Megaladata vs. Retool

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Megaladata
Score 0.0 out of 10
N/A
Megaladata is a low code platform for data analysis designed to make advanced analytics accessible. Visual design of complex data analysis models with no involvement of the IT department and no need for programming. Over 60 ready-to-use processing components. Integration with various sources. Processes large datasets through in-memory computing and parallelism. Reusable components that facilitate accumulation of business…
$0
per year per user
Retool
Score 8.4 out of 10
N/A
Retool is a UI software component library presenting a fast way to build custom internal tools, from the company of the same name in San Francisco, California.
$10
per month per user
Pricing
MegaladataRetool
Editions & Modules
Community Edition
$0
per year per user
Cloud
$0.99
per hour
Team
starts at $21900
per year for small teams of 5-10 people
Standard
starts at $33300
per year for small teams of 5-20 people
Enterprise
starts at $78000
per year for large companies and complex projects
Team
$10
per month per user
Business
$50
per month per user
Enterprise
Custom Quote
Offerings
Pricing Offerings
MegaladataRetool
Free Trial
YesYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details-Community Edition (Desktop, non-commercial use): Free -Personal (Desktop): $399/year -Team (Server): $21900/year -Standard (Server): $33300/year -Enterprise (Server): $78000/year
More Pricing Information
Features
MegaladataRetool
Low-Code Development
Comparison of Low-Code Development features of Product A and Product B
Megaladata
-
Ratings
Retool
6.9
3 Ratings
20% below category average
Drag-and-drop Interfaces00 Ratings5.02 Ratings
Platform Security00 Ratings7.12 Ratings
Platform User Management00 Ratings8.02 Ratings
Reusability00 Ratings6.02 Ratings
Platform Scalability00 Ratings8.23 Ratings
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MegaladataRetool
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User Ratings
MegaladataRetool
Likelihood to Recommend
-
(0 ratings)
8.4
(3 ratings)
Usability
-
(0 ratings)
7.8
(2 ratings)
User Testimonials
MegaladataRetool
Likelihood to Recommend
Megaladata
No answers on this topic
Retool
Works well in: Connecting directly to databases and APIs holding candidate data. Allows teams to easily drill into records from different data sources. Quick to build dashboards. It wouldn't work well without a team to actually get it set up. There is limited design/ branding, making it look very basic. Your team requires training because data can be overwritten easily. Having some knowledge with your whole team is super important, and if you work with contractors or non-tech people, this can be a huge issue.
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Pros
Megaladata
No answers on this topic
Retool
  • Ease of use - someone with small amount of experience can use it.
  • Adaptability - you can build a lot of things with it.
  • Reliability - works quite well.
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Cons
Megaladata
No answers on this topic
Retool
  • Some Retool apps can become slow to load or refresh.
  • When multiple team members work on the same app, changes can overwrite each other or break functionality.
  • The UI/UX is pretty basic.
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Usability
Megaladata
No answers on this topic
Retool
Because even though it is quite intuitive it is not the best tool I have ever seen.
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Alternatives Considered
Megaladata
No answers on this topic
Retool
We selected Retool because it offers the best balance of usability and power compared to alternatives like Appsmith, ToolJet, and OutSystems. It allows us to build much faster, with broad integrations and strong enterprise features like permissions and environment management. Competing tools were either too limited, required more engineering effort. Overall, retool support has been decent too.
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Return on Investment
Megaladata
No answers on this topic
Retool
  • Major impact - ability to build a backend system is huge.
  • Major impact - used every day by multiple people.
  • Major impact - ability to be used by less technical teammates.
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ScreenShots

Megaladata Screenshots

Screenshot of Screenshot of Screenshot of Native integration with PythonScreenshot of Prepare your data and fix the issuesScreenshot of Screenshot of Integration with the most common datasets