Memgraph is a graph database that enables developers to build IAM systems that can track complex permissions and check access rules in milliseconds at scale.
Map complex permissions and always be sure who has access to what. Easy tracking of group memberships, roles, assets and resources and relationships between them. As easy as off-the-shelf IAM systems.
Check if there is an open path between a user and an asset in miliseconds. No loss in performance as your permission system grows. Memgraph can accomodate both current and future identity management requirements.
Since path traversal for access checks is performed in real time, any updates to groups, roles, and permissions are atomic and immediately visible to access checks as soon as the update transaction commits. No more cached permissions, and waiting for updates to propagate in the system.
The ever-changing team roles and permissions to resources can put a strain on Identity and Access Management systems that rely on relational databases, causing security vulnerabilities. Find out how graph databases can help.
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!
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.
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.
This tutorial will show you how to upgrade your current Identity and Access Management sytem into Memgraph. It will describe the steps to transfer into the graph domain easy.
Memgraph is best suited for use cases with complex data relationships that require real-time processing and high scalability.
In relational databases, complex data relationships arise when data from different tables is related or somehow interconnected. Because data is spread across multiple tables, querying it requires hopping from one table to other and joining it with slow and resource-intensive join operations.The complexity of join operations can increase exponentially as the number of tables increases and as the links between various tables are no longer neatly structured following a clearly set pattern. It is no longer sufficient to join just two or three tables but hop through more than seven tables to find the correct link between the data and gain valuable analytics.Examples of complex data are deep hierarchical relationships between data, such as parent-child relationships or many-to-many relationships between different tables.
When data is stored on disk, the computer has to physically read it from the disk and transfer it to the RAM before it can be processed. This process is relatively slow because it involves several physical processes, such as seeking the right location on the disk and waiting for the data to be read. Writing the data is also much slower for the same reasons.Storing data in the computer's RAM eliminates the need for these physical processes, and data can be accessed and added almost instantly. Therefore, in-memory graph databases are ideal for applications requiring fast data processing, real-time analytics, and quick response times.
Memgraph is designed to be a high-performance graph database, and it typically outperforms many other graph databases in terms of speed and scalability. Key factors contributing to Memgraph's performance are its in-memory architecture and a performant query engine written in C++. Memgraph also offers a variety of tools and features to help optimize query performance, including label and label-property indexes and a custom visualization library. Check our benchmark comparing Memgraph and Neo4j.
As a new user, try out Memgraph Cloud in a 14-days free trial, just log in with a Google account or create a Memgraph Cloud account.
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