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Rapidly assemble and integrate datasets from different sources,
including flat files, internal databases, and publicly available data.

Quick Configuration

Load data from any source quickly
  • Configurable connectors with minimal setup
  • Load data from web services, ERP systems, databases, flat files
  • Export results and trigger downstream processes
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Data Validation

Proactively ensure data quality
  • Organize data during ingestion
  • Standardize data types & handle exceptions
  • Detect and remediate inconsistencies in incoming data
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Spin Up & Let Go
  • Schedule workflows to retrieve new, changed, or full data
  • Remediate inconsistent incoming data
  • Disseminate model results with downstream systems
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Low Startup Friction

Minimal Demands on Internal Technical systems & Resources
  • Turnkey SaaS approach to everything
  • Includes enterprise data warehouse
  • No internal IT investment needed
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Support for All Modern Databases

Extract & Load Data to a Wide Range of Databases
  • Connect to common databases (e.g. MS SQL Server, Oracle, PostgreSQL, MySQL)
  • Connect to HANA, Teradata, Netezza, Hadoop variants, and Exadata
  • Connect to other Analytics databases (e.g. Vertica, Greenplum, Redshift, BigQuery, Snowflake, Firebolt)
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Many Cloud Storage Providers Supported

Use PlaidCloud’s built-in cloud storage or connect to your own
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Interface Directly with ERP Systems

Integrate with multiple instances as well as different kinds of ERP systems
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Cloud Storage

  • Amazon S3
  • Azure Blob Storage
  • Google Cloud Storage
  • Wasabi Hot Storage
  • Other services supporting the S3 protocol


  • Microsoft Teams
  • Slack
  • SMS
  • Email
  • Twitter


  • MS SQL Server
  • Oracle
  • PostgreSQL
  • MySQL/MariaDB
  • HANA
  • Teradata
  • Netezza
  • Hadoop variants (Hive, Spark, Impala, Presto, Trino)
  • Exadata
  • Exasol
  • IBM DB2
  • Vertica
  • Greenplum
  • Redshift
  • BigQuery
  • Snowflake
  • Firebolt
  • ODBC

SAP Systems

  • SAP Profitability and Cost Management (PCM)


  • Quandl
  • Google Sheets
  • Microsoft Excel (Through PlaidXL)
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