Deinland Solar Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Deinland Solar and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 10 Deinland Solar employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Deinland Solar has purchased the following applications: Oracle Spatial and Graph for Analytics and BI in 2025, Microsoft 365 for Collaboration in 2022, Google Tag Manager for Tag Management in 2022 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Deinland Solar is running and its propensity to invest more and deepen its relationship with Oracle , Microsoft , Google 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 Deinland Solar 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 Deinland Solar 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.
Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Oracle | Legacy | Oracle Spatial and Graph | Analytics and BI | Analytics and BI | n/a | 2025 | 2025 |
In 2025, Deinland Solar deployed Oracle Spatial and Graph as a core component of an Oracle Autonomous Database 23ai implementation on Oracle Cloud Infrastructure to power its ENIGNUM mapping and analysis application. The deployment is classified in the Analytics and BI category and is purpose built to support sales workflows that identify rooftop and open space solar opportunities across Germany.
Deinland Solar built ENIGNUM with Oracle APEX running on Oracle Autonomous Database 23ai, using Oracle Spatial and Graph as the geospatial engine for map-centric analytics. Functional capabilities implemented include large-scale spatial indexing and querying, roof characteristic analysis, energy consumption correlation, and a generative AI conversational interface added via Oracle APEX. The implementation leverages Autonomous Database AI features such as AI Vector Search and Select AI along with vector embeddings to enable refined classification and retrieval of spatial and visual data.
The architecture is centralized on Oracle Cloud Infrastructure with Autonomous Database 23ai serving as the single data platform that ingests property, cadastral, land registry, building and roof characteristic data plus energy telemetry. ENIGNUM integrates official government APIs for cadastral information and spatial data collection to ensure authoritative inputs for sales recommendations. Deinland Solar plans to connect large language models using retrieval augmented generation to internal data sources and explore OCI Vision for AI powered visual recognition to extract roof shape and orientation from imagery.
Operational scope centers on the sales organization and the companys digitalization function, with a single person development team using low code development to accelerate delivery. Autonomous Database 23ai automated database administration tasks and managed approximately 95 percent of DBA duties, simplifying operations and enabling rapid application iteration. The centralized Oracle Spatial and Graph implementation supports multi dimensional asset tracking including installed panels, ground based electrical infrastructure and grid connection details required by sales and asset teams.
Documented outcomes include scalable handling of very large spatial datasets, high speed query performance, near zero maintenance overhead, and the ability to refresh and process massive spatial updates often measured in tens of millions of objects per day. Oracle Spatial and Graph in Oracle Autonomous Database 23ai provided a consolidated Analytics and BI platform that allowed Deinland Solar to deploy ENIGNUM quickly and support data intensive mapping and proposal generation workflows for its salesforce.
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft 365 | Collaboration | Collaboration | n/a | 2022 | 2022 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Tag Manager | Tag Management | CRM | n/a | 2022 | 2022 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Apps Development | PaaS |
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2025 | 2025 |
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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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2025 | 2025 |
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Application Hosting and Computing Services | IaaS |
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2022 | 2022 |
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Application Hosting and Computing Services | IaaS |
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2023 | 2023 |
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Content Delivery Network | IaaS |
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2025 | 2025 |
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Database Management | IaaS |
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2025 | 2025 |
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