API management is the practice of publishing web APIs, enforcing usage policies, controlling access, and publishing analytics on usage. There are many established players in the space from CA, Apigee, IBM, TIBCO or 3scale. Analytics in the context of API management is usually related to the consumption of provisioned web APIs. However, API management to support analytics, or data API management, is a newer capability being driven by industry trends, such as open analytics and an advanced analytics market growing to 30 billion by 2019 per Markets and Markets.
The first element of API management design, cited in a TechCrunch article on "5 Rules for API Management," is to make the APIs accessible to different classes of developers and partners. Part of my role is to advocate for developers supporting that growing advanced analytics market across data engineers, data scientists and business analysts. API management platforms primarily provision APIs for application and process integration that leave many of those people behind, without native API design for data integration through standard interoperable interfaces such as OData (REST) or ODBC/JDBC (SQL). This is in part what is driving the trend around open analytics strategies to expose data APIs; and there is a divide between application and data integration in the industry.
The table below contrasts similar high level capabilities between data API management versus general API management:
We discussed this topic of data API management in a general session titled, “Welcome to the Era of Open Analytics," at Cloud Expo in New York City and got a great reception from developers and architects building the next generation of cloud-native applications. Learn more about Open Analytics, which extends our API Management capabilities to support data integration and external analytics for the growing developer roles in data engineers and data scientists.
Graphic Source: DataCamp
Sumit Sarkar is a Chief Data Evangelist at Progress, with over 10 years experience working in the data connectivity field. The world's leading consultant on open data standards connectivity with cloud data, Sumit's interests include performance tuning of the data access layer for which he has developed a patent pending technology for its analysis; business intelligence and data warehousing for SaaS platforms; and data connectivity for aPaaS environments, with a focus on standards such as ODBC, JDBC, ADO.NET and ODATA. He is an IBM Certified Consultant for IBM Cognos Business Intelligence and TDWI member. He has presented sessions on data connectivity at various conferences including Dreamforce, Oracle OpenWorld, Strata Hadoop, MongoDB World and SAP Analytics and Business Objects Conference, among many others.
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