Sold by: ActiveloopÂ
Overview
Activeloop Deep Lake streamlines deep learning dataset management at scale. Deep Lake maintains the benefits of a vanilla data lake, such as time traveling, SQL queries, ingesting data with ACID transactions, and visualizing terabyte scale datasets for analytical workloads with one key difference. It enables the storage of complex data types such as image, video, audio data, annotations, or tabular data, as columns with native integration to deep learning frameworks.
As deep learning rapidly takes over traditional computational pipelines, storing datasets in a deep lake is becoming the de facto standard for shipping AI products fast. Deep Lake is optimized for cost efficient AI workflows. It allows rapid data streaming to deep learning frameworks over the network without sacrificing GPU utilization.
With Deep Lake, teams can build a solid data foundation and iterate fast on their AI products - without bottlenecks from low quality data, underutilized compute resources, and significant labor overhead required to build and maintain large amounts of data.
Deep Lake's features break down data silos, enable data driven decision making, improve operational efficiency, and reduce costs.
Highlights
- A scalable, efficient data storage system optimized for AI, built to power workloads on petabyte-scale complex multimodal data in a columnar format.
- In-browser visualization and rapid querying engine with the full support of multimodal data types.
- Native integration with deep learning frameworks and efficient streaming of data to models with full utilization of computing resources.
Details
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Delivery method
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Pricing
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Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
Growth | 1TB managed on Deep Lake | $495.00 |
Vendor refund policy
Full refund during production pilot period
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Delivery details
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By Activeloop
By Databricks, Inc.
By Singdata
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In Data Warehouses, Computer Vision
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In Databases & Analytics Platforms, ML Solutions, Data Analytics
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Data Storage Architecture
Columnar storage system designed for complex multimodal data types including images, videos, audio, annotations, and tabular data
Framework Integration
Native integration capabilities with deep learning frameworks enabling direct data streaming to machine learning models
Data Querying Capabilities
Supports SQL queries and provides in-browser visualization for analytical workloads across terabyte-scale datasets
Data Transaction Management
Implements ACID transactions with time traveling functionality for dataset versioning and management
Computational Resource Optimization
Enables efficient data streaming over network with full GPU utilization and minimal computational overhead
Data Platform Architecture
Unified platform integrating data engineering, analytics, business intelligence, data science, and machine learning on a single architecture
Open Source Foundation
Built on open source data projects with support for open standards and data formats
Lakehouse Infrastructure
Provides a common data management approach using a lakehouse architecture running on Amazon S3
Data Intelligence Engine
Advanced engine capable of interpreting organizational data context and enabling broad data access across teams
Collaborative Workflow
Native collaboration capabilities enabling cross-functional data and AI workflow integration
Data Platform Architecture
Unified lakehouse architecture supporting storage, analytics, and AI workloads with native integration of batch, streaming, and interactive processing
Compute Engine
Incremental compute engine enabling real-time data processing and accelerated machine learning capabilities
Open Standards Compatibility
Built on open-source technologies and industry-standard data lake formats ensuring maximum interoperability and avoiding vendor lock-in
Cloud Infrastructure Integration
Native integration with Amazon S3 for scalable and flexible cloud-based data storage and processing
Governance Framework
Unified security and governance controls supporting comprehensive data management across diverse data and AI use cases
Standard contract
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