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memgraph.com

Sevenoaks, Kent, United Kingdom

High-performance, in-memory graph database and analytics platform for real-time insights.

Memgraph Ltd. is a technology company delivering high-performance, in-memory graph database technology and a real-time analytics platform. Serving developers, data scientists and enterprises, the organization enables fast querying, real-time data processing, and graph-based reasoning on connected data. Its platform supports enterprise-grade security, high availability, and scalable deployment options, enabling use cases across fraud detection, risk analytics, data lineage, knowledge graphs, and network exploration. Guided by a culture of openness, collaboration and continuous learning, Memgraph focuses on empowering teams to derive actionable insights from complex relationships and to build AI-enabled workloads that operate on streaming graph data.

We're building the future of graph computation. We believe in a future where the problem solving power of graphs is in the hands of everyone.

What we offer

Memgraph Database

High-performance graph database for real-time analytics and decision-making.

memgraph.com/download

Memgraph Cloud

Service

Effortlessly manage your graph database with a fully managed cloud service from Memgraph.

cloud.memgraph.com

Memgraph AI Platform

Unlock the power of graph-based AI for real-time insights and decision-making.

memgraph.com/ai-platform

Market segments

Market size by segment

Growth potential (CAGR)

Graph database for real-time analytics

0.8 Billion USD20% CAGR

In-memory graph databases optimized for low-latency queries, ACID transactions, high-availability replication, and real-time analytics on connected data.

Knowledge graph management

1.5 Billion USD19.4% CAGR

Capabilities to model, store, query, and maintain enterprise knowledge graphs, including graph data models, Cypher query generation, and integration with upstream data sources.

Retrieval-augmented generation and semantic search

1.9 Billion USD40% CAGR

Capabilities that combine vector embeddings, knowledge retrieval, and generation pipelines to produce grounded answers, enterprise search, and knowledge-driven task automation.

Streaming graph processing and real-time data integration

30 Billion USD14.5% CAGR

Capabilities for ingesting, processing, and reasoning over streaming data into graph structures using built-in stream connectors and real-time update support.

More information about our offering

Memgraph Database

Memgraph Database is a high-performance, in-memory graph database designed for real-time analytics and graph processing. It features an in-memory engine with on-disk persistence, ACID transactions, high-availability replication with automatic failover, no-downtime updates, and supports the Cypher query language along with streaming data ingestion.

  • Ensures Data Integrity
    Guarantees that transactions are processed reliably, maintaining the integrity of the database.
  • Maintains System Uptime
    Ensures continuous operation by automatically switching to backup systems without service interruption.
  • Delivers Immediate Insights
    Allows users to make decisions based on the latest data, improving responsiveness and accuracy.
  • Facilitates Graph Querying
    Allows users to perform complex graph queries easily and intuitively, enhancing data accessibility.
  • Combination of Speed and Durability
    Benefits from the speed of in-memory processing with the reliability of persistent storage.
  • Enables Seamless Maintenance
    Allows for system updates without interrupting ongoing services, ensuring continuous availability.
  • Enhances AI Performance
    Combines graph technology with AI capabilities for improved decision-making in AI applications.
  • Facilitates Data Ingestion
    Streamlines the process of connecting to various data sources for continuous data integration.

Memgraph Cloud

Memgraph Cloud is a fully managed cloud graph database service hosted on AWS. It offers automated updates and backups, scalable RAM options from 1 GB to 32 GB, and AWS Marketplace availability, with a free trial to try the service.

  • Focus on Development, Not Management
    Allow your team to concentrate on building applications instead of database maintenance.
  • Protect Data With Automation
    Ensure your data is secure and the service is always up-to-date without manual intervention.
  • Enhance Geographic Availability
    Access the service from multiple AWS regions to ensure low latency and high availability.
  • Adapt to Your Workload
    Choose from a range of RAM options to efficiently meet your application's demands.
  • Simplify Procurement Process
    Easily acquire and deploy the service through the familiar AWS Marketplace platform.
  • Experience Before Committing
    Try the service for free to see if it meets your needs before making a commitment.

Memgraph AI Platform

The Graph Engine Built for AI. The AI Platform is the full Enterprise edition priced for AI workloads, featuring unlimited vector indexes and three AI workloads: GraphRAG, Memory, and Agentic AI, along with enterprise infrastructure, security, and developer tooling optimized for AI at scale.

  • Ensure Reliable Operations
    Achieve robust performance with enterprise-grade reliability and data persistence.
  • Protect Sensitive Data
    Ensure your data is secure with comprehensive access controls and auditing capabilities.
  • Enable Intelligent Agent Decision-Making
    Utilize graph-based reasoning to enhance decision-making with efficient planning strategies.
  • Manage Diverse Data Types
    Integrate and query different forms of knowledge seamlessly within a unified graph structure.
  • Facilitate Seamless Data Ingestion
    Integrate easily with existing systems through powerful stream connectors and a familiar query language.
  • Streamline Context Retrieval
    Simplify data searches with an efficient atomic operation that enhances system performance.
  • Leverage Advanced Algorithms
    Utilize the MAGE library to perform complex graph analytics effortlessly.
  • Maximize Data Processing Capacity
    Utilize unlimited vector indexes to enhance the efficiency of your AI workloads.
  • Access Expert Assistance
    Get prompt support from dedicated engineers to ensure your success.

References

Methodology and sourcing behind the figures shown above.

Graph database for real-time analytics

Search results provided no explicit market-size or CAGR figures for this niche. Using domain knowledge: the broader graph database market is a multi‑billion dollar but still early market (low single‑digit billions USD). Real‑time, in‑memory, ACID‑capable graph databases represent a premium, fast‑growing subset focused on low‑latency analytics, streaming and operational graph workloads. I estimate the current addressable market for in‑memory / real‑time graph databases at roughly $0.8B (approx. 20–40% of the broader graph‑DB spend, conservatively applied), with robust adoption driven by cloud, streaming analytics, fraud/AML, recommendations and graph ML. Growth potential is high; I estimate a conservative CAGR of ~20% as enterprises and cloud vendors continue migrating connected‑data real‑time workloads to specialized graph systems.

Knowledge graph management

Multiple industry reports in the search results estimate the knowledge-graph market at roughly USD 1.3–1.7B in 2024–2025 with multi-year forecasts to ~USD 8–9B by the early-to-mid 2030s. GMI and MarketResearchFuture provide similar CAGR estimates (~18.6–19.4%), while MarketsandMarkets projects a higher CAGR (31.6%) to a 2032 figure. I select a current market size of ~USD 1.5B (2025) and a growth potential ~19.4% CAGR as the consensus-aligned estimate supported by multiple sources.

Retrieval-augmented generation and semantic search

Search results provide explicit forecasts: MarketsandMarkets estimates the RAG market at USD 1.94B in 2025 with a 38.4% CAGR to USD 9.86B by 2030; PrecedenceResearch estimates USD 1.85B in 2025 with a 49.12% CAGR to USD 67.42B by 2034. I report a 2025 market size of ≈USD 1.9B and a representative growth potential of ~40% CAGR, conservatively between the cited forecasts.

Streaming graph processing and real-time data integration

Estimate derived by triangulating data integration and streaming/real-time analytics market figures in the search results. MarketsandMarkets and Precedence show the data integration market in the mid-teens of billions (growing ~13% CAGR). Streaming analytics/real-time streaming reports show larger markets (USD 44–45B in 2025) with double-digit CAGRs (≈12–13%), and some sources project even higher streaming analytics growth. Streaming graph processing sits at the intersection of these categories (real-time integration + streaming analytics) and represents a sizeable sub-segment of the combined addressable market. I therefore estimate a current combined addressable market of roughly USD 30B and a growth potential slightly above core integration/streaming averages (~14.5% CAGR) reflecting strong demand from AI, IoT, and event-driven architectures.

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