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Picking a data management solution just got easier

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Offering Manager, IBM

Organizations are collecting terabytes of data in hopes of finding correlations and connections that drive sales. You’re likely handling more data than ever, managing files, documents, images, PDFs, videos, and all kinds of other data. With such explosive growth of unstructured data and ever-increasing demands of governmental compliance rules and regulations, an effective, flexible and cost-efficient data storage strategy is crucial. 

To stretch the IT budget even further, many companies are looking to take advantage of cloud storage. In the climate of constant technology change, it’s not surprising that organizations are scrambling to identify a data management solution that fits their unique environment. The freedom of choosing the right data source to fit an organization’s data storage strategy is the key to robust data management process. 

How to choose a robust data management solution

At first glance, many data management platforms look the same, and choosing the right one to fit your unique environment can be a challenge. Before you start the selection process, review your data strategy and consider these questions:

  • What are your organization’s goals?
  • What are you hoping to accomplish with data management tool?
  • Do you want to be able to organize your data into one single platform and manage it in place?

Data management tools should be all about managing the data. It should not constrain you by limiting the choices of data storage that you can manage with the tool. 

Introducing IBM StoredIQ

IBM StoredIQ provides insight and ability to take actions on data over a wide variety of data sources. It provides the ability to manage the data in place and supports more than 85 data sources out of the box. It uses a connector as a uniform interface to a data source by which StoredIQ accesses objects in a data source. As data storage and management demands differ for every organization, you shouldn’t be constrained to only use out-of-the-box supported data sources when choosing a data storage. 

IBM recently announced StoredIQ Connector SDK, which can be used to create custom connectors for data sources that StoredIQ doesn’t support out of the box. It can also be used to customize or extend an existing connector. Once you create a new connector, you can use it to manage data in StoredIQ, just like you do with supported data sources. The Connector SDK provides a library with a well-documented interface that can be used to implement a new connector. 

Areas of Functionality

The connector developed with the SDK will have the same features as any other StoredIQ-provided data source, with some exceptions. Once a new connector is deployed, a user will be able to add or edit a volume, run a harvest, perform actions, search and generate reports on the volume, like any other StoredIQ connector. Some other salient features of the new release include:

  • Read and write abilities to develop connectors when using Connector API
  • A working sample read/write connector implementation for NFS that is completely SDK based is included for reference
  • Connectors can be tested by integrating with live data server
  • New connector code will not interfere with StoredIQ behavior, unless it is activated by means of Add Volume, and so on
  • A detailed document about the API, administration and Sample Connector is also included in this release

The ability to connect to these data sources, unsupported by StoredIQ, is of great value for StoredIQ users. Join our webcast — Build custom connectors for data sources with StoredIQ connector SDK  on October 17 to learn more.