Skip to main content

Dropbox releases API for developers

[PLACEHOLDER]

By: Herak
 
Dropbox hosted their first developer conference called DBX this month and they had some exciting news for developers. Dropbox released their API (Application Programming Interface) for developers which will allow developers to build apps that can store program level data on Dropbox and retrieve them. Dropbox calls them Datastores and as Houston says it’s “Dropbox’s way of moving beyond files and storing other information”. The Datastores will run in the background and will constantly sync up program level data to the cloud from whichever devices the program is running. Thus when a user switches between devices the program will always remember it’s latest state.  


Imagine you are building an app like Angry Birds for multiple devices. Now if you take advantage of Dropbox API you can give the user a seamless experience of playing the game when he switches between devices. For instance let’s assume a user is playing the game on his smartphone while commuting from work. However when he reaches home he wants to continue playing the game where he left off on his smartphone. By storing the program level data such as level, score, etc on Dropbox you can allow the user to do exactly that. And the best part is you don’t have to implement all these features from scratch. You can simply take advantage of the Dropbox API.


I think this is a smart move by Dropbox to tap into a new market. Dropbox have been hugely successful in the consumer market with more than 175 million users worldwide. Now with Datastores they are hoping to do the same in the developer (Business to Business) market. This will also create a new revenue stream for the company as other app developers and companies take advantage of this feature they would need more and more cloud space and I am sure Dropbox won’t be providing that space without charging.


As Dropbox CEO Drew Houston puts it “We are replacing the hard drive, I don’t mean that you’re going to unscrew your MacBook and find a Dropbox inside, but the spiritual successor to the hard drive is what we’re launching.” With Datastores they are one step closer to this vision. 

Trending posts

Rethinking Canadian Economic Sovereignty Amid Foreign Acquisitions

About a year ago, I attended the Elevate Festival in Toronto, which I recommend if you haven't had the chance to experience it. The event was very inspiring because of its focus on business, technology, and entrepreneurship. It was interesting to see people at various stages of their careers; some executives, others developing their startups, a few in between, and some simply there to gain insights and knowledge. There was a unique atmosphere, influenced by the current political situation between Canada and the US. Many discussions centred around data sovereignty, cloud infrastructure independence, and ensuring that Canadians' data remained safe and secure within the country's borders or trusted allies. Building trust requires considerable effort, yet it can be shattered very quickly… and once broken, repairing it becomes extremely difficult, if not impossible. Considering the current geopolitical landscape, it is unclear where we go from here... but it seems the rules hav...

Reimagining Digital Experience Management: How Agentic AI is Transforming Adobe Experience Manager

 Adobe Experience Manager (AEM) has introduced powerful new Agentic AI capabilities designed to continuously improve and adapt digital experiences at the speed of AI. By integrating advanced AI orchestrators through Agent-to-Agent (A2A) and Model Control Protocol (MCP) tools, AEM enables brands to automate complex workflows and enforce compliance seamlessly across enterprise ecosystems. Through a suite of specialized agents, teams can transition from manual, weeks-long processes into fast, AI-assisted workflows powered by simple natural language prompts. Photo by Tunahan KALAYCI via Pexels   Here is a breakdown of the key agents driving AEM’s new Agentic capabilities, their value propositions, their guardrails, and their current availability status. 1. Brand Experience Agent. Overview. The Brand Experience Agent accelerates digital modernization through specialized sub-agents—the Experience Modernization Agent, Experience Production Agent, and Experience Development Agent. Tog...

Steer for a talent transformation strategy (and avoiding AI fatigue)

 There was a debate on whether to feature the term “AI” in the title of this article. Honestly, a key motivation for pursuing the research that led to this post was sparked by the widespread excitement about AI appearing constantly in our LinkedIn feed, to the point of feeling the fatigue, and even a bit disappointed in the algorithm of this, and the others, social media and content curated apps.  We soon discovered that there is an entire concept called "AI fatigue", not exactly how we were feeling it, but more about the mixed emotions people in the workforce have regarding the use of AI tools. Photo by Mart Production via Pexels (background updated with AI and Adobe  tech) From micro blog posts to video podcasts, lately, most of the tech content we encounter revolves around AI. They often sound or read very similar, usually mentioning the same few top providers. The articles (and social posts... at least the popular ones with paid-campaigns behind it) tend to focus less...

AI Beyond the Hype: Responsible Adoption for Lasting Impact

 These days, simply mentioning “AI” isn’t going to win anyone over. Clients expect authentic, data-driven results—not just bold claims or industry jargon. The expanding reach of AI brings some real concerns with it, such as errors, bias, and privacy risks are all in the mix. If those issues aren’t addressed, trust can erode quickly. It also affects an organisation’s dynamics, operations, and culture—regardless of size—including shifts in client relationships as expectations evolve. What can set a tech-consulting firm apart, among other things, is the dedication to building AI solutions on foundational values like fairness, transparency, accountability, privacy, security, and reliability. In other words, Responsible AI can be hard work, and it is a genuine differentiator. If an organisation can ensure the solutions implemented are ethical, clear, and consistently trustworthy, then it is likely it will foster customer confidence and loyalty. Photo by Google DeepMind from Pexels ...

This blog uses cookies to improve your browsing experience. Simple analytics might be in place for pageviews purposes. They are harmless and never personally identify you.

Agreed