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Hosted search-as-a-service platform delivering real-time, full-text search for apps and websites
Open-Source Projects
Discover top open-source software, updated regularly with real-world adoption signals.
Discover top open-source software, updated regularly with real-world adoption signals.
Lightweight full-text search engine, drop-in Elasticsearch alternative
ZincSearch delivers full‑text indexing with a single binary, minimal resources, Elasticsearch‑compatible APIs, built‑in UI, and schema‑less operation—ready in minutes.
ZincSearch is a Go‑based full‑text search engine designed as a lightweight drop‑in replacement for Elasticsearch. It runs from a single binary, supports multiple platforms, and can be up and running in minutes with minimal configuration.
The engine provides schema‑less indexing, on‑disk storage, aggregation support, and out‑of‑the‑box authentication. It implements Elasticsearch’s ingest and search APIs, allowing existing clients to interact without code changes, while a built‑in Vue UI offers query editing and result visualization.
Installation is as simple as downloading the appropriate binary and starting the service. Because it consumes a fraction of the resources required by Elasticsearch, it fits well on modest servers or containers. Production‑grade deployments are already in use across hundreds of installations, making ZincSearch a pragmatic choice for developers who need fast app‑search without the operational overhead of a full‑scale Elasticsearch cluster.
When teams consider ZincSearch, these hosted platforms usually appear on the same shortlist.
Hosted search-as-a-service platform delivering real-time, full-text search for apps and websites
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Yes, it supports the same ingest and search REST APIs, so most Elasticsearch clients work without modification.
Pre‑compiled binaries are provided for Linux, macOS, and Windows.
ZincSearch includes built‑in user management with username/password and can be extended via external auth providers.
Official Docker images are available, enabling easy deployment in Kubernetes or Docker environments.
High‑availability clustering is not built in; deployments are single‑node unless external replication is added.
Project at a glance
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