Everything You Need to Build Faster

Edison Interactive partners with HarperDB to reduce latency, improve content delivery, and enhance the end-user experience in connected device ecosystems.

Learn the basics of distributed databases, including duplication, fragmentation, heterogenous data models, homogenous data models, and more.

Follow along with Dennis Ivy to build a fullstack CRUD notes app with Harper, FastAPI and React JS.

Harper is more than a database, it is a data fabric and decision making platform.

this article takes a deeper dive into considerations for improving the performance of specifically mobile apps.

Going over the history of Edge Persistence as well as who needs it the most and why.

This blog goes over certain use cases for a low latency distributed database, and demonstrates the need for both vertical and horizontal scaling.

Here we go over what Serverless actually means, the pros and cons of serverless architectures and how to go about getting the best deal.

This article will dig into some of the existing architectures that cause latency and provide solutions on how to resolve them.

This blog explains both data lakes and geo distribution in non-technical terms and how powerful they can be when combined.

Margo discusses cloud data management challenges and how to leverage the edge in a hybrid cloud solution.

This post covers strict schema enforcement, schemaless, and dynamic schema, including the pros and cons of each one.

Margo summarizes Stephen's speech at a Women Who Code meetup to share the story of this (what some called crazy) endeavor. Stephen discussed the architectural layers of Harper, demonstrated how to build a highly scalable and distributed product in Node.js, and demoed the inner workings of the database.

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.