ARIVA-Blog
ARIVA-Blog

In short, what financial data providers are there?

The main financial data providers in the DACH region are Bloomberg, Morningstar, SIX and ARIVA.
While global providers provide a broad market coverage, specialized providers like ARIVA more data depth, flexible APIs and stronger focus on specific applications.

Why financial data are crucial

If you are running financial applications, you know that no reliable financial data is available.
Whether trading platform, financial portal or wealth management solution, at the end, the data quality decides how well represented products are compared and understood.

And this is where the spruce separates from the wheat.


The most important financial data providers at a glance

Among the best known providers are:

  • Bloomberg
  • Morningstar
  • SIX
  • ARIVA

International providers such as Bloomberg or Morningstar are globally positioned and cover many markets. At the same time, there are specialized providers that consciously focus on certain areas and go significantly deeper there.


Direct comparison: Global vs. specialized

SuppliersStrengthTypical use
BloombergGlobal data coverageBanks, institutional investors
MorningstarFund and research dataAsset management, consulting
SIXEuropean market dataExchanges, banks
ARIVAStructured Data & APIsExchanges, Banks, Brokers, Fintechs, Financial Portals, Wealth Management

The difference is shown in practice: width is good, but depth decides.


What really matters with financial data

Depending on the application, different factors are important. In reality, however, these points are usually:

  • Quality and timeliness of data
  • depth and structure of master data
  • Availability of financial data APIs
  • Coverage of relevant asset classes
  • Calculation of key figures

Especially in structured products it becomes quickly complex. And there are many vendors at borders.


ARIVA: Financial data from practice – since 1998

ARIVA was founded in 1998 and is now one of the established providers of financial data in the DACH region.

Our approach is simple: data need not only be there, they need to work. We have been working with renowned partners and customers for many years, including:

  • Deutsche Börse
  • berse.de
  • Smartbroker+
  • sbroker
  • Assets
  • Helaba
  • Norkon
  • NuWays
  • Finaplus

These are not “logos for the website”, but real applications from practice. You will get detailed insight into our projects here. Our data is running in:

  • Trading platforms
  • Financial portals
  • Wealth Management Solutions

Which supplier is suitable for whom?

The choice depends heavily on the range of applications:

  • Banks → often several data sources
  • Broker → fast, clean display
  • Fintechs → flexible APIs
  • Wealth Management → Key figures & analysis

There is not “the one provider” but the right one for your use case.


Why specialized providers become increasingly important

With new topics such as the retirement deposit, the requirements for data increase significantly. What is needed today:

  • consistent master data
  • comparable products
  • Loading key numbers

Specialized providers are gaining importance here.


The data decide

In the end, it is easy: good applications need good data. Those who only rely on range often get wide but flat data.
Anyone who sets on quality and structure gets a basis on which applications really work.


FAQ: Frequent questions about financial data providers

Which financial data provider is the best?

This depends on the bet. For global markets, providers like Bloomberg are strong. Specialized providers such as ARIVA are often better suited for structured data and APIs.


What is the alternative to Bloomberg?

Alternatives include Morningstar, SIX or specialized providers such as ARIVA, depending on the application.


What are financial data APIs?

Financial data APIs allow to automatically integrate market data into applications e.g. in trading platforms or financial portals.


Why are master files so important?

Without clean master data, financial products cannot be correctly represented or compared.


👉 More to our financial data APIs and solutions!

👉 Example für einen globalen Anbieter!