Data-as-a-Service (DaaS)
Data-as-a-Service (DaaS) Overview
Top Rated Data-as-a-Service (DaaS) Products

These products won a Top Rated award for having excellent customer satisfaction ratings. The list is based purely on reviews; there is no paid placement, and analyst opinions do not influence the rankings. Read more about the Top Rated criteria.
Data-as-a-Service (DaaS) Products
(1-25 of 103) Sorted by Most Reviews
The list of products below is based purely on reviews (sorted from most to least). There is no paid placement and analyst opinions do not influence their rankings. Here is our Promise to Buyers to ensure information on our site is reliable, useful, and worthy of your trust.
Infor Birst offers multi-tenant cloud BI for deployment in a public or private cloud, or on-premises. It provides an in-memory columnar data store and a BI layer comprising a reporting engine, predictive analytics tools, mobile native apps, dashboards, discovery tools, and an open…
Key Features
- Drill-down analysis (78)80%8.0
- Customizable dashboards (77)80%8.0
- Formatting capabilities (77)70%7.0
Neilsen Marketing Cloud includes a Data Management Platform (DMP), Media Planning and Optimization, Data as a Service (DaaS), Multitouch Attribution Analytics, Inflight Analytics, and integrations to different digital media channels as well as to content marketing, creative testing,…
Key Features
- Data Analysis Dashboard (6)95%9.5
- Collection of first-party data (6)87%8.7
- Audience taxonomy (6)85%8.5
Learn More About Data-as-a-Service (DaaS)
What is Data-as-a-Service (DaaS)?
Data-as-a-service (DaaS), alternately data services, describes a number of data on demand products available to enterprises. The advantage of the DaaS model of obtaining data is that the vendor manages data storage and preparation, ensuring data quality and data cleansing themselves. By providing the data in a usable state they bear the cost of both time and money.Data-as-a-Service (DaaS) Features
Data services, or DaaS, provide the following benefits and features:- Data prepared by vendor, delivered ready to use
- Can be integrated into larger data set to increase analytic validity
- Can be integrated into CRM, or other sales / marketing systems
- Data updates are the responsibility of the vendor