1、State of the Database LandscapeThe State of the Database Landscape 202623ContentsKey findings The fight for control Which teams work across database systems?How well do these teams coordinate?How do organizations monitor their databases?How do teams typically test and deploy database changes?Which t
2、ools most need to support multiple platforms?Control in summaryThe complexity reboundWhats changing:the shape of database estates Adoption of multiple database platforms Which database platforms,and how are they being used?Where are they being hosted?Why is it happening?Whats driving multi-platform
3、usage?Whats driving cloud/hybrid usage?What are the consequences of complexity?Challenges of multi-platform management Challenges of cloud/hybrid managementComplexity in summaryOpening thesis6891011121415161717194 AI without strong foundations AI adoption has accelerated rapidlyAI delivers measurabl
4、e benefitsOrganizations need stronger foundations to sustain AIadoptionAI risks and concerns remain unresolvedAI usage in database management:where next?AI is reshaping roles faster than organizations are adaptingAI in summaryData security as a growing organizational riskDatabase security as a strat
5、egic priorityMulti-platform complexity intensifies security and regulatory pressuresSecurity increasingly drives cloud migration and usage decisionsThe practical burden of security is increasingData security in summaryThe data quality reckoningBig data analytics in the cloud Where data quality break
6、s down Data governance practices are lagging and fragmentedAutomation and AI as a response to test data challengesData quality in summaryMethodology2829303220212122232324273435363738394044454647474942505152The State of the Database Landscape 202645Opening thesisTalk to any DBA or database engineer t