Granica: Query Petabytes like Terabytes - AI Data Compression

Granica

3.5 | 7 | 0
Type:
Website
Last Updated:
2025/10/31
Description:
Granica uses AI-driven, lossless compression to shrink petabytes of data into terabytes, reducing storage costs and accelerating query performance across various data platforms like Snowflake, Databricks, and more.
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data compression
data lake optimization
AI data infrastructure
query performance
data storage

Overview of Granica

Granica: Query Petabytes Like Terabytes with AI-Powered Data Compression

What is Granica? Granica is an innovative data infrastructure solution designed for AI and analytics, offering self-optimizing, lossless compression that transforms petabytes of data into manageable terabytes. This powerful compression technology significantly reduces storage costs and accelerates query performance across various data platforms, including Iceberg, Delta, Trino, Spark, Snowflake, and Databricks. By leveraging advanced AI, Granica helps data-driven organizations unlock the full potential of their data while minimizing expenses and optimizing workflows.

Key Features and Benefits

  • Self-Optimizing, Lossless Compression: Granica's state-of-the-art compression technology ensures data integrity while significantly reducing storage footprint.
  • Cost Savings: Reduce Snowflake and Databricks bills by up to 50% by shrinking data volume without compromising data quality.
  • Accelerated Query Performance: Experience faster query speeds, allowing data scientists and analysts to gain insights more quickly.
  • Seamless Integration: Works with a variety of data lakes and platforms, including Iceberg, Delta, Trino, Spark, Snowflake, and BigQuery, without disruption.
  • Automatic Scaling: Granica auto-scales to meet changing data needs, ensuring consistent performance and cost optimization.
  • Enhanced Security: Offers SOC-2 Type 2 compliance, full audit logs, and ensures data remains within your cloud environment.

How does Granica work?

Granica’s entropy-aware compression algorithm analyzes data patterns and applies optimized compression techniques to reduce the data footprint by 45-80%. This is achieved without any code changes or downtime. The platform continuously learns from query patterns and data characteristics, dynamically adjusting compression strategies to maintain optimal performance and cost efficiency.

  1. Native & Transparent: Deploys directly inside your Virtual Private Cloud (VPC) with zero code changes.
  2. Continuously Adaptive: Learns from every query and data pattern, reshaping compression on the fly.
  3. Hands-off Orchestration: Set a cost-performance target once, and Granica auto-scales to maintain it.

Use Cases

  • Data Lake Optimization: Reduce the size of your data lake, improve query performance, and lower storage costs.
  • AI/ML Workloads: Accelerate model training and inference by providing faster access to compressed data.
  • Business Intelligence: Improve the speed and efficiency of your BI dashboards and reports.
  • Data Governance and Compliance: Ensure data security and compliance with full audit logs and SOC-2 Type 2 certification.

Who is Granica for?

Granica is designed for data engineers, data scientists, and business analysts who work with large datasets in cloud environments. It is particularly useful for organizations that:

  • Manage petabyte-scale data lakes.
  • Use cloud-based data platforms like Snowflake, Databricks, and BigQuery.
  • Require faster query performance and lower storage costs.
  • Are focused on AI and machine learning initiatives.

Customer Success Stories

Several leading organizations have successfully deployed Granica to optimize their data infrastructure. For example:

  • Crunch (Global Revenue-Intelligence SaaS): Halved their 20 PB data lake without any pipeline changes, resulting in significant cost savings.
  • Consumer Social-Media Unicorn: Achieved 50% storage savings on Delta Lake on GCP, with 2x faster and lower cost performance compared to Databricks' built-in optimize feature.
  • Fortune 500 Healthcare Provider: Reduced storage by 50% on BigQuery/Iceberg on GCP and lowered data transfer costs by 2x.

Granica and AI

Granica is built to support structured AI, turning any data lake into a self-optimizing data factory. Beyond compression, Granica is developing advanced subsampling and safe synthetic data solutions to further enhance AI workflows. The company is also engaged in fundamental research to advance the state-of-the-art in data for AI, turning exabyte-scale noise into real-time reasoning.

Pricing

Contact Granica for detailed pricing information. The company offers cost savings demonstrations to illustrate the potential ROI for your specific use case.

FAQs

What is Granica Crunch?

Granica Crunch is an advanced compression system for AI and analytics workloads.

How does Crunch integrate with my data stack?

Crunch integrates seamlessly with your existing data stack, requiring zero code changes.

Will Crunch speed up performance?

Yes, Crunch speeds up performance by reducing the amount of data that needs to be processed during queries.

Is Crunch secure and compliant?

Yes, Crunch is SOC-2 Type 2 compliant and provides full audit logs.

By implementing Granica, organizations can unlock significant cost savings, improve query performance, and streamline their data infrastructure for AI and analytics workloads. Its innovative approach to data compression and optimization makes it a valuable tool for any data-driven business.

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