Sync data from MongoDB Atlas to Elasticsearch
CloudQuery is the simple, fast data integration platform that can replicate your data from MongoDB Atlas to Elasticsearch
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Fast and reliable
CloudQuery’s efficient design means our syncs are fast and a sync from MongoDB Atlas to Elasticsearch can be completed in a fraction of the time compared to other tools.
Easy to use, easy to maintain
MongoDB Atlas syncing using CloudQuery is easy to set up and maintain thanks to its simple YAML configuration. Once synced, you can use normal SQL queries to work with your data.
A huge library of supported destinations
Elasticsearch isn’t the only place we can sync your MongoDB Atlas data to. Whatever you need to do with your MongoDB Atlas data, CloudQuery can make it happen. We support a huge range of destinations, customizable transformations for ETL, and we regularly release new plugins.
Extensible and Open Source SDK
Write your own connectors in any language by utilizing the CloudQuery open source SDK powered by Apache Arrow. Get out-of-the-box scheduling, rate-limiting, transformation, documentation and much more.
Ready to get started?
Self-hosted
Run anywhere from your local machine, a Virtual Machine or Kubernetes. Full instructions on CLI setup are available in our documentation.
Cloud-hosted
Start syncing in a few clicks. No need to deploy your own infrastructure.
Step by step guide for how to export data from MongoDB Atlas to Elasticsearch
Table of Contents
MacOS Setup
Step 1. Install CloudQuery
brew install cloudquery/tap/cloudquery
Step 2. Log in to CloudQuery CLI
cloudquery login
Step 3. Run CloudQuery Init
cloudquery init --source=mongodbatlas --destination=elasticsearch
This will generate a config file named mongodbatlas_to_elasticsearch.yaml. Follow the instructions to fill out the necessary fields to authenticate against your own environment.
Step 4. Run a Sync
cloudquery sync mongodbatlas_to_elasticsearch.yaml
See the CloudQuery documentation portal for more deployment guides, options and further tips.