Search Results for "linux like windows"

Standard IT tools applied to SCADA/IoT (MongoDB, PostgreSQL/TimescaleDB,Node.js, C#, Golang, Grafana, etc.). MongoDB as the real-time core database, persistence layer, config store, SOE historian. Portability and interoperability over Linux, Windows, x86/64, ARM. Horizontal scalability, from a single computer to big clusters (MongoDB-sharding), Bare Metal, Docker containers, VM, cloud, or hybrid deployments. Unlimited tags, servers, and users. HTML5 Web interface. UTF-8/I18N. Protocols: IEC61850 Client, IEC60870-5-101/104 Client and Server, DNP3 Client, OPC-UA Client/Server, MQTT/Sparkplug-B, Telegraf (various data sources for monitoring like Modbus, SNMP, etc.) ...

...It supports direct connection, sentinel, and cluster mode, supports multiple languages, supports hundreds of millions of keys, and has an amazing UI. Supports both Windows, Mac OS X and Linux platform.

inMap is a big data visualization library based on Baidu Map. It focuses on the display of scatter, heat map, grid, and aggregation in the direction of big data. It is committed to making big data visualization easy to use.

Redis Desktop Manager is a fast, open source Redis database management application based on Qt 5. It's available for Windows, Linux and MacOS and offers an easy-to-use GUI to access your Redis DB. With Redis Desktop Manager you can perform some basic operations such as view keys as a tree, CRUD keys and execute commands via shell. It also supports SSL/TLS encryption, SSH tunnels and cloud Redis instances, such as: Amazon ElastiCache, Microsoft Azure Redis Cache and Redis Labs.

BIRT is an open source technology platform used to create data visualizations and reports that can be embedded into rich client and web applications. Developers who use BIRT Designer are able to access information from multiple data sources easily and quickly in order to create reports and applications with stunning data visualizations. Actuate now provides a free report server, BIRT iHub F-Type, to deploy BIRT content so developers don't have to build their own infrastructure. With a...

Our goal is to create the world's fastest extendable, non-transactional time series database for big data (you know, for kids)! Log file indexing is our initial focus. For example append only ASCII files produced by libraries like Log4J, or containing FIX messages or JSON objects. Occursions was built by a small team sick of creating hacks to remotely copy and/or grep through tons of large log files. We use it to index around a terabyte of new log data per day. You can use it too. Who...