MinIO AIStor

We use MinIO  as a cloud storage solution specifically for our data science team. It helps us share data and organize segregation of duties and security rules based on the S3  API and credentials. We leverage it to manage access and role-based models, among other tasks.

We use MinIO  as a cloud storage solution, which is easy to integrate with our data science tools. This means our data scientists can handle extensive data processing and analysis more seamlessly.

MinIO is easy to install and use, especially for standalone installations. It supports S3  API integration, which makes it compatible with various data science tools and simplifies the organization of storage classes in Kubernetes .

The main issue we face with MinIO is performance. We need higher I/O capabilities for extensive data read-write operations, especially when dealing with big data and Parquet formats. The issue might be related to our simple deployment setup, but it still affects usability.

We have been using MinIO for about six months.

MinIO is generally stable, but we have noticed occasional performance downgrades when our data scientists perform extensive data read-write operations. We need more observability and monitoring to understand these occurrences better.

We are not happy with MinIO's performance scalability, as we need more I/O capabilities to handle big data.

I personally have not contacted MinIO's technical support, but I know some colleagues who have, and they were generally happy with the service.

The initial setup of MinIO is straightforward. It took us about a week, which included discussions, reconfiguration, and running tests.

Our IT team, comprising a few members, handled the installation and initial setup.

It's hard to compare pricing as we are looking for a solution that includes vendor support, which would ensure reliability and ease of operations. Comparing MinIO to other vendor-backed solutions is challenging in this context.

We evaluated other vendors like Dell for their monitoring and support capabilities.

I'd rate the solution seven out of ten.

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.

I use the solution's basic object storage functionalities, like AWS S3 compatible APIs and creating buckets.

MinIO should provide an easier subscription model for companies that don't have a huge amount of data. Our company has a maximum of 100 terabytes of data. The solution should provide more bugging tools in the open-source version to encourage people to buy the support services.

It's not an easy decision. If I go to the management and tell them that I need to buy a service, there should be an easier subscription model for companies that don't have huge amounts of data. For me, getting a subscription for 15,000 a year for a system already in production might be a bit hard.

I think MinIO supports a minimum of one petabyte or 100 terabytes of data. Since we don't have such huge amounts of data, buying a subscription for the solution is a bit difficult. Hence, we're only using the open-source version for now. If MinIO becomes really crucial for our business, we could ask the management to get a subscription.

I have been using MinIO for two years.

MinIO is a stable solution.

I rate the solution’s stability a nine out of ten.

There are some limitations on the number of hard disks and nodes you can add to the solution. The solution works for small, medium, and enterprise businesses, depending on their data model. In an organization with a huge data set and requirements for big data, MinIO can be managed by a team or one or two users.

I rate the solution’s scalability an eight out of ten.

The solution's initial setup is really easy and straightforward. I have done stand-alone setups in Linux, Docker, Docker Compose, and Docker Swarm.

We use the solution's open-source version.

MinIO's cloud version has a couple of competitors, like Google File System and Amazon S3, which are cheaper than MinIO. There are no alternatives to MinIO's on-premises version. There are some, but they have a different model. What makes MinIO unique is its compatibility with Amazon S3.

The solution's integration with AI tools is very easy, and I rate it ten out of ten. Because of Amazon S3 compatible APIs, what works with Amazon also works with MinIO. I have tried this often in many use cases, and it seems good. I would recommend the solution to other users.

Overall, I rate the solution a nine out of ten.

I like that if you have a problem, you can buy the home server. It is stable and robust.

The solution should have high availability. Also, support should be quick.

I have been using MinIO for two years.

The product is stable. If you buy the SSD, then it's good.

I rate the solution's stability a nine out of ten.

The solution’s scalability is good.

100+ users are using this solution.

I rate the solution’s scalability a seven out of ten.

MinIO provides community support. We can find the solution from the community, but it takes a few weeks to get the answer.

MinIO is easy to use and works with another connector.

The initial setup is easy and takes one to three hours, depending on the infrastructure. To deploy, download the container and then deploy it on our infrastructure.

I rate the initial setup an eight out of ten, where one is difficult, and ten is easy.

The product is free of cost.

I rate the solution’s performance as seven to eight out of ten.

Overall, I rate the solution an eight out of ten.

My company uses MinIO for storage purposes and as a replacement for Amazon S3.

MinIO has helped speed up the processes carried out by my company's developers.

The most valuable feature of the solution is that it offers features similar to the ones offered by Amazon S3. In my company, we needed a tool that we could deploy on a hybrid environment consisting of a private cloud. The solution's use in a hybrid environment is great.

MinIO can make it easier to install the product in an OpenShift kind of environment. I think it's a little bit tricky to install MinIO in an OpenShift type of environment.

I have been using MinIO for three years. I use the solution's latest version.

Scalability-wise, it is a good solution. I rate the solution's scalability a seven or eight out of ten.

I have experience with Apache Hadoop, Amazon S3, and Microsoft Azure. My company uses MinIO due to the cloud-related capabilities that it offers us.

The product's initial setup phase is complex.

The solution is deployed on a hybrid cloud.

One or two people can deploy the solution over a period of two months.

I cannot say if I have seen a return on investment from the use of the solution since it is not a paid product. My company uses the open-source version of the product. The product does save time for our company.

My company hasn't tried the version of the solution where we need to pay to use it.

MinIO requires maintenance. One person is required to take care of the tool's maintenance part.

I recommend the solution to those who plan to use it.

I rate the overall product a seven or eight out of ten.