Our team analyzed 3.5B data points to uncover what the most popular data engineer tools are, what tools companies are spending money on, and what data engineering jobs pay the most. Read the study here.
Here are some of our biggest findings:
- The 5 most popular data engineering tools are MongoDB, Tableau, Kubernetes, PostgreSQL, and Ansible.
- There are over 340,000 job openings right now in the data engineering field.
- Kubernetes, followed by Elasticsearch, PostgreSQL, and Terraform are the highest paying specialties.
- Companies are opting to use free data processing tools, like Apache Spark and Apache Kafka.
- The industry is split over whether to pay for data storage, with the top four tools being an equal split of paid and free tools.
- There are clear winners in the data orchestration space. Kubernetes and Ansible control 65% of the data orchestration space.
- Companies prefer to pay for data orchestration tools, with Tableau and Microsoft Power BI holding most of the market.
