Compare Hurree and dataPARC 
At a Glance
Market Segments
Small-Business (43.6% of reviews)
Mid-Market (63.2% of reviews)
Entry-Level Pricing
Free Per Month
No pricing available
Hurree
Star Rating
(96)4.9 out of 5
Market Segments
Small-Business (43.6% of reviews)
Pros & Cons
Entry-Level Pricing
Free Per Month
Free Trial is available
Browse all 3 pricing plansdataPARC
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.
- G2 reviewers report that Hurree excels in providing a user-friendly dashboard that simplifies the process of comparing campaign results over time. Users appreciate how it allows them to track performance changes effortlessly, making insights easy to understand without the need for manual analysis.
- Users say that dataPARC stands out for its intuitive design, especially for those familiar with Microsoft products. The software's layout is praised for being easy to navigate, which helps users quickly find relevant information, enhancing their overall experience.
- Reviewers mention that Hurree's ability to highlight trends and fluctuations in campaign performance is a significant advantage. This feature allows users to identify performance shifts clearly and efficiently, which is particularly beneficial for those managing multiple campaigns.
- According to verified reviews, dataPARC offers a high level of customization, allowing users to personalize displays and utilize custom scripting. This depth of functionality makes it suitable for both novice and experienced users, providing flexibility in how data is presented.
- G2 reviewers highlight that while both products have similar star ratings, Hurree's larger user base and recent review activity suggest a more robust and current user experience. With 139 recent reviews compared to dataPARC's single review, Hurree's feedback reflects a broader range of user experiences.
- Users report that dataPARC's strong support quality is a notable strength, with many praising the responsiveness and helpfulness of the support team. This aspect is crucial for users who may need assistance during implementation or when navigating complex features.
Pricing
Entry-Level Pricing
Hurree
Freemium
Free
Per Month
No payment method required simply sign up today and get access to your free-forever account. For the first 7 days, you’ll have the opportunity to try out all our features with our Professional tier for free.
- 1 Dashboard
- 10 Widgets
- 3 Connectors
dataPARC
No pricing availableFree Trial
Hurree
Free Trial is available
dataPARC
No trial information availableRatings
Meets Requirements
9.2
50
9.6
32
Ease of Use
9.6
52
9.1
32
Ease of Setup
9.5
35
8.8
18
Ease of Admin
8.8
10
8.8
18
Quality of Support
9.2
47
9.6
32
Has the product been a good partner in doing business?
9.0
10
9.7
18
Product Direction (% positive)
9.8
52
9.2
30
Features by Category
Reports
9.4
46
8.1
25
9.0
44
8.1
19
9.3
44
9.7
25
9.0
39
9.0
16
9.6
43
9.4
24
Self Service
Feature Not Available
Not enough data
Feature Not Available
Not enough data
9.3
40
Not enough data
Feature Not Available
Not enough data
9.0
42
Not enough data
Feature Not Available
Not enough data
Advanced Analytics
Feature Not Available
Not enough data
9.5
43
Not enough data
8.7
41
Not enough data
Building Reports
8.6
27
Not enough data
8.5
26
Not enough data
9.0
26
Not enough data
9.3
27
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
9.4
46
8.1
25
9.0
44
8.1
19
9.3
44
9.7
25
9.0
39
9.0
16
9.6
43
9.4
24
Reports
9.5
41
8.7
20
9.5
39
8.9
17
9.0
36
9.1
13
Generative AI
8.8
34
Feature Not Available
8.6
34
Feature Not Available
Visualization
9.3
39
9.6
23
9.1
35
9.4
16
9.6
38
9.3
23
Feature Not Available
8.6
16
Data Updates
9.2
40
9.6
21
9.1
41
9.6
23
Collaboration
9.1
40
8.9
16
8.8
38
8.2
12
8.9
37
8.8
13
Data Updates
9.4
40
9.3
23
9.1
40
9.6
24
9.3
39
9.4
19
Reports
9.4
46
8.1
25
9.0
44
8.1
19
9.3
44
9.7
25
9.0
39
9.0
16
9.6
43
9.4
24
Data Preparation
8.7
9
Not enough data
9.4
9
Not enough data
Data Modeling and Blending
8.7
9
Not enough data
8.9
9
Not enough data
8.7
9
Not enough data
Generative AI
8.8
8
Not enough data
8.3
7
Not enough data
Agentic AI - Analytics Platforms
8.3
8
Not enough data
9.0
8
Not enough data
9.4
8
Not enough data
9.0
8
Not enough data
8.5
8
Not enough data
8.8
8
Not enough data
9.2
8
Not enough data
Self Service
Feature Not Available
Not enough data
Feature Not Available
Not enough data
9.3
40
Not enough data
Feature Not Available
Not enough data
9.0
42
Not enough data
Feature Not Available
Not enough data
Deployment & Integration - Analytics Platforms
9.0
8
Not enough data
9.0
8
Not enough data
9.0
8
Not enough data
9.0
8
Not enough data
Advanced Analytics
Feature Not Available
Not enough data
9.5
43
Not enough data
8.7
41
Not enough data
Performance & Scalability - Analytics Platforms
9.0
8
Not enough data
9.4
8
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
8.5
8
Not enough data
8.8
8
Not enough data
8.3
7
Not enough data
Agentic AI Capabilities - Analytics Platforms
8.8
8
Not enough data
9.0
8
Not enough data
8.8
8
Not enough data
9.0
8
Not enough data
Personalized Intelligence - Analytics Platforms
8.8
7
Not enough data
8.3
8
Not enough data
9.0
8
Not enough data
Building Reports
8.6
27
Not enough data
8.5
26
Not enough data
9.0
26
Not enough data
9.3
27
Not enough data
Data Management
Not enough data
9.2
11
Not enough data
9.3
10
Not enough data
8.9
9
Not enough data
9.6
13
Not enough data
8.3
10
Analytics
Not enough data
9.6
12
Not enough data
9.7
12
Not enough data
9.6
14
Agentic AI - Manufacturing Intelligence
Not enough data
Not enough data
Data Sources
Not enough data
8.3
5
Not enough data
7.5
6
Not enough data
9.2
6
Analytics
Not enough data
9.7
5
Not enough data
9.4
6
Not enough data
9.7
6
Not enough data
9.3
5
Metrics
Not enough data
9.3
5
Not enough data
9.3
5
Not enough data
9.3
5
Not enough data
9.3
5
Statistical Tool
9.0
5
Not enough data
8.0
5
Not enough data
9.3
5
Not enough data
Data Analysis
9.3
5
Not enough data
8.7
5
Not enough data
Decision Making
9.0
5
Not enough data
8.7
5
Not enough data
Not enough data
Not enough data
8.3
5
Not enough data
Generative AI
9.0
5
Not enough data
9.0
5
Not enough data
Marketing Operations
9.1
11
Not enough data
9.4
13
Not enough data
9.4
12
Not enough data
9.0
13
Not enough data
9.1
11
Not enough data
9.1
11
Not enough data
Campaign Activity
9.6
12
Not enough data
9.1
13
Not enough data
9.4
12
Not enough data
9.1
11
Not enough data
9.4
12
Not enough data
9.2
11
Not enough data
Agentic AI - Marketing Analytics
9.1
11
Not enough data
9.1
11
Not enough data
9.1
11
Not enough data
Categories
Categories
Shared Categories
Hurree and dataPARC are categorized as Data Visualization
Unique Categories
dataPARC is categorized as Manufacturing Intelligence, IoT Analytics Platforms, Time Series Databases, and Time Series Intelligence
Reviews
Reviewers' Company Size
Hurree
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
Computer Software
18.2%
Marketing and Advertising
14.5%
Education Management
7.3%
Information Technology and Services
7.3%
Construction
5.5%
Other
47.3%
Paper & Forest Products
65.8%
Manufacturing
10.5%
Oil & Energy
7.9%
Chemicals
5.3%
Renewables & Environment
2.6%
Other
7.9%
Discussions
Hurree has no 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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