Author: Turboline

Our mission is to empower businesses by simplifying data access and movement through intelligent, AI-driven solutions.
April 20, 2025

Innovation Meets Education: The IIMS College and TurboLine.ai Collaboration for Global Competence

Institute of International Management Science (IIMS) College, established in 2010, is a premier institution in Nepal offering globally recognized undergraduate and
March 31, 2025

Bringing Turboline to Azure Through Our Microsoft ISV Partnership

Turboline is proud to be a Microsoft Independent Software Vendor (ISV) Partner, a designation that reflects our commitment to Microsoft ecosystem.
March 31, 2025

Our Trusted Partner: Silicon Technix Limited

We are proud to partner with Silicon Technix, a London-based website design and IT consultancy agency.

December 30, 2024

Turboline Hackathon: August 16-18, 2024

Our highly anticipated Hackathon took place from August 16 to 18, 2024, bringing together brilliant minds under the theme: AI
December 23, 2024

Optimizing NuGet Package Search Ranking: Key Insights and Strategies

NuGet is a critical platform for .NET developers to share and discover libraries, tools, and frameworks. With thousands of packages
August 11, 2024

AI-Based Data Transformation: A Comparison of LLM-Generated PySpark Code (Using Mistral & Google Gemini Advanced)

Mistral Le Chat Mistral’s Le Chat didn’t have the functionality to upload CSV files, so I couldn’t generate a transformation
May 22, 2024

AI-Based Data Transformation: Exploring Claude 3 Sonnet’s PySpark Code Generation

Welcome back to our ongoing series where we evaluate the performance of various large language models (LLMs) in generating PySpark
May 8, 2024

AI-Based Data Transformation: Llama-3-70B’s Take on PySpark Code

Welcome back to our comparative series where we dive into the performance of various large language models (LLMs) in generating
May 6, 2024

AI-Based Data Transformation: A Comparison of LLM-Generated PySpark Code (Using GPT-4)

Welcome to the first installment of our series comparing data transformation codes generated by various large language models (LLMs). In
April 17, 2024

How to write a good prompt to generate SQL query on ChatGPT?

Be clear and specific Make sure your prompt clearly conveys what you want the SQL code to do. Use specific

Turboline Product Pricing

Not sure about your datasource size? Click hereⓘ
Not sure about your datasource size? Click hereⓘ

Turboline Data studio SaaS version

Small Tier
$19.99
Medium Tier
$39.99
Large Tier
$74.99
Pricing applies to:
  • 5 TB of data for 30 days
  • Includes 5 TB of storage in the cloud
  • Access to all features of the cloud
Note:
  • 10 hours average maintenance @ $20 / hr
  • One time deployment fees: 2 developers and 1 Project Manager at $35/hr. 16 hours deployment time.

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Data Source Size Guide for Developers

Data Source Size Guide for Developers

If you can't see the image, here's a summary for developers:

  • Small: Up to 100GB, ideal for API testing and development environments
  • Medium: Up to 1TB, suitable for complex API integrations and data processing
  • Large: Up to 5TB, for enterprise-level API solutions and high-volume data processing
  • Enterprise: Unlimited data, custom API solutions with dedicated infrastructure

Data Source Size Guide for Analysts

Data Source Size Guide for Analysts

If you can't see the image, here's a summary for analysts:

  • Small: Up to 100GB, suitable for basic reporting and visualization needs
  • Medium: Up to 1TB, ideal for business intelligence and advanced analytics
  • Large: Up to 5TB, for complex data modeling and predictive analytics
  • Enterprise: Unlimited data, custom analytics solutions with AI/ML capabilities