
Real-time analytics, hosted in France
An analytical data warehouse powered by Apache Doris, installed and maintained by DINAO. Queries in less than a second on massive volumes, without entrusting your data to a foreign cloud.
What is Apache Doris?
Apache Doris is a real-time analytical database that is easy to use and highly performant, based on an MPP (massively parallel processing) architecture. It requires a response time of less than a second to return results on huge volumes, and handles both high-concurrency ad-hoc queries and high-throughput complex analyses.
Doris is designed for reporting, ad-hoc querying, unified data warehousing, and query acceleration on data lakes. Data can be flattened into wide tables and written via compute engines like Flink or Spark, or imported directly, then modeled using views, materialized views, or real-time multi-table joins.
It exposes an efficient SQL interface and remains fully compatible with the MySQL protocol, allowing you to reuse existing drivers, BI tools, and queries without rewriting.
Host Apache Doris at DINAO
Resource tiers compatible with Apache Doris prerequisites (minimum 2 vCPU / 4 Go / 20 Go). Hosted in France, fully managed.
- 2 dedicated vCPU
- 4 Go RAM
- 40 GB NVMe
- Daily backups
- Managed & monitored by DINAO
- 4 dedicated vCPU
- 8 Go RAM
- 80 GB NVMe
- Daily backups
- Managed & monitored by DINAO
- 8 dedicated vCPU
- 16 Go RAM
- 160 GB NVMe
- Daily backups
- Managed & monitored by DINAO
1 hidden tier(s) (insufficient resources for this app) : Découverte
Technical details
You might be wondering…
Does Doris replace my current warehouse?
Yes for analytical workloads : reporting, dashboards, ad-hoc queries, and unified data warehouse. Its MySQL compatibility facilitates the migration of your existing tools.
Are my BI tools compatible?
Yes. Doris speaks the MySQL protocol, so Superset, Grafana, Metabase, Tableau, or a simple SQL client connect without special adaptation.
Where is the data hosted?
On DINAO's infrastructure in France, in one of the available data centers. Your analytical data does not leave the territory.
Do I need technical skills?
To use SQL and design your models, yes : it is a data warehouse. However, DINAO manages installation, cluster sizing, security, and updates.
Can I scale the cluster size?
Yes. You add Backend nodes for capacity and performance, and enable high availability — without vendor lock-in.