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NeverBlink

AI AppsAI SQL & Database ToolsDevOps Engineers#220Free to start · Elasticsearch, OpenSearch, ClickHouse, PostgreSQL

NeverBlink is an AI-native platform for database resilience and cost optimization, covering Elasticsearch, OpenSearch, and ClickHouse today, with PostgreSQL support listed as coming soon. It continuously analyzes clusters to find what to tune, fix, or right-size, backed by expert support, and is built by BigData Boutique for teams running self-managed or cloud database clusters.

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NeverBlink, built by BigData Boutique, calls itself an AI DBA platform for database resilience and optimization. It targets teams running Elasticsearch, OpenSearch, or ClickHouse clusters (with PostgreSQL support listed as coming soon) who want ongoing tuning and troubleshooting without hiring a dedicated database team.

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The platform continuously analyzes cluster health and produces actionable recommendations, building on the company's background in database consulting. It covers cost optimization (reducing cluster spend without hurting performance), observability (metrics, logs, and query insights with AI analysis layered on top), automated root-cause analysis when alerts trigger, and a single-pane view across all of a customer's clusters. Customers quoted on the site, including HoneyBook, BigPanda, LinearB, and Tastewise, describe using it to cut cloud costs, speed up dashboard queries, and reduce the time spent diagnosing slow or unstable clusters.

NeverBlink is backed by senior engineers available around the clock, and higher plans add expert support directly rather than only automated recommendations. It also exposes an MCP server so a customer's own AI tools and automations can query NeverBlink's insights. A published case study describes a global research publisher managing 11 self-hosted Elasticsearch clusters that adopted NeverBlink for proactive health assessments, 24/7 expert guidance, and centralized visibility after outgrowing fragmented in-house monitoring. Separately, NeverBlink also maintains DataKube, a free open-source web UI project for managing and operating databases running on Kubernetes.

NeverBlink publishes five tiers, billed per cluster per month unless noted: Free (always free for startups and founders, includes health reports and up to five recommendations), Essentials at $29 per cluster per month (platform access without automation), Agentic at $99 per cluster per month (adds AI-powered automation, task creation from recommendations, and automated root-cause analysis), Premium (custom quote, adds expert support and cost optimization), and Enterprise (custom quote, 24/7 support with an SLA and proactive monitoring by BigData Boutique's engineers).

  • CategoryAI SQL & Database Tools
  • Pricing ModelFree to start
  • DeploymentCloud
  • PlatformsElasticsearch, OpenSearch, ClickHouse, PostgreSQL

  • Continuously analyzes Elasticsearch, OpenSearch, and ClickHouse clusters for tuning opportunities

  • Produces actionable, ranked recommendations for cost and performance

  • Automates root-cause analysis when a monitoring alert fires

  • Provides a single-pane view across all of a customer's database clusters

  • Layers AI analysis on top of metrics, logs, and query data for observability

  • Backed by senior database engineers available 24/7 on higher plans

  • Exposes an MCP server so a customer's own AI tools can query its insights

  • Lists PostgreSQL support as coming soon alongside its current Elasticsearch, OpenSearch, and ClickHouse coverage

  1. Connect a cluster: Point NeverBlink at an Elasticsearch, OpenSearch, or ClickHouse cluster.

  2. Review health reports: Get an automated health check and a first set of recommendations.

  3. Act on recommendations: Apply suggested tuning changes or turn them into tickets on a paid plan.

  4. Enable automation: Move to the Agentic tier for AI-powered automation and root-cause analysis.

  5. Add expert support: Upgrade to Premium or Enterprise for direct engineer support and an SLA.

  • Elasticsearch cost reduction
  • ClickHouse query tuning
  • Incident root-cause analysis
  • Self-managed cluster oversight

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