Firestore Writer
Google Cloud Firestore is a flexible, scalable, serverless NoSQL database for mobile, web, and server development from Firebase and Google Cloud. Firestore requires no pre-provisioning of resources and automatically scales to match your application's load. Firestore is offered in two editions, Standard and Enterprise. The Enterprise edition supports MongoDB compatibility, which lets developers use existing MongoDB application code, drivers, and tools with Firestore.
You can use Striim's Firestore Writer to write data from transactional databases such as Oracle and SQL Server, NoSQL databases such as MongoDB and Cosmos DB, and other supported sources into Firestore. Firestore Writer writes to Firestore Enterprise edition databases with MongoDB compatibility.
Firestore Writer summary
Supported targets | Firestore Writer writes to Firestore Enterprise edition databases with MongoDB compatibility. The Firestore Standard edition and the Firestore native API are not supported. |
Connectivity | Firestore Writer connects using the MongoDB Java Sync driver over TLS, using a Striim connection profile that holds the connection and authentication properties. |
Authentication | Firestore Writer supports three authentication types:
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Operation and event type handling | Firestore Writer handles database operations and event types the same way as MongoDB Writer. |
Resilience and recovery |
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Performance | Supports parallel threads to increase throughput to the target during initial load. |
Programmability |
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Notes on Firestore terminology
Because Firestore Writer uses MongoDB compatibility, MongoDB's terms apply, and some have different meanings than they do in the context of popular SQL databases.
Database: contains one or more collections. A Google Cloud project can contain multiple Firestore databases, but each connection accesses a single database. To write to more than one database, configure a separate connection for each.
Collection: contains one or more documents, comparable to a table in SQL.
Document: a set of key-value pairs, comparable to a row in SQL, but without a fixed schema.