IP2Location is one of the oldest names in IP geolocation, but when it comes to IP risk intelligence, CandycornDB offers far more depth. This comparison breaks down the core differences so you can choose the right tool for security, fraud detection, and modern development workflows.
IP2Location is primarily a database of IP geolocation records. It tells you where an IP might be located, who the ISP is, and what kind of connection is used.
CandycornDB goes deeper — scoring each IP in real-time based on network structure, autonomous system behavior, and subnet context. It's not just about where traffic is coming from — it's about whether you can trust it.
IP2Location relies on large, flat CSV files or monthly API updates. That data is often stale. It may work for general analytics, but it isn’t reliable for detecting evolving fraud threats or network abuse.
CandycornDB enriches and scores IPs as they’re seen — in real time. Our models learn from network patterns and traffic behavior. That means your system responds faster, flags threats earlier, and adapts without waiting for the next static update.
CandycornDB is built for developers. Our API is lightweight, JSON-native, and requires no extra dependencies. You can get started in minutes. We focus on IP scoring — nothing more, nothing less — and we do it fast.
IP2Location, by contrast, often requires managing bulk data files, manual IP lookups, or integrating legacy APIs. It’s designed more for data teams than modern engineering workflows.
If you're still relying on geolocation alone, you’re missing half the story. CandycornDB gives you scoring, signal, and speed — without complexity.
If you're using IP2Location for fraud detection, you may be outgrowing static data. CandycornDB gives you deeper intelligence, smarter signals, and a faster way to act on risky IPs.
Try CandycornDB free or explore the docs to start scoring IPs smarter today.