No more typing reviews! Try our Samantha, our new voice AI agent.

Dify vs Elastic Cloud (Elasticsearch Service) comparison

 

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

Dify
Average Rating
8.6
Reviews Sentiment
6.1
Number of Reviews
6
Ranking in other categories
Low-Code Development Platforms (16th), AI Software Development (20th)
Elastic Cloud (Elasticsearc...
Average Rating
8.4
Number of Reviews
4
Ranking in other categories
Indexing and Search (11th)
 

Featured Reviews

Rusira Sathnindu - PeerSpot reviewer
Automation Engineer at a tech services company with 1-10 employees
Visual workflows have accelerated our agent POC while better UI and observability still need work
My personal experience with Dify's UI is that it is not my favorite, as it can be improved a little bit, and sometimes the UI feels a little bit buggy. I am not sure if that is because it was a self-hosted version. The documentation can also be improved a little bit more. I think not a lot of people are using Dify currently, so that is why the documentation is not very great. If the documentation was improved, that would also be a really good thing. Currently, Dify could improve by offering better observability like other platforms. We currently use OpenAI Agents SDK, which requires you to build everything by code, but the observability is really good. It has OpenAI Traces, and you can basically trace everything for a conversation. If Dify had that kind of tracing functionality, that would be great.
Mahir Selek - PeerSpot reviewer
Data Scientist at a educational organization with 5,001-10,000 employees
Chatbot has handled large PDF search workloads and provides clear dashboards for daily work
Because I am pursuing a PhD and work under the university, my university has an agreement with AWS, which makes it essentially free and easier to use. In the AWS ecosystem, everything is connected and I can control everything without uncertainty about what is happening behind the scenes. However, when using Elastic Cloud (Elasticsearch Service), I connected it to Google Cloud but I am paying separate receipts. Over the last two months in October and November, I paid two separate invoices that are not connected to Google Cloud, which I did not appreciate. Google Cloud has a nice interface that gives me full control of pricing and billing. I can see daily, weekly, and monthly breakdowns with bar charts, and I can track exactly how much I spent during any period. Elastic Cloud (Elasticsearch Service) does not have such a tool for billing visibility. Since I am handling significant amounts of money and am responsible for this task within my company, I have high expectations for pricing and billing transparency. I would appreciate the ability to set a spending limit, such as uploading 200 euros, and receive notifications when reaching 50% of that limit. These notifications could appear on the dashboard, in the application, or via email. It would be valuable to see a timeline of my spending. I would characterize the pricing as somewhat expensive. I did not use competitors extensively, so I may have a bias about this. The pricing of large language models is not expensive—I use Anthropic's Claude or Google's Gemini, which are state-of-the-art models. However, I am uncertain whether I have a bias about Elastic Cloud (Elasticsearch Service) pricing. It is not extraordinarily expensive, but when I compare it with the cost of using large language models or Google Cloud storage, it is quite expensive. A couple of days ago, the Elastic team reached out to me. We have been regularly using the service since April, and 10 days ago at the beginning of December, I deleted my hosted deployments because I did not like the idea of paying when I am not actively using Elastic Cloud (Elasticsearch Service). They informed me that there is a serverless option available. Before Christmas, I want to try it to see how it works, as I am uncertain about the serverless concept and whether it will provide the same functionality that I use with the hosted deployment.

Quotes from Members

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

Pros

"Since I have used Dify personally, I have noticed ways it has made my workflow and research easier, saving me time and helping me find answers more quickly."
"Dify has positively impacted the organization because accuracy has been improved, and the time and complexity in flows that were manual are now automated, from HR automation to ERP level transactions, including subscription management in the SaaS application, monitoring, and analytics."
"Using Dify has positively impacted our organization because we were able to cut down on some development time and do a lot of testing in a very small time period."
"I have been using Dify as a powerful tool for AI automation for more than 1.5 years, and I appreciate its model-agnostic approach that allows easily swapping AI models like OpenAI and Anthropic."
"With the AI-powered data analysis we built, we achieve cost savings since we do not need to hire a person specialized in data analysis."
"Considering the pricing, I would rate Dify a seven on a scale from one to ten, but for usability, use case, and feasibility, I would give it a ten, as it surpasses both Zapier and N8N."
"Using Dify has positively impacted our organization because we were able to cut down on some development time and do a lot of testing in a very small time period."
"Elastic Cloud (Elasticsearch Service) is a wonderful solution for seamless implementation and maintaining its health."
"There have been quite a lot of good outcomes since using Elastic Cloud (Elasticsearch Service); customers have been able to use their data much faster and more effectively, and it definitely stands as one of the best observability platforms."
"Elastic Cloud (Elasticsearch Service) has positively impacted my organization by allowing us to move away from expensive services such as DataDog and gives us about the same level of service while allowing us to keep data for a longer period of time at a cheaper price."
"Scalability is valuable to me, as I have 50,000 PDF JSON files that contain my metadata, and I am really glad to use Elastic Cloud (Elasticsearch Service) for this volume without any issues."
 

Cons

"Dify does not appear to handle larger workloads well regarding its scalability."
"One of the main concerns that we had is that it might not be very scalable because we are hosting it in a self-hosted environment, and we have to configure the architecture and everything."
"Dify is missing a few features which could be improved by polishing the website and creating a more attractive experience with motion graphics."
"One of the main concerns that we had is that it might not be very scalable because we are hosting it in a self-hosted environment, and we have to configure the architecture and everything."
"The only improvement would be if Dify provided an SMTP server that could be connected to automate Dify workflow management, as that would be a great option."
"Dify can be improved by adding features such as an end loop or exit loop capability, similar to options available in N8N and Zapier, to make workflow completion easier without needing to select additional outputs and understand complex steps, which can be time-consuming."
"I would characterize the pricing as somewhat expensive. It is not extraordinarily expensive, but when I compare it with the cost of using large language models or Google Cloud storage, it is quite expensive."
"Sometimes it gets tricky to navigate through the user manuals because there are different forms of links."
"Machine learning might be expensive for customers."
"The logging feature of Elastic Cloud (Elasticsearch Service) itself is pretty valuable, but we tried the observability module and some of the AI features. Those need improvement."
report
Use our free recommendation engine to learn which Low-Code Development Platforms solutions are best for your needs.
894,738 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Construction Company
22%
Computer Software Company
9%
Comms Service Provider
8%
Financial Services Firm
6%
Construction Company
26%
Computer Software Company
14%
Educational Organization
9%
Financial Services Firm
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Dify?
The experience with pricing is that it is quite reasonable, and the setup cost depends on our usage, so I do not have any complaints regarding this.
What needs improvement with Dify?
Adding more pre-built advanced templates, progressing from basic to advanced templates, will help new users onboard faster. People who are already using Dify can quickly pick the pre-built template...
What is your primary use case for Dify?
I am using Dify to automate some of my tasks, for example, sending emails to my clients, reaching out to new customers, and creating end-to-end automation for my clients. Recently, I helped one of ...
What needs improvement with Elastic Cloud (Elasticsearch Service)?
Machine learning might be expensive for customers. Customers take advantage of Elastic being open source, but machine learning is not available in the open source version. If a customer is using th...
What is your primary use case for Elastic Cloud (Elasticsearch Service)?
I developed a chatbot with text summarization and question answering capabilities. I need to summarize multiple PDFs, and I have a database in Google Cloud Storage where I perform keyword matching ...
What advice do you have for others considering Elastic Cloud (Elasticsearch Service)?
Some of my customers utilize Elastic Cloud (Elasticsearch Service), especially in the private sector, but most of the government sector do not use it. Elastic Cloud (Elasticsearch Service) performs...
 

Comparisons

 

Overview

Find out what your peers are saying about Microsoft, Mendix, Oracle and others in Low-Code Development Platforms. Updated: April 2026.
894,738 professionals have used our research since 2012.