Lokad vs VictoriaMetrics

Lokad is a supply chain decision platform that uses predictive analytics and optimization to guide purchasing, allocation, pricing and prioritization. Its probabilistic forecasts represent possible future scenarios, and it links recommendations to financial impact and business objectives. Lokad automates routine calculations such as reorder quantities, multi-echelon allocations, lead-time adjustments and repair schedules. Users can build decision-generating applications in Envision, Lokad’s supply-chain-focused programming language. The recommended data exchange is file transfer by FTPS or SFTP, with options to push or pull files; native integrations with third-party apps are being phased out. Lokad serves industries including retail, aerospace, automotive, fashion, oil and gas, and manufacturing. The platform runs on the web, and a managed subscription typically includes end-to-end support from one or more Supply Chain Scientists. Pricing is on request. A free trial can be requested by email, and the reduced Envision Playground is available without registration. Lokad was founded in Paris in 2008.

VictoriaMetrics is a time-series database and monitoring solution for collecting, querying, and retaining metrics. Its observability stack also covers logs and traces, with open-source, enterprise, and managed cloud offerings. The open-source single-node and cluster versions cost nothing. VictoriaMetrics Cloud is fully managed, with operations, automated backups, software updates, and dedicated resources; its page advertises a free 30-day trial. Cloud plans start at $200 a month for VictoriaMetrics and $200 a month for VictoriaLogs, with capacity tiers, deployment limits, and hourly usage metering. The platform supports Prometheus-compatible scraping and PromQL-compatible workflows, as well as MetricsQL. Listed ingestion options include InfluxDB line protocol, Graphite, OpenTSDB, RemoteWrite, DataDog, NewRelic, OpenTelemetry, and others. Deployment options include on-premises, hybrid, and cloud. Security features include TLS/HTTPS, JWT, LDAP, SSO, identity-provider integration, and mTLS between cluster components. Enterprise support includes technical help and guidance; community users have open-source community support options.