DataLane

All stacks · Operational data stores

Elasticsearch

Search, logs, and OpenSearch as a serving plane beside the warehouse.

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About Elasticsearch

Elasticsearch and OpenSearch are the search and log serving plane: inverted indexes, not a warehouse. Data engineers land events here for product search and observability, then regret using it as the system of record.

What you'll learn here

  • Index mappings and why dynamic mapping bites
  • When to dual-write vs change-data into search
  • OpenSearch vs Elasticsearch as a procurement fact
  • Why aggregations here are not a substitute for ClickHouse or a warehouse

Frequently asked questions

Can Elasticsearch replace the warehouse?

No. Different storage, different consistency, terrible at wide analytical joins. Search belongs in search. Finance belongs in a warehouse.

How should I keep search in sync?

CDC or an event bus into the indexer, with an idempotent document id. Nightly full reindex is a fallback, not the architecture.

OpenSearch or Elasticsearch?

Whatever your cloud and license already are. AWS shops often land on OpenSearch. The DE skill is mappings and sync, not the brand fight.

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