DRBD vs IBM Platform Computing LSF comparison

Linbit and IBM are both solutions in the High Availability Clustering category. Linbit is ranked #5, while IBM is ranked #7. Linbit holds a 12.9% mindshare in HAC, compared to IBM’s 8.2% mindshare. Additionally, 100% of Linbit users are willing to recommend the solution.

DRBD

Read 1 DRBD review

300 Views
300 Comparison Views

100% willing to recommend

IBM Platform Computing LSF

Read 1 IBM Platform Computing LSF review

105 Views
105 Comparison Views

0% willing to recommend

DRBD

IBM Platform Computing LSF

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

DRBD

Ranking in High Availability Clustering

5th

Average Rating

8.0

Number of Reviews

Ranking in other categories

No ranking in other categories

IBM Platform Computing LSF

Ranking in High Availability Clustering

7th

Average Rating

0.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of November 2025, in the High Availability Clustering category, the mindshare of DRBD is 12.9%, down from 13.4% compared to the previous year. The mindshare of IBM Platform Computing LSF is 8.2%, up from 1.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

High Availability Clustering Market Share Distribution
Product	Market Share (%)
DRBD	12.9%
IBM Platform Computing LSF	8.2%
Other	78.9%

High Availability Clustering

Featured Reviews

it_user302112

Senior Consultant IT Infrastructure at a tech consulting company with 51-200 employees

It's kept data synchronized between multiple nodes in different datacenters, though it should have its own filesystem which can be used in multi-master environments.

Working with DRBD can be complex and it takes time to understand how it works. Especially split-brain scenarios need to be handled carefully. When it comes to multi-master setups, which are possible with the latest DRBD version, you need to use a cluster filesystem. I think that DRBD should write their own filesystem which can be used in multi-master environments since most cluster filesystems are complex or simply have many flaws.

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it_user371841

System Administratora at Xilinx

I think the most valuable feature is the service-level agreement.

I think the most valuable feature is the service-level agreement It's made us operate our business more efficiently. We're able to function with greater cost efficiently utilization of IT resources. Intensive testing is required before version/product release as there are many bugs and other…

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Comparisons

Windows Server Failover Clustering vs DRBD

Compared 40% of the time

Veritas InfoScale Availability vs DRBD

Compared 31% of the time

HPE Serviceguard vs DRBD

Compared 29% of the time

More DRBD Competitors

Veritas InfoScale Availability vs IBM Platform Computing LSF

Compared 100% of the time

More IBM Platform Computing LSF Competitors

Also Known As

No data available

Platform Computing LSF

Overview

Transparent to your applications and databases, data is seamlessly replicated, eliminating single points of failure within your IT infrastructure. DRBD prevents data loss during hardware failures, automatically recovering systems in seconds by combining DRBD with Pacemaker. LINBIT includes Full installation and support for both components in our Enterprise Support offerings.

Linbit

IBM Platform LSF is a powerful workload management platform for demanding, distributed HPC environments. It provides a comprehensive set of intelligent, policy-driven scheduling features that enable you to utilize all of your compute infrastructure resources and ensure optimal application performance.

IBM

Sample Customers

Cisco, Portland State University, Porsche Informatik, Siemens, Ericsson,T-Mobile, Addidas

Cypress Semiconductor, Platform RTM, HPC, Genomic, Wellcome Trust Sanger Institute, A*STAR

See our list of best High Availability Clustering vendors.

We monitor all High Availability Clustering reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.