Delta Sharing: the new standard for secure and flexible data exchange?

Delta Sharing is an open protocol for exchanging live data from the lakehouse – without copies, without media breaks. Learn when it pays off and what to watch for in governance.

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Adrian Bourcevet

Adrian Bourcevet

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In an increasingly networked world, data is the backbone of reliable decisions. Yet classic data-exchange methods often hit limits: exports, FTP, repeated copies into other clouds or tools – slow, error-prone and hard to govern. Delta Sharing addresses exactly this problem: it enables access to live data from the lakehouse without duplicating or physically moving data.

Why we must share data differently today

Teams need the same facts – but not necessarily the same platform. Marketing may work in a BI tool, partners in their own cloud, research with Python and Spark. When every group pulls its own copy, versioning, latency and compliance risks appear.

Modern data strategies therefore rely on zero-copy principles: data stays in one place with clear governance; permissions and metadata control who sees what. Delta Sharing is a building block in exactly this logic – complementary to topics we explore more deeply in Why are you still copying data when you could share it?.

What is Delta Sharing?

Delta Sharing is an open protocol for secure data exchange, initiated by Databricks and now supported by a growing ecosystem. Core idea: a provider offers tables, views or entire volumes via a standardised interface; recipients consume the data with their familiar tools – SQL clients, notebooks or compliant connectors – without first copying raw data into a second system.

Technically, Delta Lake is often at the centre (open storage format on object storage). Access control and logging can be mapped via Unity Catalog and organisation-specific policies – so it remains clear who accessed which shared objects when.

Typical scenarios

  • Groups & subsidiaries: Central data ownership, decentralised analysis – without repeated batch exports.
  • Ecosystem & partners: Controlled access for suppliers, consultancies or joint projects with time-limited grants.
  • Self-service & data products: “Data as a product” with clearly documented shares instead of undocumented file drops.
  • Multi-cloud: Fewer point-to-point copies when recipients work in other environments.

Advantages at a glance

  • Fewer copies: Less storage, fewer inconsistencies, less ETL maintenance.
  • Freshness: Recipients work against current shared objects – no outdated “yesterday’s snapshot”.
  • Governance: Central policies, auditability and integration into the catalog workflow.
  • Openness: Connection via documented interfaces instead of proprietary islands (check the concrete connector landscape per vendor and version).

What to consider when introducing it

Mehr Daten lösen kein kaputtes Entscheidungssystem.

Wir bauen die Entscheidungsarchitektur, mit der Führung wieder klar, belastbar und umsetzungsstark entscheidet.

Organisation: Clarify data ownership, release processes and contractual foundations (also with external partners) before you technically “open up”.

Security & compliance: Delta Sharing does not replace privacy or industry requirements – encryption, network paths and role models must fit your risk profile.

Performance & cost: Live access means recipient workloads can load your infrastructure or trigger egress. Plan budget and monitoring.

Skills: Operations, security and business areas should jointly understand what a share is – and what it is not (e.g. no substitute for a full data-contract package without a domain definition).

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Über den Autor

Adrian Bourcevet

Adrian Bourcevet

Experte für Analytics, Daten und KI. Unterstützt Unternehmen dabei, aus Daten wertvolle Erkenntnisse zu gewinnen.

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