Real-time analytics, hosted in France
Query billions of events in milliseconds with Apache Druid, installed and maintained by DINAO. Your data streams stay on our French servers — never in a foreign cloud.
What is Apache Druid?
Apache Druid is a high-performance real-time analytic database, designed for fast queries on large-scale event data. It is typically used as the foundation for applications requiring high ingestion throughput, sub-second response times, and high concurrency: analytical dashboards, observability, log analysis, click analysis, or metrics analysis.
Druid combines several concepts from data warehouses, time-series databases, and search engines: compressed columnar storage, indexing, time-based partitioning, and pre-aggregation (roll-up) at ingestion time. It can ingest data in real-time from streams like Apache Kafka or Amazon Kinesis, as well as in batch mode from files or durable deep storage.
Its distributed architecture — coordinators, brokers, and historical nodes — enables horizontal scaling and high availability, while querying in native SQL (Druid SQL) or via a JSON API, and integrating with market visualization tools.
Host Apache Druid at DINAO
Resource tiers compatible with Apache Druid prerequisites (minimum 2 vCPU / 6 Go / 10 Go). Hosted in France, fully managed.
- 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
2 hidden tier(s) (insufficient resources for this app) : Découverte, Standard
Technical details
You might be wondering…
What is Apache Druid used for?
Druid is a real-time analytic database designed for fast queries on large volumes: interactive dashboards, event analysis, observability, log and metrics exploration with sub-second response times.
Can data be ingested in real-time?
Yes. Druid connects to streams like Kafka or Kinesis and makes data queryable in near real-time, while also supporting batch loading from files or deep storage.
Where is the data hosted?
On DINAO infrastructure in France, in one of the available datacenters. Your events and aggregates do not leave the territory.
Are technical skills required?
DINAO manages the cluster (installation, scaling, updates, monitoring). Your analysts query data using Druid SQL or via the API, and connect their usual visualization tools.
Does Druid replace a relational database?
No: Druid specializes in analytics on event series and complements a transactional database. It excels where rapid aggregation and filtering of massive volumes are needed rather than managing row-by-row transactions.