Software Alternatives, Accelerators & Startups

LakeFS VS DevOps Testing Services

Compare LakeFS VS DevOps Testing Services and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

LakeFS logo LakeFS

lakeFS is an open-source tool that transforms your object storage to Git-like repositories. Start managing data the way you manage your code.

DevOps Testing Services logo DevOps Testing Services

ImpactQA maintains better time-to-market by deploying the latest DevOps technologies in its comprehensive testing routine including DevTestOps, AIOps, continuous testing, etc.
  • LakeFS Landing page
    Landing page //
    2023-08-27
  • DevOps Testing Services Landing page
    Landing page //
    2023-09-17

Analysis of DevOps Testing Services

Overall verdict

  • ImpactQA's DevOps Testing Services appear to be a solid choice for organizations looking to integrate continuous testing into their CI/CD pipelines, offering a blend of automation expertise, experienced QA professionals, and flexible engagement models suited to modern software delivery needs.

Why this product is good

  • Provides continuous testing integration within CI/CD pipelines to support faster release cycles
  • Offers a team of experienced QA engineers skilled in automation tools like Selenium, Jenkins, and Docker
  • Supports shift-left testing approach, helping catch defects earlier in the development lifecycle
  • Provides scalable and flexible engagement models to suit different project sizes and budgets
  • Focuses on end-to-end test automation reducing manual effort and improving efficiency
  • Has experience across multiple industries, indicating adaptability to diverse business requirements

Recommended for

  • Companies transitioning to or scaling DevOps and CI/CD practices
  • Organizations seeking to accelerate release cycles without compromising quality
  • Businesses needing dedicated QA support for automation and continuous testing
  • Startups and enterprises looking for outsourced or augmented QA teams
  • Teams aiming to reduce manual testing overhead through automation frameworks

LakeFS videos

Getting Started With lakeFS

More videos:

  • Review - Get Ready for ML! Level Up Your Data Lake with Delta and lakeFS | Treeverse

DevOps Testing Services videos

No DevOps Testing Services videos yet. You could help us improve this page by suggesting one.

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Category Popularity

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Cloud Computing
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Cloud Storage
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AI
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Analytics
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User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare LakeFS and DevOps Testing Services

LakeFS Reviews

4 Must-Have Open Source Solutions for Object Storage
LakeFS allows you to create a development environment where you can perform experiments and document them in a reproducible manner. Like Git, you can create commits and branches, making it possible for you to move along the timeline of your application development and try out new features in isolation. Amazingly, lakeFS performs all this without duplicating any data โ€”...

DevOps Testing Services Reviews

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Social recommendations and mentions

Based on our record, LakeFS seems to be more popular. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

LakeFS mentions (6)

  • Ask HN: AWS S3, Cloudflare R2, GCS, Wasabi, or B2?
    I would add https://github.com/gaul/s3proxy to your list. - Source: Hacker News / over 2 years ago
  • Dev / Stage / Prod is the wrong pattern for data pipelines
    * data state - this is contents of both your data and metadata at a given point in time. if your data doesn't fit into a single database, this can be difficult to manage. We use this technology to help us: https://lakefs.io/. - Source: Hacker News / almost 3 years ago
  • Dev / Stage / Prod is the wrong pattern for data pipelines
    Saltcured, find these comments super insightful! > Yeah, there's a lot of hidden magic/assumptions in having a "writable snapshot of a specific version" of production data. That's absolutely a huge assumption. This technology has been a game changer for us: https://lakefs.io/ > It becomes a headache when there is too much contention to use these sandboxes, or too much manual effort to reset them to a desired... - Source: Hacker News / almost 3 years ago
  • Using git to version control experimental data (not code)?
    You should not store your data in git itself, but rather use git to version your data sets. The currently best option for that is (IMHO) https://lakefs.io though there are a few others in various states of usability/maturity. Source: over 3 years ago
  • How are you incrementally testing your data pipelines as you develop them?
    I mean if you're ready to adopt a new framework into your ecosystem this is one of the major usecases for LakeFS. Source: over 3 years ago
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DevOps Testing Services mentions (0)

We have not tracked any mentions of DevOps Testing Services yet. Tracking of DevOps Testing Services recommendations started around Jun 2022.

What are some alternatives?

When comparing LakeFS and DevOps Testing Services, you can also consider the following products

DVC - Diablo Valley College consists of two campuses serving more than 22,000 students in Contra Costa County each semester with a wide variety of program options.

Monte Carlo Data - Monte Carloโ€™s Data Observability platform increases trust in data by eliminating data downtime, so engineers innovate more and fix less.

Git Large File Storage - Git Large File Storage (LFS) replaces large files such as audio samples, videos, datasets, and graphics with text pointers.

ArtiVC - ArtiVC (Artifact Version Control) is a version control system for large files.

Tonic AI - The fake data company

AWS Lake Formation - AWS Lake Formation is a service that lets you build, secure, and manage your data lake on AWS, reducing the set up time from months to days.