lakeFS VS Ory Kratos

Compare lakeFS vs Ory Kratos and see what are their differences.

Ory Kratos

Next-gen identity server replacing your Auth0, Okta, Firebase with hardened security and PassKeys, SMS, OIDC, Social Sign In, MFA, FIDO, TOTP and OTP, WebAuthn, passwordless and much more. Golang, headless, API-first. Available as a worry-free SaaS with the fairest pricing on the market! (by ory)
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lakeFS Ory Kratos
48 41
4,022 10,436
3.0% 5.9%
9.8 9.6
6 days ago 6 days ago
Go Go
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

lakeFS

Posts with mentions or reviews of lakeFS. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-31.
  • Jujutsu: A Git-compatible DVCS that is both simple and powerful
    11 projects | news.ycombinator.com | 31 Jul 2023
    Might want to look at purpose built tools for that such as lakeFS (https://github.com/treeverse/lakeFS/)

    * Disclaimer: I'm one of the creators/maintainers of the project.

  • Data diffs: Algorithms for explaining what changed in a dataset (2022)
    8 projects | news.ycombinator.com | 26 Jul 2023
    Might want to checkout lakeFS: https://github.com/treeverse/lakeFS

    (full disclosure: I'm one of the creators)

  • Dolt Is Git for Data
    5 projects | news.ycombinator.com | 23 Jun 2022
    Also in the same vein, check out https://lakefs.io/
  • [P] ArtiV: Version control system for large files
    2 projects | /r/MachineLearning | 8 Mar 2022
  • Data Science Workflows — Notebook to Production
    7 projects | dev.to | 8 Feb 2022
    Git was designed for managing software development projects and for versioning text/code files. Therefore, Git doesn’t handle large files. Git released Git LFS (Large File System) to overcome large file versioning, which is better than Git, but fails when scaling. Also, both Git and Git LFS are not optimized for data science workflow. To overcome this challenge, many powerful tools emerged in recent years, such as DVC, Delta Lake, LakeFS, and more.
  • Unstructured Data Governance for ML
    4 projects | /r/dataengineering | 31 Dec 2021
    LakeFS: https://lakefs.io/
  • LakeFS Turns 1 and Raises 15M in a Week: (Enable Git for Large-Scale Data Lakes)
    2 projects | news.ycombinator.com | 8 Aug 2021
    Hello HN!

    We're Oz and Einat, co-founders of lakeFS (https://lakefs.io/), an open-source project that allows the creation of performant git-like repositories over an object store (i.e. S3).

    Prior to starting lakeFS we were VP of R&D and CTO at SimilarWeb, a (now-public) Israeli web analytics company whose business model is based on the collection and analysis of the internet's activity.

    2 projects | news.ycombinator.com | 8 Aug 2021
    Recovering from a pernicious error in a million S3 files shouldn't require a full day or even week of work to fix… instead let's make it an instantaneous revert operation to a previous commit.

    The challenge to implement this type of functionality is a technical one, one we took it upon ourselves to solve. It's been 1 year since the first public commit on lakeFS and we've now raised a $15M Series A to continue building and improving our vision.

    We've evolved a ton in the past year, completely refactoring the data model to remove dependency on Postgres. Fittingly, we now use rocksDB on the object store to persist the metadata lakeFS manages (with the added benefit of simplifying the installation process). Check out the roadmap to follow our progress on building out native integrations with other important technologies in the open data stack such as Spark, Hive Metastore, and Delta Lake.

    We encourage you to check out our Github repo: (https://github.com/treeverse/lakeFS) and documentation pages: (https://docs.lakefs.io/).

    We're proud of how far we've come, but know there's lots more work to do. Please do let us know your thoughts!

  • Gopher Gold #14 - Wed Oct 07 2020
    22 projects | dev.to | 7 Oct 2020
    treeverse/lakeFS (Go): An open source platform that delivers resilience and manageability to object-storage based data lakes

Ory Kratos

Posts with mentions or reviews of Ory Kratos. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-22.

What are some alternatives?

When comparing lakeFS and Ory Kratos you can also consider the following projects:

Keycloak - Open Source Identity and Access Management For Modern Applications and Services

SuperTokens Community - Open source alternative to Auth0 / Firebase Auth / AWS Cognito

zitadel - ZITADEL - The best of Auth0 and Keycloak combined. Built for the serverless era.

Ory Hydra - OpenID Certified™ OpenID Connect and OAuth Provider written in Go - cloud native, security-first, open source API security for your infrastructure. SDKs for any language. Works with Hardware Security Modules. Compatible with MITREid.

dvc - 🦉 ML Experiments and Data Management with Git

Ory Keto - Open Source (Go) implementation of "Zanzibar: Google's Consistent, Global Authorization System". Ships gRPC, REST APIs, newSQL, and an easy and granular permission language. Supports ACL, RBAC, and other access models.

OPA (Open Policy Agent) - Open Policy Agent (OPA) is an open source, general-purpose policy engine.

Vault - A tool for secrets management, encryption as a service, and privileged access management

authelia - The Single Sign-On Multi-Factor portal for web apps

frank_jwt - JSON Web Token implementation in Rust.

fusionauth-issues - FusionAuth issue submission project

delta - An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs