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Logikcull vs Matillion Data Productivity Cloud 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

Logikcull
Ranking in AI Data Analysis
394th
Average Rating
7.6
Number of Reviews
2
Ranking in other categories
eDiscovery (15th), Investigation Management Software (1st), AI Legal & Compliance (147th)
Matillion Data Productivity...
Ranking in AI Data Analysis
21st
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
28
Ranking in other categories
Cloud Data Integration (11th)
 

Featured Reviews

VS
Senior Paralegal at Wilenchik & Bartness Law Office
Powerfully simple legal software for processing, reviewing, and producing data
First of all, uploading the documents is super easy. You just throw it in a zip, and unless it's a PST, then you can throw it in directly. The process of tagging, and searching. It's got a greatly intuitive, advanced search mechanism. The best part of all is just the downloading of the actual Bates stamped documents, and then sharing them with other people. Then you can see when the other party has accessed it. So if they say, "I never got it." Then you can say, "Yeah, you did here. Here, you accessed it on this day at this time. So you did." It's like a date and time stamp. The dashboards are gorgeous. They have helped me through so many possibilities — I could talk all day about Logikcull. When you're getting ready to produce, it will say "You have things that are marked privileged." Or "You have things that are potentially privileged." What Logikcull does is gather as many email addresses for law firms in the world as possible. They will gather those email addresses, and then if there are any of those email addresses that come up, they will say, "These are potentially privileged. You might want to look at them before you produce them." They've got a good quality control mechanism within the program too. Eclipse SE doesn't because it's server-based, so you have to do quality control on your own. There's this built-in "Wait a minute. Don't produce, look at this first, before you do the production." It has really saved me a couple of times.
Jitendra Jena - PeerSpot reviewer
Director Axtria - Ingenious Insights! at Axtria - Ingenious Insights
Easy integration and workflow proposals streamline processes
The predefined connectors eliminate the need to write code for connectivity. If you have a predefined connector, it is easy to use with plug and play functionality. The processing time and ease of use are significant benefits. As everyone is moving into AI integration, it will definitely help. When creating workflows, they can propose solutions directly.

Quotes from Members

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

Pros

"Uploading the documents is super easy. You just throw it in a zip, and unless it's a PST, then you can throw it in directly."
"Logikcull has been a huge time saver."
"The most valuable feature which I found was that it was very user-friendly. It's a very new age-friendly tech for uploading the data into the software. It also has a wonderful representation of data in terms of dashboards and pivot charts where you get your data represented in various angles and projections."
"The most valuable feature which I found was that it was very user-friendly."
"It is an incredibly user-friendly and intuitive tool, making the learning curve quite smooth"
"Matillion ETL helps manage data movement, ingestion, and transformation through pipelines."
"Matillion ETL is one hundred percent stable."
"The tool's middle-dimensional structure significantly simplifies obtaining the right data at the appropriate level. This feature makes deploying our applications easier since we utilize a single source without publishing data from various sources."
"The product is quite stable and can handle complex data integration tasks well."
"The product has a good user interface."
"I would recommend Matillion ETL for any cloud-based operations."
"It has enabled building a data warehouse within three months from the ground up to support WMS reporting."
 

Cons

"It would be better if they could include a technology-assisted review feature, which brings artificial intelligence into the cloud and the system itself. It would be great savings in terms of time and costs as you won't have a person manually going into a dense asset of documents and doing it."
"If you have extensive litigation projects involving many clients, you might want to go for the standard tools like Relativity."
"The guys over at Logikcull will do everything possible to avoid a screen-share — they do everything via text."
"There are problems with GCP connectivity. Specifically, connections to BigQuery for extracting information are complex, and the optimization of the extraction process requires improvements."
"Our main challenge currently is that Matillion runs on an EC2 instance, limiting us to running only two processes simultaneously at the entry level."
"There are certain functions that are available in other ETL tools which are still not present in Matillion ETL. It would be good to have more features."
"The product must enhance its near-real-time data capture feature."
"Matillion’s on-premises capabilities don’t allow you to build something customized."
"It is not an end-to-end platform for ETL. To complete the pipeline, they might want to include some connectors which would put the data into different platforms."
"Ideally, I would like it to integrate with Secrets Manager as well as the AWS."
"The cost of the solution is high and could be reduced."
 

Pricing and Cost Advice

"The cost depends on the case size of the data and the number of projects they're expecting to encounter. If it's small to medium-sized, this tool will be very good because it has a pay-as-you-go feature instead of an hourly billing rate, where they bill you every hour, and you have to go through the structure from beginning to end."
"Logikcull is very expensive. I wish it were less expensive."
"Its price depends on what you expect. You pay on a monthly basis, but there is a possibility to have special contracts depending on the installation."
"Matillion ETL is expensive."
"The absence of licensing commitments makes it easy to experiment with the tool, and if we decide it's not suitable, we can simply stop the ETL instance and cease incurring charges."
"The AWS pricing and licensing are a cost-effective solution for data integration needs."
"It was very easy to purchase through the AWS Marketplace, but it was also expensive."
"A rough estimation of the cost is around 20,000 dollars a month, however, this is dependent on the machine used and how Matillion ETL is used."
"Purchasing it through the AWS Marketplace is pretty convenient. There is a little bit of back and forth in terms of the licensing based on the machine size, but it seems to have worked out well. it is convenient to have it all as part of our AWS billing."
"The product must improve its pricing."
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Top Industries

By visitors reading reviews
University
22%
Construction Company
16%
Government
10%
Legal Firm
8%
Financial Services Firm
12%
Computer Software Company
10%
Manufacturing Company
8%
Construction Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise10
Large Enterprise11
 

Questions from the Community

Ask a question
Earn 20 points
What is your experience regarding pricing and costs for Matillion ETL?
The pricing is managed by the tooling team. The pricing is moderate, neither expensive nor cheap.
What needs improvement with Matillion ETL?
The main areas for improvement are AI features and scalability.
What is your primary use case for Matillion ETL?
For the ETL, we are using Matillion Data Productivity Cloud. We have skilled resources for Matillion Data Productivity Cloud, which is why we are using it. The infrastructure is provided by the cus...
 

Also Known As

No data available
Matillion ETL for Redshift, Matillion ETL for Snowflake, Matillion ETL for BigQuery
 

Overview

 

Sample Customers

Williams, Veolia, Salesforce, NYC, The Sierra Club Foundation, Unisys, Zenefits, Airgas, Haynes Boones, Earth Justice
Thrive Market, MarketBot, PWC, Axtria, Field Nation, GE, Superdry, Quantcast, Lightbox, EDF Energy, Finn Air, IPRO, Twist, Penn National Gaming Inc
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896,942 professionals have used our research since 2012.