Software Alternatives & Reviews

DoltHub VS neptune.ai

Compare DoltHub VS neptune.ai and see what are their differences

DoltHub logo DoltHub

DoltHub is where people collaboratively build, manage, and distribute structured data.

neptune.ai logo neptune.ai

Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.
  • DoltHub Landing page
    Landing page //
    2020-03-31
  • neptune.ai Landing page
    Landing page //
    2023-08-24

Track and version your notebooks Log all your notebooks directly from Jupyter or Jupyter Lab. All you need is to install a Jupyter extension.

Manage your experimentation process Neptune tracks your work with virtually no interference to the way you like to do it. Decide what is relevant to your project and start tracking: - Metrics - Hyperparameters - Data versions - Model files - Images - Source code

Integrate with your workflow easily Neptune is a lightweight extension to your current workflow. Works with all common technologies in data science domain and integrates with other tools. It will take you 5 minutes to get started.

DoltHub videos

Dolt: Another Relational Database, Why and How (Oscar Batori & Zach Musgrave , DoltHub)

neptune.ai videos

Machine Learning Experiment Management with Neptune.ai - How to start

Category Popularity

0-100% (relative to DoltHub and neptune.ai)
Databases
100 100%
0% 0
Data Science And Machine Learning
Data Science Notebooks
13 13%
87% 87
Machine Learning Tools
20 20%
80% 80

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare DoltHub and neptune.ai

DoltHub Reviews

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neptune.ai Reviews

  1. Easy to use, not overdone, good for model management and collab

    Only negative is I didn't see it integrated with Azure, does with Google, AWS and one more. Looks real nice, and pretty powerful and plenty useful features for a data science group

Social recommendations and mentions

Based on our record, neptune.ai should be more popular than DoltHub. It has been mentiond 22 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.

DoltHub mentions (6)

  • Historical Daily Stock Data for NYSE and NASDAQ
    There are other ways to share this data other than CSVs on GitHub. Kaggle has been mentioned here in the past. There's also dolthub.com where you can make the data available as a SQL queryable dataset. It's "Git for data". Might be nice to host it somewhere where answers to questions like "what was SPY's closing price on 2010-01-27" can be more easily obtained. Source: about 1 year ago
  • 8 reasons to version control your database
    The database world has been slow to follow. But it is getting there, TerminusDB is one database with version control features. There are others like Dolt, Planetscale, and Liquibase that extend the functionality of other databases. - Source: dev.to / about 2 years ago
  • Community Project : Open source financial data APIs
    Why not share the data with something like dolthub.com ? They have stock price, option price, and earnings databases. Source: about 2 years ago
  • Is there a place I can download sample databases to practice queries?
    Most of the data on dolthub.com is Creative Commons licensed so use it as you'd like. Source: over 2 years ago
  • Is there a place I can download sample databases to practice queries?
    Just looked up dolthub.com, what does it do exactly? Source: over 2 years ago
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neptune.ai mentions (22)

  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Neptune.ai - Log, store, display, organize, compare, and query all your MLOps metadata. Free for individuals: 1 member, 100 GB of metadata storage, 200h of monitoring/month. - Source: dev.to / 3 months ago
  • Show HN: A gallery of dev tool marketing examples
    Hi I am Jakub. I run marketing at a dev tool startup https://neptune.ai/ and I share learnings on dev tool marketing on my blog https://www.developermarkepear.com/. Whenever I'd start a new marketing project I found myself going over a list of 20+ companies I knew could have done something well to “copy-paste” their approach as a baseline (think Tailscale, DigitalOCean, Vercel, Algolia, CircleCi, Supabase,... - Source: Hacker News / 7 months ago
  • How to structure/manage a machine learning experiment? (medical imaging)
    There are a lot of tools out there for experiment tracking (eg neptune.ai), but I'm really not sure whether that sort of thing is over the top for what I need to do. Source: 8 months ago
  • How to grow a developer blog to 3M annual visitors? with Jakub Czakon (Neptune.ai)
    Welcome to another episode of The Developer-led Podcast, where we dive into the strategies modern companies use to build and grow their developer tools. In this exciting episode, we're joined by Jakub Czakon, the CMO at Neptune.ai, a startup that assists developers in efficiently managing their machine-learning model data. Jakub is renowned not only for his role at Neptune.ai but also for his developer marketing... - Source: dev.to / 8 months ago
  • [D] Is there any all in one deep learning platform or software
    Tbh I have done a pretty good search on this topic, I couldn't find any. I thought maybe community could help me find one, if people like you (who works at neptune.ai) have the same opinion then it is what it is :). Anyway thank you for the suggestions that you gave, probably gonna use that. Source: 10 months ago
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What are some alternatives?

When comparing DoltHub and neptune.ai, you can also consider the following products

Activeloop - Data lake for machine and deep learning. The fastest dataset management tool for computer vision.

Comet.ml - Comet lets you track code, experiments, and results on ML projects. It’s fast, simple, and free for open source projects.

Pachyderm - Pachyderm is an open source analytics engine that uses Docker containers for distributed computations.

Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.

Iterative.ai - Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.

Weights & Biases - Developer tools for deep learning research