Data components are engineered to effortlessly integrate with a wide range of data providers. They provide users with the essential tools to forge connections with numerous data providers and vendors, making the data extraction and loading process more straightforward. Pipeline utilizes these Data components to extract data, transform it using AI components, and subsequently deliver the processed data to the intended destinations.
| Name | Description |
|---|---|
| Instill Artifact | Manipulate and smart search files and data in the artifact store. |
| BigQuery | Insert data to BigQuery tables. |
| Chroma | Build and search vector datasets. |
| Elasticsearch | Access the Elasticsearch database. |
| Google Cloud Storage | Upload data to Google's Cloud Storage. |
| Google Drive | Connect to, and read files and folders within an existing Google Drive. |
| Google Sheets | Connect to and interact with Google Sheets spreadsheets to read and write data. |
| Milvus | Build and search vector datasets. |
| MongoDB | Access the MongoDB NoSQL database. |
| Pinecone | Build and search vector datasets. |
| Qdrant | Build and search vector datasets. |
| Redis | Manage data in NoSQL Redis databases. |
| SQL | Access the SQL database of your choice. |
| Weaviate | Build and search vector datasets. |
| Zilliz | Build and search vector datasets. |