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NAZARE · Large-scale storage & queries

More machines. More history. Find the moment that matters.

High-resolution signals from hundreds of machines quickly become a large history. NAZARE keeps that data on site and queries the equipment, time windows and fields needed for live use and long-term analysis.

Keep data on siteStart small, expand as needed
NAZARECollection and storage operations
Collection and storage operations

What changes on the shop floor

Large-scale storage & queries

01

Use the same data infrastructure for current conditions and historical investigation.

02

Scale compute and storage for machine counts, signals, sampling rates and retention periods.

03

Use detailed records and interval aggregates according to the task.

04

Set retention periods and preserve important records to balance storage cost and business value.

NAZARE

Explore the tools behind your daily operations.

From connections and analysis to maintenance and administration: see what each screen helps you do.

Connect and organize plant data

Connection & operating details

Inspect precise records over a focused window and aggregate longer periods using averages, minima or maxima. The documented raw-data screen supports windows up to 24 hours; other analysis integrations are configured for the intended use.

NAZARE · Manufacturing data infrastructure

Growing data. Fast access.

Collect precise data from hundreds of machines on your own servers. Maintain high query performance as data grows, for historical analysis and AI.

Stored history compared

1month60months

Same query window and fields

60 months of stored history. Responsive queries.

In internal tests comparing one and 60 months of data, response for the same query window and fields did not slow in proportion to total volume.

View test conditions

Internal test, September 2026. Synthetic data at 100ms intervals; up to 1.555 billion rows per table across 7-, 51- and 186-column datasets. Query environment: 16 CPU, 64GiB RAM, result cache disabled, one concurrent query. Actual performance depends on volume, query scope, concurrency, servers and networking.

Keep data on site

Collect, store and use data on premises without sending it to an external cloud.

Start small, expand as needed

Add processing and storage as equipment and history grow.

Use existing systems

Bring MES, ERP, QMS records, documents and images into analysis and AI.

Start together

Tell us what you want to improve first.

Tell us about your equipment, data and priorities to review a path from connection to operations.

Talk to Ingkle