Technology stack
The stack we use to build and modernize critical systems
We work with a multi-cloud and multi-language stack, prioritizing cloud-native, open source and vendor-agnostic solutions.
88
technologies in the stack
Count computed from the site dataset. Last reviewed: 2026-10-11.
Technology groups
Languages, frameworks, data, AI and the enterprise platforms we integrate and modernize.
Programming, scripting and markup languages
14 technologies- JavaScript
- TypeScript
- Python
- Java
- C#
- Go
- Rust
- PHP
- SQL
- HTML/CSS
- ABAP
- Kotlin
- Scala
- Bash
Web frameworks and technologies
12 technologies- React
- Next.js
- Angular
- Vue.js
- Node.js
- NestJS
- Spring Boot
- FastAPI
- Django
- .NET
- Laravel
- Ruby on Rails
Databases
15 technologies- PostgreSQL
- MongoDB
- MySQL
- SQL Server
- Oracle Database
- Redis
- Elasticsearch
- SQLite
- Snowflake
- Google BigQuery
- Amazon Redshift
- Amazon DynamoDB
- Apache Cassandra
- Neo4j
- pgvector
Cloud platforms
5 technologies- AWS
- Microsoft Azure
- Google Cloud
- Cloudflare
- DigitalOcean
DevOps and observability
13 technologies- Docker
- Kubernetes
- Terraform
- Ansible
- Jenkins
- GitHub Actions
- GitLab CI
- Prometheus
- Grafana
- Datadog
- New Relic
- ELK Stack
- SonarQube
Data, AI and machine learning
16 technologies- TensorFlow
- PyTorch
- scikit-learn
- NumPy
- Pandas
- Apache Spark
- Apache Airflow
- dbt
- Fivetran
- Airbyte
- MLflow
- LangChain
- LlamaIndex
- Hugging Face
- OpenAI API
- Anthropic API
Enterprise platforms and integration
13 technologies- SAP ECC
- SAP S/4HANA
- SAP PI/PO
- Salesforce
- Microsoft Dynamics 365
- Oracle ERP
- HubSpot
- MuleSoft
- Apache Kafka
- RabbitMQ
- n8n
- Temporal.io
- Jakarta EE (J2EE)
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