List of Amazon CloudSearch Customers
Seattle, 98109, WA,
United States
Since 2010, our global team of researchers has been studying Amazon CloudSearch customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Amazon CloudSearch for Application, Web and Enterprise Search from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Amazon CloudSearch for Application, Web and Enterprise Search include: Smugmug, a United States based Media organisation with 210 employees and revenues of $57.0 million, Justice Traffic Service, a United States based Professional Services organisation with 1 employees and revenues of $1.0 million, Snapdish, a Japan based Media organisation with 10 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using Amazon CloudSearch, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Amazon CloudSearch customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Justice Traffic Service | Professional Services | 1 | $1M | United States | Amazon Web Services (AWS) | Amazon CloudSearch | Application, Web and Enterprise Search | 2012 | n/a |
In 2012, Justice Traffic Service implemented Amazon CloudSearch to deliver fast, scalable application/web search across large collections of legal documents and trademark information in the United States. The deployment addressed legal research workflows and public document discovery, with a focus on reducing query latency and supporting large bulk imports.
The implementation configured Amazon CloudSearch domains, document ingestion pipelines, and search endpoints to index case law, filings, and trademark records. Amazon CloudSearch was used for schema definition, text analysis, relevance tuning, faceted search, and metadata filtering, aligning core search capabilities with the needs of application/web search for legal content.
The solution ran on Amazon Web Services infrastructure and emphasized managed automatic scaling to absorb load spikes during bulk data imports. Operational coverage targeted application and web search traffic in the United States and supported search-driven legal research and access to trademark information.
Governance focused on scheduled batch indexing, controlled schema updates, and iterative relevance tuning to maintain search quality for legal workflows. The project explicitly delivered improved search performance and automatic scaling during bulk imports, positioning Amazon CloudSearch as the search layer for Justice Traffic Service document discovery.
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Smugmug | Media | 210 | $57M | United States | Amazon Web Services (AWS) | Amazon CloudSearch | Application, Web and Enterprise Search | 2012 | n/a |
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.
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Snapdish | Media | 10 | $1M | Japan | Amazon Web Services (AWS) | Amazon CloudSearch | Application, Web and Enterprise Search | 2014 | n/a |
In 2014, SnapDish implemented Amazon CloudSearch on Amazon Web Services to provide food, recipe, and user search for its recipe and photo app. Apps Category:
The implementation leveraged Amazon CloudSearch multilingual Japanese-language analysis to shift Japanese language analysis into the managed service, accelerating time to value for user-facing search. Modules implemented included food search, recipe search, and user search with Japanese-language analysis, and the deployment used AWS managed CloudSearch instances in Japan to improve search availability and reduce costs. Governance centered on operationalizing managed search indexing and query analysis within product engineering and operations teams, with rollout focused on Japan and on improving the responsiveness of customer-facing search flows.
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Buyer Intent: Companies Evaluating Amazon CloudSearch
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