Managed Databases for M3DB
Deploy an open-source, distributed and high-performance time series database engine (TSDB) instantly to collect your metrics on a small or large scale. M3DB is compatible with Prometheus, and offers excellent data compression while ensuring maximum resilience. By using Managed Databases for M3DB, you can focus on your applications. The service is fully managed in terms of configuration, monitoring, backup, redundancy and updates.
Compatibility guaranteed for the most widely-used TSDB protocols
To write your metrics in M3DB, you can choose from the most popular protocols such as Graphite Carbon, Prometheus or InfluxDB.
Storage solution for Prometheus and Grafana
Get total visibility of your metrics with Grafana dashboards, and harness the benefits of Prometheus features that offer full PromQL compatibility.
A large-scale, reliable time series database
By design, M3DB can ingest high volumes of data without using too much storage. It can achieve this via an efficient compression algorithm (M3TSZ float64), while ensuring reliability for replication using implemented consistency check mechanisms.
Compare our Managed Databases for M3DB solutions
|Number of nodes||1 node included||3 nodes included||6 nodes included|
|RAM per node||7GB to 60GB||7GB to 120GB||15GB to 120GB|
|Service Level Agreement (SLA)||No||99.90%||99.95%|
|Switching between different solutions||Yes||Yes||Yes|
|Updates to new major versions in 1 click||Yes||Yes||Yes|
|Data encryption at rest and in transit (SSL)||Yes||Yes||Yes|
|Terraform support||Coming soon||Coming soon||Coming soon|
|Private network connectivity (vRack)||No||Yes||Yes|
Managed Databases for M3DB use cases
Documentation and guides
Do you need support getting started with your service? Check out our tutorials and documentation.
Find out how to order a Managed Databases for M3DB service via the API.
With the M3TSZ float64 algorithm inspired by Gorilla TSZ compression, the storage optimisation ratio can reach a value of x11.
Transactions to M3DB are transferred via HTTPS protocol, which ensures transaction security on the transport of data, and the identification of the service.
Terraform support (coming soon)
Save time by automating your deployments. With support for Terraform tools and APIs, you can provision your databases automatically, with the option to maintain multiple environments for your application.
Avoid vendor lock-in with PromQL
Established as the standard in the field of monitoring, PromQL enables metrics to be addressed with both standard and custom tools — avoiding vendor lock-in as a result.
Highly flexible use
Metrics accuracy can be configured from second to nanosecond for each write.
Compatible with M3 Aggregator
You can export data aggregation from multiple sources to a different process and cluster, to free up resources from your primary M3DB database.
Business and Enterprise packs guarantee resilience for your data, with triple synchronous data replication and consistency checks that can be adjusted to suit your needs.
Designed for heavy workloads
M3DB was designed to fill a gap in the market. For the most part, time series databases are limited, and cannot accommodate really large workloads. With M3DB, some deployments host one billion datapoints per second in write mode, while providing more than two billion datapoints in read mode.
Designed for load balancing
The M3DB design has been redesigned to scale horizontally, so users can add nodes as required. This way, the workload is automatically distributed across the cluster nodes, and you do not need to add more systems.
Private network connectivity (vRack)
With our Business and Enterprise solutions, you can restrict access to your database service thanks to our private network. You also get up to 2Gbit/s bandwidth.
Managed Databases for M3DB pricing
You receive a bill at the end of each month, which is calculated based on your database usage per hour. The price depends on the pack you have chosen: Essential, Business or Enterprise.
Your questions answered
What is M3DB?
M3DB is an open-source, highly available and scalable time series database, designed to handle high workloads.
Why use M3DB?
Metrics from a monitoring system or IoT device, for example, must be collected and stored. M3DB does this while ensuring resilience and data compression.
What is the difference between InfluxDB and M3DB?
InfluxDB is a very popular time series solution. Unlike M3DB, it was not originally designed for very large workloads, and its design limits its use for large-scale architectures.
What is Managed Databases for M3DB?
Managed Databases for M3DB is a managed service on our Public Cloud. Its purpose is to save you time, since we take care of your database’s management and administration.
Can I install M3DB on Public Cloud instances myself?
Once you have downloaded M3DB, you can indeed do this. However, you will need to manage and administer the database, and you will not benefit from the capabilities we provide in our turn-key service.
What is the difference between the Essential, Business and Enterprise service options?
Each plan includes different features for different uses. Among other factors, they do not all have the same benefits or the same level of availability.
Can I migrate to nodes with a higher capacity?
You can do this if you need more RAM. However, you cannot revert to a lower-capacity node.
Can this solution be integrated into a Public Cloud project?
Yes, our service can be used as a resource, or as part of a Public Cloud infrastructure. You can manage it from the OVHcloud Control Panel or the OVHcloud API. We also offer managed services for managing relational databases (SQL), such as MySQL and PostgreSQL, and non-relational databases (NoSQL), such as Redis and MongoDB.
Is M3DB open-source?
The use of M3 components is governed by the open-source Apache License version 2.0. This licence authorises the modification and distribution of the code in free or proprietary form, free or commercial, and requires preservation of the copyright notice upon any modification, with a copy of the licence to be provided with the source code.