Tecton provides an enterprise-ready feature store to make machine learning accessible to every company. It believes that companies need a new kind of data platform built for the unique requirements of ML. Its goal is to enable ML teams to build great features, serve them in production quickly and reliably, and do it at scale. By getting the data layer for ML right, companies can get better models to produce faster and drive real business outcomes.
SaaS Adoption
SaaS Adoption indicates the level of adoption by this company of software as a service services.
Cloud Adoption
Cloud Adoption indicates the level of adoption by this company of cloud services.
IT Footprint
IT Footprint gives a relative indication of how much IT services this company consumes.
IT Spend
IT Spend shows roughly how much this client spends on IT per year in USD.
Enlyft tracks the use of over 15,000 technologies and has proprietary data on over 18 million companies worldwide.
Tecton uses 5 different technologies from 43 different vendors. They have above average use of several technologies including DataBricks, Snowflake and GitHub.
Tecton uses products from 42 different product categories. They are particularly heavy users of products in Machine Learning, AI Frameworks, and Cloud Platforms & Services.
Enlyft tracks the use of over 15,000 technologies and has proprietary data on over 18 million companies worldwide.
| Technology | Category | Vendor | Usage |
|---|---|---|---|
| Hashicorp Terraform | IT Management Software | HashiCorp | ![]() |
| Kubernetes | Virtualization Management Software | Google LLC | ![]() |
| Kubeflow | Machine Learning | Kubeflow | ![]() |
| Amazon AWS | Cloud Platforms & Services | Amazon | ![]() |
| AWS Glue | Data Integration | Amazon | ![]() |
What other companies use Hashicorp Terraform?
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What countries, industries, and company sizes are most likely to use Kubeflow?