Customer Story

Datylon serves 25,000+ users with collaborative data visualization

How a data visualization innovator got to market faster and built a platform that stands out in a crowded market.

Industry · Technology & Data Analytics

Datylon built its collaborative reporting platform on Akka to serve 25,000+ users across enterprises, asset managers, tech companies, and NGOs — democratizing data visualization so every stakeholder can create beautiful, insightful reports.

Akka ROI Scorecard

Speed to Production

Faster

to market — Akka enabled the team to ship quickly with less effort.

Cost to Operate

Less than

Tableau — delivering a better solution at significantly lower cost.

Scale

25K+

users served across enterprises, asset managers, tech companies, and NGOs.

Business outcome: a differentiated platform that stands out in a crowded data visualization market.

The Challenge

Most data visualization tools are challenging for non-data specialists. There isn’t an effective way for designers, business users, and other stakeholders to come together and quickly build customized, value-based reports. The market needed a collaborative platform that democratizes chart design without compromising on quality.

Datylon set out to solve this — enabling companies to embed reporting within their applications, automate report creation, and make beautiful data communication accessible to everyone, not just data specialists.

Why Akka

Datylon initially built on Java but moved to Akka because it is particularly well-suited for building highly concurrent, distributed, and scalable systems — all ideal for a collaborative reporting platform serving thousands of simultaneous users.

“Akka enabled us to get to market much more quickly,” says Erik Laurijssen, CEO. “Our team found the model easy to learn, and the community was an amazing resource we could turn to for questions or advice.”

Akka’s fault tolerance ensures high availability — failed components restart automatically. Its clustering capabilities support node discovery, load balancing, and data distribution across the infrastructure.

25K+
users creating collaborative data visualizations across enterprises, asset managers, and NGOs.

The Results

Speed to production. Got to market faster with less effort — the team focused on product differentiation while Akka handled concurrency and distribution.

Scale. 25,000+ users served across a diverse customer base including enterprises, asset managers, tech companies, and NGOs.

Cost to operate. Efficient resource utilization through non-blocking concurrency, handling thousands of concurrent tasks with minimal overhead.

Business impact. A truly differentiated data visualization platform that competes with established vendors at significantly lower cost.

The Agentic Opportunity

Automated reporting is a natural fit for agentic AI. On the Akka Agentic AI Platform, each reporting workflow becomes a governed agent that monitors data sources, detects meaningful changes, generates updated visualizations, and distributes reports to stakeholders automatically.

These reporting agents can coordinate across an organization — ensuring consistency in branding and data interpretation, detecting anomalies that warrant attention, and scheduling distribution based on stakeholder preferences. With event sourcing, every report generation and distribution decision is fully auditable. Enterprises build on the Akka Agentic AI Platform directly, or have a system delivered and operated through Akka Specify.

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