High-Performance Time-Series Storage
DataLake
High-performance time-series storage. Store millions of data points per second. Hot, warm, and cold tiers for cost-optimal retention.
Key Features
What DataLake Does
Millions of Points/Second
Write throughput scales horizontally. Handles the largest industrial deployments without configuration.
Hot / Warm / Cold Tiering
Recent data in fast NVMe, historical in object storage. Automatic tiering keeps costs low without losing access.
SQL & Time-Series Query
Query with familiar SQL or time-series functions (last, resample, interpolate). REST API and WebSocket streaming.
Edge-to-Cloud Replication
Local DataLake at the edge replicates to cloud on schedule or continuously. Works offline-first.
How It Works
Getting Started with DataLake
Four steps from zero to production.
Receive Streams
DataBridge and FlowMaker push data directly. DataLake handles ingestion automatically.
Index & Compress
Automatic time-series indexing and columnar compression. 10x smaller than raw storage.
Tier Automatically
Define retention policies per tag group. Data migrates between tiers without downtime.
Query Anywhere
REST API, WebSocket, SQL console, and native connectors for Grafana, Power BI, and Python.
Integrations