Augment/Replace OSI PI With a Time Series Database (iiot-world.com)
Industries are rapidly evolving from the era of computer automation (Industry 3.0) to a new phase—Industry 4.0. This shift introduces exciting technologies like the Internet of Things (IoT), artificial intelligence (AI), and big data analytics. These advancements allow businesses to collect and use real-time data, improving efficiency, productivity, and smarter decision-making.
OSI PI is a crucial software for collecting and storing real-time data from sensors and equipment and has been a key player in managing industrial data for years. However, as data volumes increase, OSI PI faces scalability, flexibility, and integration challenges. This is where time series databases come into play.
Time series databases are designed to handle large amounts of data recorded over time. They provide quick data writing, efficient storage, and advanced querying capabilities. InfluxDB, an open-source time-series database, excels in data ingestion, storage, and retrieval for large-scale applications, making it a viable alternative to OSI PI.
In this post, we’ll examine why InfluxDB is a better option for handling time series data than OSI PI. We’ll look into OSI PI’s limits, explore InfluxDB’s capabilities and benefits, and discuss real-world examples and future developments in time series data management. Ultimately, you’ll understand how InfluxDB can improve your industrial data management and why it’s worth considering for your specific requirements.