Exclusive Webinar Series
Beyond Hadoop 2026

Run every data and AI workload where your data already lives, with xLake. No migration required.

Thursdays · 20 August and 3 September 2026

12:30 UK · 13:30 CET · 15:30 Gulf

30 Minutes, Live

Why you should attend

No migration required. 98% of existing Spark applications run unmodified. Workloads move in hours, not weeks of re-architecture.

Your data never leaves your perimeter. Compute runs inside your own VPC over an outbound-only connection, with zero vendor access and your compliance posture unchanged.

Cut infrastructure TCO by 35 to 45%. By scaling compute and storage independently instead of paying for them together.

Cut storage cost by 50 to 65%. Object storage durability in place of HDFS triple replication.

One control plane, every environment. Schedule and run across on-premises, AWS, Azure and GCP from one place, instead of three platforms with three operating models.

This webinar is for teams who need analytics and AI running across their whole estate, on-premises and in every cloud, without a multi-year migration first. If your priority is cutting the cost of the Hadoop you run today, join our other track: Modernising Hadoop →

What you'll take away

Why your data doesn't need to move

A split-plane architecture that runs compute in your environment and leaves your data where it is.

Sovereignty by design

Residency and compliance requirements met by architecture rather than by exception. All data and all compute stay inside your perimeter.

Your existing workloads, unchanged

Spark, Trino, Jupyter and Airflow running natively, each with its own right-sized cluster instead of one shared for everything.

Governance that travels

One policy model enforced across every environment, built on Apache Ranger, Keycloak and role-based access control.

Open formats, no lock-in

Iceberg, Delta, Parquet and ORC, with HDFS and ODP as catalog sources. No proprietary runtime, no locked-in formats.

What AI actually needs from your data layer

Workload-specific compute for training and inference, and what to fix before agents go anywhere near production.

The numbers enterprises are seeing

35-45%

lower infrastructure TCO

50-65%

saved on storage

98%

of Spark applications run
without modification

99.9%

SLA adherence in production

Want the detail before you join?
Explore the xLake architecture →

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Figures reflect Acceldata's work with customers and are illustrative. Actual results depend on your environment and workloads. All trademarks belong to their respective owners.

Exclusive Webinar SeriesBeyond Hadoop 2026