Software Alternatives & Startups

SAP PLM VS Activeloop

Compare SAP PLM VS Activeloop and see what are their differences

SAP PLM

SAP Product Lifecycle Management (SAP PLM) application provides you with a 360-degree-support for all product-related processes - from the first product idea, through manufacturing to product service.

Rating
0 reviews
Activeloop

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

Rating
0 reviews
Pricing
Open source $450 / Monthly (Growth Plan for up to 10 users)
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.

Which is more popular?

Based on our record, Activeloop seems to be more popular. It has been mentioned 4 times since March 2021.

social mentions
0 vs 4
Office & Productivity popularity
100% vs 0%
alternatives listed
107 vs 5

Base details

Website, pricing, platforms and company facts side by side.

SAP PLM
Activeloop
Website psapps-pswiki.cfapps.sap.hana.ondemand.com activeloop.ai
Pricing —
Open source $450 / Monthly (Growth Plan for up to 10 users) Official pricing
Platforms —
AWS GCP Python
Company Startup from Germany 2019
Listed in

About SAP PLM and Activeloop

In their own words, as submitted to SaaSHub.

SAP PLM
Activeloop

No description of SAP PLM yet.

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,...

Read more about Activeloop

Features and specs

What each product offers, as listed by its team.

SAP PLM 5 features
Activeloop 0 features
  • Comprehensive Integration
    SAP PLM offers seamless integration with other SAP modules such as SAP ERP, SAP SCM, and SAP CRM, facilitating a holistic approach to product lifecycle management.
  • Real-Time Data Access
    The platform provides real-time data access and analytics, enabling improved decision-making across the product lifecycle.
  • Customizability
    SAP PLM is highly customizable to meet the specific needs of different industries and business processes.
  • Regulatory Compliance
    SAP PLM includes various tools to ensure compliance with industry standards and regulatory requirements, reducing the risk of non-compliance.
  • Comprehensive Documentation
    The platform provides extensive documentation and a vast knowledge base, aiding in smoother implementation and user training.

Possible disadvantages

  • Complexity
    The system can be quite complex and may require significant time and resources to implement and manage effectively.
  • High Cost
    SAP PLM can be expensive, including the costs of licensing, implementation, customization, and ongoing maintenance.
  • Resource Intensive
    It often demands extensive technical expertise and dedicated resources for optimal operation, which can be a limitation for smaller organizations.
  • Steep Learning Curve
    Users may experience a steep learning curve, necessitating comprehensive training to fully utilize all features and functionalities.
  • Dependence on SAP Ecosystem
    Being tightly integrated with other SAP solutions, users may find themselves highly dependent on the SAP ecosystem, which might limit flexibility if considering third-party solutions.

No features have been listed yet.

Analysis

An editorial look at what each product does well and who it suits.

SAP PLM
Activeloop

No analysis of SAP PLM yet.

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

Videos

Walkthroughs and reviews on video.

SAP PLM 3 videos + Add
Activeloop 1 video + Add

Essentials of SAP PLM 7 01 Engineering BOM and Product Structure Synchronization Video Preview 26AP

More videos

  • - Fundamentals of SAP PLM 7 02 Video Preview 2012 01 24
  • - What you need to know before imple SAP PLM 7 0x Video Preview 2013 04 12

Activeloop Product Demo Video

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
SAP PLM
Activeloop
100% 100%
0% 0%
0% 0%
100% 100%
0% 0%
100% 100%

User comments

Share your experience with using SAP PLM and Activeloop. For example, how are they different and which one is better?

Log in or Post with

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

SAP PLM 0 mentions
Activeloop 4 mentions

Tracking SAP PLM since Mar 2021.

  • [P] I built a Chatbot to talk with any Github Repo. 🪄
    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... Source: over 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... Source: over 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... Source: over 4 years ago

View more

Alternatives to SAP PLM and Activeloop

When comparing SAP PLM and Activeloop, you can also consider the following products.