SAN FRANCISCO, August 23, 2022 — InfluxData, creators of the leading time series platform InfluxDB, today announced new serverless features to accelerate the collection, processing, and storage of time series data in InfluxDB Cloud. Native InfluxDB Collectors allow developers building with InfluxDB Cloud to subscribe, process, transform, and store real-time data from messaging and other public and private brokers and queues. a single click. Currently available for MQTT, Native Collectors introduce the fastest way to get data from third-party brokers into InfluxDB Cloud without the need for additional software or new code.
Time series data comes from many different sources and widely distributed assets and applications. To make sense of all this data, developers need to consolidate time series data into a central location. However, pipelines from data sources to database are complex and require resource-intensive customizations, which creates additional challenges for developers. Other systems require a middle layer to transfer and transform data from external systems to the cloud. InfluxDB Native Collectors speeds this process by removing this middle layer, allowing cloud data sources to connect directly to InfluxDB Cloud so developers can collect, transform, and store time series data in cloud environments directly and without rewriting. coded.
“Data is born in the cloud at an exponential rate, but existing data pipeline tools that integrate multi-vendor cloud services are expensive, complex, and difficult for developers to manage,” said Rick Spencer, vice president of product, InfluxData. “With Native Collectors, we’re accelerating data transfers between devices and the cloud so developers can focus on building and scaling apps with their time-series data.” These updates enable InfluxDB Cloud to become a serverless data consumer through easily configurable topic subscriptions, dramatically simplifying time series data pipelines and applications.
According to Gartner®, “Organizations want to make decisions faster and with more confidence. Data and analytics (D&A) managers are under pressure to support these decisions with high-quality data governed by a range of users, use cases, architectures, and deployment options. Data management teams are often too busy responding to (execution-focused) requests to ensure data availability. This leaves them little time to focus on empowerment and innovation. Many D&A leaders expect cloud migration/modernization to solve the above problems and bring additional time and cost savings. »
Accelerate cloud time series ingestion with native InfluxDB collectors
InfluxData’s native collectors give teams a faster way to ingest time series data into the cloud in a single step and without customization, orchestration, or additional hosting services. After setting up service-to-service integrations between third-party brokers and InfluxDB Cloud in a few simple steps, users can:
- Ingest data with simple low-code setup: Ingest data into InfluxDB Cloud with one click and without writing code for immediate processing.
- Contextualize data across distributed architectures: Connect native collectors to device-to-cloud data streams to improve application operations, performance, and security.
- Reduce complexity with platform consolidation: Consume data directly into InfluxDB Cloud through standard subscriptions with no additional agents or coding. Removes the need to perform InfluxDB-specific processing in third-party platforms or code.
- Offer real-time data ingestion: Faster data integration and ingestion with unprecedented simplicity, speed, and scalability, right from the InfluxDB Cloud UI.
- Out-of-the-box filtering and data processing: Enrich, format and process data before it is ingested into InfluxDB Cloud for analysis. Reduce storage costs with automatic data filtering.
“We are seeing new and rapidly growing workloads within our cloud-native MQTT service, but most developers are struggling to effectively offload this data into a time-series database,” said Ian Skerrett, VP -President of Marketing, HiveMQ. “InfluxData’s native collectors eliminate this challenge, move integration workloads from database to database, and turn InfluxDB Cloud into a simple MQTT client – a model that application and software developers IoT understand and regularly use.”
Native MQTT is immediately available to InfluxDB Cloud users. Additional native collectors for Apache Kafka and AMQP are planned for late 2022, with new collectors to be deployed in the future. For more information on how to get started, visit the InfluxData website.
* Gartner, “Strategic Roadmap for Moving Data Management to the Cloud,” Robert Thanaraj, Adam Ronthal, Donald Feinberg, March 21, 2022. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the United States and internationally and is used herein with permission. All rights reserved.
About InfluxData
InfluxData is the creator of InfluxDB, the leading time series platform. We enable developers and organizations, such as Cisco, IBM, Siemens, and Tesla, to build real-time IoT, analytics, and cloud applications with time-stamped data. Our technology is specifically designed to handle the massive volumes of data produced by sensors, systems or applications that change over time. Easy to start and scale, InfluxDB gives developers time to focus on the features and functionality that give their applications a competitive edge. InfluxData is headquartered in San Francisco, with a workforce spread across the globe. For more information, visit www.influxdata.com.
Source: InfluxData
