Connect
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
Data Validation
Proactively Ensure Data Quality
- Organize data during ingestion
- Standardize data types & handle exceptions
- Detect and remediate inconsistencies in incoming data
Automation
Spin Up And Let Go
- Schedule workflows to retrieve new, changed, or full data
- Remediate inconsistent incoming data
- Disseminate model results with downstream systems
Low Startup Friction
Minimal Demands on Internal Technical Systems & Resources
- Turnkey SaaS approach to everything
- Includes enterprise data warehouse
- No internal IT investment needed
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)
Many Cloud Storage Providers Supported
Use PlaidCloud's Built-In Cloud Storage or Connect to Your Own
- Versioned document storage built-in to store all of your important files
- Add other cloud storage locations easily from Amazon S3, Azure Blob Storage, Google Cloud Storage, Wasabi Hot Storage and many others
- Easily import, export, and transform files from workflows
Open Platform for Limitless Possibilities
Open Platform Approach Makes It Easy to Use With Other Tools
- Interact with PlaidCloud from CLI and remote systems using our API.
- Build your own tools to interact with PlaidCloud through JSON-RPC.
- Connect from Jupyter notebooks and Python using the PlaidCloud Python library.
Connectors
Cloud Storage
- Amazon S3
- Azure Blob Storage
- Google Cloud Storage
- Wasabi Hot Storage
- Other services supporting the S3 protocol
Notifications
- Microsoft Teams
- Slack
- SMS
Databases
- 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 ECC
- SAP S/4HANA
- SAP Profitability and Cost Management (PCM)
Other
- Quandl
- Google Sheets
- Microsoft Excel (Through PlaidXL)
Frequently Asked Questions
What systems does PlaidCloud connect to?
ERPs, accounting platforms, CRMs, HR systems, data warehouses, databases, files, and APIs, through 140+ connectors plus a unified REST step. Quick configuration gets most sources flowing in minutes.
Can PlaidCloud reach on-premises systems?
Yes. Secure agents connect on-premises sources without exposing them to the internet, so cloud and on-premises data land in the same workflows.
How is data validated during loading?
Ingestion steps can organize, standardize, and quality-check data as it arrives, so issues are corrected proactively rather than discovered downstream in reports.
Can loads be automated?
Yes. Connections run inside workflows that can be scheduled or triggered, keeping data current without manual pulls.
Insights
Related Insights
