seamless integration and retrieval of data from various sources. TrendMiner, with a score of 8.5, is noted to be effective but not as robust in this aspect.
- G2 users highlight that TrendMiner's Dashboards feature is highly rated at 9.4, providing customizable and user-friendly interfaces for monitoring key metrics. Conversely, dataPARC's Dashboards score 9.6, indicating a slight advantage in user experience and functionality.
- Users on G2 report that dataPARC's Real-Time Updating feature is particularly strong, scoring 9.5, which reviewers say enhances decision-making capabilities. TrendMiner matches this score, but users feel dataPARC offers a more intuitive experience in real-time data management.
- Reviewers mention that TrendMiner's Quality of Support is rated at 9.2, with users praising the responsiveness and helpfulness of the support team. In comparison, dataPARC scores slightly higher at 9.6, indicating a more favorable perception of customer service.
- Users say that dataPARC's Data Models feature, scoring 9.3, is particularly effective for complex data analysis, while TrendMiner's score of 7.8 suggests it may not be as versatile in handling intricate data structures, leading to a preference for dataPARC among users needing advanced modeling capabilities.
Pricing
Entry-Level Pricing
TrendMiner
Custom
Contact Us
TrendMiner is priced to fit your company size. You can request more details here: https://www.trendminer.com/pricing/
- Custom pricing
dataPARC
No pricing availableFree Trial
TrendMiner
No trial information availabledataPARC
No trial information availableRatings
Meets Requirements
8.6
160
9.6
32
Ease of Use
8.8
164
9.1
32
Ease of Setup
8.4
61
8.8
18
Ease of Admin
8.5
37
8.8
18
Quality of Support
9.2
156
9.6
32
Has the product been a good partner in doing business?
9.3
44
9.7
18
Product Direction (% positive)
9.5
159
9.2
30
Features by Category
Reports
Not enough data
8.1
25
Not enough data
8.1
19
Not enough data
9.7
25
Not enough data
9.0
16
Not enough data
9.4
24
Self Service
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Reports
Not enough data
8.1
25
Not enough data
8.1
19
Not enough data
9.7
25
Not enough data
9.0
16
Not enough data
9.4
24
Reports
Not enough data
8.7
20
Not enough data
8.9
17
Not enough data
9.1
13
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Visualization
Not enough data
9.6
23
Not enough data
9.4
16
Not enough data
9.3
23
Not enough data
8.6
16
Data Updates
Not enough data
9.6
21
Not enough data
9.6
23
Collaboration
Not enough data
8.9
16
Not enough data
8.2
12
Not enough data
8.8
13
Data Updates
Not enough data
9.3
23
Not enough data
9.6
24
Not enough data
9.4
19
Data Management
8.3
71
9.2
11
7.7
69
9.3
10
7.6
65
8.9
9
8.5
69
9.6
13
7.6
63
8.3
10
Analytics
8.3
65
9.6
12
8.9
70
9.7
12
8.1
73
9.6
14
Agentic AI - Manufacturing Intelligence
5.2
10
Not enough data
Data Sources
7.9
40
8.3
5
7.8
39
7.5
6
8.8
40
9.2
6
Analytics
8.1
39
9.7
5
8.1
39
9.4
6
8.8
40
9.7
6
8.5
40
9.3
5
Metrics
8.3
39
9.3
5
8.7
40
9.3
5
8.3
40
9.3
5
8.7
40
9.3
5
Statistical Tool
7.4
66
Not enough data
8.6
74
Not enough data
7.7
70
Not enough data
Data Analysis
9.0
80
Not enough data
8.5
76
Not enough data
Decision Making
8.0
76
Not enough data
8.9
81
Not enough data
8.2
75
Not enough data
8.3
72
Not enough data
Generative AI
6.6
45
Not enough data
6.6
45
Not enough data
Categories
Categories
Shared Categories
TrendMiner and dataPARC are categorized as Time Series Intelligence, Manufacturing Intelligence, and IoT Analytics Platforms
Unique Categories
TrendMiner is categorized as Predictive Analytics
dataPARC is categorized as Time Series Databases and Data Visualization
Reviews
Reviewers' Company Size
TrendMiner
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
dataPARC
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Chemicals
50.3%
Oil & Energy
7.8%
Computer Software
4.5%
Manufacturing
2.8%
Plastics
2.8%
Other
31.8%
Paper & Forest Products
65.8%
Manufacturing
10.5%
Oil & Energy
7.9%
Chemicals
5.3%
Renewables & Environment
2.6%
Other
7.9%
Discussions
What is TrendMiner used for?
1 Comment
Official Response from TrendMiner
TrendMiner is used for advanced analytics in process manufacturing industries. Its primary functions and applications include:
Real-Time Monitoring: It...Read more
TrendMiner has no more discussions with answers
What is dataPARC used for?
1 Comment
Official Response from dataPARC
dataPARC is a software suite. There are two main products, the dataPARC Historian and PARCview. The dataPARC Historian delivers optimized storage and is the...Read more
dataPARC has no more discussions with answers
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