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DataCore Swarm vs MinIO comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 4, 2024

Review summaries and opinions

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

Room For Improvement

Sentiment score
7.1
DataCore Swarm's high cost, server needs, and complex setup limit its accessibility, requiring streamlined processes and lower volume licenses.
Sentiment score
5.3
Users seek better monitoring, storage, multi-tenancy, documentation, security, integration, high availability, flexible subscriptions, and improved performance.
The main issue currently is the hard installation process.
 

Valuable Features

Sentiment score
8.1
DataCore Swarm offers flexible, user-friendly management, scalability, and robust security with S3 compatibility, ensuring seamless hardware integration and data availability.
Sentiment score
7.8
MinIO offers easy management, S3 API compatibility, efficient storage, high performance, and integrates well with Kubernetes and AI tools.
DataCore Swarm is highly available.
 

Customer Service

No sentiment score available
No sentiment score available
MinIO users rely on community support via forums and Slack due to limited direct support and lacking technical documentation.
They're proactive and assist even if there's no direct issue with DataCore Swarm.
 

Scalability Issues

No sentiment score available
Sentiment score
6.9
MinIO excels in scalability and performance but may require manual interventions for high-volume unstructured data with disk limitations.
We use two kinds of architectures, one with single nodes where disk addition is easy and another with a larger infrastructure.
 

Setup Cost

No sentiment score available
No sentiment score available
MinIO offers a free version for testing, but enterprises often transition to the licensed version for support and stability.
While the initial step is expensive, ramping up capacity is relatively affordable compared to alternatives.
 

Stability Issues

No sentiment score available
Sentiment score
8.4
MinIO is stable with high ratings, though some report performance fluctuations and synchronization issues, especially on Kubernetes.
 

Categories and Ranking

DataCore Swarm
Ranking in File and Object Storage
13th
Average Rating
10.0
Reviews Sentiment
7.6
Number of Reviews
4
Ranking in other categories
No ranking in other categories
MinIO
Ranking in File and Object Storage
1st
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
24
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2024, in the File and Object Storage category, the mindshare of DataCore Swarm is 0.4%, up from 0.3% compared to the previous year. The mindshare of MinIO is 23.1%, down from 23.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
File and Object Storage
 

Featured Reviews

CP
Low-cost storage with great automatic failover and easy expansion capabilities
The solution needs simpler architecture; we need many servers to start using the solution. We know that a project is in the roadmap to put the services in a container and we think it will be a very good thing. The second thing would be to improve the updates of the solution. We need a "long" time to pass between the patches on each new version. Again, the containers would be a solution to that. The last improvement for us is already in the pipeline, and we have been able to test it. It's an all-in-one server solution. This system allows us to do the primary copy of the data on a unique server that we can easily move and then transfer the data inside the data center.
Ashis Parajuli - PeerSpot reviewer
A tool for storage purposes that helps businesses save time
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…
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Use our free recommendation engine to learn which File and Object Storage solutions are best for your needs.
816,406 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Computer Software Company
25%
Comms Service Provider
20%
Financial Services Firm
10%
Legal Firm
8%
Computer Software Company
18%
Financial Services Firm
12%
Manufacturing Company
11%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about DataCore Swarm?
The first feature is compatibility with the S3 protocol. DataCore SWARM allows you to quickly have an on-premise, robust and scalable environment that is natively compatible with the S3 protocol. ...
What is your experience regarding pricing and costs for DataCore Swarm?
The first installation brick is expensive but the upgrades are extremely simple and granular by adding disks or nodes
What needs improvement with DataCore Swarm?
The product currently requires a significant number of servers to start. There are also network prerequisites to be met in order to guarantee good security of the architecture, which means that the...
How does Red Hat Ceph Storage compare with MiniO?
Red Hat Ceph does well in simplifying storage integration by replacing the need for numerous storage solutions. This solution allows for multiple copies of replicated and coded pools to be kept, ea...
What do you like most about MinIO?
I like that if you have a problem, you can buy the home server. It is stable and robust.
 

Comparisons

 

Also Known As

Caringo Swarm
No data available
 

Learn More

Video not available
 

Overview

 

Sample Customers

iQ Media, NEP, Texas Tech University, Telefónica, City of Austin, Massive Media, Data Deposit Box, Premier Physician Services, Truliant Federal Credit Union
Information Not Available
Find out what your peers are saying about DataCore Swarm vs. MinIO and other solutions. Updated: October 2024.
816,406 professionals have used our research since 2012.