Author: Turboline

Our mission is to empower businesses by simplifying data access and movement through intelligent, AI-driven solutions.
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
March 14, 2024

The Key to Successful M&A: Rapid Data Integration

Mergers and acquisitions (M&A) are becoming increasingly common as companies look to grow and expand into new markets. However, research
March 1, 2024

Simplify Your Data Integration Logic Using Natural Language

Data integration is a crucial but often complex task for many developers and data scientists. Pulling data from various sources,

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