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ZincSearch project preview
Developer ToolsAlternative to ElasticsearchAlternative to AlgoliaAlternative to Splunk

ZincSearch

Lightweight alternative to Elasticsearch that runs on low memory with fast indexing.

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LicenseApache-2.0
GitHub stars16.5k
Last commit6 days ago
Tags5 topics
Zincsearch ServerElasticsearch AlternativeLightweight Search EngineDevopsLow Memory Indexing
Overview

Why consider ZincSearch?

ZincSearch is an open-source search engine written in Go by Prabhat Sharma (zinclabs). ZincSearch provides Elasticsearch-compatible APIs, full-text searching, and log aggregation while consuming a fraction of the RAM memory by storing compressed columnar data in S3 or local disks.

Guided learning

Learn ZincSearch by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of ZincSearch

ZincSearch indexes enterprise log files and documentation with minimal memory consumption.

Docker Quickstart

bash
1docker run -d -p 4080:4080 -e ZINC_FIRST_ADMIN_USER=admin -e ZINC_FIRST_ADMIN_PASSWORD=password public.ecr.aws/zinclabs/zincsearch:latest

ZincSearch is licensed under the Apache License Version 2.0.

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ZincSearch FAQs

ZincSearch is listed as a Developer Tools tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

ZincSearch is listed under the Apache-2.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

ZincSearch is listed as an alternative to Elasticsearch. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.