Elasticsearch to Google BigQuery Integration
AI-first ETL from Elasticsearch into Google BigQuery. Governed entities, incremental sync, typed landing tables.
How Datrise loads Elasticsearch into Google BigQuery
Datrise syncs Elasticsearch's indices, documents, mappings, fields, search queries, and aliases into Google BigQuery as a partitioned table per source entity. Flexible or custom fields land in JSON or nested/repeated (STRUCT) columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.
Sync is incremental: Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target, so re-runs update only what changed. Partition by ingestion or event date and cluster by entity id to keep scanned bytes low. BigQuery bills by bytes scanned, so Datrise partitions and clusters every table to keep query costs predictable.
Ideal for Google-stack analytics and ML on serverless infrastructure.
Endpoints
Elasticsearch: Search and analytics engine over document indices.
Google BigQuery: Serverless analytics warehouse on GCP.
How Elasticsearch entities map to Google BigQuery
| Elasticsearch entity | Google BigQuery object | Notes |
|---|---|---|
| indices | elasticsearch_indices | id PK · custom fields → JSON or nested/repeated (STRUCT) columns |
| documents | elasticsearch_documents | id PK · linked to elasticsearch_indices |
| mappings | elasticsearch_mappings | id PK · linked to elasticsearch_indices |
| fields | elasticsearch_fields | id PK · linked to elasticsearch_indices |
FAQ
How does Datrise handle Elasticsearch's custom fields in Google BigQuery?
Flexible values are stored as JSON or nested/repeated (STRUCT) columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Google BigQuery types.
How does the Elasticsearch to Google BigQuery sync stay up to date?
It runs incrementally — Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target.
Related pipelines
More destinations for Elasticsearch
- Elasticsearch → Amazon Redshift
- Elasticsearch → Databricks SQL Warehouse
- Elasticsearch → ClickHouse
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- Elasticsearch → Azure Synapse
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- Elasticsearch → Airtable
- Elasticsearch → CSV Files
- Elasticsearch → MongoDB
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Early access
Connect Elasticsearch to Google BigQuery the easy way
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