Best Vertex AI Vector Search Alternatives in 2026
The top Vertex AI Vector Search alternatives are Elasticsearch, VikingDB and Actian VectorAI DB: 15 vector databases our editors would look at instead of Vertex AI Vector Search, in our ranking order.
Vertex AI Vector Search: A managed Google Cloud option for teams building dense, sparse, and hybrid search. Where it falls short: usage-based costs span serving, building, and updating indexes.
Switching from Vertex AI Vector Search? For most vector databases buyers the best Vertex AI Vector Search alternative is Elasticsearch, built for search teams adding vectors to mature analytics stacks. On a budget, Cloudflare Vectorize starts at $5/mo. Qdrant offers the most maximum dimensions (65535 dimensions).
Why People Look for a Vertex AI Vector Search Alternative
- Usage-based costs span serving, building, and updating indexes
- Cloud deployment limits portability across infrastructure providers
- Requires Google Cloud services and client libraries for its ecosystem fit
Quick Picks by What You Need
- Best overallElasticsearch9.3
Search teams adding vectors to mature analytics stacks
Visit Elasticsearch - Lowest priceCloudflare Vectorize8.9
Paid plans from $5/mo
Visit Cloudflare Vectorize - Best free optionElasticsearch9.3
Has a free plan
Visit Elasticsearch - Most maximum dimensionsQdrant8.7
65535 dimensions
Visit Qdrant
All 15 Vertex AI Vector Search Alternatives, Ranked
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.
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Best forSearch teams adding vectors to mature analytics stacks
- Better than Vertex AI Vector Search:
- Editor score 9.3 vs 9.2
A broad hybrid-search platform for teams adding vectors to mature analytics stacks.
9.3/10★★★★★Visit Elasticsearch -
Best forCloud users needing multimodal vector retrieval
A cloud vector database with dense, sparse, hybrid, filtered, and multimodal retrieval.
- Sparse vectors
- Hybrid search
9.1/10★★★★★Visit VikingDB -
Best forTeams needing broad deployment and multimodal inputs
A flexible self-hosted vector database for multimodal and hybrid retrieval.
- Hybrid search
9.0/10★★★★☆Visit Actian -
Best forCloudflare Workers applications needing simple vectors
A focused vector database for Workers apps with simple pricing and metadata-aware search.
8.9/10★★★★☆Visit Cloudflare -
Best forOpen-source teams needing maximum vector depth
A deep, flexible open-source choice for demanding vector and hybrid search workloads.
- Sparse vectors
- Hybrid search
8.8/10★★★★☆Visit Milvus -
Best forModern teams wanting open hybrid search
A flexible vector database for teams building hybrid search and AI retrieval.
- Sparse vectors
- Hybrid search
8.7/10★★★★☆Visit Qdrant -
Best forManaged Milvus-compatible cloud deployments
A capable managed vector database for teams building AI search applications.
- Sparse vectors
- Hybrid search
8.6/10★★★★☆Visit Zilliz Cloud -
Best forTeams needing managed or self-hosted RAG search
A flexible vector database for managed or self-hosted RAG search.
- Sparse vectors
- Hybrid search
8.5/10★★★★☆Visit Weaviate -
Best forTeams wanting a mature managed vector service
A mature managed vector service with broad search, indexing, and deployment options.
- Sparse vectors
- Hybrid search
8.4/10★★★★☆Visit Pinecone -
Best forLarge-scale search and ranking systems
A powerful distributed engine for hybrid retrieval, ranking, and real-time AI search.
- Sparse vectors
- Hybrid search
8.3/10★★★★☆Visit Vespa -
Best forDevelopers needing local multimodal vector storage
A local-first vector database for multimodal retrieval and evolving AI data.
- Hybrid search
8.2/10★★★★☆Visit LanceDB -
Best forTeams needing scalable cloud vector infrastructure
A broad hosted retrieval database for teams building AI search at cloud scale.
- Sparse vectors
- Hybrid search
8.1/10★★★★☆Visit turbopuffer -
Best forAI teams needing multimodal retrieval integrations
A flexible vector database for multimodal retrieval, with a free tier and paid usage costs.
- Sparse vectors
- Hybrid search
8.0/10★★★★☆Visit Chroma -
Best forLow-cost serverless vector workloads
A low-cost serverless vector database with hybrid search and flexible usage pricing.
- Sparse vectors
- Hybrid search
7.9/10★★★★☆Visit Upstash Vector -
Best forRetailers building semantic commerce search
A retail-focused vector search platform with multimodal discovery and merchandising controls.
- Hybrid search
7.8/10★★★★☆Visit Marqo
Vertex AI Vector Search Alternatives: Common Questions
What is the best alternative to Vertex AI Vector Search?
Elasticsearch: #1 in our Vector Databases ranking, with an editor score of 9.3 out of 10. A broad hybrid-search platform for teams adding vectors to mature analytics stacks.
Is there a free alternative to Vertex AI Vector Search?
Yes. Elasticsearch, Actian VectorAI DB, Cloudflare Vectorize, Milvus and Qdrant have a free plan or a free tier (11 of the 15 alternatives on this page).
What is the cheapest paid alternative to Vertex AI Vector Search?
Of the alternatives here that publish a price, Cloudflare Vectorize starts lowest, at $5/mo.
Why do people look for Vertex AI Vector Search alternatives?
Usage-based costs span serving, building, and updating indexes; Cloud deployment limits portability across infrastructure providers; Requires Google Cloud services and client libraries for its ecosystem fit.
Which Vertex AI Vector Search alternative has the most maximum dimensions?
Qdrant, with 65535 dimensions.
How do I switch from Vertex AI Vector Search?
Export your data from Vertex AI Vector Search (most tools have an export in their settings). Sign up for the alternative; start on its free plan or trial if it has one. Import your export and set up the integrations your team relies on. Run both side by side for a short while, then cancel Vertex AI Vector Search.
How to Switch from Vertex AI Vector Search
- Export your data from Vertex AI Vector Search (most tools have an export in their settings).
- Sign up for the alternative; start on its free plan or trial if it has one.
- Import your export and set up the integrations your team relies on.
- Run both side by side for a short while, then cancel Vertex AI Vector Search.
Vertex AI Vector Search vs Each Alternative
| # | Tool | Free plan | Paid from | Deployment | Hybrid search | Metadata filtering | Sparse vectors | Score |
|---|---|---|---|---|---|---|---|---|
| 2 | Vertex AI Vector Search | Cloud | Yes | Yes | Yes | 9.2 | ||
| 1 | Elasticsearch | Yes | Both | 9.3 | ||||
| 2 | VikingDB | Cloud | Yes | Yes | Yes | 9.1 | ||
| 3 | Actian VectorAI DB | Yes | $417/mo | Both | Yes | Yes | 9.0 | |
| 4 | Cloudflare Vectorize | Yes | $5/mo | Cloud | No | Yes | No | 8.9 |
| 5 | Milvus | Yes | Free | Both | Yes | Yes | Yes | 8.8 |
| 6 | Qdrant | Yes | Both | Yes | Yes | Yes | 8.7 | |
| 7 | Zilliz Cloud | Yes | Cloud | Yes | Yes | Yes | 8.6 | |
| 8 | Weaviate | Yes | $45/mo | Both | Yes | Yes | Yes | 8.5 |
| 9 | Pinecone | Yes | Cloud | Yes | Yes | Yes | 8.4 | |
| 10 | Vespa | No | $0.05/unit usage-based | Both | Yes | Yes | Yes | 8.3 |
| 11 | LanceDB | Free | Both | Yes | Yes | No | 8.2 | |
| 12 | turbopuffer | No | $16/mo | Both | Yes | Yes | Yes | 8.1 |
| 13 | Chroma | Yes | $250/mo | Both | Yes | Yes | Yes | 8.0 |
| 14 | Upstash Vector | Yes | $60/mo | Cloud | Yes | Yes | Yes | 7.9 |
| 15 | Marqo | No | Cloud | Yes | Yes | 7.8 |
Head-to-Head
- Vertex AI Vector Search vs Elasticsearch
- Vertex AI Vector Search vs VikingDB
- Vertex AI Vector Search vs Actian VectorAI DB
- Vertex AI Vector Search vs Cloudflare Vectorize
- Vertex AI Vector Search vs Milvus
- Vertex AI Vector Search vs Qdrant
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update