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Automated Scaling Is Here for Exasol SaaS: Effortless Speed, On Demand

Madeleine Corneli
· · 2 mins read

Today, we’re thrilled to announce automated scaling in Exasol SaaS—your database just got a whole lot smarter.

Whether you’re running complex analytics, feeding AI models, or supporting a global dashboard fleet, workloads don’t wait—and now, you don’t have to either. With autoscaling, you can dynamically and transparently add compute capacity when you need it and scale back down when you don’t. No more bottlenecks. No more overprovisioning. Just seamless performance.

What Automated Scaling Does

When your primary Saas cluster is reaching its limit, you can dynamically add additional worker clusters. Existing session will be re-distributed across the additional notes on the fly and transparently, maintaining performance continuity and workload balance. You don’t have to lift a finger – no re-connect is necessary, no re-configuring of your database clients.

And once your peak workload has subsided, you can remove the worker cluster and all existing sessions are moved back to the main cluster without any disruption. This isn’t just horizontal scaling—it’s smart session mobility.

Real-World Examples

Peak-Time Reporting Chaos? Not Anymore.

It’s Monday morning and your business intelligence team just kicked off their weekly reports. Normally, this spikes resource use and slows everything down. Now? You can just add additional worker clusters, maintaining dashboard load and response time — even if hundreds of users hit the system at once

AI Model Inference Overload? Bring It On.

Your data science team just pushed a batch of machine learning jobs to production. Each one triggers dozens of complex joins and aggregations. Instead of timing out or queueing, Exasol can scale elastically, offloading sessions to a secondary cluster, so your AI pipeline flows without friction.

Global Marketing Campaign? Let It Fly.

Launching a campaign across time zones? You can scale the Exasol database as traffic rises, then gracefully scale down overnight—saving money without sacrificing performance.

Why It Matters

  • Dynamic performance: Meet demand spikes without pre-provisioning
  • Effortless operations: No tuning, no manual scaling—just results
  • Cost control: Only pay for what you use, when you use it

Learn More or Try It Now

Automated scaling is enabled by default in Exasol SaaS. You can monitor and manage clusters through the UI or API.

Want the technical deep dive?
Check out the docs on session offloading and session movement.

Or better yet, sign up and throw your biggest workload at it. We’re ready.

Product
Madeleine Corneli
Madeleine Corneli

Madeleine Corneli leads product development for AI and ML at Exasol. She is focused on unlocking critical AI and ML use cases for customers and expanding Exasol’s suite of capabilities. She focuses on classic machine learning and generative AI applications across all industries. Madeleine has considerable experience in the analytics space and understands deeply how data can help empower people and solve problems.