Solutions
Time-series data at scale
Connected devices, smart meters and monitoring systems produce readings every second, each one stamped with a time. Digitalis builds and runs platforms that take in this time-series data as it arrives, store it reliably at very high volumes and keep it quick to query as it grows, from millions of devices to billions of data points a day.
What time-series data at scale makes possible
- Support millions of devices at once. Ingestion scales out as devices and sensors are added, with no redesign at each stage of growth.
- Ride out daily peaks. Morning and evening surges are absorbed without slowing the platform or losing data.
- Analyse billions of data points a day. Recent and historical readings stay quick to query for dashboards, alerts and reporting.
- Free product teams to build features. Specialists run the data platform, so developers can focus on customer-facing applications.
What we bring
The services and technologies behind it
Streaming ingestion takes in data as it arrives
High-throughput streaming takes in readings from every device and system and feeds them to the services that need them.
Scalable storage for time-series data
Distributed, fault-tolerant storage handles high write volumes, partitioned to keep reads fast as data grows.
Analytical stores answer questions quickly
Analytical databases make queries across large volumes of time-series data fast enough for dashboards and alerts.
Infrastructure as code and 24×7 operations
Cloud infrastructure is provisioned as code, and specialists support the platform around the clock, from capacity planning to incident response.
Frequently asked questions
What is time-series data?
Time-series data is a stream of readings, each stamped with the time it was taken, such as vehicle telemetry, smart meter readings or system metrics. It arrives continuously and in large volumes, and it is usually queried by time range.
How much data can the platform handle?
Platforms we have built support millions of connected devices sending data at the same time, and billions of data points a day. Capacity is planned for your volumes and expected growth.
Which database suits time-series data?
It depends on the queries. Cassandra suits high write volumes and lookups by device, and ClickHouse suits analysis across many devices and long time ranges. Many platforms use both.
How do you secure device and sensor data?
Security is designed in from the start and aligned with your own standards, under our ISO 27001 certified information security management.
Do you work on any cloud?
We are cloud-agnostic and work on any cloud, including hyperscalers such as AWS, Azure and Google Cloud, European sovereign clouds such as Scaleway and IONOS, and on-premises or hybrid environments. See our cloud-agnostic services.
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