Shrink cloud costs for really big data

Granica Crunch is the world’s only data lake compression service. It helps data teams significantly improve their cloud data lake storage efficiency to shrink costs by up to 80%, each and every month.

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Shrink data lake storage costs

Lower your unit economics to store data by efficiently compressing training data files and optimizing data lifecycle policies, translating to over $1.3M in annual savings per 10 petabytes.

Shrink data lake replication costs

Slash cross-region data transfer cost and time by up to 80% by efficiently compressing files and objects over the wire.

Only pay when you save

Pay us a small % of realized savings and apply the majority directly to the bottom line and/or bring more training data, compute or other resources to improve AI outcomes.

Harness data lake efficiency for AI ROI

Granica Crunch optimizes cloud data lake storage costs via advanced compression algorithms which persist data as efficiently as possible, paired with real-time decompression upon access. Monthly savings are yours to use as you wish, whether for investing in strategic AI initiatives or simply applying straight to the bottom line. Crunch is optimized for multi-modal training files and other high volume data sets.

Shrink data lake at-rest costs up to 80%

Losslessly compress petabyte-scale training data sets in your cloud data lake buckets, and maintain fast read access.

Shrink data lake replication costs up to 80%

Losslessly compress and replicate files across regions for efficient compliance, recovery, and analytics uses.

Shrink data lake ops costs up to 90%

Intelligently batch and cache data access operations to minimize the number of paid GETs and PUTs for read and write-intensive applications.

Pay only when you save

Pay Granica a percentage of your actual savings - if no savings then no bill. Move fast by eliminating financial risk.

Data types supported

Clickstream/Logs, Tabular, LiDAR, Image, and everything in between

Granica Chronicle AI supports any and all file types in your data lake.

Clickstream/Logs

Tabular

LiDAR

Image

Flatten your cloud cost curve

Reduce your unit economics cost to store data while avoiding the performance, availability, and highly variable read cost penalties associated with tiering and archival. Capture recurring savings relative to your native baseline each and every month, not just one-time. 10 petabytes of data typically translates into >$1.3M per year of cash savings, scaling as your data grows.

Lower your storage unit economics.
Lower your storage unit economics.
Get >$1.3M annual savings per 10 PB (typically).

Frequently Asked Questions:

How much cost reduction does Granica Crunch typically deliver?

Granica Crunch reduces training data-related storage and access costs typically by 25-60% depending on your file types and access patterns. If you’re storing 10 petabytes of training data in your cloud data lake that translates into >$1.3M per year (growing as your data grows) assuming a 50% compression rate.

Does Granica Crunch affect read/write latency?

Granica Crunch is extremely fast, adding only ~0-100ms of latency (~0ms for read cache hits), and delivers sustained throughput of up to 1.5 GB/s (not Gbps) per node for transparent access to your training data.

How does Granica Crunch compare to alternatives?

AI data is hot data, and Granica Crunch delivers the savings efficiencies you need without the trade-offs: (1) Vs. DIY compression: Granica Crunch removes data pipeline complexity, risk, and latency/throughput challenges. (2) Vs. archival and tiering to cooler/colder classes: Granica Crunch enables training data to remain instantly accessible and highly available, with no data access charges.