Highlights:

  • InfluxData Inc., a database firm, is releasing new features. These new functions will speed up gathering, analyzing, and storing time-series data in InfluxDB Cloud.
  • InfluxDB Native Collectors are equipped with capabilities that may enrich, format, filter, and process data before it is uploaded to InfluxDB Cloud, which can assist decrease the expenses associated with data storage.

InfluxData Inc., a startup company in the database industry, is adding new functionalities to its platform. These new functions will allow customers to gather, analyze, and store time-series data in the InfluxDB Cloud quickly.

According to the firm, InfluxDB Native Collectors is a new feature that enables developers working with InfluxDB Cloud to subscribe, process, convert, and store real-time data from messaging, other public and private brokers, and queues. It is compatible with the publish-subscribe network protocol used by MQ Telemetry Transport, and it enables what the business claims to be the quickest way to acquire data from third-party brokers without installing any additional software or code.

The InfluxDB platform is the primary product offered by the firm. It is a particular kind of database called a time-series database, whose sole purpose is to manage information organized chronologically. For example, it is used to store the heat readings from industrial temperature sensors. This data needs to be arranged in the exact order they are made together with an accurate date so that users can monitor how the heat in a machine varies over the course of time. This context is also crucial for other applications, such as performance monitoring.

The storage and processing of this kind of chronological data can be accomplished with the help of InfluxDB. It is important to note that the database is touted to be easy to deploy yet capable of great speed since it can store millions of data operations per second.

According to the company’s explanation, time-series data might originate from a wide variety of disparate sources all around the world. It is necessary to compile all this information in one central spot before attempting to make sense of it. The challenge for developers is to design the pipelines from different data sources to the database may be an extremely complicated task, that requires a great deal of customization to work correctly. In addition, certain kinds of computer systems could call for the presence of an intermediary layer to facilitate the flow of data and the transformation of data arriving from outside sources.

The development of these data pipelines is fully automated with the help of InfluxDB Native Collectors. Cloud-based data sources can connect directly to InfluxDB Cloud due to this feature, which eliminates the requirement for an additional layer of mediation. This means that time-series data may be gathered, converted, and stored in real-time, without the need to write any additional code.

According to the business, it can be contextualized across various architectures to improve application speed and security after collecting the data. In addition, InfluxDB Native Collectors are equipped with capabilities that may enrich, format, filter, and process data before it is uploaded to InfluxDB Cloud, which can assist in decreasing the expenses associated with data storage.

The firm announced that additional collectors for Apache Kafka and the Advanced Message Queuing Protocol would be released later this year, in addition to its first Native Collector for MQTT-based data

InfluxDB Vice President of Products Rick Spencer said, “With Native Collectors, we’re expediting device to cloud data transfers so developers can focus on building and scaling applications with their time-series data. These updates enable InfluxDB Cloud to become a serverless data consumer through easily configured topic subscriptions, greatly simplifying time-series data pipelines and applications.”