Data Scientist at a tech vendor with 501-1,000 employees
Real User
Top 10
2024-09-06T15:47:20Z
Sep 6, 2024
MinIO is a very good system, and it's very suitable for people seeking an object storage system that is very similar to Amazon S3 and hosted locally. It's not in production yet, even though we have been working on it for years. I haven't tested the solution's performance. I haven't done any heavy tests on the platform. We do not use the tool for really big data, but we use it for mid-sized datasets. The solution's performance is good. I can't complain about it because we don't have the best design.
The tool helps our customers store documents with their respective versions. Our solutions work around loan processing, loan origination, loan management, and collections. During the loan application process, there is a lot of documentation involved which needs to be stored. The product handles the document’s versioning and storing. Our solutions also have a module that does the video KYC of our customers. MinIO saves the actual recording of the video KYC process. We use the tool to store and retrieve documents and videos with proper versioning.
Data Scientist at a comms service provider with 51-200 employees
Real User
2022-04-25T11:59:19Z
Apr 25, 2022
We are using this solution as a data link, to store data in a structured dataset. We've been testing the functionalities and how we can integrate our system into it. We are customers of MinIO and I'm a data scientist.
FOSS Consultant & Creative Commons Musician at EVALinux
Real User
2021-12-21T10:40:00Z
Dec 21, 2021
We were trying to implement on object-storage a distributable solution and the main use was for cryptocurrency mining. The cryptocurrency uses block storage or different storage for crypto mining.
A multi-tenant data space solution that in our case, consumes and stores large amounts of traffic sensor data for multiple cities worldwide. Right from the start the data-space solution we were building was supposed to be cloud native & cloud agnostic, hence instead of interacting with AWS-S3 using SDK we were using minIO as a gateway over AWS-s3 store. We're long-standing customers of MinIO. I was a senior member of the technical staff with the team who built the data-space solution.
Staff Engineer at a tech services company with 5,001-10,000 employees
Real User
2021-09-30T20:25:00Z
Sep 30, 2021
Generally speaking, we use MiniIO for storing unstructured or semi-structured data. In my current project, we were using it for the semi-structured data. We also use MinIO as a data link. The data is transformed and loaded onto MinIO. And MinIO is used to rate the statistics based on the data. So I'll just briefly explain how the entire flow works and how the data comes into the menu. After we transform the data, we input it into MinIO. The raw data is in different formats. It is in a delimited, positional-specific, or some other format. And three types of data—virtual, date and time, and numeric—are being loaded, including all Python and Java date formats and various kinds of normal data. Once we transform the data, we load it onto MinIO. The development and QA teams are the primary users. They work on MinIO together to load the data. So, for the lower environment, the subsequent systems directly read the data from the menu and then utilize it for visualization. The actual end-customer is not reading the data directly from MinIO.
We host a document store with approximately seven million documents that need to be retained in perpetuity. The documents are used for discovery in legal cases. The document store grows continuously and periodically they have been rehoused due to scalability issues. We selected MinIO because it promises to be a more highly scalable and performant solution than past choices. We are users of MinIO and I'm the VP of Information Services as well as the company CTO.
senior software Engineer at a tech vendor with 11-50 employees
Real User
2021-08-30T20:16:17Z
Aug 30, 2021
Our primary use case of this solution is for the microservices architecture built with .NET Core. I'm a senior software engineer and we are customers of MinIO.
We used it for machine learning artifacts in terms of model weights and the model outputs for visualizations for ephemeral tasks. I was using it less than a year ago, and it was the latest open-source version.
MinIO is an open-source object storage system. It is designed to efficiently store and retrieve unstructured data, such as photos, videos, and backups. MinIO can be used as a standalone object storage server or as part of a larger system, such as a data lake or a private cloud, and can be deployed on-premise, in the cloud, or in a hybrid environment, making it a flexible storage solution for a variety of use cases.
MinIO’s features include erasure coding, bitrot protection, and checksum...
MinIO is a very good system, and it's very suitable for people seeking an object storage system that is very similar to Amazon S3 and hosted locally. It's not in production yet, even though we have been working on it for years. I haven't tested the solution's performance. I haven't done any heavy tests on the platform. We do not use the tool for really big data, but we use it for mid-sized datasets. The solution's performance is good. I can't complain about it because we don't have the best design.
My company uses MinIO for storage purposes and as a replacement for Amazon S3.
We use the solution for object storage in our core platform. It works best as a data lake solution for us.
The tool helps our customers store documents with their respective versions. Our solutions work around loan processing, loan origination, loan management, and collections. During the loan application process, there is a lot of documentation involved which needs to be stored. The product handles the document’s versioning and storing. Our solutions also have a module that does the video KYC of our customers. MinIO saves the actual recording of the video KYC process. We use the tool to store and retrieve documents and videos with proper versioning.
We are using this solution as a data link, to store data in a structured dataset. We've been testing the functionalities and how we can integrate our system into it. We are customers of MinIO and I'm a data scientist.
We use MinIO for enterprise file storage.
We were trying to implement on object-storage a distributable solution and the main use was for cryptocurrency mining. The cryptocurrency uses block storage or different storage for crypto mining.
My primary use case is to help our customers integrate with MinIO to do file-sharing collaborations.
I was using MinIO for my own research and some other work which I cannot disclose.
A multi-tenant data space solution that in our case, consumes and stores large amounts of traffic sensor data for multiple cities worldwide. Right from the start the data-space solution we were building was supposed to be cloud native & cloud agnostic, hence instead of interacting with AWS-S3 using SDK we were using minIO as a gateway over AWS-s3 store. We're long-standing customers of MinIO. I was a senior member of the technical staff with the team who built the data-space solution.
Generally speaking, we use MiniIO for storing unstructured or semi-structured data. In my current project, we were using it for the semi-structured data. We also use MinIO as a data link. The data is transformed and loaded onto MinIO. And MinIO is used to rate the statistics based on the data. So I'll just briefly explain how the entire flow works and how the data comes into the menu. After we transform the data, we input it into MinIO. The raw data is in different formats. It is in a delimited, positional-specific, or some other format. And three types of data—virtual, date and time, and numeric—are being loaded, including all Python and Java date formats and various kinds of normal data. Once we transform the data, we load it onto MinIO. The development and QA teams are the primary users. They work on MinIO together to load the data. So, for the lower environment, the subsequent systems directly read the data from the menu and then utilize it for visualization. The actual end-customer is not reading the data directly from MinIO.
We host a document store with approximately seven million documents that need to be retained in perpetuity. The documents are used for discovery in legal cases. The document store grows continuously and periodically they have been rehoused due to scalability issues. We selected MinIO because it promises to be a more highly scalable and performant solution than past choices. We are users of MinIO and I'm the VP of Information Services as well as the company CTO.
Our primary use case of this solution is for the microservices architecture built with .NET Core. I'm a senior software engineer and we are customers of MinIO.
We used it for machine learning artifacts in terms of model weights and the model outputs for visualizations for ephemeral tasks. I was using it less than a year ago, and it was the latest open-source version.
We are a solution provider and I am working on a project that is using MinIO for storage.