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About Lentiq

Lentiq is a multi-cloud data lake as a service from Lentiq that provides analytics and data science capabilities for data teams and businesses of every size. It offers multi-cloud support, Jupyter as a Service, Spark as a Service, data pools, and data management so users can easily manage and analyze large datasets across various environments. With Lentiq, teams can use capable data tools without the need for extensive infrastructure. This allows for better collaboration and informed decision-making based on comprehensive data insights. Key capabilities: multi-cloud support Jupyter as a Service Spark as a Service data pools data management Best for: data teams and organizations that need scalable solutions for data analytics and management.

Lentiq Details

Vendor
Lentiq
Year Launched
2019
Location
Primary Chicago, Illinois 60606, US
Deployment
cloud
Training Options
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian, Portuguese
Users
Data Scientists, Data Engineers, Business Analysts & Executives, Software Developers, Consultancy Companies
Industries Served
Technology, Finance, Healthcare, Retail, E-commerce, Gaming, Telecommunications, Manufacturing
Tags
Data lake, Machine learning, Data science, Multi-cloud, Real-time data processing, Apache Spark, Jupyter Notebooks, Collaboration, AI/ML pipelines, Data management

Lentiq's In-App Market Place

Does Lentiq have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), CNY (¥), AUD ($), CAD ($), INR (₹), RUB (₽), BRL (R$)

Pros & Cons

  • Multi-Cloud Flexibility: Manage data across multiple clouds.
  • User-Friendly Interface: Easy setup and data analysis.
  • Real-Time Processing: Process data as it arrives.
  • Seamless Jupyter Integration: Write and execute code in Jupyter.
  • Collaborative Workflows: Share data, models, and notebooks.
  • Machine Learning Pipeline Support: Build and deploy ML models.
  • Scalability: Automatically scale resources for efficient processing.
  • Limited Advanced Customization: May not suit highly specific needs.
  • Cloud Dependency: Relies on cloud infrastructure.
  • Cost Considerations: Multi-cloud and real-time processing can increase costs.
  • Learning Curve: Some users may need time to adapt.

Lentiq's Support Options

Email Address

hello@lentiq.com

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