Data is a first class citizen in today’s business world. Whether you’re a mega enterprise or a startup, you have two important questions to answer if you want to thrive: “What data do I have? What can I do with it?” 

This isn’t us talking, it’s Adam Kocoloski, CTO, Cloud Data Services at IBM. He and his team unveiled a whole new suite of cloud data services today on IBM’s Bluemix Platform-as-a-Service. 

We’re talking about more than 25 services to be precise.

They're geared towards developers who demand open source technologies, but who also want to work with their favorite databases and other technologies. And with IBM handling the things that don’t require their brainpower and ingenuity, developers have more time to be creative.

Come Play in Our Sandbox

These new products and services are all based on open source technologies in open ecosystems that include company and third-party data, and open architectures so that data can flow easily. As hybrid cloud services, they can be deployed across multiple clouds.

Kocoloski told CMSWire the aforementioned are a “must have” if you want to attract the better engineers and developers. And in a data-driven world, who's going to say they want second rate engineers and developers? 

The four main services are:

  • IBM Compose Enterprise: A managed platform designed to help development teams build modern web-scale apps faster by enabling them to containerize and  deploy business-ready open source databases, like MongoDB,  Elasticsearch, Redis, PostgreSQL, RabitMQ in minutes on their own dedicated cloud servers
  • IBM Graph: The first fully managed graph database service built on Apache TinkerPop that provides developers a complete stack to extend business-ready apps with real-time recommendations, fraud detection, IoT and network analysis uses. TinkerPop can be used with many databases, again giving the developer freedom to explore
  • IBM Predictive Analytics: A service that allows developers to build machine learning models from a broad library without the help of a data scientist. When included in applications, these models can help deliver predictions for specific product use cases
  • IBM Analytics Exchange: An open data exchange that includes a catalog of more than 150 publicly available datasets that can be used for analysis or integrated into applications.

The Right Stuff?

IBM’s big challenge in the big data age is to lure companies to its cloud and developers, data scientists and engineers to its cloud platform. The test here is whether the minds of developers whose auto-default is AWS can be opened (and IBM’s raising awareness is the first step) and whether CIOs can be convinced that IBM is laser focused on its cloud-play and the services that it provides around it. There’s so much going on at Big Blue.

Kocoloski seems certain that IBM has got what it takes, and as an entrepreneur and data enthusiast who helped build the market, he’s the right man for the job.

There’s also this to consider: IBM is investing big time in open source Spark and has committed thousands of developers (we’ve heard as many as a million) to it. That in itself could influence the future.