Everything You Need to Build Faster

A deep dive on NewSQL databases and where they fall in the broader database landscape.

HarperDB and Dianomic Systems collaborate to contribute the HarperDB Plugin to the Fledge open-source framework for industrial edge applications. This integration enables seamless data storage and analytics from edge to cloud, simplifying IIoT projects and promoting Industry 4.0 goals.

This article will provide an overview on database architectures, including use cases and pros and cons for each of them.

HarperDB releases HarperDB Cloud, a fully managed and hosted cloud offering with easy scalability, built-in API, SQL and NoSQL capabilities, and 24/7 support. It simplifies data management for developers and offers a free trial.

This article introduces Database-as-a-Service (DBaaS) as a way to eliminate the hassle of installing, configuring and maintaining databases for new projects. It highlights how DBaaS lets developers focus on building features instead of managing infrastructure.

This post examines the concept of polyglot persistence—using multiple data storage technologies for one application—and argues that mixing databases often adds needless complexity. It suggests that choosing a single versatile database can simplify development and improve performance.

This article explores the rise of multi-tier database architectures, where applications use several different database products for streaming and other workloads. It outlines why this pattern adds operational complexity and inconsistent data that can outweigh any benefits.

HarperDB introduces new features enabling real-time geo-analysis, storage optimization for edge devices, and large-scale data analysis, empowering companies in IoT projects. These advancements provide a competitive edge without incurring additional costs.

HarperDB announces the availability of HarperDB Studio, offering an intuitive interface for end users, DBAs, and data scientists to access and share real-time data for analytics. It simplifies the data value chain and enables faster decision-making without third-party tools. Key features include search and graphing capabilities, schema management, security management, and advanced log management.

HarperDB, an enterprise database company, launches a HTAP database solution for developers. It simplifies data management, offers real-time analytics, and supports IoT projects, app development, and enterprise data warehouses.

The post demystifies the buzzword ‘real-time’ by comparing true real-time analytics, which delivers insights within seconds, to near real-time approaches that introduce delays. It explains why low latency matters for up-to-the-minute business decisions.

In honor of Women’s History Month, the author reflects on the women mentors who shaped his views on business, leadership and life. He expresses gratitude for their influence and highlights the value of diverse perspectives without attempting to prescribe solutions.

Kyle describes the benefits of using distributed cache to lower costs and improve performance.

HarperDB, an enterprise-class database company, launches a powerful HTAP database solution for developers. It offers a single model for structured and unstructured data, simplifying database management and eliminating the need for multiple products. HarperDB is suitable for IoT projects, app development, and enterprise data warehouses. It can run on the edge or in the cloud, providing real-time analytics and simplifying inter-device communication. HarperDB's lightweight and distributed computing capabilities make it ideal for various industries, including healthcare. It offers free community and enterprise editions for different project scales.

This article debunks the myth that Node.js can’t handle parallelization because it’s single-threaded. It shows how Harper’s Node-based database uses worker threads and other techniques to achieve parallel processing and high performance.

Fred discusses Harper's experience at Node.js Interactive 2017 in Vancouver, BC.

The author explains why Harper is written in Node.js instead of more traditional languages. He describes how Node’s event-driven model and serverless compatibility make it a good fit for building a modern database.