Pricing and packages
Flexible and transparent pricing plans that make it simpler for data teams to be more productive.
Starter
$50/mo
Per low-code SQL developer seat*
$250/mo
Per low-code Spark (includes SQL) developer seat
Getting Started with Team Starter
- 3-week free trial.
- Connect to your existing Databricks account (required).Prophecy will not store any of your data, with the exception of metadata (location of datasets, code)
- Connect via PartnerConnect (automated) or your Databricks URL and access token.
- Pay through Credit Card or AWS/Azure marketplace.
DATA PLATFORMS
Databricks Lakehouse
Features
Low-code for SQL with dbt CoreTM
Low-code for Spark2
Version control with your Git1
Full lifecycle - develop, test, CI/CD
Unlimited job scheduling
* Up to 5 users and 1 project
Advanced
$300/mo
Per low-code SQL developer seat
$600/mo
Per low-code Spark (includes SQL) developer seat
Start free trial
Getting Started with Advanced
- Connect to your existing Databricks account (required).Prophecy will not store any of your data, with the exception of metadata (location of datasets, code)
- Connect via PartnerConnect (automated) or your Databricks URL and access token.
- Option to request a POC: typically a 4-6 week engagement to understand your requirements, discuss solutions, and help demonstrate value.
DATA PLATFORMS
Databricks Lakehouse
Features
Low-code for SQL with dbt CoreTM
Low-code for Spark2
Version control with your Git1
Full lifecycle - develop, test, CI/CD
Low-code scheduling via Databricks, Airflow
Search and column-level lineage
Performance metrics
Advanced support
Enterprise
Platform Cost
Platform cost to deploy and manage
Developer Seats
Per low-code Spark or SQL developer seat
DATA PLATFORMS
Databricks Lakehouse
SQL Data Warehouses3
Features
Everything in our Advanced offering PLUS:
Deployment on premises or via your virtual private cloud
Integrations with single sign-on (SSO) and Active Directory
Assistance migrating from your legacy ETL, if needed
Enterprise support
- Git1 - We support most Git systems — like GitHub, GitLab and Bitbucket — with multiple branching and forking schemas and CI/CD systems.
- Spark2 - Visual pipelines turn into high-quality, 100% open-source code in Python or Scala targeting Spark and Delta Lake.
- Spark & SQL data warehouses3 - For private SaaS, we support most Spark and SQL data warehouses. Speak with our Accounts team for more information.