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HarperDB for IoT Launches Today

Posted by Stephen Goldberg on February 06, 2018
Stephen Goldberg
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Today, we’re excited to announce the launch of HarperDB for IoT, the only enterprise class database solution available to run on the edge. We built HarperDB to empower IoT initiatives by tackling massive big data challenges with a solution, that leverages an HTAP model, to internalize complexities and simplify the process of ingestion to analytics.


Global spending on IoT is expected to reach $1.4 trillion by 2021, according to IDC, with new IoT initiatives popping up every day, across every industry. Despite the growing need, there is a lack of database solutions built to simplify the complexity of big data in IoT projects. There is no database solution on the market for IoT that is simple, secure and scalable, and covers the entire data value chain of IoT from ingestion to actionability.


We designed HarperDB to eliminate the complexity of IoT projects with a simple and secure database solution that doesn’t compromise scale and performance. HarperDB enables companies to gain deeper insights into their physical assets by directly collecting and analyzing data from the edge in real-time.

“There are a few reasons why HarperDB stands out for IoT. It can be installed in any hardware due to its size, plus packs more functionality in less space,” said Karl Müdespacher, CEO and developer, Expertos en Sistemas, a leading information technology company. “The solution allows us to manage thousands of IoT devices, combining structured and unstructured data, while leaving HarperDB to handle versioning and concurrency. We can also integrate our Visual Content Analysis data in a single database that can integrate itself with centralized databases for more complex A.I. processing."


Key features of HarperDB for IoT include:

  1. Written in Node.js with a 65MB install footprint
  2. Can be installed directly on an IoT Device
  3. Stateless, so uses almost no CPU, RAM, or battery at rest
  4. Distributed computing directly on the edge
  5. Clustering and replication allows for distribution of queries and data loads across a network of devices or replication of data back to a single vertically scaled server for deeper analytics
  6. Ingest high-velocity data for real-time reaction and value return

HarperDB is being used across industries, such as logistics, healthcare, retail, and many others. For logistics, HarperDB has been installed on micro-devices, such as trucks, to track logistical data e.g. heat, GPS location, wear and tear. This data can be retrieved in real-time on the edge or to a central location and integrated into Oracle’s Platform and ecosystem.

Major hospitals are installing HarperDB on micro-devices to track real-time patient data with the goal of increasing resource utilization and improving quality of care. In a clinical setting, HarperDB provides distributed data processing and data management on the edge by utilizing lightweight enterprise class technology needed for clinical IoT initiatives.

If you’re working on an IoT initiative, our community edition is optimized for prototyping and building smaller scale projects. You can give it a try with a free download here. For those looking to tackle larger scale projects, HarperDB offers an enterprise edition which includes clustering and analytics drivers. Contact HarperDB at hello@HarperDB.com for the enterprise edition.



Topics: IoT, Industrial IoT


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