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Description
BilberryDB is a robust vector-database solution tailored for enterprises, aimed at facilitating the development of AI applications that can manage various types of multimodal data, such as images, video, audio, 3D models, tabular data, and text, all within a single unified framework. It delivers rapid similarity search and retrieval through the use of embeddings, supports few-shot or no-code workflows that empower users to establish effective search and classification functionalities without the necessity for extensive labeled datasets, and provides a developer SDK, including TypeScript, alongside a visual builder to assist non-technical users. The platform prioritizes quick query responses in under a second, enabling the effortless integration of different data types and the swift launch of apps enhanced with vector-search capabilities ("Deploy as an App"), allowing organizations to develop AI-powered systems for search, recommendations, classification, or content discovery without the need to construct their own infrastructure from the ground up. Furthermore, its comprehensive features make it an ideal choice for companies looking to leverage AI technology efficiently and effectively.
Description
Deeplake is an AI data runtime and GPU database built for teams developing agents, RAG systems, multimodal applications, robotics workflows, and generative media products. It is designed to solve the gap between GPU-powered AI models and CPU-bound data systems by keeping data closer to where AI workloads execute. The platform supports serverless Postgres, vector search, multimodal data storage, analytical workloads, and AI-optimized data lake functionality. Deeplake helps agents remember, retrieve, and act in fast cycles, making it useful for systems that need repeated context retrieval across long-running tasks. It can manage complex data such as video, images, point clouds, sensors, PDFs, audio, embeddings, model weights, and structured records. Developers can use familiar database concepts while gaining support for GPU-speed retrieval and scalable AI data operations. The platform is positioned for production-grade AI use cases where agents may generate databases, query thousands of times, and require faster memory access. Deeplake also supports private deployment patterns, including VPC environments, so organizations can keep sensitive data within their own infrastructure. With open-source adoption, enterprise security credentials, and a focus on agentic workloads, Deeplake helps AI teams build faster and more efficient data systems.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Activeloop
No
Amazon SageMaker
No
Amazon Web Services (AWS)
No
ChatGPT
No
Google Cloud Platform
No
Jupyter Notebook
No
LangChain
No
OpenAI
No
PyTorch
No
TensorFlow
No
Integrations
Activeloop
Yes
Amazon SageMaker
Yes
Amazon Web Services (AWS)
Yes
ChatGPT
Yes
Google Cloud Platform
Yes
Jupyter Notebook
Yes
LangChain
Yes
OpenAI
Yes
PyTorch
Yes
TensorFlow
Yes
Pricing Details
Free
Free Trial
Yes
Free Version
Yes
Pricing Details
$0
Usage-based
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
BilberryDB
Founded
2016
Country
France
Website
bilberrydb.com
Vendor Details
Company Name
Activeloop
Founded
2018
Country
United States
Website
deeplake.ai/