EndorsedendorsedOngoing

Databricks to Snowflake Data Platform Migration

Services Covered:

Data EngineeringCloud Consulting and ServicesCustom Software Development
Project hero — replace with case study imagery
Industry
Industry

Information Technology

Duration
Duration

35 months

Budget
Budget

200K - 999K

Client Size
Start Date

1 September 2023

Team Size
Team Size

1-5 Employees

Engagement Model
Engagement Model

Onshore

Project Capability Score (PCS)

gauge meter
80/100
Strong

Project Capability Score (PCS) estimates how capable inVerita is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS


Client

3dotstudio

mapLviv, Ukraine

Project Summary

inVerita led a phased migration of a software company's data platform from Databricks to Snowflake, optimizing data loading, restructuring raw data handling, and implementing streaming and CDC pipelines. The work reduced infrastructure costs, improved data access and governance, and prepared the platform for machine learning workloads.

Key Challenges

  • Reduce the cost and complexity of the data platform
  • Improve scalability and readiness for advanced analytics and machine learning workloads

Project Deliverables

  • Phased migration from Databricks to Snowflake as a centralized source of truth
  • Optimized data loading processes
  • Restructured raw data handling
  • Replaced third-party tools with native AWS services
  • Implemented streaming and CDC pipelines to support near-real-time analytics

Project Solution

inVerita executed a phased migration from a Databricks-based architecture to Snowflake, acting as the centralized source of truth. They optimized data loading, restructured how raw data was handled, replaced third-party tools with native AWS services, and implemented streaming and CDC pipelines to enable near-real-time analytics and support future machine learning use cases.

Project Outcome

  • Snowflake usage was optimized by up to 70%, significantly reducing infrastructure costs
  • Improved data access across teams and more reliable governance
  • Platform prepared for machine learning use cases; project delivered with clear communication and adherence to timelines

Platforms

  • CloudCloud

Tech Stack

  • Amazon Web Services (AWS)Amazon Web Services (AWS)
  • Snowflake Data CloudSnowflake Data Cloud

Client Endorsement

Overall Review Rating

5star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

Thanks to inVerita's efforts, the client has optimized their Snowflake usage by 70%, reduced infrastructure costs, improved data access, and made their platform ready for machine learning use cases. The team is well-structured, transparent, communicative, and proactive in identifying risks.

Roman Lozynskyy

Data & Analytcs Strategist

Note: This endorsement is based on publicly available client feedback from external review sources.

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