Best Business Analytics Tools

Compare 16 top-rated business analytics tools. Find features, pricing, pros, cons, and alternatives.

🏆 Top Tools in This Category

Braintrust

🔴Developer

AI observability platform with Loop agent that automatically generates better prompts, scorers, and datasets to optimize LLM applications in production.

Pricing availableView Details →

Datadog LLM Observability

MCP
MCP Server
🟡Low Code

Enterprise-grade monitoring for AI agents and LLM applications built on Datadog's infrastructure platform. Provides end-to-end tracing, cost tracking, quality evaluations, and security detection across multi-agent workflows.

usage-basedView Details →

Arize Phoenix

🔴Developer

Open-source LLM observability and evaluation platform built on OpenTelemetry. Self-host it free with no feature gates, or use Arize's managed cloud.

Pricing availableView Details →

Helicone

🔴Developer

API gateway and observability layer for LLM usage analytics. This analytics & monitoring provides comprehensive solutions for businesses looking to optimize their operations.

Free + PaidView Details →

Humanloop

🟡Low Code

LLMOps platform for prompt engineering, evaluation, and optimization with collaborative workflows for AI product development teams.

Freemium + TeamsView Details →

Laminar (LMNR)

MCP
MCP Server/Client
🔴Developer

Open-source observability platform for AI agents and LLM applications with tracing, evaluation, and dataset management.

Freemium with Enterprise PlansView Details →

Langfuse

🔴Developer

Open-source LLM engineering platform for traces, prompts, and metrics.

Open-source + CloudView Details →

LangSmith

MCP
MCP Server
🔴Developer

Tracing, evaluation, and observability for LLM apps and agents.

[object Object]View Details →

Langtrace

MCP
MCP Server/Client
🔴Developer

Open-source observability platform for LLM applications and AI agents with OpenTelemetry-based tracing, cost tracking, and performance analytics.

[object Object]View Details →

LangWatch

MCP
MCP Server/Client
🔴Developer

LLM observability and analytics platform for monitoring AI agent quality, costs, and user experience with real-time dashboards and automated guardrails.

[object Object]View Details →

Analytics & Monitoring tools

Arize Phoenix

🔴Developer

Open-source LLM observability and evaluation platform built on OpenTelemetry. Self-host it free with no feature gates, or use Arize's managed cloud.

Key Features:

  • Workflow Runtime
  • Tool and API Connectivity
  • State and Context Handling

Braintrust

🔴Developer

AI observability platform with Loop agent that automatically generates better prompts, scorers, and datasets to optimize LLM applications in production.

Key Features:

  • Workflow Runtime
  • Tool and API Connectivity
  • State and Context Handling

Datadog LLM Observability

MCP
MCP Server
🟡Low Code

Enterprise-grade monitoring for AI agents and LLM applications built on Datadog's infrastructure platform. Provides end-to-end tracing, cost tracking, quality evaluations, and security detection across multi-agent workflows.

Key Features:

    usage-based

    Helicone

    🔴Developer

    API gateway and observability layer for LLM usage analytics. This analytics & monitoring provides comprehensive solutions for businesses looking to optimize their operations.

    Key Features:

    • Workflow Runtime
    • Tool and API Connectivity
    • State and Context Handling

    Free + Paid

    Humanloop

    🟡Low Code

    LLMOps platform for prompt engineering, evaluation, and optimization with collaborative workflows for AI product development teams.

    Key Features:

      Freemium + Teams

      🏆 Best Value

      Langfuse

      🔴Developer

      Open-source LLM engineering platform for traces, prompts, and metrics.

      Key Features:

      • Workflow Runtime
      • Tool and API Connectivity
      • State and Context Handling

      Open-source + Cloud

      🏆 Best Monitoring Tool

      LangSmith

      MCP
      MCP Server
      🔴Developer

      Tracing, evaluation, and observability for LLM apps and agents.

      Key Features:

      • Workflow Runtime
      • Tool and API Connectivity
      • State and Context Handling

      [object Object]

      Langtrace

      MCP
      MCP Server/Client
      🔴Developer

      Open-source observability platform for LLM applications and AI agents with OpenTelemetry-based tracing, cost tracking, and performance analytics.

      Key Features:

        [object Object]

        LangWatch

        MCP
        MCP Server/Client
        🔴Developer

        LLM observability and analytics platform for monitoring AI agent quality, costs, and user experience with real-time dashboards and automated guardrails.

        Key Features:

          [object Object]

          Laminar (LMNR)

          MCP
          MCP Server/Client
          🔴Developer

          Open-source observability platform for AI agents and LLM applications with tracing, evaluation, and dataset management.

          Key Features:

            Freemium with Enterprise Plans

            Phoenix by Arize

            MCP
            MCP Server/Client
            🔴Developer

            ML observability platform specialized for LLM applications, providing evaluation, monitoring, and debugging tools for AI agents in production.

            Key Features:

              Open-source + Enterprise

              Portkey AI

              🔴Developer

              AI gateway and observability platform for managing multiple LLM providers with routing, fallbacks, and cost optimization.

              Key Features:

                Freemium + Enterprise

                Sentry AI Monitoring

                MCP
                MCP Server/Client
                🔴Developer

                Application monitoring platform with specialized AI agent error tracking and performance monitoring.

                Key Features:

                  Freemium + Paid Plans

                  Splunk AI Assistant & Observability

                  🟡Low Code

                  AI-powered observability and monitoring platform with natural language querying and AI assistants for debugging agent systems and infrastructure.

                  Key Features:

                    Paid

                    Sprig

                    🟢No Code

                    AI-powered product experience platform that analyzes user behavior, surveys, and session replays to surface actionable insights.

                    Key Features:

                      Freemium

                      Weights & Biases

                      🔴Developer

                      Experiment tracking and model evaluation used in agent development.

                      Key Features:

                      • Workflow Runtime
                      • Tool and API Connectivity
                      • State and Context Handling

                      Free + Paid

                      🤖

                      Which Tools Are Right for You?

                      Take our 60-second quiz to get personalized recommendations from the business analytics category and beyond