High 10 AI Instruments for Embedded Analytics and Reporting (Might 2025)

Embedded analytics refers to integrating interactive dashboards, reviews, and AI-driven knowledge insights straight into purposes or workflows. This method lets customers entry analytics in context with out switching to a separate BI instrument. It’s a quickly rising market – valued round $20 billion in 2024 and projected to succeed in $75 billion by 2032 (18% CAGR).

Organizations are embracing embedded analytics to empower end-users with real-time info. These tendencies are fueled by demand for self-service knowledge entry and AI options like pure language queries and automatic insights, which make analytics extra accessible.

Beneath we evaluation high instruments that present AI-powered embedded analytics and reporting. Every instrument consists of an outline, key professionals and cons, and a breakdown of pricing tiers.

AI Instruments for Embedded Analytics and Reporting (Comparability Desk)

Explo is an embedded analytics platform designed for product and engineering groups to shortly add customer-facing dashboards and reviews to their apps. It provides a no-code interface for creating interactive charts and helps white-labeled embedding, so the analytics mix into your product’s UI.

Explo focuses on self-service: end-users can discover knowledge and even construct advert hoc reviews with no need developer intervention. A standout function is Explo AI, a generative AI functionality that lets customers ask free-form questions and get again related charts mechanically.

This makes knowledge exploration as straightforward as typing a question in pure language. Explo integrates with many databases and is constructed to scale from startup use circumstances to enterprise deployments (it’s SOC II, GDPR, and HIPAA compliant for safety).

Pricing: (Month-to-month subscriptions – USD)

• Launch – Free: Inner BI use solely; limitless inside customers/dashboards.
• Progress – from $795/month: For embedding in apps; consists of 3 embedded dashboards, 25 buyer accounts.
• Professional – from $2,195/month: Superior embedding; limitless dashboards, full white-label, scales with utilization.
• Enterprise – Customized: Customized pricing for big scale deployments; consists of precedence help, SSO, customized options.

Go to Explo →

ThoughtSpot is an AI-driven analytics platform famend for its search-based interface. With ThoughtSpot’s embedded analytics, customers can sort pure language queries (or use voice) to discover knowledge and immediately get visible solutions.

This makes analytics accessible to non-technical customers – primarily a Google-like expertise for your enterprise knowledge. ThoughtSpot’s in-memory engine handles giant knowledge volumes, and its AI engine (SpotIQ) mechanically finds insights and anomalies.

For embedding, ThoughtSpot gives low-code elements and sturdy REST APIs/SDKs to combine interactive Liveboards (dashboards) and even simply the search bar into purposes. It’s in style for customer-facing analytics in apps the place end-users want ad-hoc querying skill.

Companies in retail, finance, and healthcare use ThoughtSpot to let frontline workers and clients ask knowledge questions on the fly. The platform emphasizes ease-of-use and quick deployment, although it additionally provides enterprise options like row-level safety and scalability throughout cloud knowledge warehouses.

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

• Necessities – $1,250/month (billed yearly): For bigger deployments; elevated knowledge capability and options.
• ThoughtSpot Professional: Customized quote. Full embedding capabilities for customer-facing apps (as much as ~500 million knowledge rows).
• ThoughtSpot Enterprise: Customized quote. Limitless knowledge scale and enterprise SLA. Consists of multi-tenant help, superior safety, and many others.

Go to ThoughtSpot →

Tableau (a part of Salesforce) is a number one BI platform recognized for its highly effective visualization and dashboarding capabilities. Tableau Embedded Analytics permits organizations to combine Tableau’s interactive charts and reviews into their very own purposes or web sites.

Builders can embed Tableau dashboards through iFrames or utilizing the JavaScript API, enabling wealthy knowledge visuals and filtering in-app. Tableau’s power lies in its breadth of out-of-the-box visuals, drag-and-drop ease for creating dashboards, and a big person group.

It additionally has launched AI options – for instance, in 2024 Salesforce introduced Tableau Pulse, which makes use of generative AI to ship automated insights and pure language summaries to customers. This augments embedded dashboards with proactive explanations.

Tableau works with a variety of knowledge sources and provides dwell or in-memory knowledge connectivity, guaranteeing that embedded content material can show up-to-date information. It’s well-suited for each inside embedded use (e.g. inside an enterprise portal) and exterior customer-facing analytics, although licensing price and infrastructure should be deliberate accordingly.

Pricing: (Subscription per person, with role-based tiers – USD)

• Creator – $70 per person/month: Full authoring license (knowledge prep, dashboard creation). Wanted for builders constructing embedded dashboards.
• Explorer – $35 per person/month: For customers who discover and edit restricted content material. Appropriate for inside energy customers interacting with embedded reviews.
• Viewer – $12 per person/month: Learn-only entry to view dashboards. For finish viewers of embedded analytics.

Go to Tableau →

Microsoft Energy BI is a widely-used BI suite, and Energy BI Embedded refers back to the Azure service and APIs that allow you to embed Energy BI visuals into customized purposes. That is enticing for builders constructing customer-facing analytics, because it combines Energy BI’s sturdy options (interactive reviews, AI visuals, pure language Q&A, and many others.) with versatile embedding choices.

You may embed full reviews or particular person tiles, management them through REST API, and apply row-level safety for multi-tenant situations. Energy BI’s strengths embrace tight integration with the Microsoft ecosystem (Azure, Workplace 365), sturdy knowledge modeling (through Energy BI Desktop), and rising AI capabilities (e.g. the Q&A visible that enables customers to ask questions in plain English).

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

• Energy BI Professional – $14/person/month: Permits creating and sharing reviews. Required for builders and any inside customers of embedded content material.
• Energy BI Premium Per Person – $24/person/month: Enhanced options (AI, bigger datasets) on a per-user foundation. Helpful if a small variety of customers want premium capabilities as an alternative of a full capability.
• Energy BI Embedded (A SKUs) – From ~$735/month for A1 capability (3 GB RAM, 1 v-core). Scales as much as ~$23,500/month for A6 (100 GB, 32 cores) for high-end wants. Billed hourly through Azure, with scale-out choices.

Go to Energy BI →

Looker is a contemporary analytics platform now a part of Google Cloud. It’s recognized for its distinctive knowledge modeling layer, LookML, which lets knowledge groups outline enterprise metrics and logic centrally.

For embedded analytics, Looker gives a sturdy answer: you’ll be able to embed interactive dashboards or exploratory knowledge tables in purposes, leveraging the identical Looker backend. One in every of Looker’s core strengths is consistency – due to LookML, all customers (and embedded views) use trusted knowledge definitions, avoiding mismatched metrics.

Looker additionally excels at integrations: it connects natively to cloud databases (BigQuery, Snowflake, and many others.), and since it’s within the Google ecosystem, it integrates with Google Cloud companies (permissions, AI/ML through BigQuery, and many others.).

Pricing: (Customized quotes through gross sales; instance figures)

Go to Looker →

Sisense is a full-stack BI and analytics platform with a robust give attention to embedded analytics use circumstances. It permits firms to infuse analytics into their merchandise through versatile APIs or net elements, and even permits constructing customized analytic apps.

Sisense is thought for its ElastiCube in-chip reminiscence expertise, which may mash up knowledge from a number of sources and ship quick efficiency for dashboards. Lately, Sisense has included AI options (e.g. NLQ, automated insights) to remain aggressive.

A key benefit of Sisense is its skill to be totally white-labeled and its OEM-friendly licensing, which is why many SaaS suppliers select it to energy their in-app analytics. It provides each cloud and on-premises deployment choices, catering to completely different safety necessities.

Sisense additionally gives a variety of customization choices: you’ll be able to embed total dashboards or particular person widgets, and use their JavaScript library to deeply customise feel and look. It’s fitted to organizations that want an end-to-end answer – from knowledge preparation to visualization – particularly tailor-made for embedding in exterior purposes.

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

• Starter (Self-Hosted) – Begins round $10,000/12 months for a small deployment (few customers, primary options). This may sometimes be an on-prem license for inside BI or restricted OEM use.
• Cloud (SaaS) Starter – ~$21,000/12 months for ~5 customers on Sisense Cloud (cloud internet hosting carries ~2× premium over self-host).
• Progress/Enterprise OEM – Prices scale considerably with utilization; mid-range deployments typically vary $50K-$100K+ per 12 months. Giant enterprise offers can attain a number of hundred thousand or extra if there are very excessive numbers of end-users.

Go to Sisense →

Qlik is a long-time chief in BI, providing Qlik Sense as its fashionable analytics platform. Qlik’s embedded analytics capabilities let you combine its associative knowledge engine and wealthy visuals into different purposes.

Qlik’s differentiator is its Associative Engine: customers can freely discover knowledge associations (making choices throughout any fields) and the engine immediately updates all charts to mirror these choices, revealing hidden insights.

In an embedded situation, this implies end-users can get highly effective interactive exploration, not simply static filtered views. Qlik gives APIs (Functionality API, Nebula.js library, and many others.) to embed charts and even construct totally customized analytics experiences on high of its engine. It additionally helps commonplace embed through iframes or mashups.

Qlik has included AI as effectively – the Perception Advisor can generate insights or chart options mechanically. For builders, Qlik’s platform is sort of sturdy: you’ll be able to script knowledge transformations in its load script, use its safety guidelines for multi-tenant setups, and even embed Qlik into cell apps.

Pricing: (USD)

• Starter – $200 / month (billed yearly): Consists of 10 customers + 25 GB “knowledge for evaluation.” No additional knowledge add-ons obtainable.
• Customary – $825 / month: Begins with 25 GB; purchase extra capability in 25 GB blocks. Limitless person entry.
• Premium – $2,750 / month: Begins with 50 GB, provides AI/ML, public/nameless entry, bigger app sizes (10 GB).
• Enterprise – Customized quote: Begins at 250 GB; helps bigger app sizes (as much as 40 GB), multi-region tenants, expanded AI/automation quotas.

Go to Qlik →

Domo is a cloud-first enterprise intelligence platform, and Domo In all places is its embedded analytics answer geared toward sharing Domo’s dashboards outdoors the core Domo surroundings. With Domo In all places, firms can distribute interactive dashboards to clients or companions through embed codes or public hyperlinks, whereas nonetheless managing the whole lot from the central Domo occasion.

Domo is thought for its end-to-end capabilities within the cloud – from knowledge integration (500+ connectors, built-in ETL referred to as Magic ETL) to knowledge visualization and even a built-in knowledge science layer.

For embedding, Domo emphasizes ease of use: non-technical customers can create dashboards in Domo’s drag-and-drop interface, then merely embed them with minimal coding. It additionally provides sturdy governance so you’ll be able to management what exterior viewers see.

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

• Primary Embedded Bundle – roughly $3,000 per 30 days for a limited-user, limited-data situation. This would possibly embrace a handful of dashboards and a average variety of exterior viewers.
• Mid-size Deployment – roughly $20k–$50k per 12 months for mid-sized companies. This may cowl extra customers and knowledge; e.g., a number of hundred exterior customers with common utilization.
• Enterprise – $100k+/12 months for large-scale deployments. Enterprises with 1000’s of exterior customers or very excessive knowledge volumes can count on prices in six figures. (Domo typically constructions enterprise offers as unlimited-user however metered by knowledge/question credit.)

Go to Domo →

Yellowfin is a BI platform that has carved a distinct segment in embedded analytics and knowledge storytelling. It provides a cohesive answer with modules for dashboards, knowledge discovery, automated indicators (alerts on adjustments), and even a singular Story function for narrative reporting.

For embedding, Yellowfin Embedded Analytics gives OEM companions a versatile licensing mannequin and technical capabilities to combine Yellowfin content material into their purposes. Yellowfin’s power lies in its balanced focus: it’s highly effective sufficient for enterprise BI but additionally streamlined for embedding, with options like multi-tenant help and white-labeling.

It additionally has NLP question (pure language querying) and AI-driven insights, aligning with fashionable tendencies. A notable function is Yellowfin’s knowledge storytelling – you’ll be able to create slide-show type narratives with charts and textual content, which will be embedded to provide end-users contextual evaluation, not simply uncooked dashboards.

Yellowfin is commonly praised for its collaborative options (annotations, dialogue threads on charts) which will be useful in an embedded context the place you need customers to have interaction with the analytics.

Pricing: (Customized – Yellowfin provides versatile fashions)

Go to Yellowfin →

Mode is a platform geared in the direction of superior analysts and knowledge scientists, combining BI with notebooks. It’s now a part of ThoughtSpot (acquired in 2023) however nonetheless provided as a standalone answer.

Mode’s attraction in an embedded context is its flexibility: analysts can use SQL, Python, and R in a single surroundings to craft analyses, then publish interactive visualizations or dashboards that may be embedded into net apps. This implies in case your software’s analytics require heavy customized evaluation or statistical work, Mode is well-suited.

It has a contemporary HTML5 dashboarding system and just lately launched “Visible Explorer” for drag-and-drop charting, plus AI help options for question options. Corporations typically use Mode to construct wealthy, bespoke analytics for his or her clients – for instance, a software program firm would possibly use Mode to develop a posh report, after which embed that report of their product for every buyer with the information filtered appropriately.

Mode helps white-label embedding, and you’ll management it through their API (to provision customers, run queries, and many others.). It’s in style with knowledge groups because of the seamless workflow from coding to sharing insights.

Pricing: (USD)

• Studio (Free) – $0 ceaselessly for as much as 3 customers. This consists of core SQL/Python/R analytics, personal knowledge connections, 10MB question restrict, and many others. Good for preliminary improvement and testing of embedded concepts.
• Professional (Enterprise) – Begins round ~$6,000/12 months (estimated). Mode doesn’t listing fastened costs, however third-party sources point out professional plans within the mid four-figure vary yearly for small groups.
• Enterprise – Customized pricing, sometimes five-figure yearly as much as ~$50k for big orgs. Consists of all Professional options plus enterprise safety (SSO, superior permissions), customized compute for heavy workloads, and premium help.

Go to Mode →

The right way to Select the Proper Embedded Analytics Device

Deciding on an embedded analytics answer requires balancing your organization’s wants with every instrument’s strengths. Begin together with your use case and viewers: Take into account who will likely be utilizing the analytics and their technical degree. For those who’re embedding dashboards for non-technical enterprise customers or clients, a instrument with a straightforward UI might be necessary. Conversely, in case your software calls for extremely customized analyses or you’ve got a robust knowledge science workforce, a extra versatile code-first instrument could be higher.

Additionally consider whether or not you want a completely managed answer (extra plug-and-play, e.g. Explo or Domo) or are prepared to handle extra infrastructure for a probably extra highly effective platform (e.g. self-hosting Qlik or Sisense for full management). The scale of your organization (and engineering sources) will affect this trade-off – startups typically lean in the direction of turnkey cloud companies, whereas bigger enterprises would possibly combine a platform into their current tech stack.

Integration and scalability are crucial components. Have a look at how effectively the instrument will combine together with your present techniques and future structure. Lastly, weigh pricing and complete price of possession in opposition to your price range and income mannequin. Embedded analytics instruments range from per-user pricing to usage-based and glued OEM licenses. Map out a tough projection of prices for 1 12 months and three years as your person depend grows.

FAQs (Embedded Analytics and Reporting)

1. What are the principle variations between Tableau and Energy BI?

Tableau focuses on superior visible design, cross-platform deployment (on-prem or any cloud), and a big viz library, nevertheless it prices extra per person. Energy BI is cheaper, tightly built-in with Microsoft 365/Azure, and nice for Excel customers, although some options require an Azure capability and Home windows-centric stack.

2. How does Sisense deal with giant datasets in comparison with different instruments?

Sisense’s proprietary ElastiCube “in-chip” engine compresses knowledge in reminiscence, letting a single node serve thousands and thousands of rows whereas sustaining quick question response; benchmarks present 500 GB cubes on 128 GB RAM. Competing BI instruments typically depend on exterior warehouses or slower in-memory engines for related workloads.

3. Which embedded analytics instrument provides the very best customization choices?

Sisense and Qlik are stand-outs: each expose full REST/JavaScript APIs, help deep white-labeling, and let dev groups construct bespoke visible elements or mashups—superb if you want analytics to feel and look 100 % native in your app.

4. Are there any free options to Tableau and Sisense?

Sure—open-source BI platforms like Apache Superset, Metabase, Redash, and Google’s free Looker Studio ship dashboarding and primary embedded choices at zero price (self-hosted or SaaS tiers), making them good entry-level substitutes for smaller groups or tight budgets.