When NASA launched the James Webb Space Telescope (JWST), it didn’t just improve our view of the cosmos—it redefined what was visible. Compared to Hubble, which maxed out at stunning ultraviolet and visible-light images, Webb peers billions of years deeper, revealing structures and events the human race had never seen.
Rocketgraph is doing the same for enterprise data.
Legacy graph databases gave us the first dazzling snapshots of connectivity. However, like Hubble, they stop short when the data gets dense, fast-moving, or multimodal. Rocketgraph is the JWST of data analytics: an infrared powerhouse that slices through the noise, revealing high-order interactions other platforms simply can’t see.
Let’s explore what makes Rocketgraph a breakthrough—and what it costs not to use it.
A New Lens on Your Data Universe
Hubble changed how we saw space, but it couldn’t see everything. Its technology couldn’t peer through interstellar dust or detect the earliest galaxies.
Similarly, many organizations are still using outdated graph databases—tools that worked well a decade ago but can’t scale to today’s challenges. These legacy systems can’t ingest massive, real-time datasets or detect the subtle patterns buried within.
Rocketgraph changes that. With an in-memory engine built for scale, a natural-language LLM interface called Mission Control, and its unique Temporal Triangles benchmark, Rocketgraph can deliver insights hundreds of times faster than traditional graph solutions. It doesn’t just visualize data—it sees causality, context, and consequences.
Speed, Sensitivity, and the ROI of Real-Time
Webb’s segmented mirror collects six times more light than Hubble’s. That extra sensitivity translates to clearer images and deeper insights.
Rocketgraph achieves the same leap, just in data. In lab tests, it routinely loads graphs with over 4.2 billion edges in under a minute, and runs complex, time-sensitive queries in seconds. What used to take a team days now happens in hours—or even minutes.
Installation, too, has been revolutionized. A once-painful, 30-minute setup is now a 30-second deploy on the cloud infrastructure of your choice. That’s not just a technical improvement—it’s a multiplier on productivity.
Here’s the bottom line:
- 🚀 Faster installs = More parallel proofs of concept
- 🚀 Faster queries = More decisions per analyst hour
- 🚀 Faster answers = Faster wins in cybersecurity, fraud, and operations
If JWST lets astronomers watch stars form in real-time, Rocketgraph lets security teams watch breaches unfold live.
What You Can’t See Is Costing You
According to IDC, dark data—information collected but never analyzed—represents a $3.1 trillion missed opportunity globally. Gartner reports that only 32% of enterprise data ever reaches decision-making relevance.
The rest? It just sits there. Unused. Invisible.
This isn’t just inefficient. It’s dangerous IBM’s 2024 report shows the average data breach costs $4.88 million, but AI-powered analytics can reduce that loss by $2.22 million per incident.
Rocketgraph users who process over 100 billion events per day report reducing incident triage from 6 hours to just 5 minutes—a 72x efficiency gain that translates to:
- ⏱️ $350,000+ saved per critical breach
- 💰 Eight-figure savings across the year
Every hour you don’t use Rocketgraph is an hour your competitors spend seeing patterns you can’t detect.
Learn how GenAI and HPC are fast-tracking graph analytics adoption in this brief, insight-packed white paper.
Legacy Systems and the Data Black Hole
Trying to find meaning in siloed systems or first-gen graph tools is like studying a black hole with a flashlight. You can stare all you want—but the photons don’t come back.
These older platforms simply can’t handle:
- Multimodal data
- Real-time relationships
- Subtle, emergent behavior like fraud rings or lateral cyber movement
Rocketgraph’s high-speed traversals and English-language query interface are more powerful and usable. Analysts don’t need to be data scientists to get deep answers—they just need a question.
That’s the Rocketgraph difference: it renders the invisible visible—with context, causality, and speed.
Missed Signals = Missed Opportunities
In astronomy, the light from galaxies 13.6 billion years away is redshifted so far that Hubble couldn’t even detect it. Business signals work the same way: if you only analyze them in hindsight, they’re often too late to act on.
Rocketgraph changes the timeline.
One procurement team using Rocketgraph’s Mission Control spotted a vendor loop in real time—a 7% markup hiding in plain sight. They avoided a $4.2 million budget overrun and saved weeks of forensic auditing.
Now multiply that real-time insight across every domain—finance, operations, security, product—and the cumulative savings quickly rival a nine-figure impact.
Discover the Impossible—Today
Hubble helped us marvel. JWST helps us understand.
Legacy graph tools proved relationships mattered. Rocketgraph makes them work at scale, in seconds, across the most complex data environments.
From millisecond fraud detection to end-to-end supply chain orchestration, Rocketgraph brings you a Webb-class view of your data universe. From edge to Exabyte.
So why keep staring into data you can’t see?
The universe didn’t stop at Hubble. Neither should your analytics.
Rocketgraph invites you to discover the impossible—Get a Free Trial!