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    Deep Lake

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    Sold by: Activeloop 
    Deployed on AWS
    Free Trial
    AWS Free Tier
    Data lake for Deep Learning. Start now free production pilot.

    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

    Delivery method

    Deployed on AWS
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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.
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    1-month contract (1)

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    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

    Software as a Service (SaaS)

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    Product comparison

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    Updated weekly
    By Activeloop

    Accolades

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    Top
    50
    In Data Warehouses, Computer Vision
    Top
    10
    In Databases & Analytics Platforms, ML Solutions, Data Analytics
    Top
    25
    In Data Analysis

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    Overview

     Info
    AI generated from product descriptions
    Columnar Data Storage Format
    Scalable data storage system utilizing columnar format optimized for AI workloads on petabyte-scale complex multimodal data including images, videos, audio, annotations, and tabular data.
    Native Deep Learning Framework Integration
    Native integration with deep learning frameworks enabling efficient data streaming to models with full GPU utilization and rapid data ingestion without network bottlenecks.
    In-Browser Visualization and Query Engine
    In-browser visualization capabilities with rapid querying engine providing full support for multimodal data types at terabyte scale.
    ACID Transaction Support
    Data ingestion with ACID transactions and time traveling capabilities maintaining data lake benefits for complex dataset management.
    Cost-Optimized AI Workflows
    System architecture designed for cost-efficient AI workflows reducing computational overhead and labor requirements for large-scale dataset management and maintenance.
    Lakehouse Architecture
    Built on a lakehouse foundation providing unified data storage and governance across data engineering, analytics, BI, data science, and machine learning workloads
    Open Source Integration
    Constructed on open source data projects and open standards to maximize flexibility and interoperability across the data ecosystem
    Data Intelligence Engine
    Powered by a Data Intelligence Engine that enables organizational access to data and insights across diverse user roles and technical skill levels
    Unified Data Platform
    Consolidates data, analytics, and AI workloads on a single common platform running on Amazon S3, eliminating traditional data silos
    Collaborative Capabilities
    Provides native collaboration features enabling data teams to work together across the entire data and AI workflow
    Unified Lakehouse Architecture
    Fully managed lakehouse platform integrating data storage, analytics, and AI workflows on a single unified platform
    Incremental Compute Engine
    Real-time incremental compute capabilities enabling faster model iteration and scalable experimentation
    Open Standards Support
    Built on open-source technologies and industry-leading open formats with native support for data lake standards
    Multi-Workload Integration
    Seamless integration of batch, streaming, and interactive workloads eliminating traditional data silos
    Unified Governance and Security
    Centralized governance and security controls across all data and AI use cases with vendor-agnostic architecture

    Contract

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    Standard contract
    No

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