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Report: NoSQL Databases – Providing Extreme Scale and Flexibility

Summary:

As the data landscape changes, so must the databases used to gather, store and analyze the rich information within them. Consumer-facing Internet companies are able to scale by using NoSQL data stores, and CIOs can learn from what’s worked for hugely successful web sites. Here, we offer a number of recommendations for enterprise decision makers.

  1. Table of Contents
  2. Executive Summary
  3. Overview
    1. Limitations of RDBMS Solutions
  4. A New Alternative Emerges: NoSQL and Unstructured Databases
  5. NoSQL Market Overview
  6. NoSQL Project Profiles
    1. Key-Value Store
    2. Prominent Key-Value Store Project Analyses
    3. Tabular or Columnar Data Structures
    4. Prominent Tabular/Columnar Data Structures Project Analyses
    5. Document Stores
    6. Prominent Document Store Project Analyses
  7. NoSQL: What is it Good For?
    1. Example 1: Extreme Scalability
    2. Example 2: Agility and the Requirement for Complexity and Flexibility
    3. Example 3: Huge Volumes of Similar Data Objects
    4. Example 4: Replacing Inefficient SQL Operations
    5. Example 5: Distributed Databases (Combining Internal and External Platforms)
  8. Recommendations
  9. Key Takeaways for Enterprise Decision Makers
  10. Conclusion
  11. Appendix A: Key Terminology
  12. About Sarrel Group
  13. About GigaOM Pro