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Elastic Search vs TIBCO Spotfire 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
5.0
Elastic Search users report cost savings, increased efficiency, and faster market times, with open-source adoption boosting returns.
Sentiment score
6.2
TIBCO Spotfire delivers high ROI with quick data analysis, enhanced insights, and effective integration despite its significant cost.
We have not purchased any licensed products, and our use of Elastic Search is purely open-source, contributing positively to our ROI.
It is stable, and we do not encounter critical issues like server downtime, which could result in data loss.
The main benefits observed from using Elastic Search include improvements in operational efficiency, along with cost, time, and resource savings.
 

Customer Service

Sentiment score
6.3
Elastic Search's support is praised for knowledge but criticized for slow responses; users often rely on community forums.
Sentiment score
7.0
TIBCO Spotfire customer service is praised for responsiveness and knowledge, with ratings ranging from 7 to 9 out of 10.
The customer support for Elastic Search is one of the best I have ever tried.
They have always been really responsible and responsive to my requests.
I would rate technical support from Elastic Search as three out of ten.
Having a local partner was crucial for us while they were there.
TIBCO's support, especially for integration products, is swift.
 

Scalability Issues

Sentiment score
7.2
Elastic Search is praised for efficient horizontal scalability, though some users face challenges with scaling large datasets and infrastructure.
Sentiment score
7.1
TIBCO Spotfire offers strong scalability, supporting large datasets and real-time processing, though setup and updates may pose challenges.
I would rate its scalability a ten.
Since we're on the cloud, whenever we need to upgrade or add resources, they handle everything.
We haven't encountered any problems so far, and there is the potential for auto-scaling.
 

Stability Issues

Sentiment score
7.7
Elastic Search is highly stable and reliable, scoring 8-10/10, with issues often due to configuration or usage errors.
Sentiment score
6.4
TIBCO Spotfire is reliable but may face stability issues with complex tasks, dataset size, and improper real-time data integration.
The data transfer sometimes exceeded the bandwidth limits without proper notification, which caused issues.
The stability of Elasticsearch was very high.
When you put one keyword, everything related to that keyword in your ecosystem will showcase all the results.
There are no significant stability issues as long as the product's capabilities are understood and not overly pushed.
 

Room For Improvement

Elastic Search faces challenges with security, integration, scalability, and usability, needing improvements in support, stability, and data handling.
TIBCO Spotfire struggles with customization, user-friendliness, data integration, and requires enhancements in training, support, and mobile functionality.
This can create problems for new developers because they have to quickly switch to another version.
It is primarily based on Unix or Linux-based operating systems and cannot be easily configured in Windows systems.
The consistency and stability of Elasticsearch are commendable, and they should keep up the good work.
TIBCO Spotfire and ClickView need improvement in scheduling, which is critical yet lacking in quality.
It could be very useful if the coding part of using the platform could be more user-friendly in terms of visual capability.
 

Setup Cost

Elastic Search is attractive for its open-source foundation but can become costly with enterprise features and scalability needs.
TIBCO Spotfire's pricing is high yet competitive, offering value with comprehensive features despite challenges in transparency and negotiation.
We used the open-source version of Elasticsearch, which was free.
Elastic pushes clients to buy the Enterprise edition instead of the Premium edition, and we don't see the value in that other than to spend more money more quickly.
The pay-as-you-go model is advantageous for the organization, as we only pay for what we utilize.
TIBCO Spotfire's pricing is high, particularly in traditional markets like Turkey, impacting market penetration.
 

Valuable Features

Elastic Search excels in scalability and speed, with features like data indexing, visualization, and strong community support enhancing its appeal.
TIBCO Spotfire excels in interactive visualizations, real-time analytics, and seamless integration, praised for handling large datasets efficiently.
Elastic Search makes handling large data volumes efficient and supports complex search operations.
The most valuable feature of Elasticsearch was the quick search capability, allowing us to search by any criteria needed.
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.
TIBCO Spotfire integrates with R and Python, offering a differentiator from the competition.
I think having Python included is a big win because you get the chance to customize your algorithm and your in-house development without having a big dependency on a third party.
 

Categories and Ranking

Elastic Search
Average Rating
8.2
Reviews Sentiment
6.6
Number of Reviews
78
Ranking in other categories
Indexing and Search (1st), Cloud Data Integration (9th), Search as a Service (1st), Vector Databases (3rd)
TIBCO Spotfire
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
71
Ranking in other categories
BI (Business Intelligence) Tools (14th)
 

Featured Reviews

Chandrakant Bharadwaj - PeerSpot reviewer
Boosted search efficiency through real-time querying and seamless indexing for high-volume product data
We are using AWS for our solutions. In AWS, we are heavily using Redshift and Glue. We focus more on vector searches and boosting the keywords, and all those features we are using heavily. In search, the key parameter that we boost up during indexing is essential. We self-implement Elastic Search in our e-commerce application. We are not currently doing a regex setup for RAG Playground, but there is a plan to do that. We are more into vector searches when it comes to how effectively the hybrid search capability meets our needs for combining traditional keyword and vector searches. Regarding the workflow, we are using the API for real-time inference because lots of data is being loaded at real-time on the application, and it is working well for us. I can definitely recommend Elastic Search to be used wherever you have consumer search capabilities needed in a large or scalable manner because it is very effective. I would rate Elastic Search an eight out of ten.
Jacobo Ortiz Avila - PeerSpot reviewer
Has improved data handling and customization but requires more intuitive visual design for workflows
It was kind of tough to have the visualizations with HTML, or you have to create your own page. But it was working great with buttons and every page updated pretty fast with the server capability, and it was handling a big amount of data, maybe five years of data. It was performing quite well, taking maybe three minutes to update the whole model. It has been good, but most recently, they changed the commercial methodology to get the license. Our política in the company is to hire or get licenses year by year, but most recently, TIBCO Spotfire asked us to have a three-year license term. That made things a little bit tougher for the commercial relationship. Maybe with all these automation processes that you have, those could be more visually friendly. N8N is a good example where you could connect some platforms, and you don't have to code strictly, but you could visually create an algorithm. That capability of clicking and dragging some boxes of code could actually facilitate how people create their own algorithms. It could be very useful if the coding part of using the platform could be more user-friendly in terms of visual capability.
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Top Industries

By visitors reading reviews
Computer Software Company
14%
Financial Services Firm
13%
Manufacturing Company
8%
Government
8%
Manufacturing Company
18%
Financial Services Firm
9%
Computer Software Company
8%
Energy/Utilities Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business33
Midsize Enterprise9
Large Enterprise38
By reviewers
Company SizeCount
Small Business18
Midsize Enterprise12
Large Enterprise39
 

Questions from the Community

What do you like most about ELK Elasticsearch?
Logsign provides us with the capability to execute multiple queries according to our requirements. The indexing is very high, making it effective for storing and retrieving logs. The real-time anal...
What is your experience regarding pricing and costs for ELK Elasticsearch?
My experience with pricing, setup cost, and licensing for Elastic Search is overall fairly straightforward.
What needs improvement with ELK Elasticsearch?
We could benefit from refining the machine learning models that we currently use in Elastic Search, along with the possibility to integrate agents, intelligent artificial intelligence, form of agen...
What do you like most about TIBCO Spotfire?
TIBCO Spotfire is easy to use. We initiated Spotfire as POC, with support from a tech team based in South Africa. While they assisted with the setup, we conducted the POC ourselves.
What is your experience regarding pricing and costs for TIBCO Spotfire?
TIBCO Spotfire's pricing is high, particularly in traditional markets like Turkey, impacting market penetration. There is a lack of local support and distributors, making it challenging to sell.
What needs improvement with TIBCO Spotfire?
It was kind of tough to have the visualizations with HTML, or you have to create your own page. But it was working great with buttons and every page updated pretty fast with the server capability, ...
 

Comparisons

 

Also Known As

Elastic Enterprise Search, Swiftype, Elastic Cloud
Spotfire
 

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.
Allergan, ASSS de Montreal, Avantium, Blue River, Bank of Montreal, Citibank, FrieslandCampina, Hellmann Logistics, Merck, Novartis
Find out what your peers are saying about Elastic Search vs. TIBCO Spotfire and other solutions. Updated: September 2025.
871,469 professionals have used our research since 2012.