Top 10 Ai Tools For Embedded Analytics And Reporting (may 2025)

Embedded analytics refers to integrating interactive dashboards, reports, and AI-driven information insights straight into applications aliases workflows. This attack lets users entree analytics successful discourse without switching to a abstracted BI tool. It’s a quickly increasing marketplace – weighted astir $20 cardinal successful 2024 and projected to scope $75 cardinal by 2032 (18% CAGR).

Organizations are embracing embedded analytics to empower end-users pinch real-time information. These trends are fueled by request for self-service information entree and AI features for illustration natural language queries and automated insights, which make analytics much accessible.

Below we reappraisal apical devices that supply AI-powered embedded analytics and reporting. Each instrumentality includes an overview, cardinal pros and cons, and a breakdown of pricing tiers.

AI Tools for Embedded Analytics and Reporting (Comparison Table)

1. Explo

Explo is an embedded analytics level designed for merchandise and engineering teams to quickly adhd customer-facing dashboards and reports to their apps. It offers a no-code interface for creating interactive charts and supports white-labeled embedding, truthful nan analytics blend into your product’s UI.

Explo focuses connected self-service: end-users tin research information and moreover build advertisement hoc reports without needing developer intervention. A standout characteristic is Explo AI, a generative AI capacity that lets users inquire free-form questions and get backmost applicable charts automatically.

This makes information exploration arsenic easy arsenic typing a query successful earthy language. Explo integrates pinch galore databases and is built to standard from startup usage cases to endeavor deployments (it’s SOC II, GDPR, and HIPAA compliant for security).

Pricing: (Monthly subscriptions – USD)

• Launch – Free: Internal BI usage only; unlimited soul users/dashboards.
• Growth – from $795/month: For embedding successful apps; includes 3 embedded dashboards, 25 customer accounts.
• Pro – from $2,195/month: Advanced embedding; unlimited dashboards, afloat white-label, scales pinch usage.
• Enterprise – Custom: Custom pricing for ample standard deployments; includes privilege support, SSO, civilization features.

Visit Explo →

2. ThoughtSpot

ThoughtSpot is an AI-driven analytics level renowned for its search-based interface. With ThoughtSpot’s embedded analytics, users tin type earthy connection queries (or usage voice) to research information and instantly get ocular answers.

This makes analytics accessible to non-technical users – fundamentally a Google-like acquisition for your business data. ThoughtSpot’s in-memory motor handles ample information volumes, and its AI motor (SpotIQ) automatically finds insights and anomalies.

For embedding, ThoughtSpot provides low-code components and robust REST APIs/SDKs to merge interactive Liveboards (dashboards) aliases moreover conscionable nan hunt barroom into applications. It’s celebrated for customer-facing analytics successful apps wherever end-users request ad-hoc querying ability.

Businesses successful retail, finance, and healthcare usage ThoughtSpot to fto frontline labor and customers inquire information questions connected nan fly. The level emphasizes ease-of-use and accelerated deployment, though it besides offers endeavor features for illustration row-level information and scalability crossed unreality information warehouses.

Pricing: (Tiered, pinch consumption-based licensing – USD)

• Essentials – $1,250/month (billed annually): For larger deployments; accrued information capacity and features.
• ThoughtSpot Pro: Custom quote. Full embedding capabilities for customer-facing apps (up to ~500 cardinal information rows).
• ThoughtSpot Enterprise: Custom quote. Unlimited information standard and endeavor SLA. Includes multi-tenant support, precocious security, etc.

Visit ThoughtSpot →

3. Tableau Embedded Analytics

Tableau (part of Salesforce) is simply a starring BI level known for its powerful visualization and dashboarding capabilities. Tableau Embedded Analytics allows organizations to merge Tableau’s interactive charts and reports into their ain applications aliases websites.

Developers tin embed Tableau dashboards via iFrames aliases utilizing nan JavaScript API, enabling rich | information visuals and filtering in-app. Tableau’s spot lies successful its breadth of out-of-the-box visuals, drag-and-drop easiness for creating dashboards, and a ample personification community.

It besides has introduced AI features – for example, successful 2024 Salesforce announced Tableau Pulse, which uses generative AI to present automated insights and earthy connection summaries to users. This augments embedded dashboards pinch proactive explanations.

Tableau useful pinch a wide scope of information sources and offers unrecorded aliases in-memory information connectivity, ensuring that embedded contented tin show up-to-date info. It’s well-suited for some soul embedded usage (e.g. wrong an endeavor portal) and outer customer-facing analytics, though licensing costs and infrastructure must beryllium planned accordingly.

Pricing: (Subscription per user, pinch role-based tiers – USD)

• Creator – $70 per user/month: Full authoring licence (data prep, dashboard creation). Needed for developers building embedded dashboards.
• Explorer – $35 per user/month: For users who research and edit constricted content. Suitable for soul powerfulness users interacting pinch embedded reports.
• Viewer – $12 per user/month: Read-only entree to position dashboards. For extremity viewers of embedded analytics.

Visit Tableau →

4. Microsoft Power BI Embedded

Microsoft Power BI is simply a widely-used BI suite, and Power BI Embedded refers to nan Azure work and APIs that fto you embed Power BI visuals into civilization applications. This is charismatic for developers building customer-facing analytics, arsenic it combines Power BI’s robust features (interactive reports, AI visuals, earthy connection Q&A, etc.) pinch elastic embedding options.

You tin embed afloat reports aliases individual tiles, power them via REST API, and use row-level information for multi-tenant scenarios. Power BI’s strengths see tight integration pinch nan Microsoft ecosystem (Azure, Office 365), beardown information modeling (via Power BI Desktop), and increasing AI capabilities (e.g. nan Q&A ocular that allows users to inquire questions successful plain English).

Pricing: (Azure capacity-based aliases per-user – USD)

• Power BI Pro – $14/user/month: Enables creating and sharing reports. Required for developers and immoderate soul users of embedded content.
• Power BI Premium Per User – $24/user/month: Enhanced features (AI, larger datasets) connected a per-user basis. Useful if a mini number of users request premium capabilities alternatively of a afloat capacity.
• Power BI Embedded (A SKUs) – From ~$735/month for A1 capacity (3 GB RAM, 1 v-core). Scales up to ~$23,500/month for A6 (100 GB, 32 cores) for high-end needs. Billed hourly via Azure, pinch scale-out options.

Visit Power BI →

5. Looker (Google Cloud BI)

Looker is simply a modern analytics level now portion of Google Cloud. It is known for its unsocial information modeling layer, LookML, which lets information teams specify business metrics and logic centrally.

For embedded analytics, Looker provides a robust solution: you tin embed interactive dashboards aliases exploratory information tables successful applications, leveraging nan aforesaid Looker backend. One of Looker’s halfway strengths is consistency – because of LookML, each users (and embedded views) usage trusted information definitions, avoiding mismatched metrics.

Looker besides excels astatine integrations: it connects natively to unreality databases (BigQuery, Snowflake, etc.), and because it’s successful nan Google ecosystem, it integrates pinch Google Cloud services (permissions, AI/ML via BigQuery, etc.).

Pricing: (Custom quotes via sales; illustration figures)

Visit Looker →

6. Sisense

Sisense is simply a full-stack BI and analytics level pinch a beardown attraction connected embedded analytics usage cases. It enables companies to infuse analytics into their products via elastic APIs aliases web components, and moreover allows building civilization analytic apps.

Sisense is known for its ElastiCube in-chip representation technology, which tin mash up information from aggregate sources and present accelerated capacity for dashboards. In caller years, Sisense has incorporated AI features (e.g. NLQ, automated insights) to enactment competitive.

A cardinal advantage of Sisense is its expertise to beryllium afloat white-labeled and its OEM-friendly licensing, which is why galore SaaS providers take it to powerfulness their in-app analytics. It offers some unreality and on-premises deployment options, catering to different information requirements.

Sisense besides provides a scope of customization options: you tin embed full dashboards aliases individual widgets, and usage their JavaScript room to profoundly customize look and feel. It’s suited for organizations that request an end-to-end solution – from information mentation to visualization – specifically tailored for embedding successful outer applications.

Pricing: (Annual license, quote-based – USD)

• Starter (Self-Hosted) – Starts astir $10,000/year for a mini deployment (few users, basal features). This would typically beryllium an on-prem licence for soul BI aliases constricted OEM use.
• Cloud (SaaS) Starter – ~$21,000/year for ~5 users connected Sisense Cloud (cloud hosting carries ~2× premium complete self-host).
• Growth/Enterprise OEM – Costs standard importantly pinch usage; mid-range deployments often scope $50K-$100K+ per year. Large endeavor deals tin scope respective 100 1000 aliases much if location are very precocious numbers of end-users.

Visit Sisense →

7. Qlik Embedded Analytics

Qlik is simply a long-time leader successful BI, offering Qlik Sense arsenic its modern analytics platform. Qlik’s embedded analytics capabilities let you to merge its associative information motor and rich | visuals into different applications.

Qlik’s differentiator is its Associative Engine: users tin freely research information associations (making selections crossed immoderate fields) and nan motor instantly updates each charts to bespeak those selections, revealing hidden insights.

In an embedded scenario, this intends end-users tin get powerful interactive exploration, not conscionable fixed filtered views. Qlik provides APIs (Capability API, Nebula.js library, etc.) to embed charts aliases moreover build afloat civilization analytics experiences connected apical of its engine. It besides supports modular embed via iframes aliases mashups.

Qlik has incorporated AI arsenic good – nan Insight Advisor tin make insights aliases floor plan suggestions automatically. For developers, Qlik’s level is rather robust: you tin book information transformations successful its load script, usage its information rules for multi-tenant setups, and moreover embed Qlik into mobile apps.

Pricing: (USD)

• Starter – $200 / period (billed annually): Includes 10 users + 25 GB “data for analysis.” No other information add-ons available.
• Standard – $825 / month: Starts pinch 25 GB; bargain much capacity successful 25 GB blocks. Unlimited personification access.
• Premium – $2,750 / month: Starts pinch 50 GB, adds AI/ML, public/anonymous access, larger app sizes (10 GB).
• Enterprise – Custom quote: Begins astatine 250 GB; supports larger app sizes (up to 40 GB), multi-region tenants, expanded AI/automation quotas.

Visit Qlik →

8. Domo

Domo is simply a cloud-first business intelligence platform, and Domo Everywhere is its embedded analytics solution aimed astatine sharing Domo’s dashboards extracurricular nan halfway Domo environment. With Domo Everywhere, companies tin administer interactive dashboards to customers aliases partners via embed codes aliases nationalist links, while still managing everything from nan cardinal Domo instance.

Domo is known for its end-to-end capabilities successful nan unreality – from information integration (500+ connectors, built-in ETL called Magic ETL) to information visualization and moreover a built-in information subject layer.

For embedding, Domo emphasizes easiness of use: non-technical users tin create dashboards successful Domo’s drag-and-drop interface, past simply embed them pinch minimal coding. It besides offers robust governance truthful you tin power what outer viewers see.

Pricing: (Subscription, interaction Domo for quote – USD)

• Basic Embedded Package – astir $3,000 per period for a limited-user, limited-data scenario. This mightiness see a fistful of dashboards and a mean number of outer viewers.
• Mid-size Deployment – astir $20k–$50k per twelvemonth for mid-sized businesses. This would screen much users and data; e.g., a fewer 100 outer users pinch regular usage.
• Enterprise – $100k+/year for large-scale deployments. Enterprises pinch thousands of outer users aliases very precocious information volumes tin expect costs successful six figures. (Domo often structures endeavor deals arsenic unlimited-user but metered by data/query credits.)

Visit Domo →

9. Yellowfin BI

Yellowfin is simply a BI level that has carved a niche successful embedded analytics and information storytelling. It offers a cohesive solution pinch modules for dashboards, information discovery, automated signals (alerts connected changes), and moreover a unsocial Story characteristic for communicative reporting.

For embedding, Yellowfin Embedded Analytics provides OEM partners a elastic licensing exemplary and method capabilities to merge Yellowfin contented into their applications. Yellowfin’s spot lies successful its balanced focus: it’s powerful capable for endeavor BI but besides streamlined for embedding, pinch features for illustration multi-tenant support and white-labeling.

It besides has NLP query (natural connection querying) and AI-driven insights, aligning pinch modern trends. A notable characteristic is Yellowfin’s information storytelling – you tin create slide-show style narratives pinch charts and text, which tin beryllium embedded to springiness end-users contextual analysis, not conscionable earthy dashboards.

Yellowfin is often praised for its collaborative features (annotations, chat threads connected charts) which tin beryllium beneficial successful an embedded discourse wherever you want users to prosecute pinch nan analytics.

Pricing: (Custom – Yellowfin offers elastic models)

Visit Yellowfin →

10. Mode

Mode is simply a level geared towards precocious analysts and information scientists, combining BI pinch notebooks. It’s now portion of ThoughtSpot (acquired successful 2023) but still offered arsenic a standalone solution.

Mode’s entreaty successful an embedded discourse is its flexibility: analysts tin usage SQL, Python, and R successful 1 situation to trade analyses, past people interactive visualizations aliases dashboards that tin beryllium embedded into web apps. This intends if your application’s analytics require dense civilization study aliases statistical work, Mode is well-suited.

It has a modern HTML5 dashboarding strategy and precocious introduced “Visual Explorer” for drag-and-drop charting, positive AI assistance features for query suggestions. Companies often usage Mode to build rich, bespoke analytics for their customers – for example, a package institution mightiness usage Mode to create a analyzable report, and past embed that study successful their merchandise for each customer pinch nan information filtered appropriately.

Mode supports white-label embedding, and you tin power it via their API (to proviso users, tally queries, etc.). It’s celebrated pinch information teams owed to nan seamless workflow from coding to sharing insights.

Pricing: (USD)

• Studio (Free) – $0 everlastingly for up to 3 users. This includes halfway SQL/Python/R analytics, backstage information connections, 10MB query limit, etc. Good for first improvement and testing of embedded ideas.
• Pro (Business) – Starts astir ~$6,000/year (estimated). Mode doesn’t database fixed prices, but third-party sources bespeak pro plans successful nan mid four-figure scope annually for mini teams.
• Enterprise – Custom pricing, typically five-figure annually up to ~$50k for ample orgs. Includes each Pro features positive endeavor information (SSO, precocious permissions), civilization compute for dense workloads, and premium support.

Visit Mode →

How to Choose nan Right Embedded Analytics Tool

Selecting an embedded analytics solution requires balancing your company’s needs pinch each tool’s strengths. Start pinch your usage lawsuit and audience: Consider who will beryllium utilizing nan analytics and their method level. If you’re embedding dashboards for non-technical business users aliases customers, a instrumentality pinch an easy UI could beryllium important. Conversely, if your exertion demands highly civilization analyses aliases you person a beardown information subject team, a much elastic code-first instrumentality mightiness beryllium better.

Also measure whether you request a afloat managed solution (more plug-and-play, e.g. Explo aliases Domo) aliases are consenting to negociate much infrastructure for a perchance much powerful level (e.g. self-hosting Qlik aliases Sisense for complete control). The size of your institution (and engineering resources) will power this trade-off – startups often thin towards turnkey unreality services, while larger enterprises mightiness merge a level into their existing tech stack.

Integration and scalability are captious factors. Look astatine really good nan instrumentality will merge pinch your existent systems and early architecture. Finally, measurement pricing and full costs of ownership against your fund and gross model. Embedded analytics devices alteration from per-user pricing to usage-based and fixed OEM licenses. Map retired a unsmooth projection of costs for 1 twelvemonth and 3 years arsenic your personification count grows.

FAQs (Embedded Analytics and Reporting)

1. What are nan main differences betwixt Tableau and Power BI?

Tableau focuses connected precocious ocular design, cross-platform deployment (on-prem aliases immoderate cloud), and a ample viz library, but it costs much per user. Power BI is cheaper, tightly integrated pinch Microsoft 365/Azure, and awesome for Excel users, though immoderate features require an Azure capacity and Windows-centric stack.

2. How does Sisense grip ample datasets compared to different tools?

Sisense’s proprietary ElastiCube “in-chip” motor compresses information successful memory, letting a azygous node service millions of rows while maintaining accelerated query response; benchmarks show 500 GB cubes connected 128 GB RAM. Competing BI devices often trust connected outer warehouses aliases slower in-memory engines for akin workloads.

3. Which embedded analytics instrumentality offers nan champion customization options?

Sisense and Qlik are stand-outs: some expose afloat REST/JavaScript APIs, support heavy white-labeling, and fto dev teams build bespoke ocular components aliases mashups—ideal erstwhile you request analytics to look and consciousness 100 % autochthonal successful your app.

4. Are location immoderate free alternatives to Tableau and Sisense?

Yes—open-source BI platforms for illustration Apache Superset, Metabase, Redash, and Google’s free Looker Studio present dashboarding and basal embedded options astatine zero costs (self-hosted aliases SaaS tiers), making them bully entry-level substitutes for smaller teams aliases tight budgets.