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The following questions we often receive when introducing Adalab. Here they are briefly answered but if you require a deeper dive we are always happy to talk.
Adalab is designed to be flexible and enterprise-ready. Adalab can be deployed on your preferred cloud provider (AWS, Azure, GCP, or private cloud) using Kubernetes-based containerized environments. This ensures scalability, security, and seamless integration with existing cloud services and your on-prem data sources. We customize the look and feel to your corporate identity.
No. Adalab is built on open-source components and open file formats. Unlike proprietary all-in-one platforms, Adalab ensures low exit barriers, allowing you to migrate easily if needed. You retain full ownership and access to all your code, container images and data.
Yes. Adalab runs within your infrastructure or trusted cloud environment, ensuring compliance with your organization’s security policies. IT remains responsible for firewalls, access management, and governance, maintaining full control over security.
No. Unlike per-user pricing models, Adalab offers a flat company-wide rate, allowing unlimited users (developers, analysts, and consumers) to join without increasing costs. This makes it a predictable and scalable investment. The usage and consumption of the infrastructure is fully transparent allowing you to distribute all costs internally with the departments that use the platform the most.
Not at all. Adamatics has been a trusted company for 7 years, serving large enterprises with dedicated local support. As a customer, you gain direct influence over the product roadmap, ensuring Adalab evolves to meet your needs. You always have access to the source code, and any experienced data engineer can operate the platform, giving you long-term flexibility and independence.
Yes. Adalab is an open platform built on the same open-source tools your team already uses, such as Python, Jupyter, and other analytics frameworks. It enhances scalability while preserving the flexibility of your current workflows. Additionally, Adalab allows you to integrate your own tools and components, ensuring compatibility with your existing stack and access to the latest GenAI technologies.
Yes. Adalab is a one-stop-shop for analytics, capable of handling everything from complex AI models to simple dashboards. It supports seamless onboarding for new employees and departments, ensuring continuity and scalability across the company.
Adalab acts as a central hub where teams can co-develop analytics assets, share best practices, and deploy solutions efficiently. This breaks down silos, accelerates innovation, and ensures shared knowledge across departments.
Yes. Adalab runs within your infrastructure or trusted cloud environment, ensuring compliance with your organization’s security policies. IT remains responsible for firewalls, access management, and governance, maintaining full control over security.
Adalab is designed for seamless integration with your existing data infrastructure. It connects to databases and data lakes via role-based access control through your IDP. Besides pre built connectors, and support for standard protocols like SQL Adalab enables custom integration to systems like SAP, and custom services.
Adamatics offers comprehensive support options tailored to enterprise needs, including: - Dedicated local support with on-site assistance if required. - Customer success managers to help optimize usage and adoption. - 24/7 technical support for mission-critical applications. Additionally, Adalab provides extensive documentation, training, and a customer community to help teams maximize the platform’s value.
A reusable integration layer acts as a central hub that standardizes access to data across different sources. Instead of creating one-off integrations for each project, this layer provides predefined, governed access to key datasets and APIs. This approach: - Ensures consistency and security across all analytics use cases. - Allows teams to easily reuse data assets, enabling faster innovation and decision-making.