Fort Lauderdale, 33308, FL,
United States
CloudHesive
CloudHesive, a prominent reseller, system integrator, and consulting company, that plays a vital role in numerous system integration and digital transformation initiatives. CloudHesive collaboration with software players such as Amazon Web Services (AWS) empowers organizations to embrace disruptive technologies and accelerate their journey to the cloud, thus reshaping their business models.
| Reseller and SI | Vendor | Application | Category | Market |
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| CloudHesive | Amazon Web Services (AWS) | Amazon Redshift | Data Warehouse | Analytics and BI |
| CloudHesive | Amazon Web Services (AWS) | Amazon Glue | Extract, Transform, and Load (ETL) | PaaS |
| CloudHesive | Amazon Web Services (AWS) | Amazon S3 | Cloud Storage | IaaS |
| CloudHesive | Amazon Web Services (AWS) | AWS Database Migration | Data Migration | PaaS |
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Product | Category | When | Insight | Insight Source |
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AJE Group | Consumer Packaged Goods | 10000 | $1.3B | Peru | Amazon Web Services (AWS) | Amazon Redshift | Data Warehouse | 2019 | In 2019, AJE Group deployed Amazon Redshift as the core Cloud Data Warehouse within a centralized corporate analytics platform on Amazon Web Services, engaging CloudHesive as the implementation partner. The initiative consolidated distributed on-premises infrastructure into a single analytics fabric that supports operations across AJE Group’s footprint in 22 countries and spans analytics, sales, and customer-facing teams. The Amazon Redshift configuration was positioned as the universal repository and single source of truth, supporting SQL analysis of structured and semi-structured data. AJE Group paired Amazon Redshift with a data lake on Amazon S3 for storage and used AWS Glue for serverless data integration to discover, prepare, and move data. The company moved on-premises SQL databases to AWS using AWS Database Migration Service to populate the new platform and accelerate pipeline throughput, enabling a 35 percent reduction in ETL times. Integrations centered on Amazon Redshift, Amazon S3, AWS Glue, and AWS Database Migration Service, creating end-to-end ingestion and analytics flows that deliver near-real-time visibility. The Cloud Data Warehouse solution was instrumented to feed country-level data models and to provide next-day metrics to business users, enabling internal teams to access data roughly 20 percent faster than before. Governance and operational changes included centralizing data access patterns, establishing Amazon Redshift as the companywide analytics repository, and expanding data literacy to support broader consumption. Reported outcomes tied to the AWS implementation include 35 percent faster ETL, 15 percent savings in infrastructure costs through cloud consumption models, improved scalability for market expansion, and increased agility to pursue predictive analytics and AI opportunities. | |
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AJE Group | Consumer Packaged Goods | 10000 | $1.3B | Peru | Amazon Web Services (AWS) | AWS Database Migration | Data Migration | 2019 | In 2019, AJE Group implemented AWS Database Migration as a central component of a corporate initiative to consolidate disparate on premises data assets and build a centralized analytics platform on Amazon Web Services, using Data Migration tooling to standardize ingestion across its 22 country footprint. The Data Migration program was executed with support from AWS partner CloudHesive and focused on moving SQL databases into a cloud native analytics architecture to improve data availability and cross‑functional access. The implementation used AWS Database Migration Service to migrate on premises SQL databases into a cloud data architecture, Amazon S3 as the storage backbone for the data lake, AWS Glue to orchestrate and serverlessly manage ETL and discovery, and Amazon Redshift as the cloud data warehouse and universal repository. Amazon Redshift was configured to analyze structured and semi structured data across the data warehouse and data lake, and AWS Glue automated discovery and transformation tasks to accelerate ingestion and reduce extract transform load times by 35 percent. Integration work centered on a data pipeline that fused AWS Database Migration Service replication with the S3 data lake and Glue job orchestration, feeding analytic models and the Amazon Redshift warehouse used by regional and country reporting. The deployment architecture emphasizes a centralized corporate data platform that consolidates metrics for commercial, sales, and customer-facing teams, enabling near real time availability of prior‑day information to operational users. Governance and process changes accompanied the technical rollout, with the platform positioned as the single source of truth to support a data driven culture and to standardize data models across markets. Project governance involved centralizing access controls, cataloging via Glue discovery, and operationalizing Redshift as the canonical analytics store to reduce report fragmentation and improve cross‑team visibility. Explicit outcomes reported from the implementation include a 35 percent reduction in ETL times, 15 percent savings in infrastructure costs from cloud consumption models, increased scalability to support expansion across countries, and faster access to data for internal teams, which improved data delivery timelines. With the core Data Migration and analytics platform in place, AJE Group is positioned to expand predictive analytics and AI use cases using the consolidated data lake and Redshift analytics layer. | |
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AJE Group | Consumer Packaged Goods | 10000 | $1.3B | Peru | Amazon Web Services (AWS) | Amazon S3 | Cloud Storage | 2019 | In 2019, AJE Group adopted Amazon S3 as the storage backend for a centralized corporate data platform on AWS, implementing Cloud Storage capabilities to underpin its analytics and data lake strategy. The deployment of Amazon S3 was part of a broader AWS architecture that included Amazon Redshift for cloud data warehousing and AWS Glue for serverless data integration, with CloudHesive engaged as the implementation partner. Amazon S3 was configured as the primary object store for the company data lake, supporting ingestion of structured and semi structured datasets. AWS Glue provided ETL orchestration and cataloging, while Amazon Redshift served as the universal repository and analytics engine, enabling SQL analysis across the data lake and warehouse. AJE Group used AWS Database Migration Service to move SQL databases into AWS to populate the data lake and Redshift, creating consolidated data models for cross country reporting. The implementation covered commercial and analytics functions across AJE Group’s footprint in 22 countries, improving data access for sales and customer teams and enabling near real time availability of previous day metrics at the start of the workday. CloudHesive supported integration and rollout activities, and the architecture emphasized serverless and scalable patterns to allow rapid instance adjustments and capacity changes without ongoing server management. Governance centered on Amazon Redshift as the single source of truth and the data lake on Amazon S3 to broaden organizational visibility and self service analytics. Outcomes explicitly reported by the company include a 35 percent reduction in ETL times, 15 percent savings in infrastructure costs, 20 percent faster data delivery to internal teams, increased scalability to support expansion, and strengthened foundations for future predictive analytics and AI initiatives. | |
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Consumer Packaged Goods | 10000 | $1.3B | Peru | Amazon Web Services (AWS) | Amazon Glue | Extract, Transform, and Load (ETL) | 2019 |
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Buyer Intent: Companies Evaluating CloudHesive Services
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