phData Software

Our Software will help you accelerate data platforms, governance, pipelines, and machine learning.

Dependable data products, delivered faster.

As a services company, our software is the formalization of our experience and patterns for customer success. We build software to help our customers deliver stable, productionalized data platforms and data products within weeks, not years.

Cloud foundation

The foundation you need to succeed with an infrastructure-as-code approach on AWS.


Instantly translate SQL from one language to another, eliminating a usually time-consuming, error-prone, and highly manual process.


Automates the process of onboarding users onto Snowflake, eliminating manual work and speeding up implementation.

phData cleanroom

Secure and fully-audited mechanism for phData to provision and maintain access to customer environments.


phData PAMS is built on Elastic and provides observability for data products.


Streamliner is a data ingestion machine. When you need to ingest hundreds or thousands of data sources quickly, Streamliner makes it easy.
  • Quickly develop highly complex templated reusable data pipelines into Snowflake, Amazon Redshift, Cloudera, and Databricks.
  • Automated ingestion of business and technical metadata.
  • Automated generation of data catalog artifacts, including documentation, ERDs, and integration code.
  • Quickly respond to changing requirements like new columns, changing metadata, and new data sources.

Cloudera Ansible DevOps Automation

Cloudera Ansible DevOps Automation manages both Cloudera Manager and the operating system from source control.
  • Customized to your environment for DevOps workflows.
  • Standardize OS changes.
  • Implement best practices for hardware, networking, security, etc.
  • Kerberos, LDAP, and SSSD best practices.

Cloudera Best Practices Plugin

Advanced operational awareness to improve cluster stability and performance.
  • Know when Big Data frameworks are being used properly.
  • Improve query performance and cluster utilization.
  • Flag scenarios likely to cause performance issues.
  • Eliminate resource waste and costs.
  • Enable and disable checks based on needs.
  • Scheduled best practice reports delivered to your inbox.
  • Easily installed as a Cloudera Manager service.

Retirement Age

Retirement Age helps you to filter and delete data for liability, governance, or regulatory reasons, such as GDPR.
  • Automatically deletes sensitive data from immutable data storage layers like S3 and HDFS to ensure compliance with GDPR, HIPAA, and infosec security policies.
  • Easily filter datasets stored in Parquet and Avro, using the Hive Metastore, or datasets stored in Kudu.

Ready to learn more phData? Let's chat.