Authors:

Shekhar Iyer, CEO, Arango and Ravi Marwaha, CPO & CTO, Arango

 

A New Chapter for Arango

In this webinar we explored Arango’s next chapter evolving from a multi-model database into a GenAI data platform built for speed, scale, and flexibility.

For over a decade, Arango has been known as the most scalable, lowest TCO and developer friendly/Application friendly multi-model graph database. But the world has changed, and we can all thank ChatGPT 2022 for that..

 

“Just like the internet reshaped every industry 30 years ago, GenAI will redefine how businesses operate in the next decade.”

– Shekhar Iyer

 

GenAI is no longer a buzzword it’s reshaping how enterprises, startups, and innovators design applications. With this shift comes new requirements:

• Managing structured and unstructured data together, 
• Unifying search and vector queries, 
• Scaling without compromise, and 
• Delivering results at the speed business demands.

That’s the transformation we’re leading.

Proven success with large and medium enterprises globally

 

Why This Matters Now

Every technology wave comes with skepticism. In the 1990s, people debated whether the internet was hype or reality. Today, nobody doubts its impact. GenAI is at the same inflection point.

But here’s the challenge: 95% of GenAI projects fail (MIT study). The reasons?

• Data silos delay progress.
  
• Fragile integrations break under load.
  
• Legacy infrastructure can’t scale to the needs of LLMs and agentic AI.

Customers from the world’s largest enterprises like NVIDIA and HPE to fast-moving startups tell us they need something different. They need a unified foundation.

ArangoDB : Data Lifecycle & Data Architecture

 

“If we only talk about bits and bytes, we’ve missed the point our goal is accelerating business value.”

– Shekhar Iyer

 

At Arango, we believe the answer lies in 3 core principles:

1. Simplicity: Natively multi-model, supporting vector, graph, search, document, and key-value.
   
2. Scalability: Horizontally and vertically, with GPU acceleration built in.
3. Deployment Flexibility: On-prem, embedded, or cloud with cost-effective, enterprise-ready models.

Key Differentiation & Value

 

Solving Complexity with One Unified Platform

For developers and architects, the reality of building GenAI apps today is daunting. You’re stitching together SQL, NoSQL, graph, and vector databases all scaling differently, each with its own APIs and languages. That’s fragile, costly, and slow. With Arango GenAI data platform, we want to increase your developer productivity to 10x and increase your speed to market by 10x and we plan to continually work with you to make that possible.

Arango takes a different approach. From day one, we built a native multi-model database. Today, that foundation means we can unify:

• Vector search for embeddings
• Graph for context and relationships
• Document & key-value for flexibility
• Search for discoverability
• Time-travel queries for history and compliance
• GPU acceleration for scale
• All in a single engine, through one query language
• Various tools/Frameworks/GenAI toolsets/MCPs/Agentic workflow

 

“If you try to stitch together SQL, NoSQL, vector, graph, and search, along with various tools, MCPs, Frameworks, data pipelines, and be able to maintain, build observability, scalability, you’re managing 20 or so different pieces of technologies that all scale differently. With Arango, it’s unified in one Platform.”

– Ravi Marwaha

 

A Simplistic Agentic Data Infrastructure (Middle Layer)

 

Introducing the GenAI Suite

We’re also unveiling our GenAI Suite designed to accelerate projects whether you’re building:

• Chatbots and copilots for employees or customers
  
• Front-office and back-office automation powered by GraphRAG and LLMs
  
• Agentic workflows that bring intelligence into everyday processes

With prebuilt integrations, GraphRAG blueprints, and support for LLMs and domain-specific models, the GenAI Suite reduces the burden of wiring everything together so you can focus on building value.

 

“Complexity kills ROI. GenAI projects fail when the data isn’t ready, the tools aren’t integrated, and the systems don’t scale and you can’t maintain or manage upgrades and changes.”

– Ravi Marwaha

 

Deployment on Your Terms

Flexibility doesn’t stop at the data model or how many pieces of technology teams have to stitch together. Arango offers multiple deployment options on-prem, embedded in your stack, or fully managed in the cloud all accessible through a single unified interface.

That means whether you’re a startup with a clean slate or a global enterprise with legacy systems, or a startup building a net new application, you can plug Arango into your environment without the integration nightmare and enable scenarios and capabilities that are at least 10x more challenging with Relational database approaches.

 

Why We’re Excited

 

“Simplify, scale, and speed-to-value that’s the mission behind Arango’s evolution into a GenAI data platform.”

– Shekhar Iyer

 

Why Arango?

 

This is more than a product evolution. It’s about enabling enterprises and innovators to succeed where others fail to move from experimentation to production faster, with less risk, and with greater impact.

For our existing customers who know us for our best-in-class graph capabilities, we’re expanding to meet your GenAI needs. For developers and architects exploring the space: this is your chance to build on a unified, enterprise-ready foundation.

 

Watch the Replay & Connect With Us

This blog is just the beginning.

Watch the full webinar replay to hear the complete Fireside Chat with Shekhar and Ravi.

Contact us to discuss how we can help you get started with the right data foundation before your next GenAI projects.