Dynamic graph algorithms allow you to perform real-time, scalable computations on changing data. These algorithms have been specifically developed to handle high-speed updates and large-scale graph changes without needing to restart the computation process.

From Memgraph 3.0, the dynamic graph algorithms will be part of the Memgraph Enterprise license.

We’ve made this decision because dynamic algorithms require a different, more complex implementation. To implement each of them, we’ve invested heavily in research beyond the traditional static approach. Dynamic graph algorithms bring value to real-time, production-scale environments where your graph constantly evolves — but this also requires more resources to develop and maintain.

By making them part of the Enterprise offering, we can continue to invest in making Memgraph the most powerful and performant graph database on the market while ensuring that Community users still have access to robust static algorithms.

💡 What Does This Mean for You?

If you're a Community Edition user, don’t worry — you still have access to all the static graph algorithms you know and love. We want to be clear: static graph algorithms remain extremely powerful, and you can achieve the same results as dynamic algorithms using static ones, with a bit of additional work needed to recompute results when your graph changes.

Here’s a breakdown to help you compare the two approaches:

🌟 The Future of Graph Analytics with Memgraph

We’re excited to see how you continue to leverage Memgraph to solve real-world problems with graph data. Whether using static algorithms in the Community or exploring dynamic algorithms in the Enterprise, you have the tools to make powerful, data-driven decisions.

Thank you for being part of the Memgraph community — we’re here to help you every step of the way.

If you have any questions or concerns, feel free to reach out to us or join our Discord community to discuss further.