Nazare is an on-premise machinery data platform that can collect, store, transform, and query vast amounts of data from industrial machineries in real time. Millisecond machinery data can be easily imported to accelerate tasks that increase utilization, quality, and yield.
Ingkle addresses the limitations of general-purpose databases and cloud solutions in terms of performance, security, and scalability required by the manufacturing industry with big data processing technology developed independently.
It simultaneously connects dozens of industrial devices and collects data in milliseconds. It supports various PLCs such as Siemens, Mitsubishi, and Omron.
A single low cost server collects 10 million time series data per second in real time and stores it at a high compression ratio of 90% or more. Horizontal expansion allows storage of tens of petabytes or more.
A single low cost server responds to more than 100 million timeseries data per second. Users can quickly access machinery data required for BI and AI/ML using familiar SQL queries.
Use SQL and user-defined functions to perform and manage various pipeline tasks. Users can easily convert, aggregate, and export data to other systems.
Real-time machinery data required for the user's AI inference service is quickly delivered, and the inference results are received and stored. It dramatically reduces the time to build an AI inference environment.
It supports on-premise, public cloud, and hybrid environments. Starting with a single low-end server, you can flexibly scale horizontally as data volume and workload change.
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. Users can immediately utilize real-time collected machinery data for core business without wasting time on building complex systems.
Everything you need to access and manage Nazare can be done through a single web interface.
Nazare supports more than 10 programming languages, including Python and Java, and standard SQL, so it can be easily integrated into users' existing systems
Nazare can deliver more than 100 million timeseries data per second from a single node in response to queries. Data can be queried in a familiar way through standard SQL, and the response performance is 20 times faster than traditional general-purpose databases. It uses a proprietary Rust-based SQL query engine and Apache Arrow, a columnar in-memory format technology.
Nazare can collect and store more than 10 million pieces of data per second in real time. Distributed parallel processing is performed according to collection volume, and real-time streaming and mass batch operations are performed efficiently without performance degradation. It uses a proprietary Rust-based collection engine and Kafka, a message queue technology.
Nazare is offered at a cost tens of times lower than traditional solutions for building big data. It guarantees high cost savings compared to cloud solutions, and can be flexibly expanded as needed by starting in an on-premise environment. You can now launch a high-performance big data infrastructure at a lower cost.
Experience firsthand the innovation that many teams feel while using Nazare.
Now, focus on your core business instead of wasting time and energy building and operating complex systems.
Thanks to Nazare, the time required to collect and analyze data in real time from customer plant machineries has been greatly reduced. The data processing performance is excellent, so even complex analyses can be processed quickly.
It took a lot of time to build a real-time data environment where AI models could be operated, but Nazare was able to streamline the process. We are now getting accurate results while using far fewer resources to collect and transform data.
우리는 제조 현장의 장비 데이터를 더 효과적으로 활용하기 위해 Nazare를 도입했는데, 데이터 수집부터 분석까지 모든 과정이 원활하게 통합되었습니다. 그 결과, 빠르게 생산 라인의 문제를 찾고 해결할 수 있었습니다.
Nazare는 특히 데이터 수집과 저장에서 놀라운 성능을 보여주었습니다. 기존 데이터베이스에서는 불가능했던 대규모 데이터를 손쉽게 처리할 수 있어, 큰 성과를 얻을 수 있었습니다.
우리는 발전소 설비에서 발생하는 방대한 데이터를 범용 DB로 저장, 처리하는데 어려움을 겪고 있었어요. Nazare는 이를 한 방에 해결해주었고, 저장 용량 걱정 없이 합리적인 비용으로 확장할 수 있어서 운영에 큰 도움이 되고 있습니다.
Nazare의 데이터 마이그레이션 기능 덕분에 이전에 사용하던 데이터를 손쉽게 옮길 수 있었고, SQL을 통해 기존 데이터베이스처럼 필요한 설비 데이터를 바로 가져올 수 있어 매우 편리했습니다. 새 시스템 전환에 따른 부담이 없어서 좋았습니다.
Here is a collection of frequently asked questions and answers from customers about Nazare.
It is suitable for industries where large-scale real-time data processing and storage is important, such as manufacturing, energy, semiconductors, automobiles, and logistics. Nazare is the best option for building an on-premise machinery data infrastructure.
It is designed to have the highest performance for storing and querying time series data from industrial machineries, and the big data infrastructure can be built even with a single low-spec server, which is a big difference.
Since it supports standard SQL and more than 10 programming languages, it's easy to integrate with the legacy systems you're using.
Since all machinery data is stored safely inside the workplace, there is no need to worry about data leakage. Data is kept safe through various security features such as user access control and permission management.
It is mainly used by manufacturers' production technology teams, machinery maintenance teams, machinery (facility) companies, and manufacturing AI solution providers. Organizations and companies that need to perform tasks based on big data, such as production failure analysis, anomaly detection, and failure prediction, use Nazare to build machinery data infrastructure.
Machinery data collection/storage speed, data compression ratio, and SQL query performance are overwhelmingly high. Also, since horizontal scaling (scale-out) is possible, there is no limit to machinery data storage capacity.
If you have a server ready to install Nazare, you can get started in as little as a day.
The cost is calculated in proportion to the number of CPU cores on the server where Nazare is installed. Software licenses are renewed on an annual basis, and long-term or permanent contracts are also possible.