Musashino, 180-0005,
Japan
Snapdish Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Snapdish and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 10 Snapdish employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Snapdish has purchased the following applications: GumGum for Artificial Intelligence Marketing in 2017, Amazon CloudSearch for Application, Web and Enterprise Search in 2014, Monetate for Personalization and Product Recommendations in 2017 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Snapdish is running and its propensity to invest more and deepen its relationship with GumGum , Amazon Web Services (AWS) , OpenText or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Snapdish revenues, which have grown to $1.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Snapdish intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| GumGum | Legacy | GumGum | Artificial Intelligence Marketing | AI-Powered Application | n/a | 2017 | 2017 |
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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 | 2014 | 2014 |
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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Web Content Management | Content Management |
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2017 | 2017 |
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eCommerce
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Kibo Commerce | Legacy | Monetate | Personalization and Product Recommendations | eCommerce | n/a | 2017 | 2017 |
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Personalization and Product Recommendations | eCommerce |
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2017 | 2017 |
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Product Information Management | eCommerce |
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2017 | 2017 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Data Management Platform | CRM |
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2017 | 2017 |
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Data Management Platform | CRM |
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2017 | 2017 |
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Digital Advertising Platform | CRM |
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2017 | 2017 |
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Digital Advertising Platform | CRM |
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2017 | 2017 |
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Digital Advertising Platform | CRM |
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2017 | 2017 |
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Digital Advertising Platform | CRM |
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2017 | 2017 |
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Digital Advertising Platform | CRM |
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2017 | 2017 |
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Digital Advertising Platform | CRM |
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2017 | 2017 |
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Marketing Analytics | CRM |
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2017 | 2017 |
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Marketing Automation | CRM |
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2017 | 2017 |
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Partner Relationship Management | CRM |
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2017 | 2017 |
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Tag Management | CRM |
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2017 | 2017 |
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Tag Management | CRM |
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2017 | 2017 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Hosting and Computing Services | IaaS |
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2022 | 2022 |
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Content Delivery Network | IaaS |
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2016 | 2016 |
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Content Delivery Network | IaaS |
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2017 | 2017 |
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Network Management and Monitoring | IaaS |
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2022 | 2022 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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DDoS Protection | CyberSecurity |
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2016 | 2016 |
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| Date | Company | Status | Vendor | Product | Category | Market |
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