Why Evaluate InetSoft's Serverless Dashboard Solution?
In a crowded analytics marketplace, enterprises and cloud providers face the challenge of finding a dashboard solution that balances flexibility, scalability, and ease of integration. InetSoft stands out by offering a serverless architecture that reduces infrastructure overhead and accelerates deployment, making it ideal for organizations seeking rapid time-to-value without sacrificing control or customization. InetSoft's platform is designed for seamless data mashups, allowing users to combine disparate data sources—whether on-premises or in the cloud—into unified, interactive dashboards. This capability is especially valuable for enterprises managing complex data environments and for cloud providers looking to offer differentiated analytics services to their customers.With a focus on user empowerment, InetSoft delivers intuitive tools for both business users and IT teams. Its robust security, governance features, and support for advanced analytics—including machine learning—ensure that organizations can meet evolving business needs while maintaining compliance and data integrity. Evaluating InetSoft means considering a solution built for agility, innovation, and enterprise-grade reliability.
What Customers and Partners Have to Say About InetSoft
With so many dashboard applications available on the market, how do you narrow down your choices? One of the best ways is to read what happy customers have said for reasons why they selected InetSoft and what they like about the product and the company.
Customer Service is the Best I've Encountered!
Customer service is the best I've encountered among software vendors. All the technicians are extremely knowledgeable, patient and will make every effort to accommodate your schedule and resolve the issue in a timely manner. - Jack from BOK Financial
Cold Chain Logistics Compliance Platform Switches from Reveal to InetSoft for Embedded Dashboards
In the intricate world of cold chain logistics, where the difference between a successful delivery and a costly failure can hinge on a half-degree temperature fluctuation, data visibility is everything. For companies providing cloud-based compliance solutions in this domain, analytics and visualization are not mere value-adds—they are essential components of the product itself. When one Cold Chain Logistics Compliance Platform provider recently made the switch from Reveal to InetSoft for its embedded dashboarding layer, the change represented more than just a new BI tool. It was a fundamental shift toward scalability, richer interactivity, and seamless integration into a complex, real-time IoT-driven ecosystem.
The Context: Data Intensity in Cold Chain Logistics
Cold chain logistics involves managing the transport and storage of temperature-sensitive goods—such as vaccines, perishable foods, and biologics—through a continuous series of refrigerated stages. Each handoff in the supply chain carries compliance requirements and potential risk. The provider in question had built a SaaS platform that connected sensors in trucks, containers, and warehouses to a centralized data lake. The platform monitored conditions in real time and automatically generated compliance documentation for regulators like the FDA or EMA.
To help users—manufacturers, distributors, and quality managers—understand and act on the data, the provider embedded a dashboarding solution into its web app. For several years, this had been powered by Reveal, a developer-focused BI tool designed for embedded analytics. Reveal’s SDK-based model allowed them to add charts and reports without heavy infrastructure. Initially, it seemed like a good fit for an early-stage product emphasizing time-to-market. But as the user base grew and the complexity of analytics increased, Reveal began to show its limitations.
The Limitations of Reveal in an Expanding Product Ecosystem
Reveal’s architecture provided a solid starting point for embedding simple visualizations, but it became a bottleneck as the platform scaled. Data volumes increased from thousands to millions of data points per shipment, and users began requesting advanced analytics features such as drill-down views, multi-source mashups, and dynamic filtering across disparate datasets. Reveal’s capabilities in these areas required custom code and manual orchestration of data pipelines, creating maintenance overhead for the engineering team.
More importantly, Reveal’s licensing and deployment model didn’t align well with the provider’s growth trajectory. As the platform expanded globally, with multiple tenants across pharmaceutical and food logistics clients, the per-developer and per-server licensing costs of Reveal began to outpace value. Each client needed its own customized dashboards and compliance views, which required separate instances and inflated operating costs. The engineering team also struggled to embed new dashboards without impacting performance, since Reveal lacked flexible caching or federated query options for distributed data environments.
The breaking point came when one major pharmaceutical customer requested predictive dashboards that combined real-time sensor streams with historical route deviation data. Implementing this in Reveal would have required a complete rewrite of the analytics pipeline. At that moment, the team began exploring alternative BI solutions capable of embedding seamlessly, scaling horizontally, and integrating natively with their AWS-hosted data sources.
Choosing InetSoft for Embedded Visual Intelligence
The decision to move to InetSoft’s BI platform was driven by a combination of technical and business considerations. InetSoft had a long history of serving OEM and embedded BI use cases, with a flexible architecture designed for integration into SaaS products. For a developer audience, several aspects stood out immediately:
- Data Mashup Engine: InetSoft’s proprietary data mashup capability allowed the team to blend sensor data, logistics records, and compliance audit trails in real time without moving data into a centralized warehouse. This was critical for maintaining performance while meeting compliance standards.
- API-First Design: The REST and JavaScript APIs provided granular control over dashboard creation, parameter passing, and access management. Developers could dynamically generate visualizations based on user roles, clients, and regional compliance frameworks.
- Serverless Deployment: InetSoft supported containerized and serverless deployments on AWS, fitting perfectly into the provider’s microservices architecture. The dashboards now run as lightweight services triggered on demand, reducing idle compute costs.
- Advanced Interactivity: The team could implement drill-down and slice-and-dice features natively within dashboards, enabling end users to move from a global view of the supply chain to individual sensor readings within seconds.
From a development perspective, InetSoft’s flexibility allowed engineers to build and test dashboards in isolation, then deploy them as embedded components through standard CI/CD pipelines. Version control and automated regression testing were easier to manage compared to Reveal’s more monolithic configuration.
Integration with AWS-Based Data Sources
The provider’s infrastructure was heavily reliant on AWS services—IoT Core for streaming device data, RDS for transactional information, and Redshift for long-term analytics storage. InetSoft’s built-in connectors made it simple to link to these sources without the need for intermediary ETL tools. Developers appreciated that they could visually model data joins and transformations directly within InetSoft’s interface or via scripts, depending on complexity.
InetSoft’s support for federated queries meant the team no longer had to duplicate data into a staging environment. Instead, dashboards could query Redshift for batch data while simultaneously pulling live readings from IoT Core. This eliminated redundant data storage and reduced latency, allowing near-real-time analytics for cold chain monitoring.
For instance, one dashboard now tracks temperature excursions across multiple carriers and routes, correlating anomalies with GPS location and shipment type. Users can instantly identify high-risk lanes or carriers prone to compliance deviations. Previously, these insights required manual aggregation and offline processing. The move to InetSoft enabled end-to-end automation with live updates, empowering both compliance officers and operations managers to act before losses occurred.
Development Efficiency and Resource Optimization
From a developer’s standpoint, one of the major advantages of InetSoft was the ability to manage dashboards as modular resources within the codebase. The engineering team adopted a hybrid approach: developers built data models and reusable widgets, while product managers and compliance analysts used InetSoft’s visual designer to create domain-specific dashboards. This division of labor significantly reduced turnaround time for new features.
Resource utilization also improved. With Reveal, each embedded dashboard required a dedicated runtime component and substantial memory allocation. InetSoft’s serverless-friendly design enabled the provider to spin up analytics sessions on demand, scale automatically, and shut down idle instances. AWS monitoring showed a 35% reduction in average compute costs after migration.
Moreover, InetSoft’s caching mechanisms optimized repeated query performance, particularly for commonly accessed dashboards such as temperature compliance summaries and regulatory audit reports. Load times that once spanned several seconds were now under one second, improving user experience across both desktop and mobile devices.
Impact on Compliance and Customer Satisfaction
From a business standpoint, the impact was equally significant. The switch to InetSoft allowed the provider to offer clients a more interactive, customizable analytics experience without compromising compliance. Clients could define their own thresholds, alerts, and KPI visualizations without waiting for engineering intervention. InetSoft’s row-level security ensured that data visibility was strictly partitioned by tenant, meeting regulatory and contractual data protection standards.
Customer satisfaction scores improved noticeably, with clients citing faster dashboard load times and more intuitive interactivity. The ability to visualize multi-source data in one place—such as combining IoT telemetry with logistics routes and regulatory documentation—meant that compliance reviews could be completed in minutes instead of hours. For pharmaceutical clients, this agility translated directly into fewer product holds and faster distribution approvals.
Internally, the engineering team regained valuable development cycles previously consumed by dashboard maintenance and performance tuning. Developers could now focus on predictive analytics models and machine learning integrations, confident that the embedded dashboard layer was robust and future-proof.
Reflections on the Migration
The migration process itself took approximately three months, executed in parallel with ongoing development to minimize disruption. InetSoft’s support team provided guidance on API integration, and the open architecture allowed for incremental rollout. The provider started with low-impact dashboards, validated performance under production load, and gradually migrated mission-critical views.
One particularly valuable feature during migration was InetSoft’s backward-compatible scripting environment, which allowed existing SQL logic and JSON configurations to be reused with minimal changes. Developers used automated tests to compare data outputs between Reveal and InetSoft dashboards to ensure accuracy. By the end of the process, more than 60 embedded dashboards had been ported over, serving clients across North America, Europe, and Asia.