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Tulip vs Voyage AI comparison

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Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Tulip
Ranking in AWS Marketplace
3rd
Average Rating
8.0
Number of Reviews
15
Ranking in other categories
No ranking in other categories
Voyage AI
Ranking in AWS Marketplace
39th
Average Rating
7.6
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2026, in the AWS Marketplace category, the mindshare of Tulip is 0.3%, down from 0.5% compared to the previous year. The mindshare of Voyage AI is 0.2%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AWS Marketplace Mindshare Distribution
ProductMindshare (%)
Tulip0.3%
Voyage AI0.2%
Other99.5%
AWS Marketplace
 

Featured Reviews

Prathamesh Kakde - PeerSpot reviewer
Associate Software Engineer at a manufacturing company with 10,001+ employees
Digital workflows have replaced paper on the shop floor and speed up regulated manufacturing
Definitely, AI in a regulated industry is something that is a concern of the clients. However, Tulip can stick to 21 CFR Part 11 strictly when it comes to Tulip's AI capabilities. Tulip has already started to look forward to compliance-related things. For example, Tulip's AI widget offers data reading throughout the site. It does not allow any AI to interact with external systems when we apply firewalls on it. In this regard, if Tulip continues in that way, they can definitely stick to the governance and security. As of now, I didn't face any issue related to their AI capabilities. It is working fine but not accurate, which is a red flag in a GXP regulated system. This is my feedback on their AI capabilities. This has been introduced into the latest LTS version and needs more hands-on experience. Before that, I cannot give a direct justification or feedback on their AI capabilities being reliable and accurate. However, at the extent that I have used them, they are accurate and reliable as of now. Tulip is an emerging platform and being a cloud-native MES, it has a lot to improve. According to me, traditional MES like FactoryTalk PharmaSuite has more complex features and user-oriented use cases and complexities that the application itself handles. However, when it comes to Tulip, all the things that matter are in the hands of a developer. That is something that Tulip can improve on. Tulip can switch to a traditional way of delivering in the pharmaceutical industry while keeping the cloud-native impact intact. One improvement that I can give an example of is that Tulip has application templates. Instead of templates, they can offer concrete applications to their pharmaceutical or any specific industrial client for their specific needs, such as a recipe designer and production management for a pharmaceutical client. Then production or material tracking or BOM tracking for a discrete client. In that way, I can see an improvement where Tulip can perform well.
Chirag Morajkar - PeerSpot reviewer
Lead Ai Tech And Tech Automation Engineer at a individual & family service with 11-50 employees
Automation workflows have transformed resume screening and document chat into accurate, low-cost flows
Improvement can be made in the documentation aspect, which definitely needs to be updated or enhanced. I felt this need while using Voyage AI. I recognize that it is still growing, which is acceptable for a user like me, but enhancing documentation would greatly help developers or technical personnel. One more improvement could be native integration. For example, when using Voyage AI through make.com, which is an automation platform I regularly use, integration is possible only through APIs. This requires more time for setup and handling configurations. If Voyage AI had a native integration with make.com, similar to how OpenAI's ChatGPT operates, it would streamline the onboarding process very effectively. Other improvements needed for Voyage AI include enhanced documentation, native integration, and potentially video tutorials for each model or feature that they add. Short videos could significantly aid developers who might be lost or unfamiliar with updates since staying up to speed can be challenging.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"This flexibility and ability to adjust things have led to measurable improvements in our projects, particularly in terms of time saved and user satisfaction."
"Implementing Tulip has positively impacted our organization as we have transitioned from paper MBR and EBR to Tulip's online MBR, significantly reducing the time operators spent manually documenting activities, which also made audit trials easier to manage."
"One of the best features that Tulip offers is having a bunch of connections with third-party tools such as ERPs and specific quality tools, just to have correct traceability of what is the concern about one client or something similar."
"Tulip is really about empowering people to build applications, and those people who build the applications are not necessarily only technical experts or developers."
"Tulip is a pre-configured tool where all fields and options are readily available on the Tulip platform, which impressed me when I evaluated it from a CSV perspective and development perspective."
"For projects that would take two to three days in other applications, Tulip allows us to complete them in one day."
"The best features Tulip offers include the fact that it is fairly easy to set up and allows you to connect things."
"Tulip has changed my life, as I started using it just for making some inventory, and now I'm moving forward to digitalize 100% of the facility."
"Voyage AI has improved time, manual efforts, and employee satisfaction, and for this type of use case, Voyage AI is the best option available because the time it takes for answering questions reduces, employees no longer need to raise many tickets for simple queries, and it provides an answer in a single question and a single click without waiting for HR to respond."
"The best feature Voyage AI offers is its text embedding, whose quality is very good and crucial, and I think Voyage AI has excelled in text understanding and contextual comprehension."
"I have significantly increased my outputs around 60-70%, making them much more accurate than before, and the context and semantic meaning have increased substantially."
 

Cons

"Regarding the needed improvements for Tulip, regarding integration that you mentioned, because you have a bunch of features of third-party connections, it is not enough."
"One way Tulip can be improved is that the biggest challenge is if you already know programming. Tulip is extremely hard to set up because it doesn't follow standard programming rules."
"Tulip can do a lot better in user interface."
"One area Tulip can be improved is addressing the issue that arises when multiple users use the same data tables for Tulip applications."
"Regarding Tulip's AI capabilities, I perceive that it is not yet mature and is still in the testing phase, with several features rolled out for end users."
"However, if you want a much larger version with better scalability and more UI features, you can consider other products."
"As of now, I didn't face any issue related to their AI capabilities. It is working fine but not accurate, which is a red flag in a GXP regulated system."
"Tulip can improve with better or closer support in developing the applications, especially when we as a pharmaceutical company would have our specific requirements and needs that are mandatory for our industry."
"I have not been frustrated with Voyage AI, but some enterprises will not share their data because they keep their data within their own infrastructure."
"Improvement can be made in the documentation aspect, which definitely needs to be updated or enhanced."
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Top Industries

By visitors reading reviews
Construction Company
20%
Healthcare Company
15%
Outsourcing Company
13%
Comms Service Provider
12%
Construction Company
45%
Comms Service Provider
8%
Outsourcing Company
7%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise2
Large Enterprise10
No data available
 

Questions from the Community

What needs improvement with Tulip?
Tulip can be improved by offering better design and better functionalities. While making the application workable is really good, we should also focus on being great and user-friendly. Tulip is alr...
What is your primary use case for Tulip?
My main use case for Tulip is to fill up all the data which will be available from backend for the use of a warehouse. In a warehouse environment, I use Tulip by recording all the data, which made ...
What advice do you have for others considering Tulip?
Regarding Tulip's AI capabilities, I believe its accuracy and reliability of output is good. Whatever data we provide from the data perspective is displayed, and whatever UI is created is there as ...
What is your experience regarding pricing and costs for Voyage AI?
My experience with costing information, overall it is good as for as now. We got free tokens around 200 million at start. we paid approximately $0.12 per million tokens depending on the model. It i...
What needs improvement with Voyage AI?
Voyage AI's SDK support is limited to Python and JavaScript, so teams using other languages need custom wrappers to integrate it. Rate limiting also feels outdated, requiring manual static wait per...
What is your primary use case for Voyage AI?
My main use case for Voyage AI is converting text into embeddings so that it can be searched efficiently. I can provide a specific example of how I use Voyage AI for text-to-embedding through Retri...
 

Comparisons

 

Overview

Find out what your peers are saying about Tulip vs. Voyage AI and other solutions. Updated: September 2026.
915,383 professionals have used our research since 2012.