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Compare Integrate.io and Monte Carlo 
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At a Glance
Market Segments
Mid-Market (51.0% of reviews)
Enterprise (51.1% of reviews)
Entry-Level Pricing
No pricing available
Contact Us
Integrate.io
Star Rating
(208)4.3 out of 5
Market Segments
Mid-Market (51.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Integrate.ioMonte Carlo
Star Rating
(459)4.4 out of 5
Market Segments
Enterprise (51.1% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Integrate.io excels in its real-time analytics capabilities, scoring 8.6, which allows for immediate insights into data flows. In contrast, Monte Carlo's score of 7.4 in this area suggests it may not provide the same level of immediacy in data analysis.
- Reviewers mention that Integrate.io's automation features are robust, with a score of 9.1, making it easier for teams to streamline their workflows. Monte Carlo, while also strong at 8.2, may not offer the same depth of automation options.
- G2 users highlight that Monte Carlo shines in data quality monitoring, achieving a score of 8.9, which is higher than Integrate.io's 8.1. This indicates that Monte Carlo may provide more comprehensive tools for ensuring data integrity.
- Users on G2 report that Integrate.io's API integrations are somewhat limited, scoring 6.9, which could hinder users looking for extensive connectivity options. Monte Carlo, with a score of 8.2, appears to offer better integration capabilities.
- Reviewers mention that both products have strong quality of support, with Integrate.io scoring 9.2 and Monte Carlo slightly higher at 9.3. This suggests that users can expect responsive and helpful customer service from both platforms.
- Users say that while both platforms offer data mapping features, Integrate.io scores an impressive 9.5, indicating a more user-friendly and effective approach to data mapping compared to Monte Carlo's score of 8.8.
Pricing
Entry-Level Pricing
Integrate.io
No pricing availableMonte Carlo
Start
Contact Us
All you need to make data reliable for one team
- Monitoring for Data Warehouse, Business Intelligence, ETL
- Incident triaging, troubleshooting and root cause analysis
- Lineage
Free Trial
Integrate.io
Free Trial is available
Monte Carlo
No trial information availableRatings
Meets Requirements
8.4
182
8.3
427
Ease of Use
8.3
183
8.2
434
Ease of Setup
8.7
104
8.2
300
Ease of Admin
8.7
96
8.5
159
Quality of Support
9.3
180
9.0
384
Has the product been a good partner in doing business?
9.2
95
9.3
161
Product Direction (% positive)
8.0
177
8.9
423
Features by Category
Functionality
Not enough data
9.0
257
Not enough data
8.8
258
Not enough data
7.8
235
Not enough data
8.3
244
Not enough data
7.7
239
Not enough data
7.4
241
Agentic AI - Database Monitoring
Not enough data
7.1
13
Not enough data
6.9
13
Not enough data
6.9
13
Not enough data
7.1
13
Not enough data
6.8
12
Not enough data
6.5
13
Not enough data
7.1
13
Management
7.9
50
Not enough data
7.8
48
Not enough data
Functionality
8.9
64
Not enough data
8.8
64
Not enough data
8.9
66
Not enough data
9.1
64
Not enough data
8.3
61
Not enough data
Management
8.7
22
Not enough data
9.3
23
Not enough data
8.9
24
Not enough data
9.0
21
Not enough data
Solution Provision
8.9
20
Not enough data
8.3
20
Not enough data
9.3
19
Not enough data
Development
8.1
7
Not enough data
8.9
6
|
Verified
Not enough data
9.4
6
|
Verified
Not enough data
9.4
6
|
Verified
Not enough data
7.8
6
|
Verified
Not enough data
10.0
5
Not enough data
8.7
5
Not enough data
Management
8.3
6
|
Verified
Not enough data
8.3
6
|
Verified
Not enough data
9.5
7
|
Verified
Not enough data
8.9
6
|
Verified
Not enough data
8.8
7
Not enough data
Security
8.1
6
|
Verified
Not enough data
9.2
6
|
Verified
Not enough data
9.0
5
|
Verified
Not enough data
Integration Options
7.3
5
|
Verified
Not enough data
9.0
5
|
Verified
Not enough data
9.3
5
|
Verified
Not enough data
9.7
5
|
Verified
Not enough data
Deployment
7.7
5
Not enough data
8.8
7
Not enough data
Development
8.9
20
Not enough data
7.7
18
Not enough data
Management
8.4
17
Not enough data
8.8
18
Not enough data
Integration Options
8.3
16
Not enough data
7.7
13
Not enough data
8.7
18
Not enough data
7.9
11
Not enough data
Data Management
Not enough data
8.5
49
Not enough data
8.5
45
Not enough data
8.6
49
Not enough data
7.9
47
Agentic AI - DataOps Platforms
Not enough data
7.2
6
Not enough data
6.0
5
Not enough data
6.3
5
Not enough data
6.3
5
Not enough data
6.3
5
Analytics
Not enough data
7.8
48
Not enough data
7.7
46
Monitoring and Management
Not enough data
9.2
53
Not enough data
7.6
46
Cloud Deployment
Not enough data
7.4
42
Not enough data
7.0
40
Generative AI
Not enough data
6.2
33
Not enough data
6.1
33
Data Management
7.8
10
Not enough data
7.5
8
Not enough data
7.8
10
Not enough data
9.0
10
Not enough data
8.0
9
Not enough data
Functionality
6.8
11
Not enough data
8.2
11
Not enough data
7.4
11
Not enough data
7.6
9
Not enough data
8.7
9
Not enough data
8.0
10
Not enough data
8.1
8
Not enough data
Security
8.5
9
Not enough data
8.1
9
Not enough data
Generative AI
Not enough data
Not enough data
Functionality
8.3
6
7.3
287
8.1
6
8.8
317
8.1
7
8.1
291
7.8
6
8.0
295
Management
8.6
6
8.7
313
8.3
6
7.8
283
7.8
6
8.3
305
8.3
6
8.0
301
8.6
6
8.1
305
Generative AI
Not enough data
5.8
227
Agentic AI - Data Observability
Not enough data
6.1
27
Not enough data
6.2
27
Not enough data
6.7
27
Not enough data
6.4
26
Not enough data
6.7
29
Management
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
Reporting
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
8.1
184
Not enough data
6.4
171
Not enough data
6.6
166
Not enough data
6.0
161
Not enough data
6.4
162
Management
Not enough data
7.2
167
Not enough data
7.5
167
Not enough data
7.9
165
Not enough data
7.4
172
Not enough data
7.5
167
Generative AI
Not enough data
5.2
142
Not enough data
5.3
142
Categories
Categories
Shared Categories
Integrate.io and Monte Carlo are categorized as Data Observability
Unique Categories
Integrate.io is categorized as Reverse ETL, Data Replication, Big Data Integration Platforms, E-Commerce Data Integration, iPaaS, and ETL Tools
Reviews
Reviewers' Company Size
Integrate.io
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Monte Carlo
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
Information Technology and Services
17.0%
Computer Software
12.6%
Marketing and Advertising
7.8%
Internet
5.3%
Financial Services
3.9%
Other
53.4%
Financial Services
14.3%
Information Technology and Services
10.9%
Computer Software
10.7%
Marketing and Advertising
3.8%
Manufacturing
3.6%
Other
56.7%
Discussions
Who uses Xplenty?
2 Comments
JC
We use Xplenty as a Private Equity firm to run dashboards across all our companies via Google Data Studio. Works great to quickly orientate to each business...Read more
Is my data private and safe in Xplenty?
1 Comment
Official Response from Integrate.io
Absolutely. At Xplenty, safety is our number one priority. That’s why we have SSL/TLS data encryption, physical security, firewalls, and more to ensure that...Read more
What if the data source that I’m looking for isn’t available?
1 Comment
Official Response from Integrate.io
If you don’t see the data source that you’re looking for in our integration pages, let us know and we will create it for you.Read more
What is Monte Carlo software?
1 Comment
MV
Monte Carlo is a fully automated, end-to-end data observability platform that helps data engineering teams reduce time to detection and resolution for data...Read more
Monte Carlo has no more discussions with answers
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