Pricing

Nazare price

Nazare provides an end-to-end big data solution that can easily manage all tasks from connecting machineries to data collection, storage, processing, and analysis. Instead of wasting time and money on building complex big data infrastructure, use Nazare to collect machinery data and immediately use it.

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Basic data platform features
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Manufacturing AI inference service environment
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Equipped with data analysis tools (open source)
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Admin console UI
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Software upgrades
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Emergency disaster response

Pricing

Nazare is priced based on the number of CPU cores and offers flexible pricing options to suit customer needs.

Server Appliance

The cheapest way to use Nazare is to buy Nzdata.

Nzdata is an ingkle tower server appliance product that Nazare has already installed and optimized. If you buy Nzdata, you can use it immediately like an electronic product, so you can convert your manufacturing site into big data within one day of receipt.

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42,000,000 won
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Nazare 3-year license included
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Delivery and installation within 7 days
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Remote A/S (free LTE modem)
General Servers

We'll install and set up Nazare anywhere.

We will install Nazare on physical servers from selected manufacturers such as HP, Dell, and Lenovo. Both rack type and tower type can be supported, and we can safely install it in the customer's server room.

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Cost estimation based on number of CPU cores
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Clusters can be configured with multiple servers
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Turnkey from server order to installation
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Remote A/S (free LTE modem)
bigdata machine iot platform
cluster

Clusters can be configured flexibly with multiple servers.

bigdata machine iot platform

single node cluster

You can also use Nazare with just one device. Ideal for small environments, data collection, storage, and analysis can all be performed on a single server, making it easy to install and manage. This environment is ideal when you want to process data quickly while minimizing initial implementation costs.

bigdata machine iot platform

multi-node cluster

You can use Nazare by bundling multiple servers. It is suitable for manufacturing environments where large amounts of data are generated simultaneously at multiple machineries, and it is automatically distributed processing and distributed storage through multiple servers. You can scale up by adding as many servers elastically as needed.