MarkLogic is a leading database management system (DBMS) specialized for unstructured information. It has over 200 customers in government, media, and financial services. Its flagship product allows organizations to more effectively leverage valuable information through features like diagnostic decision support tools, metadata catalogs, and information sharing capabilities.

1. MarkLogic Overview Ron Avnur, Vice President of Engineering Version 1.3

2. About MarkLogic 200+ customers Government, Media, Financial Services 200+ employees Silicon Valley, Austin, Boston, Frankfurt, London, New York, Washington DC Flagship product is purpose-built dbms for unstructured information Patented, award-winning technology MarkLogic is revolutionizing the way organizations leverage information

3. Leverage Valuable Information More Effectively Physicians better diagnose their patients Government agencies preserve and archive national treasures Traditional media companies move to new media Wall Street analyze complex derivatives positions Soldiers share information to perform their missions more effectively MarkLogic helps:

4. Agenda Selected Customer Stories Core Technology New Features

6. Over 25 reference texts

8. Metadata Catalog

9. Information Sharing

10. Custom Publishing

11. Information Intelligence For any set of articles: - Find the most highly cited authors in a field - Find and track hot topics in specific subject areas - Check the most recent citation data on authors and articles - Track and evaluate research trends.

12. Social Applications

13. Mobile Applications Zinio Full featured online magazines New England Journal of Medicine Subscription-based application American Institute of Physics Mobile access to journals

14. Agile Content Platform

15. Application Builder

16. Agenda Selected Customer Stories Core Technology New Features

17. The Industry’s Leading DBMS for Information Applications MarkLogic enables agility, speed and scale MarkLogic Server Application Services Office Tool Kits SharePoint Connector Public and Private Cloud Deployment Options

18. Data Model A database for semi-structured information XML Data Model fpML Document Trade Product Title Author Metadata Trade Cashflow Section ID ID Last TradeLeg First TradeLeg Amount TradeLeg Event Event Event Event Section Section Section Section

19. MarkLogic Server in 8 Adjectives XML-centric Transactional Search-centric Structure-aware Schema-free XQuery-driven Extremely fast Clustered Database Server

20. The Universal Index Range Indexes UNIVERSAL INDEX Term Term List “which” 123, 127, 129, 152, 344, 791 . . . “uniquely” 122, 125, 126, 129, 130, 167 . . . “identify” 123, 126, 130, 142, 143, 167 . . . “each” 123, 130, 131, 135, 162, 177 . . . Document References “data base” 126, 130, 167, 212, 219, 377 . . . <article> . . . <article>/<abstract> . . . 126, 130, 167, … <product>IMS</product> Directory(“/articles”) Collection(Red) Role:Editor + Action:Read

21. Shared-Nothing Architecture Host 1 Host 3 Host 2 Host 4 Host 5 Host 6 Host k partition1 partition2 partition3 partitionm partition4

22. Agenda Selected Customer Stories Core Technology New Features

23. 4.2 Highlights XSLT support Flexible replication Shared-nothing failover Collector framework Filesystem collector Proximity boost Welcome page Compartment security Date/time parsing Pluggable password policy Client dictionaries for stemming Server fields AWS wrappers File upload collector New search API constraints Easier to extend App Builder Database rollback XSLT rendering in App Builder Date canonicalization pipeline Renaming pipeline Wildcard search optimizations Distinctive terms Result clustering Min / max occurs query Fast calculation of aggregates XDQP metering & Merge priority Search plan output Near-query optimizations TF normalization controls Extended query cancelling Range query caching Fast sampling Information Studio XSLT and XQuery cross-import cts:document-fragment-query Standalone properties Language detection Encoding detection Bulk load Pipeline monitoring

24. Application Builder Extensions

25. New Tool: Information Studio Easier to load content Build applications faster Features Collect Transform Configure Load Monitor

26. Information Studio API Manage flows Monitor progress Collector framework Plug-in development Custom transforms

27. XSLT

28. 4.2 Highlights: Search XSLT support Flexible replication Shared-nothing failover Collector framework Filesystem collector Proximity boost Welcome page Compartment security Result clustering Pluggable password policy Client dictionaries for stemming TF normalization controls AWS wrappers File upload collector New search API constraints Easier to extend App Builder Database rollback Standalone properties XSLT rendering in App Builder Date canonicalization pipeline Renaming pipeline Distinctive terms Min / max occurs query Date/time parsing Encoding detection XDQP metering & Merge priority Search plan output Near-query optimizations Extended query cancelling Range query caching Server fields Fast sampling Information Studio XSLT and XQuery cross-import cts:document-fragment-query Wildcard search optimizations Language detection Fast calculation of aggregates Bulk load Pipeline monitoring

29. Replication

30. Replication

31. Failover Host 1 Host 3 Host 2 Host 4 Host 5 Host 6 Host k CFS & SAN partition1 partition2 partition3 partition4

32. Failover: A New Option Host 1 Host 3 Host 2 Host 4 Host 5 Host 6 Host k P1 P1 P2 P2 P3 P3 P4 P4 Local Storage

33. Point-In-Time Recovery Have Now Bad Transaction Last Backup Want Just Before Bad Transaction Last Backup

34. Instantaneous Point-In-Time Recovery Replay journals Just Before Bad Transaction Last Backup Recover to timestamp Just Before Bad Transaction Last Backup

35. Thank You Ron Avnur ron.avnur@marklogic.com