Percona Backup for MongoDB
percona.comPercona Server for MongoDB is a no-cost, open-source drop-in substitute for MongoDB Community Edition that retains all Community Edition capabilities while adding Percona’s enterprise-grade enhancements. Based on MongoDB Community Edition, it delivers a flexible data model, native high availability, straightforward scalability, and syntax designed for developers. The platform also offers an in-memory storage engine, hot backup functionality, LDAP-based authentication, database auditing features, and log redaction to support secure and reliable operations often required in Data Recovery Software scenarios.
Percona Backup for MongoDB targets users seeking a fully supported community backup utility without adopting MongoDB Enterprise or Ops Manager. Through its command-line interface, it enables consistent backup and restore of clusters and non-sharded replica sets, helping maintain and improve cluster backup consistency, particularly for teams implementing MongoDB backups for the first time. Percona additionally provides enterprise-class software, support, consulting, managed services, and training for open source databases deployed on-premise or in the cloud, and operates on a model focused on scalable, secure, efficient, and resilient database software without high fees or vendor lock-in, supported by a global expert network serving thousands of clients.
LLM mention score The LLM mention score is the total number of mentions of this brand in different LLM chatbots, normalized to the scale from 0 to 100. You can get actual, non-normalized numbers via the LLM Mention API from DataForSEO.
Normalized 0–100 · last 8 weeks
Get LLM mention data of any company via DataForSEO API
Get access to the structured data on keyword, brand, and website mentions in LLMs, including metrics like AI search volume, impressions, and mentions count.
How to get LLM mention data →// Fetch Percona Backup for MongoDB mention score POST /v3/content_analysis/summary { "keyword": "Percona Backup for MongoDB", "type": "llm_mentions", "date_from": "2025-01-01" }