Q.What data connectors does Morph support?
A.Morph supports connectors for PostgreSQL, Snowflake, BigQuery, Salesforce, Intercom, and Linear.
M
Morph
★3.1
💬300
💲Freemium
Morph is an AI-driven platform that simplifies the creation and deployment of data applications using Python and SQL. It offers built-in AI assistance, data connectors, and a secure deployment environment, making it ideal for data teams seeking to streamline their workflows.
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Platform
web
AIAutomationCI/CDCollaborationDashboardData appsData connectors
What is Morph?
Morph is an AI-powered platform that enables users to build and deploy functional data applications quickly using Python and SQL. It is designed for data teams looking to streamline their development process with built-in AI assistance, data connectors, and secure deployment capabilities.
Core Technologies
- Artificial Intelligence
- Python Framework
- SQL Collaboration
- Data Connectors
- CI/CD
- RBAC
Key Capabilities
- AI-powered data app development
- Python and SQL collaboration
- Data connectors for multiple sources
- Built-in authentication and security
- Secure deployment environment
- Scheduled execution of processes
Use Cases
- Building interactive dashboards from data
- Creating custom AI processes using LLM APIs
- Automating data processing workflows
- Sharing data applications with teams via URL
Core Benefits
- Rapid data app development
- Secure deployment environment
- Extensible with Python and React packages
- Built-in data connectors and security features
- Collaborative development with Git management
- Scheduled execution for automation
Key Features
- AI-powered data app development
- Python and SQL collaboration
- Data connectors for BigQuery, Snowflake, PostgreSQL, Salesforce, Intercom, and Linear
- Built-in authentication, CI/CD, and RBAC
- Secure deployment environment
- Git management
- Scheduled execution of SQL and Python processes
How to Use
- 1Install the Morph Python package using 'pip install morph-data'.
- 2Launch the Python framework with a single command.
- 3Connect to data sources and process data in Python.
- 4Customize AI processes and use pre-made components or write your own in Markdown.
- 5Deploy your data application securely.
Pricing Plans
Free
$0/month
For early stage data teams, Up to 1 User, Up to 5 Project, Github integration
Pro
$15/month
For professional data teams, Everything in Free, Team collaboration, More projects deployment, Local LLM deployment with Ollama
Frequently Asked Questions
Q.How secure is data deployment with Morph?
A.Morph provides a secure deployment environment with role and permission management, and it complies with SOC2 Type 1.
Q.Can I use my own Python and React packages with Morph?
A.Yes, Morph's Python framework allows you to add Python and React packages to build your data app.
Q.How can I share my data applications built on Morph?
A.Data applications built on Morph can be shared with your team via a simple URL.
Pros & Cons (Reserved)
✓ Pros
- Rapid data app development
- Secure deployment environment
- Extensible with Python and React packages
- Built-in data connectors and security features
- Collaborative development with Git management
- Scheduled execution for automation
- Visual data lineage monitoring
✗ Cons
- Pricing may be a factor for smaller teams
- Reliance on Morph's platform for deployment
- Potential learning curve for new users
Alternatives
No alternatives found.