DataLab
Accelerate data preparation for ML, DL, and GenAI
DataLab streamlines data preparation for machine learning, deep learning, and generative AI with automated big data cleaning, an integrated data lakehouse, and one-click optimization. It also enables organizations to easily ingest, clean, and optimize vast amounts of data, reducing costs and complexity.
Why DataLab?
DataLab automatically optimizes all your infrastructure for cost and passes those savings on to you. Unlike most solutions, DataLab does not charge a multiple of usage or mark up infrastructure costs.
DataLab offers pre-built connectors to top data sources, both on-premises and in the cloud (e.g., SQL databases, Amazon S3, Google Cloud Storage). No matter the size or location, DataLab provides unified access to all your data in one place.
DataLab never manipulates data outside your established guardrails and privacy protocols. With advanced access control, data lineage tracking, and compliance with GDPR and HIPAA frameworks, DataLab meets the highest security standards.
Key capabilities
Easily ingest and clean disparate data, regardless of size and source
Streamline data preparation using automated big data cleaning pipelines
Use an integrated data lakehouse with data privacy, catalogs, and access control
Employ one-click optimization and deployment for data pipelines
Deploy cost- and latency-optimized data pipelines
Additional benefits
Connect to leading data sources
DataLab offers pre-built connectors to dozens of top data sources both on-prem and in the cloud. This includes Amazon S3, Azure Blob Storage, Google Cloud Storage, Snowflake, Databricks Lakehouse, SQL databases, NoSQL databases, HDFS, and more. No matter the size or location, DataLab provides unified access to all of your data in one place.
Full privacy, full control
All your data stays within your cloud environment. DataLab adheres to your security and privacy protocols with access controls, full data lineage, GDPR and HIPAA compliance, and GovCloud compatibility.
Reduce your data storage and processing costs
Stop overpaying incumbents for poorly optimized data storage and processing. Unlike traditional solutions with hidden fees and inefficiencies, DataLab delivers cost-optimized, high-performance data pipelines while passing the savings directly to you.
Feature highlights
Data preparation and enrichment
DataLab enables users to easily ingest and clean disparate data, regardless of size and source. It provides automated big data cleaning pipelines that facilitate efficient data preparation and enrichment, ensuring high-quality datasets for analysis and modeling.
Exploratory data analysis
With DataLab, users can explore their data through integrated data lakehouse capabilities, including data privacy, data catalogs, and access control. These features support comprehensive exploratory data analysis, allowing for a deeper understanding of data characteristics and relationships.
Visual flow
DataLab offers a visual flow interface that simplifies the design and management of data pipelines. This intuitive visual representation enhances user experience by making complex workflows more accessible and manageable.
Built-in data transformations
DataLab includes built-in data transformations that can be applied with a single click, optimizing and deploying data pipelines effortlessly. This feature streamlines the process of preparing data for various analytical and modeling tasks.
Specialized data preparation and annotation
DataLab supports specialized data preparation and annotation, accommodating the unique requirements of different AI applications.
Say goodbye to messy data and hello to clean, model-ready insights
See how DataLab turns data prep from a bottleneck into a breeze on a call with our team of experts today.
