AI Buyer Insights:

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

SmugMug Data, Technology Stack, and Enterprise Applications
HCM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
UKG Legacy UKG Great Place to Work Emprising Employee Experience, Employee Engagement HCM n/a 2023 2024
Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Google Legacy Google Workspace (Formerly Google G-Suite) Collaboration Collaboration n/a 2015 2015
Content Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Amazon Web Services (AWS) Legacy Amazon CloudSearch Application, Web and Enterprise Search Content Management n/a 2012 2012
In 2012 SmugMug began using Amazon CloudSearch to power large-scale photo search across its photography platform, targeting customer-facing search to reduce query latency and improve scalability. Amazon CloudSearch was configured to serve website and API queries for image discovery, handling relevance tuning and faceted search for photographer and consumer workflows, aligned with the Search category and core platform search functions. The implementation focused on an indexing pipeline and query layer architecture, with real-time indexing of new uploads, shard-aware query routing, and relevance configuration to support visual and metadata search scenarios. Functional capabilities implemented included full-text indexing, faceting, sorting, and query parsing, with operational workflows in engineering and product teams to manage schema updates and relevance tuning. Over time SmugMug migrated parts of its search architecture to Amazon OpenSearch Service as volumes grew, performing component-level cutovers to preserve operational speed-to-market while scaling search capacity. The deployment impacted platform search operations, product search features, and customer experience engineering, and governance included phased rollouts and iterative tuning of indexing and query configurations to maintain performance at scale.
Content Management Content Management 2012 2012
CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Tag Management CRM 2014 2014
ITSM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Performance Management ITSM 2011 2011
PaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Transactional Email PaaS 2012 2012
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2024 2024
Application Hosting and Computing Services IaaS 2021 2021
Application Hosting and Computing Services IaaS 2013 2013
Content Delivery Network IaaS 2020 2020
IT Decision Makers and Key Stakeholders at SmugMug
First Name Last Name Title Function Department Email Phone
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Apps Being Evaluated by SmugMug Executives
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD SmugMug Technographics

SmugMug is a Professional Services organization based in United States, with around 120 employees and annual revenues of $12.0 million.

SmugMug operates a diverse technology stack with applications such as UKG Great Place to Work Emprising, Google Workspace (Formerly Google G-Suite) and Amazon CloudSearch, covering areas like Employee Experience, Employee Engagement, Collaboration and Application, Web and Enterprise Search.

SmugMug has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as UKG, Google and Amazon Web Services (AWS).

SmugMug recently adopted applications including Amazon EC2 in 2024, UKG Great Place to Work Emprising in 2023 and Amazon EC2 in 2021, highlighting its ongoing modernization strategy.

APPS RUN THE WORLD maintains an up-to-date database of SmugMug’s key decision makers and IT executives, available to Premium subscribers.

Our research team continuously updates SmugMug’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.

Subscribe to APPS RUN THE WORLD to access the complete SmugMug technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.