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9 Spokes VS Activeloop

Compare 9 Spokes VS Activeloop and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

9 Spokes logo 9 Spokes

9 Spokes is a free data dashboard that connects your apps to identify powerful insights to deliver your business KPI's.

Activeloop logo Activeloop

Data lake for machine and deep learning. The fastest dataset management tool for computer vision.
  • 9 Spokes Landing page
    Landing page //
    2023-10-04
  • Activeloop Landing page
    Landing page //
    2021-09-20

About

Activeloop provides an optimized format for unstructured data, so users can stream their machine learning datasets while training ML models in PyTorch and TensorFlow. Activeloop acts as a data lake for deep learning on unstructured data and offers in-browser dataset visualization, querying, and version control. On top of those features, Activeloop integrates with experimentation and labeling tools to allow rapid iteration on computer vision datasets.

Activeloop supports the following use cases:

Machine Learning teams can apply Activeloop's data infrastructure to ship their models fast in the following use cases:

  1. AgriTech
  2. Audio processing
  3. Autonomous Vehicles & Robotics
  4. Biomedical and Healthcare ML
  5. Multimedia: Image enhancement, video enhancement, face detection, sports analytics, or machine learning for AR/VR
  6. Safety & Security: surveillance machine learning with biometrics, facial recognition, or crowd counting

9 Spokes

Website
9spokes.com
Pricing URL
Official 9 Spokes Pricing
$ Details
-
Platforms
-
Release Date
-
Edit details

Activeloop

Website
activeloop.ai
Pricing URL
Official Activeloop Pricing
$ Details
$450.0 / Monthly (Growth Plan for up to 10 users)
Platforms
AWS GCP Python
Release Date
2019 July
Edit details

9 Spokes features and specs

  • Comprehensive Business Dashboard
    9 Spokes provides a centralized dashboard that aggregates data from various business applications, offering a comprehensive view of business performance.
  • Application Integration
    The platform integrates with many popular business applications such as Xero, QuickBooks, and Google Analytics, which can simplify data management processes.
  • Data Insights
    9 Spokes offers insights and analytics derived from integrated application data, helping businesses make informed decisions.
  • User-Friendly Interface
    The platform has a clean and intuitive interface, making it accessible and easy to use for non-technical users.
  • Cloud-Based
    Being a cloud-based platform, 9 Spokes allows users to access their business data and dashboard from anywhere with an internet connection.

Possible disadvantages of 9 Spokes

  • Limited Customization
    The platform may offer limited customization options, which might not meet the unique needs of all businesses.
  • Integration Limitations
    Some users may find that not all desired applications are supported for integration, which could limit the platformโ€™s utility.
  • Learning Curve
    Although the interface is user-friendly, some users may still face a learning curve initially, especially when integrating multiple applications.
  • Subscription Costs
    The cost associated with subscribing to 9 Spokes could be a downside for small businesses on a tight budget.
  • Dependence on Internet Connectivity
    As a cloud-based platform, 9 Spokes relies on internet connectivity. Any outages or connectivity issues could disrupt access to critical business data.

Activeloop features and specs

No features have been listed yet.

Analysis of 9 Spokes

Overall verdict

  • 9 Spokes is generally considered a beneficial tool for SMEs looking to centralize their business data and gain clearer insights into their operations. Its intuitive design and comprehensive integrations make it a practical choice for business owners wanting to make informed decisions. However, some users may find the service less useful if they require advanced customization or have niche software needs.

Why this product is good

  • 9 Spokes is a business insights dashboard designed to help small and medium-sized enterprises (SMEs) track and analyze their business performance. It aggregates data from various business tools, providing a holistic view of key performance indicators (KPIs) across different areas like finance, sales, and marketing. Users praise its ability to integrate with a wide range of apps and provide actionable insights, making it easier to identify trends and opportunities for growth.

Recommended for

    9 Spokes is recommended for small to medium-sized business owners and managers who need an efficient and effective way to monitor their business metrics. It's especially useful for those who rely on multiple business applications and need a centralized platform to unify data and analytics without requiring complex IT support.

Analysis of Activeloop

Overall verdict

  • Activeloop is a solid choice for teams working with large-scale AI/ML datasets, particularly those involving unstructured data like images, video, and audio, offering a specialized data infrastructure (Deep Lake) that streamlines dataset versioning, storage, and streaming for machine learning workflows.

Why this product is good

  • Deep Lake format enables efficient storage and streaming of large unstructured datasets directly to ML training pipelines without full downloads
  • Built-in version control for datasets, similar to Git, making it easier to track changes and collaborate on data
  • Native integrations with popular ML frameworks like PyTorch and TensorFlow, plus support for vector search and LLM-based applications
  • Cloud-agnostic storage options allowing flexibility across AWS, GCP, and other providers
  • Strong focus on performance optimization for data loading, reducing bottlenecks in training large models
  • Growing ecosystem with support for multimodal data types, useful for computer vision and generative AI projects

Recommended for

  • ML engineers and data scientists working with large-scale image, video, or audio datasets
  • Teams building computer vision or multimodal AI applications
  • Organizations needing dataset version control integrated into their ML pipeline
  • Developers building retrieval-augmented generation (RAG) or LLM applications requiring vector storage
  • Startups and enterprises looking to optimize data loading performance for deep learning training
  • Teams seeking an alternative to traditional data lakes for AI-specific workloads

9 Spokes videos

+ Add

9 Spokes and Gigride - case study

More videos:

  • Review - 9 Spokes - How It Works
  • Review - Winning with large enterprise customers, the learnings โ€“ 9 Spokes

Activeloop videos

+ Add

Activeloop Product Demo Video

Category Popularity

0-100% (relative to 9 Spokes and Activeloop)

9 Spokes

Activeloop

Monitoring Tools
100 100%
Monitoring Tools
0% 0
Machine Learning
0 0%
Machine Learning
100% 100
Business & Commerce
100 100%
Business & Commerce
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using 9 Spokes and Activeloop. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Activeloop seems to be more popular. It has been mentiond 4 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.

9 Spokes mentions (0)

We have not tracked any mentions of 9 Spokes yet. Tracking of 9 Spokes recommendations started around Mar 2021.

Activeloop mentions (4)

  • [P] I built a Chatbot to talk with any Github Repo. ๐Ÿช„
    This repository contains two Python scripts that demonstrate how to create a chatbot using Streamlit, OpenAI GPT-3.5-turbo, and Activeloop's Deep Lake. The chatbot searches a dataset stored in Deep Lake to find relevant information and generates responses based on the user's input. Source: about 3 years ago
  • [D] NLP has HuggingFace, what does Computer Vision have?
    u/Remote_Cancel_7977 we just launched 100+ computer vision datasets via Activeloop Hub yesterday on r/ML (#1 post for the day!). Note: we do not intend to compete with HuggingFace (we're building the database for AI). Accessing computer vision datasets via Hub is much faster than via HuggingFace though, according to some third-party benchmarks. :). Source: about 4 years ago
  • [P] Database for AI: Visualize, version-control & explore image, video and audio datasets
    Hub, our open-source package, lets you stream datasets while training to PyTorch/TensorFlow. Check out how we achieved 95% GPU utilization while training on ImageNet at 50% less cost. We're building the Database for AI, with everything it should contain. If there's an adjacent feature that would make it more useful for your workflow, do let us know! Source: over 4 years ago
  • [P] Database for AI: Visualize, version-control & explore image, video and audio datasets
    I'm Davit from Activeloop (activeloop.ai). Source: over 4 years ago

What are some alternatives?

When comparing 9 Spokes and Activeloop, you can also consider the following products

Pepperdata - Pepperdata's software runs on existing Hadoop clusters to give operators predictability, capacity, and visibility for their Hadoop jobs.

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

Epsagon - Track costs and fix your serverless application.

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

LightStep - We deliver insights that put organizations back in control of their complex software apps.

Scale - Get human tasks done with just one line of code.

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