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ViaSat Selects eXtremeDB from McObject to Optimize Metrics Data from its Satellite Ground Network. Read the press release.

McObject’s new eXtremeDB® v.7.1 offers better speed, enhanced security and greater flexibility. Learn more.

Read "Industrial Internet of Things (IIoT) Database Usage in Rail Systems" Insight.Tech.com eXtremeDB
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"2016 TOP STORIES: Gartner's 19 In Memory Databases for Big Data Analytics" Find 
eXtremeDB on Gartner's independent list.

Read the ODBMS.org article, "On the Challenges and Opportunities of the IoT, Interview with Steve Graves".
 

Listen to the free "Scaling IoT Applications Panel Discussion Part II - Industry Examples and Architecture" Webcast.

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XtremeDB Financial Edition DBMS sweeps records in Big Data benchmark. Get details.

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Embedded database indexes

B-Trees indexes are offered universally in embedded database systems, and are highly efficient for basic database search operations like exact match, prefix and range searches.

But B-Trees indexes are not ideal for certain data and access patterns. For purposes as varied as IP routing, geospatial searching and soundex algorithm development, less common indexes can be much more efficient.


For this reason, the eXtremeDB embedded database offers multiple indexes, including the following

  • B-Trees for common sorting and searches, insertions, and deletions
  • R-Trees for geospatial indexing (common in GPS/navigation systems)
  • Hash tables for quickly locating a single unique index entry
  • Patricia trie index, which speeds searches in networking and telephony applications
  • "Custom indexes” or b-trees that allow the application to define the collating sequence of entries; this is useful in implementing soundex algorithm searches, for example
  • KD-Trees or k-dimensional trees, for spatial and pattern-matching tasks and in applications where query predicates contain various combinations of object fields (for example, to construct Query-By-Example, or QBE features)

eXtremeDB's diverse index types enable the developer to significantly increase application speed when working with complex data structures, and to make important design tradeoffs involving search performance, memory consumption, and update performance.

Get more information about the eXtremeDB embedded database.