Agentic Index
Dataiku vs ThoughtSpot (2026)
Dataiku last verified ·ThoughtSpot last verified
Dataiku and ThoughtSpot both let enterprises govern AI over their data, from different starting points. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Dataiku comes from data science and machine learning, so agents are built and governed beside the pipelines and models a data team already runs, with long term memory, per tool human approval, agent evaluation and scenario triggers. A Free Edition and a 14 day cloud trial come before paid editions through sales. ThoughtSpot comes from self service analytics. Spotter agents answer over a governed semantic layer and build semantic models, dashboards and embed code, and AgentSpot builds agent teams that act in business apps, with Analytics Essentials from $25 per user a month billed annually. Choose Dataiku to build agents alongside your data science work, and ThoughtSpot for governed answers across the business.
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Dataiku and ThoughtSpot are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Dataiku if
- Your data team already builds pipelines and models, and agents should sit beside them.
- Agents need long term memory and evaluation before release.
- A Free Edition and a 14 day cloud trial let you start without a contract.
Choose ThoughtSpot if
- Business users should get governed answers in plain language.
- Published per user prices let you budget before a sales call.
- You will embed analytics in your own product.
| Feature | D Dataiku |
T ThoughtSpot |
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| Action & orchestration | ||
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Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
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DataikuIntegrations & Tool Calling Agents call managed tools, API endpoints, OpenAPI specs, local and remote MCP servers, Knowledge Bank search, LLM Mesh queries, web search, inline code and plugin tools, over connections secured per group. Sourcedoc.dataiku.com/dss/latest/agents/index.htmlread 2026-09-27 |
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ThoughtSpotIntegrations & Tool Calling AgentSpot agents act inside the tools teams already use, such as Salesforce, Slack, Asana and Jira, for example routing work through Slack and creating Asana tasks, across CRM, HCM and ERP systems. The connector list runs past 60 systems, including Google Workspace, Microsoft 365, Notion, Snowflake, HubSpot, Zoho, Gong, Stripe, Rippling, Gusto, Zendesk, ServiceNow, GitHub, PagerDuty, Linear, Airtable and Zapier. On the analytics side, every plan includes prebuilt data connectors, Essentials lists live connections to Snowflake, Databricks and Redshift, and Pro adds MCP connectors that bring business context to Spotter. SourceThoughtSpot, thoughtspot.com/agentspot and /pricingread 2026-10-05 |
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Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
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DataikuWorkflow Orchestration Structured visual agents define sequences with routing, delegation to other agents, parallel and for each branches, agentic loops and reflection blocks, alongside code agents and external agents from Snowflake Cortex, Databricks, AWS Bedrock and Google Vertex AI; Agent Hub can orchestrate a query across several agents. Sourcedoc.dataiku.com/dss/latest/agents/structured-visual-agents/index.htmlread 2026-09-27 |
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ThoughtSpotWorkflow Orchestration In AgentSpot a team describes the work and the platform assembles a team of agents with their tools, steps, logic and handoffs, and the team defines how those agents work together. Each agent is assembled from a plain language description, without code or templates, and carries out multistep actions across the systems the business runs on. AgentSpot has a free plan with 25 credits a week and a Fleet plan at $1,650 a month with 250 credits a week. Inside the analytics platform, SpotterViz plans a story, generates the answers it needs and builds a complete Liveboard, from structure to layout and styling. SourceThoughtSpot, thoughtspot.com/agentspot and /product/agents; thoughtspot.com/blog/introducing-agentspotread 2026-10-05 |
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Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
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DataikuTriggers & Channel Coverage Agents run inside automation scenarios, which start on time based, dataset change, SQL query change, scenario completion or Python triggers without a person, and users reach agents in Slack (DM or mention), Microsoft Teams, Agent Hub, Agent Chat and through APIs. Sourcedoc.dataiku.com/dss/latest/scenarios/index.htmlread 2026-09-27 |
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ThoughtSpotTriggers & Channel Coverage AgentSpot runs workflows on a recurring schedule and on events, so agents act without a person starting each run; Spotter is also reachable embedded in Salesforce, ServiceNow, Slack and mobile. Examples include a weekly pipeline digest sent every Monday and an onboarding run that starts on each new hire's start date. Every analytics plan from Essentials up includes automated KPI monitoring and anomaly alerts, along with mobile apps for iOS and Android. SourceThoughtSpot, thoughtspot.com/agentspot and /pricingread 2026-10-05 |
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| Knowledge & context | ||
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Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
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DataikuKnowledge Grounding & RAG Knowledge Banks embed datasets and documents into vector stores that agents search through a Knowledge Bank Search tool with static, dynamic and agent inferred filters and document level security, with GraphRAG and automated RAG optimization also documented. Sourcedoc.dataiku.com/dss/latest/agents/tools/knowledge-bank-search.htmlread 2026-09-27 |
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ThoughtSpotKnowledge Grounding & RAG Spotter's answers are grounded in verified business definitions in ThoughtSpot's semantic layer, which SpotterModel builds from raw data into governed semantic models. SpotterModel works from natural language rather than hand written SQL, and Spotter can work across structured and unstructured data, with Python and forecasting for deeper analysis. Pro plans list a semantic layer built for agents, and ThoughtSpot ties its answers to a patented search token architecture built for transparency. SourceThoughtSpot, thoughtspot.com/product/agents and /pricingread 2026-10-05 |
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Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
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DataikuMemory & State Persistence Long term memory blocks store facts, such as preferences, and episodes from past conversations in memory banks, kept separately per user, shared by agents in a project through a default bank or split into named banks, and retrieved by LLM filtering and semantic search in later conversations. No retention period or delete path is stated. Sourcedoc.dataiku.com/dss/latest/agents/structured-visual-agents/blocks/long-term-memory.htmlread 2026-09-27 |
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ThoughtSpotMemory & State Persistence AgentSpot describes memory that compounds, with each action drawing on past decisions, preferences and domain knowledge, but what is kept, for how long and how it is reviewed or deleted is not stated. The same page says agents learn and adapt from each interaction. SourceThoughtSpot, thoughtspot.com/agentspotread 2026-10-05 |
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| Control & trust | ||
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Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
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DataikuHuman Oversight & Guardrails Human approval set on a tool makes a visual agent pause before calling it and ask the user to confirm, optionally letting the person reviewing edit the tool inputs (not inside For Each, Parallel or Reflection sub sequences), and guardrails cover PII, prompt injection, toxicity, topic boundaries and bias. Sourcedoc.dataiku.com/dss/latest/agents/tools/human-approval.htmlread 2026-09-27 |
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ThoughtSpotHuman Oversight & Guardrails The data team reviews and approves the semantic models SpotterModel generates before they are put to use, while the agent does the rest of the modeling work. SpotterModel maps relationships, dimensions and measures with a person validating the result. In AgentSpot, fine grained permissions set what each person can see and do, and no approval step before an agent acts is described. SourceThoughtSpot, thoughtspot.com/product/agents and /agentspotread 2026-10-05 |
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Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
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DataikuSecurity, Identity & Governance Dataiku offers SSO through SAML, OIDC, LDAP and Kerberos, MFA, user profiles, per project group and user permissions, connection security, user secrets and an audit trail. Its trust page lists ISO 27001:2022, ISO 27701, ISO 42001 and ISO 9001 certification, SOC 1 and SOC 2 Type II for Dataiku Cloud, and a HIPAA report. Sourcedataiku.com/legal/trustread 2026-09-27 |
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ThoughtSpotSecurity, Identity & Governance ThoughtSpot holds SOC 1, SOC 2, SOC 3, ISO 27001 and CSA STAR Level 1, and supports SAML and OIDC SSO, role based access and row and column level security. Data is encrypted with TLS in transit and AES 256 at rest, with keys held in a key management system, and multifactor authentication is supported. Login and activity logs are secured and monitored for anomalies. Row level security and encryption come with every analytics plan from Essentials, while SSO over SAML, OAuth or OIDC, unlimited permission groups and advanced data encryption are Enterprise features. AgentSpot adds single sign on and role based access with strict data isolation. SourceThoughtSpot, thoughtspot.com/trust/security, /pricing and /agentspotread 2026-10-05 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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DataikuObservability & Auditability Every LLM Mesh call returns a nested trace of the agent's LLM calls, guardrail steps, inputs, outputs, tokens and cost, viewed in the Trace Explorer (tree, timeline and explorer views), and the evaluation trajectory explorer replays tool calls in order; an audit trail records user actions. Sourcedoc.dataiku.com/dss/latest/agents/tracing.htmlread 2026-09-27 |
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ThoughtSpotObservability & Auditability AgentSpot logs every request, tool call and model interaction, and Spotter reasons through each step and shows it, so both the answer and the actions behind it can be traced. Across the platform, user login and activity logs are kept, secured and monitored for anomalies. SourceThoughtSpot, thoughtspot.com/agentspot and /trust/securityread 2026-10-05 |
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Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
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DataikuDeployment & Data Residency Dataiku runs as fully managed Dataiku Cloud or is installed on the customer's own infrastructure (Linux, macOS, experimental Windows) with hybrid options through sales, with installation, cloud and container deployment guides; locally running Hugging Face models keep inference in house. Sourcedataiku.com/product/get-startedread 2026-09-27 |
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ThoughtSpotDeployment & Data Residency Customers choose the data residency region for their ThoughtSpot environment based on compliance needs, with options across AWS, GCP and Azure. Embedded Enterprise customers can add VPN and VPC deployment options. Enterprise editions of both the analytics and embedded platforms support custom domains and multi tenant setups organized by customer organization. SourceThoughtSpot, thoughtspot.com/trust/security and /pricingread 2026-10-05 |
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| Solution readiness | ||
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Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
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DataikuPrebuilt Agents, Templates & Packs Dataiku Solutions include named GenAI and agent solutions for separate jobs, Dynamic Selling Assistant, Supplier Management Assistant, Clinical Trial Intelligence Assistant, Medical Entity Extraction Assistant and Agentic Insights; Agent Hub distributes an organization's own governed agents and prompt library. Sourceknowledge.dataiku.com/latest/solutions/index.htmlread 2026-09-27 |
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ThoughtSpotPrebuilt Agents, Templates & Packs ThoughtSpot ships four named, ready made agents: Spotter for analytical questions, SpotterModel for semantic modeling, SpotterViz for dashboards and SpotterCode for coding in IDEs. SpotterCode turns a short prompt into the code patterns, components and embed logic a developer needs. On the analytics plans, Pro includes all four agents with 25 Spotter queries a month per user, and Enterprise makes them unlimited, while the free Developer plan for embedding includes the same core agents. AgentSpot publishes example agents such as New-Hire Onboarding Runner, Hiring Pipeline Digest and Interview Feedback Chaser. SourceThoughtSpot, thoughtspot.com/product/agents, /pricing and /agentspotread 2026-10-05 |
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| Platform extensibility | ||
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Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
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DataikuModel Flexibility & Routing Administrators define LLM Mesh connections to OpenAI, Azure OpenAI, Anthropic, AWS Bedrock and SageMaker, Microsoft Foundry, Google Vertex, Mistral, Cohere, NVIDIA NIM, Snowflake Cortex, Databricks foundation model APIs and locally running Hugging Face models, and agents pick from them, with cost control and rate limiting documented. Sourcedoc.dataiku.com/dss/latest/generative-ai/llm-connections.htmlread 2026-09-27 |
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ThoughtSpotModel Flexibility & Routing Spotter works with GPT series models, Google Gemini, Snowflake Cortex and Claude, and the Spotter deployment docs include a Connect to your Large Language Model page for a customer's own LLM. Flexible LLM selection is listed as an Enterprise analytics feature. ThoughtSpot does not meter or charge for LLM tokens, so model use is covered by the subscription, and Pro includes unlimited tokens under platform governance. SourceThoughtSpot, thoughtspot.com/product/agents and /pricingread 2026-10-05 |
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APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
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DataikuAPIs, SDKs & MCP Extensibility Agents are exposed as A2A servers at a per agent public API endpoint with well known URI discovery and bearer API key auth, in JSON-RPC and SSE modes, beside a documented MCP server, the public REST API, the Python API and LangChain integration on developer.dataiku.com, and a plugin system. Sourcedoc.dataiku.com/dss/latest/agents/a2a.htmlread 2026-09-27 |
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ThoughtSpotAPIs, SDKs & MCP Extensibility The documented Spotter MCP Server at agent.thoughtspot.app, with OAuth or bearer token authentication and date based versions, lets Claude, ChatGPT, Gemini or custom clients run natural language queries, create Liveboards and visualizations and search content; it is an add on for Enterprise and Embedded plans, beside ThoughtSpot's REST API and embed SDK. OAuth suits ready made clients and bearer tokens suit custom applications. The Spotter 3 version of the server adds advanced analytics, reasoning, forecasting and automatic selection of the data source. The free Developer plan gives up to 10 users a year of the REST embed API, the Visual Embed SDK and custom styles, themes and actions. SourceThoughtSpot, developers.thoughtspot.com MCP integration docs and thoughtspot.com/pricingread 2026-10-05 |
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Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
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DataikuTesting, Debugging & Optimization The Evaluate Agent recipe scores answers and the path taken, with ordered and unordered tool call checks, RAGAS based LLM judges, BERTScore and custom metrics, stores results for side by side version comparison, and Agent Review lets builders and SMEs run test cases against an agent version with human verdicts overriding the judge. Sourcedoc.dataiku.com/dss/latest/agents/evaluation.htmlread 2026-09-27 |
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ThoughtSpotTesting, Debugging & Optimization Spotter checks its own work and refines the result at run time; no test set, accuracy scoring or regression check for agents is described. Semantic models from SpotterModel are validated by people before they go into use. SourceThoughtSpot, thoughtspot.com/product/agentsread 2026-10-05 |
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| Specialist automation | ||
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Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
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DataikuBrowser & Computer Use The agent tool list covers APIs, MCP, knowledge search, code and an LLM side web search tool, with no browser or computer use tool documented. Sourcedoc.dataiku.com/dss/latest/agents/index.htmlread 2026-09-27 |
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ThoughtSpotBrowser & Computer Use No browser or desktop operation by Spotter or AgentSpot agents is described; they act through data connections and integrations. Reach into tools such as Figma, Miro, Canva and Zoom comes through the AgentSpot integration list. SourceThoughtSpot, thoughtspot.com/agentspotread 2026-10-05 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | D Dataiku |
T ThoughtSpot |
|---|---|---|
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Entry price Lowest public entry point |
Free Edition and a 14 day cloud trial. Paid editions are quoted by sales. | Analytics Essentials $25 and Pro $50 per user per month, billed annually. Enterprise is custom. Embedded Developer is free for a year, and AgentSpot has a Free plan and Fleet at $1,650 per month billed annually. |
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Pricing confidence How public the numbers are |
Public, partial | Public, exact |
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Billing Primary billing axis |
Paid editions are priced by number of users and by the platform capabilities enabled. | Analytics is priced per user per month by plan, billed annually. Embedded plans are priced by deployment, and AgentSpot by plan with weekly run credits. |
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Variable cost Workload / overage exposure |
Medium variable cost | Medium variable cost |
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Free tier / trial Try before you buy |
Free tierTrial
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Free tierTrial
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Buying motion Self-serve vs sales call |
Sales call | Sales call |
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Pricing verified When this pricing was last checked |
Product updates
Newest first, each linked to its source.
Dataiku
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· MCP / tool calling / API
Headless is a new plugin and MCP server that lets coding agents such as Claude Code, Codex and Cursor create and change Dataiku projects, including pipelines, models, dashboards and agents, by handing the build to Cobuild.
Source -
· Human approval / guardrails
DSS 15.1.0 adds a Plan mode to Cobuild, Dataiku's natural language build agent, which proposes a set of high level tasks that users review and refine before the build starts.
Source -
· Integrations
Dataiku launched Cobuild on Snowflake, which combines Snowflake Cortex AI's model access with Dataiku's orchestration layer so users can build and validate AI workflows and agents in plain language.
Source
ThoughtSpot
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· Agent capability
AgentSpot is a new ThoughtSpot workspace where anyone describes a job in plain language and gets an agent, a workflow that runs on a schedule or trigger, or an interactive app, all built on ThoughtSpot's semantic layer.
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· Agent capability
Spotter, ThoughtSpot's analytics agent, now recognizes when a question can be answered without deeper reasoning and takes a shorter route, while questions that need deeper analysis stay on the standard path automatically.
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· Security / enterprise
ThoughtSpot released version 26.8.0.cl, featuring a redesigned Admin Portal with an upgraded configuration UI and instant auto-save.
Source
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