Data-as-a-Service Examples

Table of contents

DaaS covers the entire data category landscape, from weather data to web data. There’s a DaaS provider for most of the data categories listed on Datarade Marketplace. In general, data that can be delivered via API can be treated and sold as DaaS. For example, geospatial data providers typically deliver location and mobility data via API. That’s because temporality and recency is important for many use cases requiring geospatial intelligence. If you need to understand live mobility trends, it’s no use buying a historical footfall database (for example as an S3 bucket batch file). Real-time delivery via API is crucial.

Is your data suitable for DaaS?

For this reason, some data categories don’t really lend themselves to the DaaS model. For such categories, it doesn’t matter if the data is delivered on-demand or in real-time. In many instances, it’s impossible to delivery data at such notice.

Examples of time-critical data delivery

For example, census data is subject to the government’s collection and distribution timeframe. And it certainly isn’t delivered in real-time. It could also be that the data product is explicitly built to only offer historical data. Some transaction data providers operate like this: they compile databases of consumer purchase history using panels covering an elapsed time frame.

Use case is key

Essentially, the same rules which apply to Big Data in any format also apply to DaaS. One of these key rules? Data is only as valuable as the use case it’s attached to. A crucial part of data-as-a-service is the provider’s capability to serve your specific use case. Whatever your challenge, the data should provide the insights you need to solve it. In this sense, DaaS is the same as any other service or product: its fundamental purpose is to address the customer’s pain points.

Monetize your data

150+ data companies use Monda's all-in-one data monetization platform to build a safe, growing, and successful data business.

Explore all features

Related articles

Monda makes it easy to create data products, publish a data storefront, integrate with data marketplaces, and manage data demand - data monetization made simple.

Data-as-a-Service

Data-as-a-Service vs Data-as-a-Product

Lucy Kelly

Data-as-a-Service

How Does the Data-as-a-Service Business Model Work?

Lucy Kelly

Data-as-a-Service

Main DaaS Companies in 2024

Lucy Kelly

Monda Logo

Grow your business with one data monetization platform.

Get a demo

Messages from Monda, straight to your inbox

Sign up to our newsletter to be the first to know about every product update and event.

© Monda Labs, Inc. • 2024 • All rights reserved.