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ClearScale Red Hat Enterprise Linux 10 vs DBLab Engine comparison

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Executive Summary

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

Arctera Insight Platform
Sponsored
Average Rating
0
Number of Reviews
0
Ranking in other categories
Data Governance (61st), Compliance Management (31st)
ClearScale Red Hat Enterpri...
Average Rating
10.0
Number of Reviews
2
Ranking in other categories
AWS Marketplace (431st)
DBLab Engine
Average Rating
7.6
Number of Reviews
2
Ranking in other categories
AWS Marketplace (112th)
 

Featured Reviews

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reviewer2856162 - PeerSpot reviewer
DevOps Engineer at a consultancy with 11-50 employees
Hardened, fast-launching base image that streamlined our Kubernetes node deployments
More published documentation around the exact CIS controls applied and how to layer additional Kubernetes-specific hardening, such as kubelet and CIS Kubernetes benchmark, on top would be helpful. A minimal or slim variant tuned specifically for container hosts and clearer release notes per version would also be welcome. Out-of-the-box monitoring and observability integration could be expanded.
reviewer2845797 - PeerSpot reviewer
Software Engineer at a transportation company with 51-200 employees
Rapid database cloning has accelerated realistic testing but initial setup still needs simplification
I only used DBLab Engine for a while, but I already see many benefits. I can think of applications not only in the hackathon, but we can also probably do some black-box monitoring, set up some simulation environments, and I think it is very helpful to have this kind of automatic testing to ensure that whenever our new feature is delivered, there are no regressions. In my experience, the absolute best feature of DBLab Engine is the thin cloning capability driven by copy-on-write technology. Being able to provide a full-size production-scale database clone in just a few seconds, regardless of whether the underlying database is tens of gigabytes or multiple terabytes, is a massive game-changer for engineering velocity. I really would to try more. The complete environment isolation is also very fantastic. I have noticed that the thin cloning and environmental isolation of DBLab Engine have dramatically accelerated our development lifecycle and improved overall code quality, even in a hackathon. Before utilizing this, setting up a realistic test database was a major bottleneck. Developers either had to share a single staging database or spend hours trying to seed a local database with a thin, representative subset of mock data. With DBLab Engine, we achieved complete workflow interdependence, which was incredibly helpful.
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Top Industries

By visitors reading reviews
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Construction Company
64%
Outsourcing Company
9%
Healthcare Company
7%
Insurance Company
7%
 

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Questions from the Community

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What is your experience regarding pricing and costs for ClearScale Red Hat Enterprise Linux 10?
While the subscription cost is higher than community Linux distributions, organizations should evaluate the total cos...
What needs improvement with ClearScale Red Hat Enterprise Linux 10?
The initial setup and configuration process can be complex for teams without prior Red Hat experience. Some administr...
What is your primary use case for ClearScale Red Hat Enterprise Linux 10?
Our primary use case is hosting enterprise web applications, backend services, containerized workloads, and cloud-bas...
What is your experience regarding pricing and costs for DBLab Engine?
I think DBLab Engine offers excellent flexibility when it comes to pricing and license because the core engine, I bel...
What needs improvement with DBLab Engine?
One thing I noticed is that not many people know about DBLab Engine, so I think it needs more advertisement. Addition...
What is your primary use case for DBLab Engine?
During the hackathon, my main use case for DBLab Engine was quickly spinning up a full-size database clone for testin...
 

Comparisons

 

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