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Elastic Search vs Tungsten RPA 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:
 

ROI

Sentiment score
3.8
Organizations using Elastic Search reported improved efficiency, faster performance, cost savings, and enhanced data management, emphasizing positive outcomes.
Sentiment score
7.7
Tungsten RPA cuts costs by 70%, reduces workforce needs, and boosts efficiency in aviation, government, and migration projects.
We have not purchased any licensed products, and our use of Elastic Search is purely open-source, contributing positively to our ROI.
Software Engineer at Government of India
It is stable, and we do not encounter critical issues like server downtime, which could result in data loss.
SOC A2 at Innodata-ISOGEN
The main benefits observed from using Elastic Search include improvements in operational efficiency, along with cost, time, and resource savings.
Senior Devops Engineer at Ubique Digital LTD
One of our customers said that one RPA robot could do three-person jobs, and they were able to reduce their workforce accordingly.
Strategic And Business Performance Manger at a tech services company with 51-200 employees
 

Customer Service

Sentiment score
6.3
Elastic Search customer service is praised for responsiveness and expertise, though some users note occasional slow responses.
Sentiment score
6.5
Tungsten RPA technical support is prompt and expert, but response times and availability vary based on complexity and contracts.
For P1 tickets, they provide very immediate quick responses and join calls to support and troubleshoot the issue accordingly.
Elastic Engineer at The Unique Identification Authority of India (UIDAI)
The customer support for Elastic Search is one of the best I have ever tried.
Software Developer at a media company with 10,001+ employees
They have always been really responsible and responsive to my requests.
Security Lead at a tech vendor with 501-1,000 employees
 

Scalability Issues

Sentiment score
7.2
Elastic Search is scalable and reliable for high-volume tasks, though some users face challenges with cost and complex data handling.
Sentiment score
6.9
Tungsten RPA offers scalable, adaptable solutions for all organizations, requiring setup time and structured deployment for success.
We can search through that document quite easily, sometimes in 7 milliseconds, sometimes one or two milliseconds.
Product Engineer at A3L
Performance tests involving one million requests at once, we encountered issues with shards and nodes not upscaling as needed, leading to crashes and minimal data loss.
Consultant at a tech vendor with 10,001+ employees
I would rate its scalability a ten.
Backend Developer
 

Stability Issues

Sentiment score
7.7
Elastic Search is reliable, especially under one terabyte, with occasional issues and challenges from frequent updates.
Sentiment score
7.7
Tungsten RPA is generally stable and reliable, though legacy integration issues and lack of insights tools present challenges.
The data transfer sometimes exceeded the bandwidth limits without proper notification, which caused issues.
SOC A2 at Innodata-ISOGEN
The stability of Elasticsearch was very high.
Backend Developer
When you put one keyword, everything related to that keyword in your ecosystem will showcase all the results.
Chief Information Security Officer at CDSL Ventures Limited
 

Room For Improvement

Users criticize Elastic Search for mapping conflicts, complex setup, high costs, and desire improved AI integration and better documentation.
Tungsten RPA requires better support, documentation, scalability, integration, intuitive interface, expanded browser support, and enhanced community and features.
From a technical point of view, there are no significant issues recalled as Elastic Search has been absolutely awesome for this use case and covers 100% of the needs.
Principal Scientific Computing Software Engineer at a educational organization with 1,001-5,000 employees
If I need to parse one million records saved into Elastic Search, it becomes a nightmare because I need to do the pagination, and it is very problematic in that regard.
Lead Engineer at Spidersilk
Observability features like search latency, indexing rate, and maybe rejected requests should be added to make the platform more reliable and accessible for everyone.
Senior System Engineer at EPAM Systems
The lack of a developer community in Tungsten RPA is a red flag for us and for customers.
Strategic And Business Performance Manger at a tech services company with 51-200 employees
 

Setup Cost

Elastic Search offers enterprise pricing based on nodes, with costs varying by features, support, and deployment options.
Tungsten RPA offers subscription pricing with varied costs, competitive yet more expensive than UiPath, plus a 10% annual support fee.
On the AWS side, it is very expensive because they charge based on query basis or how much data is transferred in and out, making it very expensive.
Lead Engineer at Spidersilk
Having the hosted solution and not having to pay for essentially a DevOps person on staff to manage makes it affordable.
CTO at a tech services company with 1-10 employees
You can host it on-premises, which would incur zero cost, or take it as a SaaS-based service, where the expenses remain minimal.
Senior Software Engineer at Agoda
 

Valuable Features

Elastic Search enhances data handling with advanced search features, scalability, AI integrations, and powerful visualization via Kibana.
Tungsten RPA excels in integration, security, and flexibility with highlights in email preservation, automation, and comprehensive technical support.
Elastic Search makes handling large data volumes efficient and supports complex search operations.
Software Engineer at Government of India
The most valuable feature of Elasticsearch was the quick search capability, allowing us to search by any criteria needed.
Backend Developer
The speed with which Elastic Search is able to search through all of the documents we place into it is quite remarkable, as we search through 65 billion documents in less than a second in most cases, on a constant consistent basis.
Director, Software Engineering at a tech vendor with 10,001+ employees
If you don't have a computer science background, you can easily use Tungsten RPA because this is a low-code platform and it is easier than other RPA tools.
Strategic And Business Performance Manger at a tech services company with 51-200 employees
 

Categories and Ranking

Elastic Search
Average Rating
8.2
Reviews Sentiment
6.5
Number of Reviews
96
Ranking in other categories
Indexing and Search (1st), Cloud Data Integration (5th), Search as a Service (1st), Vector Databases (2nd)
Tungsten RPA
Average Rating
7.4
Reviews Sentiment
6.9
Number of Reviews
27
Ranking in other categories
Robotic Process Automation (RPA) (10th)
 

Featured Reviews

reviewer2817942 - PeerSpot reviewer
Senior Software Engineer at a consultancy with 11-50 employees
Logging and vector search have transformed observability and empowered reliable ai agents
Elastic Search is not specifically being used for certain purposes. I deploy Elastic Search database on the cloud and use cloud services so that nobody can attack. However, I do not use Elastic Search to resolve attack issues. The basic main purpose of Elastic Search, as of now, I feel it can do more in the AI area. Sometime I saw that when I am developing RAG and have to generate the embeddings, which I call metadata, sometimes it tries to fail. That durability or issue handling should be improved, but apart from that, I did not find anything as of now. As per my use case, whatever I am using seems pretty good. Apart from that, some definitely improvement will be there. One improvement is that it should be faster. Whenever I am searching any logs, it takes much time. For example, if I open my log in Notepad or a similar tool, I can search the text within a second. With Elastic Search, it takes a little bit of time, ten to fifteen seconds. That can be improved. Sometimes, engineers take time to assign when I create a ticket.
Jamil Milhem - PeerSpot reviewer
Project Manager-Senior RPA Specialist at DEWA
Automates browsing tasks without needing a server connection
I have worked with Microsoft Power Platform and UiPath. Kofax RPA offers a comprehensive solution with built-in capabilities for executing tasks like running Excel files and web automation without additional servers. They provide their browsers and extensions. For functions such as OCR, image processing, and data extraction, Kofax has built-in features powered by their engine, eliminating the need for subscriptions to external technologies like Microsoft Cognitive Services or Google Search. One of Kofax RPA's strongest features is its on-premise solution, which is particularly beneficial for organizations operating in regions with data regulations, such as the UAE.
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Use our free recommendation engine to learn which Cloud Data Integration solutions are best for your needs.
894,738 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
12%
Computer Software Company
9%
Manufacturing Company
9%
Retailer
6%
Financial Services Firm
14%
Performing Arts
8%
Construction Company
8%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business39
Midsize Enterprise12
Large Enterprise47
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise1
Large Enterprise18
 

Questions from the Community

What is your experience regarding pricing and costs for ELK Elasticsearch?
When it comes to pricing, I think we had to pay AWS approximately 1,000 to 1,200 per month for the overall stack. I am not quite certain about how much Elastic Search costs specifically because I w...
What needs improvement with ELK Elasticsearch?
Elastic Search has many features, including Kibana and Logstash, which we regularly use. However, one downside in our product is cost, as it can be expensive when maintaining multiple shards and in...
What is your primary use case for ELK Elasticsearch?
As a developer, I use Elastic Search in developing one of my applications, basically integrating the back-end with Elastic Search. Our main use case for Elastic Search is for Logstash, which is a s...
What is your experience regarding pricing and costs for Kofax RPA?
I am not a user of Tungsten RPA; I sell this product for our company.
What needs improvement with Kofax RPA?
The negative side is that UiPath has a really large community on the RPA side, and Tungsten RPA doesn't have any community for the developer side, which is a red flag for us and for customers.
What is your primary use case for Kofax RPA?
Tungsten RPA reduces manual work, especially in financial services and HR solutions.
 

Comparisons

 

Also Known As

Elastic Enterprise Search, Swiftype, Elastic Cloud
Kofax RPA, Kofax Kapow, Kapow
 

Overview

 

Sample Customers

T-Mobile, Adobe, Booking.com, BMW, Telegraph Media Group, Cisco, Karbon, Deezer, NORBr, Labelbox, Fingerprint, Relativity, NHS Hospital, Met Office, Proximus, Go1, Mentat, Bluestone Analytics, Humanz, Hutch, Auchan, Sitecore, Linklaters, Socren, Infotrack, Pfizer, Engadget, Airbus, Grab, Vimeo, Ticketmaster, Asana, Twilio, Blizzard, Comcast, RWE and many others.
Aetna, BNP Paribas, Citi, Goldman Sachs, HSBC, ING, Aviva, Humana, Willis, Merck, University Hospitals, CardinalHealth, American Red Cross, Alegri, Capita
Find out what your peers are saying about Elastic Search vs. Tungsten RPA and other solutions. Updated: April 2026.
894,738 professionals have used our research since 2012.