Presenting Easysearch: A Scientific, Cost‑Effective Elasticsearch Alternative for Tender Projects

Easysearch is a distributed search‑oriented database independently developed by INFINI Labs as a domestic alternative to Elasticsearch. It is built on the open‑source Elasticsearch 7.10.2 codebase and has been deeply optimized for Chinese environments. (Reference [1]) Elasticsearch 7.10.2 is a milestone version, and OpenSearch is also derived from it (Reference [2]).

Core compatibility : Easysearch fully supports Elasticsearch’s native Query DSL and SQL syntax, retains the original index storage format, and works with mainstream SDKs such as Java, Python, and Go. It provides snapshot‑restore and visual migration tools that enable seamless migration from Elasticsearch with zero code changes, reducing system switching costs.

POST /tender_index/_search
{
  "query": {
    "match": {
      "content": "新能源项目"
    }
  }
}

Optimized Chinese processing : The product includes a high‑performance Chinese tokenizer that supports pinyin search, synonym expansion, and fuzzy queries, markedly improving retrieval accuracy for tender documents such as announcements and contract clauses. It can handle complex semantic analysis, e.g., matching “新能源” with the synonym “绿色能源”.

Performance and lightweight design : Through index compression and memory‑management optimizations, Easysearch reduces disk space consumption by about 40 % (Reference [4]) while accelerating query response times, making it suitable for high‑concurrency scenarios. The installation package is under 50 MB, allowing simple deployment on modest hardware.

Enterprise‑grade security : Built‑in TLS and disk encryption, LDAP/AD authentication, and field‑level permission control protect sensitive data such as bid prices and supplier information. Data masking and audit capabilities ensure compliance with the Chinese Data Security Law.

Trust‑platform (信创) compliance : Easysearch fully adapts to domestic CPUs (e.g., FeiTeng, Kunpeng) and operating systems (e.g., Kylin, TongXin) and has obtained relevant certifications, aligning with national autonomous‑control strategies. It supports CDC‑based cluster replication and dual‑write techniques for cross‑version disaster‑recovery, guaranteeing high availability (Reference [5]).

Key advantages :

Seamless migration with snapshot restore and zero‑downtime operation, lowering implementation risk.

Lower total cost of ownership compared with commercial Elasticsearch versions, thanks to reduced licensing fees and resource consumption.

Local technical support, documentation, and community services from INFINI Labs, addressing the service‑support gap left by Elastic’s market exit in China.

Full compliance with trust‑platform and data‑security regulations, giving a decisive edge in government, state‑owned, and central‑enterprise projects.

Application scenarios in the tender stage :

1. Fast full‑text search : Enables millisecond‑level retrieval of massive tender documents, supporting Chinese tokenization and fuzzy queries. Example query for “智慧城市” demonstrates rapid keyword search.

POST /tender_index/_search
{
  "query": {
    "bool": {
      "must": [
        { "match": { "title": "智慧城市" } },
        { "range": { "budget": { "gte": 1000000 } } }
      ]
    }
  }
}

2. Data analysis and decision support : Powerful aggregation and SQL interfaces allow generation of statistical reports on historical bids, aiding success‑rate evaluation and supplier distribution analysis.

3. Data security and compliance : Field‑level permission control and data masking protect sensitive bid information, while built‑in audit trails satisfy legal requirements.

4. High concurrency and stability : Distributed architecture and optimized memory management ensure stable operation under heavy load; CDC‑based disaster‑recovery guarantees data integrity.

Conclusion : As an Elasticsearch‑compatible, Chinese‑optimized, lightweight, and secure search solution, Easysearch offers a scientifically justified, cost‑effective, and compliant option for tender projects, enhancing enterprise responsiveness and competitive advantage.