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Elastic Search vs Matillion Data Productivity Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 6, 2025

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
6.4
Elastic Search offers high ROI, efficiency, and cost-effectiveness, with significant time-saving and security benefits despite some licensing costs.
Sentiment score
7.3
Matillion Data Productivity Cloud boosts ROI within a year by reducing costs and enhancing efficiency with Snowflake integration.
The main benefits observed from using Elastic Search include improvements in operational efficiency, along with cost, time, and resource savings.
It is stable, and we do not encounter critical issues like server downtime, which could result in data loss.
We have not purchased any licensed products, and our use of Elastic Search is purely open-source, contributing positively to our ROI.
Consequently, we adjusted our processes to use Matillion Data Productivity Cloud only for extraction and ingestion, while Snowflake handled all transformations and jobs.
 

Customer Service

Sentiment score
6.5
Elastic Search's customer service is praised for responsiveness and knowledge, but complex issue support may require improvement.
Sentiment score
7.6
Matillion Data Productivity Cloud offers excellent, responsive support with comprehensive resources, exceeding user expectations through proactive engagement.
I would rate technical support from Elastic Search as three out of ten.
They communicate effectively and respond quickly to all inquiries.
 

Scalability Issues

Sentiment score
7.3
Elastic Search is scalable and integrates well, but challenges exist with large datasets and disaster recovery under rapid scaling.
Sentiment score
7.6
Matillion Data Productivity Cloud is highly scalable, leveraging cloud environments for efficient processing with recent improvements enhancing flexibility and compatibility.
I would rate its scalability a ten.
I can actually add more storage and memory because I host it in the cloud.
I would rate the scalability of Elasticsearch as an eight.
The autoscale process works well, allowing the system to start another node automatically if the first machine reaches 80% capacity.
 

Stability Issues

Sentiment score
7.7
Elastic Search is stable and reliable, though version updates and data management can affect performance under stress.
Sentiment score
7.8
Matillion Data Productivity Cloud is stable and reliable, rated highly by users, with responsive support and minor issues resolved.
It was consistent and reliable in our usage.
The data transfer sometimes exceeded the bandwidth limits without proper notification, which caused issues.
 

Room For Improvement

Elastic Search needs improvements in security, scalability, usability, stability, integration, support, and enhanced features for a better user experience.
Matillion Data Productivity Cloud requires enhanced API updates, integration, customization, real-time capture, user documentation, UI management, and processing efficiency.
The consistency and stability of Elasticsearch are commendable, and they should keep up the good work.
The architecture of Elastic Search could be improved as it is complicated for most general users to build up the environment and maintain the cluster.
This can create problems for new developers because they have to quickly switch to another version.
Connections to BigQuery for extracting information are complex.
 

Setup Cost

Elastic Search's free open-source version can incur back-end costs for advanced features, expertise, and premium support.
Matillion Data Productivity Cloud offers flexible pricing on AWS, with competitive rates and potential savings through strategic management and discounts.
We used the open-source version of Elasticsearch, which was free.
Matillion Data Productivity Cloud offers discounts and special deals, especially when dealing with high-volume clients or fewer existing clients in specific regions, like Spain.
 

Valuable Features

Elastic Search is valued for scalability, fast indexing, powerful analysis, security features, cloud readiness, and strong community support.
Matillion Data Productivity Cloud enhances ETL efficiency with seamless AWS integration, user-friendly UI, and automatic scalability for comprehensive data management.
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.
I appreciate the indexing capabilities and the speed of indexing in their product, which demonstrates how quickly logs are collected and stored.
Matillion Data Productivity Cloud is effective for ingest functions, particularly when moving information to Snowflake and performing many transformations.
 

Categories and Ranking

Elastic Search
Ranking in Cloud Data Integration
9th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
71
Ranking in other categories
Indexing and Search (1st), Search as a Service (1st), Vector Databases (3rd)
Matillion Data Productivity...
Ranking in Cloud Data Integration
8th
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
27
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of July 2025, in the Cloud Data Integration category, the mindshare of Elastic Search is 2.1%, up from 0.6% compared to the previous year. The mindshare of Matillion Data Productivity Cloud is 3.4%, down from 4.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Integration
 

Featured Reviews

Anand_Kumar - PeerSpot reviewer
Captures data from all other sources and becomes a MOM aka monitoring of monitors
Scalability and ROI are the areas they have to improve. Their license terms are based on the number of cores. If you increase the number of cores, it becomes very difficult to manage at a large scale. For example, if I have a $3 million project, I won't sell it because if we're dealing with a 10 TB or 50 TB system, there are a lot of systems and applications to monitor, and I have to make an MOM (Mean of Max) for everything. This is because of the cost impact. Also, when you have horizontal scaling, it's like a multi-story building with only one elevator. You have to run around, and it's not efficient. Even the smallest task becomes difficult. That's the problem with horizontal scaling. They need to improve this because if they increase the cores and adjust the licensing accordingly, it would make more sense.
Tomáš Hronek - PeerSpot reviewer
Used for wrangling or transforming data from sources like S3 and Databricks
I use Matillion ETL for wrangling or transforming data from sources like S3 and Databricks The most valuable feature of Matillion ETL is the UI experience in which you can drag and drop most of the transformation. Sometimes, we have issues with the solution's stability and need to restart it for…
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Top Industries

By visitors reading reviews
Computer Software Company
15%
Financial Services Firm
14%
Manufacturing Company
9%
Government
9%
Financial Services Firm
20%
Computer Software Company
15%
Manufacturing Company
9%
Energy/Utilities Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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?
We used the open-source version of Elasticsearch, which was free.
What needs improvement with ELK Elasticsearch?
It would be useful if a feature for renaming indices could be added without affecting the performance of other features. However, overall, the consistency and stability of Elasticsearch are already...
What do you like most about Matillion ETL?
The new version with the Productivity Cloud is very simple. It's easy to use, navigate, and understand.
What is your experience regarding pricing and costs for Matillion ETL?
While pricing can be an issue compared to other solutions, Matillion Data Productivity Cloud offers discounts and special deals, especially when dealing with high-volume clients or fewer existing c...
What needs improvement with Matillion ETL?
There are problems with GCP connectivity. Specifically, connections to BigQuery for extracting information are complex, and the optimization of the extraction process requires improvements. I raise...
 

Also Known As

Elastic Enterprise Search, Swiftype, Elastic Cloud
Matillion ETL for Redshift, Matillion ETL for Snowflake, Matillion ETL for BigQuery
 

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.
Thrive Market, MarketBot, PWC, Axtria, Field Nation, GE, Superdry, Quantcast, Lightbox, EDF Energy, Finn Air, IPRO, Twist, Penn National Gaming Inc
Find out what your peers are saying about Elastic Search vs. Matillion Data Productivity Cloud and other solutions. Updated: July 2025.
862,077 professionals have used our research since 2012.