Predict customer behavior and make accurate product recommendations

By analyzing customers' habits and needs, data analysts can provide spot-on recommendations that will enhance customer satisfaction and boost sales.

Maximize the value of customer-product interactions

Analyze interactions between customers and products to gain valuable insights into users' habits, power up your recommendation systems and boost sales.

Develop the recommendation tools progressively

Build your product recommendations incrementally, from simple proofs to complete and robust recommendation tools based on graphs

Unlocking complex insights with simple queries

All insights, even complex ones like graph neural networks, are available by running built-in graph algorithms within simple queries. No complex JOINS, no coding.


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Graph Technology in Recommendation Engines

Having a truly accurate and adaptable recommendation engine can either make or break a business, and keeping up with the rapid growth and complexity of data is not an easy task. Luckily, graph databases and algorithms specifically designed to analyze customer behavior provide powerful and real-time recommendations.

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Why use Memgraph?

Performance for real-time needs

Handling real-time, highly concurrent, write-heavy data transactions is what Memgraph is all about.

C++ in-memory architecture gives Memgraph a massive head start for any real-time graph analysis needed. Don't just take our word for it, check out the benchmark results and validate them for yourself!

Available High Availability

High Availability is a major concern for developers. Through Memgraph's open source commitment, high availability is available to all developers through the Community Edition.

No need to fork out cash and the Enterprise licence to get an uninterrupted and continuous graph database system.

Full flexibility

Memgraph is a natural drop-in replacement as it is Cypher-ready.

There are multiple drivers to connect to the DB and allowing you to write custom procedures in various languages (Python, C/C++).

Fire up your instance on-prem or on AWS Cloud with a two-week free trial.

Blog post

Why Are SQL Databases Outdated for the Real-Time Recommendation Engines

If a recommendation engine built on relational databases is falling a part due to the bottlenecks made by complex JOINs and never-ending schema changes, there is only one permanent and game changing solution - graph databases.

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Get started today!

Interested in finding out more but not sure where to start? Contact us and we'll be in touch to get you started!

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