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HarperDB joins 5G innovation lab to empower startups with faster, cheaper 5G app development

HarperDB crowned top Denver startup by HackerNoon! Our unified data platform wins 2023 Startup of the Year. Try HarperDB today.

The journey through the evolution of database systems and their programming reveals a landscape where technology has grown in complexity and sophistication. For database programmers, this evolution underscores the importance of continuous learning and adaptation for database programmers. Skills in data modeling, SQL tuning, and understanding modern tools are more crucial than ever.

HarperDB Celebrates Five Built In Awards, Highlighting Top Workplace Culture

Choosing the right big data database is a journey that involves careful consideration of various factors, from the nature of your data to the long-term implications of your choice. It's about balancing the technical with the strategic, ensuring that your decision not only meets your current needs but also positions you well for future challenges and opportunities in the ever-evolving world of big data.

Introducing HarperDB 4.2, a groundbreaking release that unifies our lightning-fast database with application and data streaming systems to create a hyper-efficient backend solution. HarperDB helps developers deliver superior results with faster project delivery and improved performance.

The article emphasizes the significance of observability for maintaining dependable and reliable systems, particularly in complex databases, with a focus on tailoring metrics for different database clusters. It highlights the role of tools like Prometheus and OpenTelemetry in collecting and analyzing critical performance metrics and ensuring prompt issue resolution through alerting mechanisms like Slack, email, and PagerDuty.

Diagonal scaling represents a paradigm shift in data storage and cloud computing, offering an intelligent and responsive approach to resource management. By seamlessly blending vertical and horizontal scaling techniques, it provides the agility required to thrive in today's dynamic business environment. Embracing diagonal scaling can lead to improved performance, cost savings, and greater control over your infrastructure, making it a valuable tool for businesses of all sizes.

This article explores two main caching strategies: passive and active caching, highlighting their benefits and drawbacks. Passive caching stores data in response to user requests, while active caching proactively loads data to reduce latency, with subtypes like eager loading and origin offloading. Both strategies have their place depending on system requirements, and a balanced hybrid approach can enhance user satisfaction and system reliability.

Discover the future of application acceleration with Distributed Cache - a game-changing solution between CDNs and origin servers. Unmatched cache performance, new data types caching, SEO dominance, revenue boost, and industry-tailored scalability. Join us in redefining content delivery for a faster, more profitable, user-friendly experience.

Three main data processing methodologies have emerged as dominant, including real-time, batch, and stream processing, each with its unique applications and advantages in the ever-evolving landscape of data management.

Edge Machine Learning is a revolutionary technology that enables devices to perform AI tasks locally, reducing latency, enhancing data privacy, and enabling real time decision making. It has significant applications in healthcare, autonomous vehicles, industry 4.0, retail, agriculture, and more.

HarperDB is making mobile computing experiences even easier and faster to develop and deploy with a new turnkey, self-service solution that leverages Verizon's 5G Edge and AWS Wavelength.

HarperDB announces the launch of the HarperDB Dev Center, empowering developers and enterprises with 70 tutorials spanning 60 technologies and 10 programming languages. Simplified enterprise development with their Unified Backend technology.

HarperDB, a globally distributed data and application platform, is now available on the DigitalOcean Marketplace. This milestone offers developers an easy-to-use, scalable, and secure database solution in the cloud.

High throughput databases are one of many innovations that have emerged during the past few years of technological innovation and growth. As the digital landscape evolves, there will be significant improvements in the implementation and design of high throughput databases to power even more complex and robust systems than we see today.

HarperDB's enterprise development platform is now deployable on Red Hat OpenShift, enabling efficient application development and supporting various environments. The certification highlights their commitment to enterprise-grade solutions.

HarperDB and Akamai Technologies join forces in a groundbreaking co-selling partnership, uniting HarperDB's innovative distributed application platform with Akamai's renowned expertise in security and global traffic management.

Harper has switched to threads beginning with v4.1 with good reasons. Thread-based HTTP concurrency has provided significantly more control over routing for Harper, better memory/resource utilization, along with improved debugging that is afforded by using native worker threads.

HarperDB partners with StackPath to bring co-located data + compute to the edge—cutting latency, simplifying dev, and reducing cloud costs for global apps.

Edge data platforms and real-time services are two solutions focused on solving the challenges of modern data management, and they are quickly gaining popularity among businesses. In this article, we will explore what edge data platforms and real-time services are, why they are important, and how they can be used.