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Head-to-head · Vector Databases

Elasticsearch vs Actian VectorAI DB

  • Updated Oct 2026
  • Both researched from official sources
  • 3 checks side by side
Higher score Elasticsearch #1 in Vector Databases 9.3/10 Free plan · 14-day trial Free planFree trial✓ 0 of 3 features Visit Elasticsearch
Actian VectorAI DB #4 in Vector Databases 9.0/10 Free plan · 30-day trial Free planFree trial✓ 2 of 3 features Visit Actian

Elasticsearch leads on 0 checks, Actian VectorAI DB on 0, and 3 are even. Who comes out ahead on the 3 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreElasticsearch · 9.3/10
  • Free planboth
  • Free trialboth
  • Most featuresActian VectorAI DB · 2 of 3

Elasticsearch scores higher on our rubric for vector databases: 9.3 against 9.0 out of 10; our editors rank them #1 and #4.

Elasticsearch is the better fit for search teams adding vectors to mature analytics stacks. Actian VectorAI DB is the better fit for teams needing broad deployment and multimodal inputs.

  • Elasticsearch fits best

    Search teams adding vectors to mature analytics stacks

  • Actian VectorAI DB fits best

    Teams needing broad deployment and multimodal inputs

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature Elasticsearch 9.3/10 Visit ↗ Actian VectorAI DB 9.0/10 Visit ↗
At a glance
Editor score 9.3 9.0
Ranking #1 in Vector Databases #4 in Vector Databases
Best for Search teams adding vectors to mature analytics stacks Teams needing broad deployment and multimodal inputs
Pricing model Free plan + paid Free plan + paid
Starting price — $417/mo
Free plan ✓ ✓
Free trial 14 days 30 days
Free trial length 14 days · no card needed 30 days
Deployment Cloud, Self-hosted Desktop, Self-hosted
Platforms Web Linux, Windows, macOS
Integrations 3 integrations 4 integrations
Features Elasticsearch 0/3 · Actian VectorAI DB 2/3
Hybrid search Not checked yet ✓ (best)
Metadata filtering Not checked yet ✓ (best)
Sparse vectors Not checked yet Not checked yet
Specs
Deployment Both Both
Maximum dimensions Not checked yet Not checked yet
Index types Not checked yet HNSW, flat
SDK languages Not checked yet Python, JavaScript, C++
Our review
Pros
  • Combines lexical, semantic, vector, hybrid, filtered, and geospatial search
  • Supports distributed storage, replication, scaling, aggregations, and analytics
  • Offers managed, self-hosted, API, Kubernetes, cloud, and on-premises deployment
  • Dense, hybrid, filtered, and multimodal retrieval support
  • Docker, Kubernetes, Helm, and Terraform deployment options
  • Free Community plan plus a 30-day trial
Cons
  • Elastic Cloud pricing varies by provider, region, instance type, and usage
  • The Basic plan is self-managed rather than a managed Elastic Cloud deployment
  • Its broad search and analytics scope may exceed dedicated vector database needs
  • Paid pricing is listed for only Starter and Growth
  • Community capacity is limited to 5K vectors
  • Sparse BM25 scoring is client-side rather than native storage
Our verdict

Elasticsearch is a distributed search and analytics engine for structured, unstructured, and vector data. It suits search teams that want to add vector retrieval to an established analytics stack rather than adopt a narrowly focused vector…

Read the review →

Actian VectorAI DB is a self-hosted vector database for semantic search, retrieval-augmented generation, recommendations, and AI agent memory. It supports local machines, servers, virtual machines, on-premises infrastructure, self-managed…

Read the review →
  1. ElasticsearchVector Databases 9.3Free plan · 14-day trial
  2. Actian VectorAI DBVector Databases 9.0Free plan · 30-day trial

Strengths and trade-offs

  • Elasticsearch — where it wins

    • Combines lexical, semantic, vector, hybrid, filtered, and geospatial search
    • Supports distributed storage, replication, scaling, aggregations, and analytics
    • Offers managed, self-hosted, API, Kubernetes, cloud, and on-premises deployment

    Where it doesn't

    • Elastic Cloud pricing varies by provider, region, instance type, and usage
    • The Basic plan is self-managed rather than a managed Elastic Cloud deployment
    • Its broad search and analytics scope may exceed dedicated vector database needs

  • Actian VectorAI DB — where it wins

    • Dense, hybrid, filtered, and multimodal retrieval support
    • Docker, Kubernetes, Helm, and Terraform deployment options
    • Free Community plan plus a 30-day trial

    Where it doesn't

    • Paid pricing is listed for only Starter and Growth
    • Community capacity is limited to 5K vectors
    • Sparse BM25 scoring is client-side rather than native storage
  • Elasticsearch9.3/10 · Free plan · 14-day trial

    A broad hybrid-search platform for teams adding vectors to mature analytics stacks.

    Visit ElasticsearchFull verdict →
  • Actian VectorAI DB9.0/10 · Free plan · 30-day trial

    A flexible self-hosted vector database for multimodal and hybrid retrieval.

    Visit ActianFull verdict →

More comparisons

All vector databases comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update