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Featured Temporal reviews

Temporal mindshare

As of November 2025, the mindshare of Temporal in the Process Automation category stands at 7.2%, up from 2.6% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Process Automation Market Share Distribution
ProductMarket Share (%)
Temporal7.2%
Camunda21.8%
Pega Platform6.2%
Other64.8%
Process Automation

PeerResearch reports based on Temporal reviews

TypeTitleDate
CategoryProcess AutomationNov 1, 2025Download
ProductReviews, tips, and advice from real usersNov 1, 2025Download
ComparisonTemporal vs CamundaNov 1, 2025Download
ComparisonTemporal vs Control-MNov 1, 2025Download
ComparisonTemporal vs Pega PlatformNov 1, 2025Download
Suggested products
TitleRatingMindshareRecommending
Camunda4.121.8%89%78 interviewsAdd to research
Control-M4.34.6%98%138 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

Room for Improvement

ROI

Pricing

Popular Use Cases

Service and Support

Deployment

Scalability

Stability

Review data by company size

By reviewers
Company SizeCount
Small Business7
Midsize Enterprise4
Large Enterprise6
By reviewers
By visitors reading reviews
Company SizeCount
Small Business107
Midsize Enterprise52
Large Enterprise301
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
29%
Computer Software Company
14%
Retailer
7%
Manufacturing Company
6%
Government
4%
Insurance Company
4%
Media Company
4%
Comms Service Provider
3%
Healthcare Company
3%
Performing Arts
3%
Real Estate/Law Firm
3%
University
3%
Logistics Company
2%
Outsourcing Company
2%
Non Profit
2%
Educational Organization
1%
Construction Company
1%
Hospitality Company
1%
Recreational Facilities/Services Company
1%
Wholesaler/Distributor
1%
Legal Firm
1%
Aerospace/Defense Firm
1%
Pharma/Biotech Company
1%
Energy/Utilities Company
1%
Sports Company
1%

Compare Temporal with alternative products

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Temporal Reviews Summary
Author infoRatingReview Summary
Founder & CEO at Lanzar4.0We've used Temporal for eight months to automate financial and supply chain workflows, finding it scalable, cost-effective, and stable, though its UI lacks. It's saved us time and significant costs, despite a learning curve for junior developers.
Backend Software Engineer at Fortics5.0I use Temporal to manage WhatsApp API messages, appreciating its retry system and availability. It efficiently handles microservice crashes. While scalability sometimes falters with complex workflows, switching to Cassandra improved it. Overall, it's cost-effective and worth the investment.
Software Engineer at KONSTANTA PLUS, d.o.o4.5I am developing a SaaS platform with Temporal, valuing its durable execution and observability features. Though initially complex, especially with .NET workflows, Temporal simplifies retries and debugging, but could improve .NET support for adding workers and clients.
Software Engineer (Backend) at One4.0We use Temporal for scheduling and event-triggering workflows, valuing its fault tolerance and monitoring features. Despite needing improvements in event tracking, it's superior to previous solutions like Airflow due to its flexibility and support for complex business logic.
Software Developer at Groww4.5We use Temporal for managing long-running workflows, like callbacks received after a day or two. It handles continuous processes efficiently, although we experience issues with Temporal's versions and databases, especially older versions causing workflow terminations with Astra DB.
Senior Software Engineer at LuftBlick OG5.0We use Temporal to manage a complex data pipeline for our virtual operating system, valuing its ability to simplify workflows and enhance resilience. While the learning curve is steep, it offers better fault tolerance than previous tools like Airflow and DAXTER.
Senior Software Engineer at A.P. Moller - Maersk4.0As part of MoCS's platform engineering team, we found Temporal ideal for orchestrating workflows and managing API deployments. While it excels in handling complex workflows, it needs better visualization tools and improved documentation to reduce its steep learning curve.
Senior Data Engineer at Ernst & Young3.5I use Temporal to create data pipelines and appreciate its retry feature for handling long-running jobs. However, the lack of educational resources like YouTube videos makes it challenging when troubleshooting issues, as it's relatively new in the market.