Overview

Modern enterprises face challenges with fragmented data systems, slow decision-making, and complex infrastructure management. Our Snowflake cloud services provide a single, integrated platform to unify structured and semi-structured data, eliminate data silos, and support real-time analytics.

As a Select Snowflake Partner, TO THE NEW offers comprehensive services across architecture design, data engineering, and managed operations. Whether you're migrating from legacy systems or building AI-driven applications, our certified Snowflake experts deliver secure, cost-efficient, and high-performance solutions aligned with your business goals. Our cloud-native architecture + deep knowledge of Snowflake’s ecosystem, enables faster time-to-insight and better business decisions.

  • 20% faster implementation with proprietary data lake accelerators
  • 30+ enterprise data lake deployments (AWS/Azure/GCP)
  • 50+ Snowflake & cloud-certified professionals

Companies that trust us

  • ally
  • special
  • jupiter
  • vertex
  • hbf
  • amp
  • scprita

Our services

Comprehensive Salesforce offerings designed to future-proof your business with agility and intelligence.

Utilize the full potential of your data with a clear, actionable roadmap. We assess your data maturity, identify high-impact use cases, and prioritize initiatives to maximize business value and align Snowflake cloud solutions seamlessly with your long-term vision.

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Design future-proof cloud data platform architectures on AWS/Azure/GCP with decoupled storage/compute, data governance frameworks, and ROI-driven roadmaps. Tailored to your unique enterprise workloads, our Snowflake cloud services ensure elasticity and efficiency.

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Design and implement end-to-end data engineering platforms on Snowflake from the ground up, covering data modeling, ETL/ELT pipelines, performance tuning, and automation to power analytics at scale.

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Migrate structured and semi-structured data from on-premise or legacy cloud systems to Snowflake with minimal downtime and zero data loss.

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Utilize Snowpark and external functions to train, deploy, and monitor ML models natively within Snowflake. Our Snowflake professional services integrate model workflows into your existing data pipelines for faster experimentation and deployment.

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24/7 monitoring, backup/disaster recovery, and SLA-driven management for Snowflake data clouds.

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Eradicate data silos and build a truly unified data landscape. We connect disparate data sources with Snowflake using best-in-class tools and APIs. Our approach streamlines both batch and real-time data ingestion, leveraging native connectors and a rich partner ecosystem.

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Our expertise

Cloud-native design

Terraform-based provisioning across AWS, Azure, and GCP with reusable modules for speed and scale

Expertise

Unified security

Role-based access controls, dynamic masking, and PrivateLink for secure, compliant Snowflake environment

Expertise

Advanced analytics

Enable real-time dashboards, NLP pipelines, and ML ops with Snowpark and integrated analytics tools

Expertise

Cross-cloud data sharing

Use Snowflake reader accounts for secure, real-time data sharing across regions and cloud platforms

Expertise

Performance & speed

Auto-scale virtual warehouses to improve query execution, reduce latency, and ensure faster time-to-insight

Expertise

Ready to modernize your data foundation?

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Industries we serve

Our industry-specific Snowflake solutions that drive innovation, agility, and data-led decisions.
Healthcare
Healthcare

Enable HIPAA-compliant data lakes integrating EHRs, clinical records, and patient-facing platforms

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bank
Banking & financial services

Leverage Snowflake’s secure data sharing and governance for faster decisions and regulatory reporting

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Tech

Case studies

Transforming enterprises with Snowflake - real stories of measurable business impact
  • 92 seconds

    process times, reduced from 1 hour, boosting portal performance

  • 40x

    larger data volumes handled seamlessly, ensuring scalability and consistent system performance

  • Tech used
    Tableu face
  • Empowered

    self-service reporting for business teams using Tableau

  • Modernized

    data architecture, enabling data-driven decisions

  • Tech used
    snowflake face
  • Zero

    application downtime with 24×7 SRE support

  • Enabled

    real-time business reporting through Snowflake-powered dashboards

  • Tech used
    dbt face
scripta

Enhanced cost savings for Scripta Insights through a robust dashboarding solution and scalable architecture

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Streamlined and modernized data architecture for Australia’s leading health insurer with a scalable and unified data model strategy

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Modernizing AMP Capital's data management using Snowflake

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Our Snowflake certification

Recognized Snowflake partner for reliable, scalable, and secure data transformation.

Our insights

Stay ahead with the latest industry trends, our thought leadership and perspective.

Latest from our blog

Fresh perspectives, straight from our experts. Stay updated with the latest industry trends.

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Blog post

Implementing configurable SMART on FHIR authentication with Node.js

Blog post

Understanding service worker caching

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How SSAI is shaping the future of video monetization

Why partner with us?

Trusted by enterprises for fast, secure, and scalable Snowflake solutions
  • As a Snowflake Select Partner we bring proven expertise and direct support for faster, more reliable implementations

  • AI-driven innovation to uncover untapped opportunities and drive competitive growth, tailored to your enterprise goals

  • Proprietary accelerators for faster time-to-market and migration efficiency

  • Dedicated Snowflake Center of Excellence (CoE) with certified architects and engineers

  • Unify your structured, semi-structured, and unstructured data in one scalable platform , eliminating silos

FAQs

What are the benefits of using Snowflake for data warehousing?

Snowflake offers a cloud-native, scalable, and cost-efficient data warehousing solution. It enables real-time analytics, separates storage and compute for flexible pricing, and supports structured and semi-structured data.

How does Snowflake migration work and how long does it take?

Snowflake migration involves moving data, schemas, and ETL pipelines from your legacy warehouse (like Redshift or Teradata) to Snowflake. Our phased approach - Discovery, Assessment, Migration, Validation, and Optimization - ensures a low-risk, high-impact transition to Snowflake with minimal disruption to business operations.

Do you offer post-implementation support?

Yes, we provide end-to-end post-implementation support through our Snowflake Managed Services. This includes platform monitoring, query performance tuning, cost optimization, data pipeline maintenance, and governance enforcement.

What’s your approach to data security in Snowflake?

Security and compliance are central to our Snowflake service delivery. We implement enterprise-grade security controls including Role-Based Access Control (RBAC), row- and column-level security, dynamic data masking, and column-level encryption. Our architecture ensures compliance with regulatory frameworks such as HIPAA, GDPR, and SOC 2.

What is the cost model of Snowflake and how can you optimize it?

Snowflake uses a consumption-based pricing model. We help optimize costs through warehouse sizing, query tuning, auto-suspend features, and resource monitoring dashboards.