About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Nasdaq Launches Cloud Data Service

Subscribe to our newsletter

Nasdaq has finally launched its new long-awaited Cloud Data Service (NCDS), offering access to real-time exchange data, index, and fund data through cloud-based technology from Amazon Web Services (AWS).

The solution makes Nasdaq data available through a suite of scalable, cloud-based Application Programming Interfaces (APIs), which utilise open-source delivery standards and a software development kit (SDK) to fast-track engineering efforts. The idea is that this should eliminate the need for hardware procurement, proprietary protocols, file formats, and leased lines; enabling the easier integration of data from multiple sources – and, in theory, a substantial reduction in time to market for customer-designed applications.

“Nasdaq Cloud Data Service is a significant advancement in the financial data space, as it uses the cloud to stream important, real-time market data tailored to our clients’ specific needs,” says Lauren Dillard, EVP and Head of Global Information Services at Nasdaq. “Adding the cloud to the data equation through our collaboration with AWS is a big win for investors.”

The offering is compatible with multiple cloud providers and was created to deliver lower latency and higher performance for entrepreneurs, fintech firms and traditional financial services applications.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Data platform modernisation: Best practice approaches for unifying data, real time data and automated processing

Financial institutions are evolving their data platform modernisation programmes, moving beyond data-for-cloud capabilities and increasingly towards artificial intelligence-readiness. This has shifted the data management focus in the direction of data unification, real-time delivery and automated governance. The drivers of this transition are improved operational efficiency as manual processes are replaced by faster, more accurate automated...

BLOG

BMLL and Features Analytics Target Surveillance Benchmarking with Level 3 Order Book Data

BMLL and Features Analytics have partnered to develop new trade surveillance benchmarking and market integrity analytics built on reconstructed historical order book data, signalling a shift towards more measurable, performance-driven surveillance frameworks. Under the agreement, Features Analytics will build and commercialise surveillance benchmarking products on top of BMLL’s harmonised historical Level 3, 2 and 1...

EVENT

Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...