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Chef SaaS 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)
Chef SaaS
Average Rating
8.0
Number of Reviews
2
Ranking in other categories
AWS Marketplace (119th)
DBLab Engine
Average Rating
7.6
Number of Reviews
2
Ranking in other categories
AWS Marketplace (112th)
 

Featured Reviews

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Aaron Prashanth - PeerSpot reviewer
Dev Ops Engineer at Siemens Industry
Consistent releases have improved collaboration while configuration procedures still need simplification
What stands out for me in Chef SaaS is that the procedure is straightforward and the release goes smoothly because we can create different versions according to our own requirements. Chef SaaS helps with collaboration between our development and operations team. A benefit I can see is that configuring is easier because developers commit new code and new versions, and using Chef SaaS, we can create different cookbooks. Cookbooks contain different recipes, and different cookbooks represent different versions. Using these versions, we can consolidate and create a new package that will help us with the release. Since this is a product-based company and our product is wind turbines, every time we have a product release or patch release, Chef SaaS helps us tremendously. We release different patch cycles such as LTS patch cycles, Windows patches, or any kind of patch feature and built features. To maintain the cycle, the process is quite smooth.
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
53%
Media Company
11%
Comms Service Provider
7%
Healthcare Company
5%
Construction Company
64%
Outsourcing Company
9%
Healthcare Company
7%
Insurance Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
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Questions from the Community

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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

 

Overview

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