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Databases · head to head

Elasticsearch vs Zilliz

Elasticsearch logo

Elasticsearch

Databases

The heart of the Elastic Stack for search and analytics

From
Free
Rated
-
Full reviewWebsite
Zilliz logo

Zilliz

Databases

Managed vector database and vector lakebase for AI applications

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Elasticsearch eventual consistency model with 1-second default refresh interval, not suitable for real-time transactional requirements; Zilliz pricing structure not publicly disclosed, requires sales contact
  • They diverge on capability: Elasticsearch covers Full-text Search, Zilliz covers Vector indexing.

Where they differ

Only the attributes on which Elasticsearch and Zilliz actually diverge.

Attributes where Elasticsearch and Zilliz differ
AttributeElasticsearchZilliz
Pricing modelUnknowncontact-sales
PlatformsLinux, Windows, macOS, Docker, KubernetesCloud, Self-hosted
Founded20102017

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Databases).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Elasticsearch

  • Full-text Search
  • Real-time Analytics
  • Distributed Architecture
  • RESTful API
  • Schema-free JSON
  • Aggregations
  • Machine Learning
  • Kibana

Only in Zilliz

  • Vector indexing
  • Distributed architecture
  • SQL interface
  • Tensor support
  • Real-time search
  • Cloud-native
  • Open-source compatible

What people use each for

The jobs each tool is most often brought in to do.

Elasticsearch

  • Real-time applicationsnot Zilliz
  • Content managementnot Zilliz
  • User profilesnot Zilliz
  • Mobile backendsnot Zilliz
  • Cachingnot Zilliz

Zilliz

  • Build retrieval-augmented generation (RAG) systemsnot Elasticsearch
  • Implement semantic search over documentsnot Elasticsearch
  • Create multimodal search with text and imagesnot Elasticsearch
  • Power recommendation engines with vector similaritynot Elasticsearch
  • Enable similarity search on user embeddingsnot Elasticsearch

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Elasticsearch

  • Eventual consistency model with 1-second default refresh interval, not suitable for real-time transactional requirements
  • No support for ACID transactions or rollbacks; updates delete and re-insert documents
  • JVM-dependent architecture requires careful memory management and monitoring to prevent garbage collection issues at scale

Zilliz

  • Pricing structure not publicly disclosed, requires sales contact
  • Operational complexity for self-hosted Milvus deployments
  • Learning curve for those unfamiliar with vector databases
  • Limited built-in analytics compared to some alternatives

Pricing, plan by plan

Elasticsearch

Free
  • Self-ManagedFree
    • Open source
    • Self-hosted
  • Elasticsearch Cloud$16.4/month
    • Managed service
    • 14-day free trial

Zilliz

Free

No published plan breakdown. See the Zilliz review.

Which should you pick?

Choose Elasticsearch if

  • You need full-text search.
  • You want to start without paying.
  • You work on Linux, Windows, macOS, Docker, Kubernetes.
  • You also want real-time analytics.
Elasticsearch review

Choose Zilliz if

  • You need vector indexing.
  • You want to start without paying.
  • You work on Cloud, Self-hosted.
  • You also want distributed architecture.
Zilliz review

Questions people ask

Is Elasticsearch or Zilliz better?
Neither clearly leads. Elasticsearch starts at Free and Zilliz at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Elasticsearch or Zilliz?
Elasticsearch starts at Free and Zilliz at Free.
Does Elasticsearch or Zilliz run on more platforms?
Elasticsearch runs on Linux, Windows, macOS, Docker, Kubernetes. Zilliz runs on Cloud, Self-hosted.
Can I use Elasticsearch for free?
Both have a free tier, so you can try either at no cost before committing.
What is Elasticsearch best used for?
Elasticsearch is most often used for real-time applications, content management, user profiles, mobile backends. Of those, real-time applications and content management are not what Zilliz is typically brought in for.
What can Elasticsearch do that Zilliz cannot?
Elasticsearch covers Full-text Search, Real-time Analytics, Distributed Architecture, RESTful API. Zilliz covers Vector indexing, Distributed architecture, SQL interface, Tensor support.

Answered from the vendors’ own pages

Elasticsearch: Is Elasticsearch free?

Yes, Elasticsearch can be deployed as free and open-source software for self-managed installations. Elastic Cloud managed service starts at $16.40 per month, with a free 14-day trial available.

Source
Zilliz: What is the difference between Milvus and Zilliz Cloud?

Milvus is the open-source vector database that you can self-host. Zilliz Cloud is the fully managed service built on Milvus that removes operational overhead and handles scaling automatically.

Source
Elasticsearch: Can I use Elasticsearch without Kibana?

Yes, Elasticsearch is a search engine independent of Kibana. Kibana is a visualization and analytics tool that works with Elasticsearch but is optional. You can use the Elasticsearch API directly for searching.

Source
Zilliz: How many vectors can Zilliz handle?

Milvus and Zilliz Cloud can store and search billions of vectors through their distributed architecture that separates storage and compute layers.

Source
Elasticsearch: Does Elasticsearch support real-time indexing?

Elasticsearch indexes data with a refresh interval, typically 1 second. Data becomes searchable after the refresh cycle, making it near-real-time but not instantaneous. This can be configured but impacts performance.

Source
Zilliz: Is Milvus open-source?

Yes, Milvus is open-source under the Apache License 2.0 and is part of the LF AI & Data Foundation.

Source
Elasticsearch: What are Elasticsearch's scaling limitations?

Elasticsearch requires careful operational management at scale, including shard balancing, heap sizing, and monitoring. Large clusters can suffer from garbage collection issues and become expensive to operate.

Source
Zilliz: What pricing does Zilliz Cloud offer?

Zilliz Cloud pricing is not publicly listed and requires contacting their team to discuss your specific scale and use case requirements.

Source
Elasticsearch: Does Elasticsearch support transactions and rollbacks?

No, Elasticsearch does not support ACID transactions or rollbacks. Updates are expensive operations that delete and re-insert documents, making it unsuitable for transactional workloads.

Source
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