DeploymentWorkloadsMemgraph in mission critical workloads

Memgraph in mission-critical workloads

Before diving into this guide, we recommend starting with the Best practices

page. It provides foundational, use-case-agnostic advice for deploying Memgraph in production.

This guide builds on that foundation, offering additional recommendations tailored to critical and high-availability workloads. In cases where guidance overlaps, consider the information here as complementary or overriding, depending on the unique needs of your use case.

Is this guide for you?

This guide is for you if you’re building mission-critical systems where uptime, data consistency, and fault tolerance are essential. You’ll benefit from this content if:

  • You require high availability and automatic failover for your application.
  • You need strong consistency guarantees even under heavy loads.
  • You must recover gracefully from unexpected failures without data loss.
  • You need to support multi-tenant environments securely across multiple projects or customers.

If this matches your needs, this guide will help you configure and operate Memgraph to meet the demands of always-on production environments.

Why choose Memgraph for mission-critical use cases?

When stability, consistency, and resilience matter most, Memgraph is built to deliver. Here’s why Memgraph is a great fit for mission-critical workloads:

  • In-memory storage engine with persistence Memgraph keeps the working set fully in memory for fast access, while ensuring durability through periodic snapshots and write-ahead logging (WALs) in transactional mode.

    Keeping the data in memory ensures lightning speed in times when you expect everything to function seamlessly and without issues during peak times of your critical service.

  • High availability with automatic failover Memgraph supports full high availability clustering, allowing you to deploy multiple instances with automatic leader election and failover when needed.

    Deploying Memgraph with high availability will ensure Memgraph is up and running at all times, without compromising uptime of your services.

  • Multi-version concurrency control (MVCC) Built on MVCC, Memgraph allows non-blocking reads and writes, ensuring that your system remains responsive even under concurrent access. Writes are not blocking reads, and vice versa.

  • Snapshot isolation by default Memgraph uses snapshot isolation instead of read-committed isolation, preventing dirty reads and guaranteeing a consistent view of the graph at all times.

  • Replication for read scaling and redundancy Memgraph supports asynchronous replication, enabling you to scale read workloads independently while ensuring failover readiness. For a more consistent view of the data, it also supports synchronous replication which prioritizes consistency over scalability.

  • Fine-grained access control and security Secure your system with role-based access control and label-based access control to ensure only the right users see and manipulate data.

What is covered?

The suggestions for mission-critical workloads complement several key sections in the general suggestions guide, with additional best practices to ensure uptime and data protection:

Choose the right Memgraph flag set

For mission-critical setups, you should configure Memgraph to optimize for durability, fast recovery, and stability. Some important flags include:

  • --storage-snapshot-interval-sec=x
    Set how often snapshots are created. In mission-critical systems, you may want frequent snapshots to minimize recovery time.

  • --storage-wal-enabled=true
    Ensure WALs (write-ahead logs) are enabled to protect all transactions between snapshots.

  • --storage-parallel-schema-recovery=true and --storage-recovery-thread-count=x
    Enable parallel recovery to speed up startup time after a crash by using multiple cores.

  • --query-execution-timeout-sec=x
    Set reasonable query timeouts to avoid stuck queries and prevent resource exhaustion.`

Choose the right Memgraph storage mode

For mission-critical deployments:

  • Always use IN_MEMORY_TRANSACTIONAL mode.
  • This mode provides full ACID guarantees, WAL support, and snapshot consistency.

IN_MEMORY_ANALYTICAL is optimized for high-speed ingestion but does not provide transactional durability. It is not recommended for mission-critical workloads.

Importing mechanisms

Importing mechanisms are best described in the guide for high-throughput workloads. The rule of thumb is to always setup the drivers to perform retries if you’re doing heavy amount of writes, in order to avoid read conflicts. The high throguhput guide also outlines the need for idempotent queries, to ensure data consistency if writes fail for any reason.

Enterprise features you might require

For robust production environments, consider enabling:

Backup and recovery mechanisms

Data durability is critical in mission-critical environments. Memgraph supports:

  • Snapshots
    Automatically or manually triggered full-database snapshots.

  • Write-ahead logging (WALs)
    Transaction logs that enable you to replay changes made after the last snapshot.

  • Manual backup and offloading
    Use external tools (like rclone) to back up snapshots and WALs to cloud storage or remote servers for additional redundancy.

Memgraph currently does not automate backing up data to 3rd party locations, so integrating a backup process into your system is highly recommended.

Learn more about backup and restore on our backup and restore documentation page.

Queries that best suit your workload

In mission-critical workloads:

  • Prefer idempotent writes (MERGE) to avoid inconsistent state during retries.

  • Optimize long-running queries and profile them regularly.

  • Avoid complex, unpredictable queries inside critical transactional paths.

  • Use schema constraints and indexes wisely to enforce data integrity without hurting performance.

Example of safe, idempotent data ingestion:

MERGE (n:Customer {id: $id})
SET n += $props;