Is Databricks Vector Search better than Elasticsearch in 2026?

It depends on your needs. Databricks Vector Search is rated higher at 4.5/5 vs Elasticsearch's 4.3/5. Databricks Vector Search excels at managed vector database integrated into databricks, storing embeddings alongside delta lake tables., while Elasticsearch focuses on elasticsearch vector search with hnsw dense vector fields and k-nn search, available from v8.0+.. Databricks Vector Search starts at custom pricing; Elasticsearch starts at $95/mo.

Which is cheaper, Databricks Vector Search or Elasticsearch?

Databricks Vector Search starts at custom pricing; Elasticsearch starts at $95/mo. Databricks Vector Search starts at Custom, and Elasticsearch also offers a free tier.

Can I migrate from Databricks Vector Search to Elasticsearch?

Most users can switch between these tools. Elasticsearch supports data import from Databricks Vector Search. Plan 1-3 days for migration depending on data volume and team size.

What are the key differences between Databricks Vector Search and Elasticsearch?

Databricks Vector Search uniquely offers Managed Vector Index, Delta Lake Integration, Unity Catalog Governance. Elasticsearch uniquely offers Dense Vector Search (kNN), Sparse Vector Search (ELSER), Hybrid Search (RRF). Both share 2 features including LangChain Integration, REST API. Databricks Vector Search starts at custom pricing; Elasticsearch starts at $95/mo. Founded in 2013 and 2012 respectively.

When was this Databricks Vector Search vs Elasticsearch comparison last updated?

This comparison was last updated on May 13, 2026. We review and refresh our comparisons regularly to reflect the latest pricing, features, and ratings from Databricks Vector Search and Elasticsearch.

Home›Vector Databases›Compare›Databricks Vector Search vs Elasticsearch

Updated May 13, 2026 · Independent Analysis

Databricks Vector SearchvsElasticsearch

Capability Overview

Databricks Vector Searchvs Elasticsearch

★ 4.5/5+0.2 vs Elasticsearch

Only in Databricks Vector Search

✦ Managed Vector Index
✦ Delta Lake Integration
✦ Unity Catalog Governance

10k+ users · est. 2013

View Full Review Try Databricks Vector Search Free

Elasticsearchvs Databricks Vector Search

★ 4.3/5-0.2 vs Databricks Vector Search

Only in Elasticsearch

✦ Dense Vector Search (kNN)
✦ Sparse Vector Search (ELSER)
✦ Hybrid Search (RRF)

✓ Free planFrom $95/mo1B+ users · est. 2012

View Full Review Try Elasticsearch Free

Pricing Features Pros & Cons At a Glance FAQ Related

Pricing Intelligence

Databricks Vector Search Plans

Paid plans only

Included in Databricks

Custom

• Bundled with Unity Catalog
• DBU consumption
• Enterprise SLA

Full Databricks Vector Search Pricing Breakdown →

Elasticsearch Plans

Free tier available

Open Source0

Open Source

• Full features
• SSPL license
• Community support

Elastic CloudBest Value

$95/mo

• Managed cloud
• Starting config
• Enterprise security

Enterprise

Custom

• Custom SLA
• Dedicated support
• Air-gapped options

Full Elasticsearch Pricing Breakdown →

Feature Matrix

7 differences found across 14 standardized features

Feature

Databricks Vector Search

Elasticsearch

Self-Hosted

✗

✓

Open Source

✗

✓

Sparse Vectors

✗

✓

GPU Acceleration

✓

✗

Built-in Embedding

✓

✗

Real-time Updates

✗

✓

HNSW Index

✗

✓

Total (raw)

Pros & Cons Face-Off

Evaluative strengths and weaknesses — not feature lists

Databricks Vector Search

Pros

+Seamless integration with Delta Lake and Unity Catalog
+Auto-sync keeps vector index current without manual pipelines
+Unified governance across data and vectors
+No separate infrastructure for existing Databricks users

Cons

−Only available within Databricks — no standalone option
−Adds to Databricks DBU costs

Elasticsearch

Pros

+Combines vector search with world-class full-text search in one engine
+1B+ downloads — vast operational expertise available
+ELSER provides state-of-the-art sparse vector without custom models
+Part of comprehensive ELK observability stack

Cons

−Operational complexity of Elasticsearch at scale
−Not purpose-built for vector — performance trails Qdrant/Pinecone

At a Glance

User Rating

4.5/5vs4.3/5

Databricks Vector Search

▲

Elasticsearch

Starting Price

Contactvs$95/mo

Databricks Vector Search

Elasticsearch

▲

Feature Count

16 featuresvs16 features

Databricks Vector Search

Elasticsearch

User Base

10vs1

Databricks Vector Search

▲

Elasticsearch

Frequently Asked Questions

Related Comparisons

Databricks Vector Search vs Pinecone →Databricks Vector Search vs Weaviate →Databricks Vector Search vs Milvus / Zilliz Cloud →Elasticsearch vs Chroma →Elasticsearch vs Qdrant →Elasticsearch vs MongoDB Atlas →Databricks Vector Search Alternatives →Elasticsearch Alternatives →

Authored by Oleh KemExpert verified·Updated May 13, 2026·Our methodology