Our Tech Stack
The technologies we work with
Our technology selection
At Elasticbrains, we rely on a carefully selected tech stack that combines stability, scalability, and innovation capability. Our technology selection is based on proven standards, but also takes into account modern developments to develop optimal solutions for our customers.
Frontend technologies
For developing modern, reactive, and user-friendly interfaces, we use:
Vue.js
A progressive JavaScript framework for building user interfaces, characterized by its simplicity and flexibility.
React
A JavaScript library for building user interfaces, characterized by its component-based architecture and high performance.
TypeScript
A superset of JavaScript that adds static typing and improves code quality and maintainability.
Backend technologies
For robust, scalable, and high-performance server applications, we use:
Node.js
A JavaScript runtime environment that allows executing JavaScript code outside the browser and creating scalable network applications.
Python
A versatile programming language characterized by readability and extensive libraries, especially for data science and AI applications.
Java & Spring Boot
A robust combination for enterprise applications with high scalability and security.
Databases & Storage
For efficient storage and management of data, we use:
PostgreSQL
A powerful open-source database system with extensive features and high reliability.
MongoDB
A document-oriented NoSQL database characterized by high flexibility and scalability.
Redis
An in-memory data store optimized for caching, messaging, and fast data operations.
DevOps & Infrastructure
For efficient development, deployment, and maintenance of our applications, we rely on:
Docker & Kubernetes
Container technologies for consistent development, easy deployment, and scalable infrastructure.
Cloud Platforms (AWS, Azure, GCP)
Flexibility in choosing the cloud platform according to project requirements, with comprehensive expertise in all major providers.
CI/CD (GitHub Actions, Jenkins)
Automated processes for continuous integration and deployment that ensure code quality and accelerate the development process.
AI & Machine Learning
For developing intelligent applications and data analytics, we use:
TensorFlow & PyTorch
Leading open-source libraries for machine learning and artificial intelligence with comprehensive functions for deep learning.
Pandas & NumPy
Powerful libraries for data analysis, manipulation, and scientific computing in Python.
OpenAI & Hugging Face
Integration of state-of-the-art AI models for natural language processing, image processing, and more.
Ready for modern technology solutions?
Contact us for a non-binding conversation about the optimal technology selection for your project.