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Memgraph

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Software Status:Active

About Memgraph

Memgraph is a graph database software from Memgraph that supports high-performance graph computing. It combines in-memory storage, compatibility with Neo4j, and various integration tools so users can efficiently manage large-scale graph data. Memgraph enables data scientists and engineers to use a product database, access benchmarking resources, and utilize an interactive playground for testing and development. Additionally, it includes a blog and an academy for ongoing learning and support. Key capabilities: in-memory processing Neo4j compatibility graph analytics integrations with various tools interactive playground Best for: data scientists and engineers that need a scalable solution for graph data management and analysis.

Memgraph Details

Vendor
Memgraph
Year Launched
2016
Location
London Office 20 Ropemaker Street, London, England EC2Y 9AR, GB
Deployment
cloud
Training Options
documentation, live online
Countries Served
All Countries
Languages
English
Users
Administrator, Data Scientist, Data Analyst, Software Developer
Industries Served
Healthcare, Finance, Retail, Telecommunications, Transportation, Manufacturing, Government, Energy, E-commerce, Media.
Tags
database software, real-time transactions, in-memory, graph databases, speed, scale, openCypher, real-time analytics, smartfastdata, concurrency, security, streaming, and kafka

Memgraph's In-App Market Place

Does Memgraph have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

0

Mini Apps

Pricing Options

Free trial
Free version
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Accepted Payment Currencies

Usd ($), Eur (€), Gbp (£), Jpy (¥), Aud (A$), Cad (C$), Chf (fr.), Cny (¥), Sek (kr), Nzd (nz$), Krw (₩), Rub (₽), Zar (r), Thb (฿), Dkk (kr), Sgd (s$), Hkd (hk$)

Pros & Cons

  • High Performance: Memgraph's in-memory architecture ensures fast query execution and high throughput.
  • Seamless Integration: Full support for the Cypher query language allows for easy adoption by developers familiar with Neo4j.
  • Advanced Analytics: Built-in graph algorithms enable complex analytics without the need for additional tools.
  • Scalability: Supports multi-tenancy, allowing for efficient resource utilization and scalability.
  • Robust Security: Comprehensive security features ensure data protection and compliance.
  • Resource Intensive: Being an in-memory database, Memgraph requires substantial RAM, which may increase operational costs.
  • Community Edition Limitations: Some advanced features may be limited or unavailable in the community edition.
  • Learning Curve: Developers new to graph databases may face a learning curve in understanding graph data modeling and query optimization.
  • Deployment Complexity: Setting up and maintaining a Memgraph instance may require expertise in graph database administration.
  • Limited Ecosystem: Compared to more established graph databases, Memgraph's ecosystem and community support may be smaller.

Memgraph's Support Options

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