Data Enrichment Pipeline

Data connectors for system and datasource integration, an extensive collection of data analysis tools, and the ability to easily share data and analyze results.

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Build End-to-End Data Pipelines

Integrate, Handle Exceptions, Share Results

Datasource integration from multiple sources. Handle exceptions and outliers automatically. Share data analysis results across your team. All in one workflow.

Import, Transform & Export Data

Low-Code, Automated Enrichment

Use a low-code interface to build, run, and automate data enrichment processes. Import from any source, transform with prebuilt steps, and export anywhere.

Manage Large Datasets

Greenplum-Powered Scale

PlaidCloud uses Greenplum technology to handle large data efficiently. Billions of rows without the performance cliff of legacy tools.

Filter Inbound & Outbound Data

Precision at Every Step

Each transformation step can have inbound and outbound data filters. So every step works only on the rows that matter.

Clean Incoming Data

Sanitize on Import

Data can be sanitized upon import. Trimming, formatting, type coercion, null handling, and more, applied automatically as data arrives.

Alter Data With Expressions

Every Field, Fully Transformable

Every field can be transformed with detailed data expressions. And user-defined Python transforms allow custom logic within a workflow when you need it.

Inspect Database Tables

View Any Dataset With Table Explorer

View any dataset with Table Explorer. Quickly analyze data using interactive grouping and filtering. Then push the results straight into an integrated Apache Superset dashboard.

Visualize Data

Integrated Apache Superset

Integrated Apache Superset for data visualization and high-performance dashboarding. Straight on top of your modeled data, no separate BI tool required.