{"id":"yandex-clickhouse-server","name":"clickhouse-server","homepage":"https://hub.docker.com/r/yandex/clickhouse-server","repo_url":"https://hub.docker.com/r/yandex/clickhouse-server","category":"databases","subcategories":[],"tags":["databases","olap","analytics","sql","columnar","distributed-systems"],"what_it_does":"ClickHouse Server is a high-performance columnar database server for analytical workloads, providing SQL query processing, distributed storage/replication features, and support for streaming/ingesting data at scale.","use_cases":["Real-time analytics and event/metrics querying","Large-scale OLAP workloads and aggregations","Data warehouse workloads with high concurrency","Time-series analytics and monitoring dashboards","Distributed analytics across multiple nodes"],"not_for":["Latency-sensitive OLTP workloads with highly transactional semantics","Use cases requiring a REST/GraphQL/hosted SaaS API surface out of the box","Environments where operating a database server is not feasible"],"best_when":"You need fast analytical SQL over large datasets (often time-series/event data), and you can operate and secure database infrastructure.","avoid_when":"You need a simple plug-and-play HTTP API service with minimal operational overhead, or you require strict transactional consistency typical of OLTP systems.","alternatives":["PostgreSQL (for general-purpose workloads)","MySQL (for OLTP-focused workloads)","Apache Druid","Apache Pinot","Amazon Redshift / Google BigQuery / Snowflake (managed warehouses)","Apache Spark (compute layer; not a replacement for OLAP storage in most cases)"],"af_score":33.8,"security_score":56.0,"reliability_score":31.2,"package_type":"mcp_server","discovery_source":["docker_mcp"],"priority":"high","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-03-30T13:28:33.150757+00:00","interface":{"has_rest_api":false,"has_graphql":false,"has_grpc":false,"has_mcp_server":false,"mcp_server_url":null,"has_sdk":false,"sdk_languages":[],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":["User accounts and credentials configured on the server (e.g., via ClickHouse user configuration)","Network-level controls (firewall/VPC) as part of access control"],"oauth":false,"scopes":false,"notes":"ClickHouse uses server-side user authentication/authorization configured in its admin config; the exact mechanisms and granularity depend on configuration (and may include settings for users/roles)."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"Open-source/server software is typically self-hosted; costs depend on infrastructure and operational effort."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":33.8,"security_score":56.0,"reliability_score":31.2,"mcp_server_quality":0.0,"documentation_accuracy":35.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":50.0,"rate_limit_clarity":20.0,"tls_enforcement":60.0,"auth_strength":60.0,"scope_granularity":50.0,"dependency_hygiene":60.0,"secret_handling":50.0,"security_notes":"As a self-hosted database, security depends heavily on server configuration: TLS availability/enforcement, authentication/authorization for users, and restricting network access. Agents should avoid embedding credentials in prompts/logs and should use least-privilege accounts where possible.","uptime_documented":0.0,"version_stability":55.0,"breaking_changes_history":40.0,"error_recovery":30.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["Agents must construct safe SQL; query correctness and performance tuning (indexes/partitions) are critical.","Operational prerequisites (users/roles, network exposure, and secure configuration) are required before an agent can reliably query.","Long-running queries and resource limits can cause timeouts; agents need to handle query failures and cancellations appropriately."]}}