Elasticsearch integration
Elasticsearch data, in your warehouse.
A built-in ingestr connector: add credentials, pick tables, schedule it.
name: raw.table
type: ingestr
parameters:
source_connection: elasticsearch
source_table: '<table>'
destination: snowflake
incremental_strategy: merge$ bruin run assets/raw/elasticsearch.asset.yml
- extract · Elasticsearch dataincremental
- load · snowflake raw.datamerged
- checks · not_null, unique
Loaded and checked. Downstream models can run.
How it connects
Connected in three steps.
Distributed, RESTful search and analytics engine built on Apache Lucene, designed for horizontal scalability and real-time search.
- 01
Add a Elasticsearch connection with its credentials.
- 02
Pick the tables to load and how: replace, append or merge.
- 03
Bruin runs it on your schedule and checks every load.
Connection parameters
- username
- Elasticsearch username (if security enabled)
- password
- Elasticsearch password (if security enabled)
- host
- Elasticsearch host
- port
- Elasticsearch port (default: 9200)
- ssl
- Enable SSL/TLS
- verify_certs
- Verify SSL certificates
Step-by-step
Pick a destination.
Elasticsearch → Snowflake
Read the guide
Elasticsearch → Google BigQuery
Read the guide
Elasticsearch → Databricks
Read the guide
Elasticsearch → Amazon Redshift
Read the guide
Elasticsearch → PostgreSQL
Read the guide
Elasticsearch → ClickHouse
Read the guide
Elasticsearch → DuckDB
Read the guide
Elasticsearch → MotherDuck
Read the guide
The platform
Part of the Bruin platform.
Data in, ready for everything downstream: the models, the checks, the lineage and the AI layer.
Sources
DatabasesWarehousesApps & APIsFiles & storageStreams & webhooksWeb scrapingMove
Data IngestionFrequently asked
Questions about Elasticsearch.
Does Bruin have a built-in Elasticsearch integration?
Yes. Built-in ingestr source. Built-in ingestr destination. Runs SQL and Python assets.
Where can Elasticsearch data go?
Snowflake, BigQuery, Databricks, Redshift, ClickHouse, Postgres, DuckDB, MotherDuck, Microsoft Fabric and more, plus files on S3 and GCS.
How fresh is the data?
As fresh as your schedule. Incremental loads append, merge or replace a time window, every few minutes if you like.
Do we need Bruin Cloud?
No. The Bruin CLI and ingestr run locally, in CI or in your own orchestrator. Bruin Cloud adds scheduling, lineage, alerts and the AI data analyst on top.
Ready to connect Elasticsearch?
$100 in credits and 50 AI tasks. No credit card.
A demo walks through your own data.