Give object storage a system of record.

Varve reads object metadata and activity signals to identify datasets in your storage: who owns them, how they're used, what they cost, and what can safely change.

Read-only. Metadata, never contents.

In active development and private preview with selected design partners. Not generally available yet.

s3://acme-prod-analytics-7743

lake/raw/events/dt=2026-02-01/part-00007.snappy.parquetlake/raw/events/dt=2026-02-02/part-00031.snappy.parquetlake/raw/events/dt=2026-02-03/part-00094.snappy.parquet + 234,973 more objects
Varve discovery engine metadata scan
events dataset
Named-key partitioned · Hive-style
Size 234,976 objects · 63 TB Avg size 283 MB / object Access read 2mo ago by etl-worker Cost $1,605 / mo · safe to tier Tags domain events owner analytics zone raw

What it is

After a few years, most teams can list the objects in storage but not explain the datasets.

S3 Inventory lists objects. Access logs show activity. Neither tells you which objects form a dataset, when that dataset landed, who is accountable for it, or what might break if you move it.

The system has objects, but the organization thinks in datasets.

Varve turns those signals into an owned record of the datasets in your storage: something teams can inspect, govern, and safely change.

Who's building Varve

Sagi Bashari

Founder, Varve

Varve is built by Sagi Bashari, former CTO of MyHeritage, where for over a decade he led the company's AWS migration and built the distributed batch-processing systems behind its matching and discovery technologies, scaling them to 39 billion+ records. After years of operating sprawling storage estates at that scale, Varve is the product he wanted.

Recent writing

Private preview

Get involved early

Varve's commercial product is in active development and private preview with a small group of design partners. It is not generally available yet. You can apply as a design partner or follow product progress.

Become a design partner

Running a large, multi-team object-storage estate? Work with us on real findings from your buckets and help shape how Varve identifies datasets, owners, cost, and what can move, expire, or stay.

Apply as a design partner

Get product updates

Not a fit yet, or not ready? Leave your details and we'll keep you posted as we make progress and let you know when Varve is ready for customers.

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