Manticore Search vs Quickwit
No clear leader: Quickwit (53.1) and Manticore Search (50.4) are within the 5-point margin; treat as a tie. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.
Capabilities
Feature-by-feature on the axes that matter for search engines. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Manticore Search
An open-source database that combines full-text, semantic vector, hybrid, and conversational search capabilities, deployable on your own servers and queryable via SQL or HTTP APIs.
Quickwit
Distributed search engine optimized to run on cloud object storage, providing fast query performance for observability use cases including logs and traces.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- Kafka
Manticore Search
- Logstash
- Beats
- Kibana
- GitHub
- OpenSearch Dashboards
Quickwit
- AWS Lambda
- AWS S3
- Google Cloud Storage
- SQS
- Elasticsearch
- Jaeger
- Trino
- OTLP
- Kinesis
- Pulsar
- OpenSearch
- OpenTelemetry
- Vector
- Fluent Bit
- Grafana
- Amazon S3
- Azure Blob Storage
- MinIO
- Ceph
- ClickHouse
- Syslog
Manticore Search or Quickwit: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.