Reassembly
Reassembly is a data modeling and integration platform that allows users to build visual models to integrate, clean, and transform data from various sources. It aims to simplify data wrangling and aggregation tasks without the need for coding.
data-modeling
etl
data-wrangling
data-aggregation
Reassembly: Data Modeling & Integration Platform
Reassemble is a data modeling and integration platform that allows users to build visual models to integrate, clean, and transform data from various sources. It aims to simplify data wrangling and aggregation tasks without the need for coding.
What is Reassembly?
Reassembly is a visual data modeling and integration platform built to help analysts, engineers, and business users simplify cumbersome data wrangling and aggregation tasks without the need for coding. The intuitive drag-and-drop interface allows users to integrate data from various sources including databases, APIs, files, and business applications into reusable virtual data models.
Key capabilities and benefits include:
- Connect to data sources - Intuitive connectors make it fast and simple to pull in data from PostgreSQL, Snowflake, REST APIs, JSON, CSV, Excel, etc.
- Build reusable virtual models - Visually model, combine, clean, and transform different datasets into reusable views without code.
- Automate and scale workflows - Schedule and run data integration pipelines at any cadence to power analytics and business processes with refreshed, high quality information.
- Collaboration - Data models are interactive documents that provide transparency into data sources and business logic for improved collaboration.
- Governance and security - Admin capabilities such as access control, encryption, and high availability help meet enterprise standards for data governance.
With an intuitive graphical interface that enables users to model data without coding, Reassembly aims to make it easier for enterprises to build the informed perspective required to compete in the age of data.
Reassembly Features
Features
- Visual data modeling interface
- Drag and drop workflow builder
- Pre-built data connectors and transformations
- Support for APIs, databases, files, etc as data sources
- Data profiling and analysis
- Scheduling and automation capabilities
- Collaboration features
Pricing
- Freemium
- Subscription-Based
Pros
Intuitive visual interface
No coding required
Fast and easy data integration
Powerful data transformation capabilities
Scalable to large datasets
Collaborative features
Wide range of pre-built connectors and transformations
Cons
Steep learning curve for advanced features
Limited customization compared to coding
Not ideal for complex statistical/analytical tasks
Can be expensive for large scale usage
Official Links
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