Cloud - Data Architecture Applications

Components Performance/Risk
Period Return
1.8%
Return Rank
Below Average
Risk Exposure
High Risk

Surging numbers of data applications - from" machine-to-machine" generation (M2M) to  Articial Intelligence (AI) - are like a tidalwave pulling a very long supply chain in its slipstream

Cloud - Data Architecture Applications - is the current theme, to be followed in the coming weeks, by Data - Enterprise Platforms

 

Reaching out to Internet users 

Serving the bulk of web traffic because they interconnect servers and insure geographic distribution, content distribution networks (or CDN) are 'edge and cloud' platforms which support proxy servers at location closest to a user to speed up its delivery 

Akamai and Cloudflare stand out in the 'Cloud Managed Services' segment, but Fastly  and Five9 are not included, pending evaluation of the firms' growth potential

 

Database applications - to store, organize, manage, and retrieve data

  • configuring a production database management system for modern application developers- such as MongoDB or Couchbase
  • or as an analytical database, storing and searching unstructured data - as ElasticSearch
  • as a monitoring and analytics tool for information technology (IT) used to determine performance metrics as well as Event monitoring for infrastructure and cloud services - as DataDog
  • delivering a security gateway - as Zscaler 
  • or prodiving full integration connecting data sources and applications - as Oracle

 

A complete review of data architecture applications is beyond the scope, and purpose, of this theme, but investors need to consider

  • the overwhelming dominance of a very small 'posse' of giant firms - of which Microsoft, with Azure cloud services, is the preeminent symbol
  • the opportunities of specialized challengers, appealing to client reluctant to enter exclusive relationships with full-service behemoths and supportive of diversification of their data management

The giants of the industry, Microsoft, Google, Meta and Amazon are cornering the market on data centers, as argued repeatedly in this thematic series, and they will undoubtedly go from strength to strength as data management and control, and data interpretation, penetrates modern society deeply

Over time, their tremendous power over social interactions - and this includes AI - will be questioned on the political (and geopolitical) plane but the national states are not yet prepared for the challenge

For now, investment opportunities will continue to emerge in specialized segments of which the theme gives a few examples

Theme Components
Name
Ticker
Sector
Industry
Cur. Price
Mkt. Cap
Performance
Momentum
Risk Rank
Risk Contrib
 
Akamai Technologies AKAM TechnologyCloud Managed Services92.7213 B23.5% Weak Down Above Average
Microsoft MSFT TechnologyInformation Systems & Network Software521.913,876 B2.1% Neutral Below Average
NetApp NTAP TechnologySaaS / Cloud Storage199.1839 B72.6% Neutral Average Risk
Open Text OTEX TechnologyData Processing & Data Analytics (EDP)26.596.7 B-26.4% Weak Up Average Risk
MongoDB MDB TechnologyData Processing & Data Analytics (EDP)352.9628 B-1.9% Neutral High Risk
Elastic ESTC TechnologyData Processing & Data Analytics (EDP)97.2810 B9.0% Strong Up Above Average
Snowflake SNOW TechnologyData Processing & Data Analytics (EDP)306.08106 B11.4% Neutral Above Average
Datadog DDOG TechnologyData Processing & Data Analytics (EDP)235.2783 B44.5% Neutral High Risk
Pegasystems PEGA TechnologyDigital Platform Applications33.935.7 B-46.3% Neutral Above Average
Oracle ORCL TechnologySoftware - Business Process Mngt130.67375 B-49.2% Neutral Above Average
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