Spanner

Related topics

• Dataflow works with Spanner From the official documentation: “Use Dataflow to load data into Spanner.”
• BigQuery works with Spanner From the official documentation: “Reverse ETL (BigQuery to Spanner)”
• Cloud Monitoring works with Spanner From the official documentation: “Monitor Spanner metrics using Cloud Monitoring.”
• Datastream works with Spanner From the official documentation: “Learn how Datastream ingests data from [Spanner](/datastream/docs/sources-spanner).”
• Identity and Access Management secures Spanner From the official documentation: “Identity and Access Management (IAM) lets you control user and group access to Spanner resources at the project, Spanner instance, and Spanner database levels.”
• point-in-time recovery is part of Spanner From the official documentation: “Spanner point-in-time recovery (PITR) provides protection against accidental deletion or writes.”
• customer-managed encryption keys works with Spanner From the official documentation: “This page describes how to use manually-created customer-managed encryption keys (CMEK) for Spanner.”
• federated queries works with Spanner From the official documentation: “Federated queries let you send a query statement to AlloyDB, Spanner, or Cloud SQL databases and get the result back as a temporary table.”
• Google Cloud Storage works with Spanner From the official documentation: “- Export any Spanner database into a Cloud Storage bucket using either Avro or CSV file formats.”
• Backup is part of Spanner From the official documentation: “This section describes optimal backup performance in Spanner.”
• Cloud SQL is an alternative to Spanner From the official documentation: “If a workload requires transaction processing with strong relational consistencies, [Spanner](/spanner/docs/overview) or [Cloud SQL](/sql/docs) can be better alternatives.”
• vector search is part of Spanner From the official documentation: “This page describes how to conduct full-text and vector hybrid searches in Spanner.”
• Cloud Key Management Service depends on Spanner From the official documentation: “Cloud KMS stores all of its data and metadata in Spanner databases which provide high data durability and availability with synchronous replication.”
• Cloud Key Management Service works with Spanner From the official documentation: “After the database is created, Spanner calls Cloud KMS about every five minutes to make sure that the key is still valid.”
• Cloud Key Management Service secures Spanner From the official documentation: “For Spanner databases in [custom, dual-region, or multi-region instance configurations](/spanner/docs/instance-configurations#configuration), you can use multiple regional (single-region) Cloud KMS keys to protect your database.”
• Cloud Logging works with Spanner From the official documentation: “Both Spanner and Agent Platform provide monitoring dashboards and write logs to Cloud Logging, which can contain additional details.”
• Cloud Storage works with Spanner From the official documentation: “Move Spanner databases to and from Avro or CSV files stored in Cloud Storage.”
• customer-managed encryption keys secures Spanner From the official documentation: “To learn how to use manually-created CMEKs to protect your Spanner resources, see [Secure a database with CMEK](/spanner/docs/use-cmek).”
• Spanner depends on Identity and Access Management From the official documentation: “Spanner relies on IAM for identity management rather than managing user credentials within the database.”
• Spanner works with vector search From the official documentation: “Using the [Spanner to Agent Platform Vector Search workflow](https://github.com/cloudspannerecosystem/spanner-ai/tree/main/vertex-vector-search/workflows#readme), you can integrate your Spanner database with Vector Search to perform a vector similarity search on your Spanner…”
• customer-managed encryption keys depends on Cloud Key Management Service From the official documentation: “These keys are created and managed using Cloud KMS.”
• BigQuery works with Datastream From the official documentation: “Datastream supports three types of partitioning for BigQuery tables:”
• BigQuery works with Sensitive Data Protection From the official documentation: “Uses the Data Loss Prevention API to analyze BigQuery data.”
• Cloud Storage works with Datastream From the official documentation: “When you stream to Cloud Storage, Datastream organizes data by object name and timestamp.”
• BigQuery is an alternative to Cloud Storage From the official documentation: “The `import_result_sink` must be a Cloud Storage path or a BigQuery table.”
• BigQuery works with Cloud Logging From the official documentation: “BigQuery utilizes Cloud Logging for some of your log data.”
• BigQuery works with Cloud Storage From the official documentation: “External BigQuery data source backed by Cloud Storage”
• BigQuery works with Cloud SQL From the official documentation: “Add credentials to connect BigQuery to Cloud SQL.”
• BigQuery works with Dataflow From the official documentation: “Read from BigQuery to Dataflow”
• VPC Service Controls secures BigQuery From the official documentation: “BigQuery data is protected with VPC Service Controls”
• Cloud SQL works with Cloud Storage From the official documentation: “Exports data from a Cloud SQL instance to a Cloud Storage bucket as a SQL dump or CSV file.”
• BigQuery works with Cloud Monitoring From the official documentation: “You can use Monitoring to export your metrics to BigQuery.”
• Cloud Logging works with customer-managed encryption keys From the official documentation: “To use Cloud Logging with Customer-managed encryption keys (CMEK), you must complete the steps in the [Enable CMEK for an organization](/logging/docs/routing/managed-encryption#enable) page in the Cloud Logging documentation.”
• point-in-time recovery is part of Cloud SQL From the official documentation: “Cloud SQL provides the following options to restore your instance using PITR:”
• Dataflow works with Pub/Sub From the official documentation: “Pub/Sub notifies Dataflow about the upload.”
• Cloud Key Management Service works with customer-managed encryption keys From the official documentation: “With CMEK, Cloud Key Management Service wraps your stored volume keys.”
• Cloud Logging works with Cloud SQL From the official documentation: “Cloud SQL uses Cloud Logging.”
• customer-managed encryption keys secures Cloud Storage From the official documentation: “CMEKs encrypt data at rest in Cloud SQL, Cloud Storage, and within GKE clusters.”
• BigQuery works with Pub/Sub From the official documentation: “createBigQuerySubscription creates a Pub/Sub subscription that exports messages to BigQuery.”
• Pub/Sub works with Sensitive Data Protection From the official documentation: “Watch the Pub/Sub topic until the DLP job finishes”
• BigQuery is an alternative to Google Cloud Storage From the official documentation: “The training data can be either a CSV file in Cloud Storage or a table in BigQuery.”
• BigQuery is an alternative to Pub/Sub From the official documentation: “To keep audit logs for a longer period of time or to use more powerful search capabilities, you can route copies of your audit logs to Cloud Storage, BigQuery, or Pub/Sub.”
• Cloud Storage works with Dataflow From the official documentation: “Write from Dataflow to Cloud Storage”
• Cloud Storage works with Sensitive Data Protection From the official documentation: “Uses the Data Loss Prevention API to analyze a file on GCS.”
• BigQuery works with Google Cloud Storage From the official documentation: “Load Cloud Storage data into BigQuery”
• Cloud Monitoring works with Cloud SQL From the official documentation: “You can also get more details by viewing the Cloud Monitoring logs for your Cloud SQL destination instance.”
• Cloud SQL works with Identity and Access Management From the official documentation: “This page describes how Cloud SQL is integrated with IAM .”
• Cloud Storage works with Pub/Sub From the official documentation: “| **Google Cloud** | Cloud Storage | Pub/Sub |”
• customer-managed encryption keys secures BigQuery From the official documentation: “You can either create CMEKs manually to protect your BigQuery resources or use Cloud KMS Autokey.”
• Cloud Key Management Service works with Cloud SQL From the official documentation: “Cloud KMS integrates with Cloud SQL.”
• Cloud Storage works with customer-managed encryption keys From the official documentation: “Cloud Storage supports CMEK for routing logs.”
• customer-managed encryption keys secures Cloud SQL From the official documentation: “Enable CMEK for Cloud SQL Databases”
• customer-managed encryption keys secures Pub/Sub From the official documentation: “Encrypt Pub/Sub topic with CMEK”
• Identity and Access Management secures BigQuery From the official documentation: “Access to BigQuery data from AlloyDB is managed through IAM.”
• VPC Service Controls secures Cloud Storage From the official documentation: “Storage Transfer Service supports transfers to Cloud Storage buckets protected by VPC Service Controls.”
• Cloud SQL works with Datastream From the official documentation: “This page describes an example NAT VM configuration that lets Datastream privately connect to a Cloud SQL instance.”
• Cloud Storage works with Identity and Access Management From the official documentation: “To learn how to use IAM with Cloud Storage, see [Using IAM Permissions](/storage/docs/access-control/using-iam-permissions).”
• Cloud Storage is an alternative to Pub/Sub From the official documentation: “To keep audit logs for a longer period of time or to use more powerful search capabilities, you can route copies of your audit logs to Cloud Storage, BigQuery, or Pub/Sub.”
• customer-managed encryption keys is part of Cloud Key Management Service From the official documentation: “The Cloud KMS keys that you create are customer-managed keys.”
• Identity and Access Management secures Cloud Storage From the official documentation: “Cloud Storage uses Identity and Access Management (IAM) for authorization.”