Top 10 AI Tools for Embedded Analytics and Reporting (May 2025)

Embedded analytics refers to integrating interactive dashboards, studies, and AI-driven information insights at once into programs or workflows. This method shall we customers get right of entry to analytics in context with out switching to a separate BI instrument. It’s a impulsively rising marketplace – valued round $20 billion in 2024 and projected to reach $75 billion by 2032 (18% CAGR).

Organizations are embracing embedded analytics to empower end-users with real-time data. Those developments are fueled by way of call for for self-service information get right of entry to and AI options like natural language queries and automatic insights, which make analytics extra available.

Beneath we assessment most sensible gear that supply AI-powered embedded analytics and reporting. Every instrument comprises an summary, key professionals and cons, and a breakdown of pricing tiers.

AI Equipment for Embedded Analytics and Reporting (Comparability Desk)

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

Explo specializes in self-service: end-users can discover information or even construct advert hoc studies while not having developer intervention. A standout characteristic is Explo AI, a generative AI capacity that shall we customers ask free-form questions and get again related charts routinely.

This makes information exploration as simple as typing a question in herbal language. Explo integrates with many databases and is constructed to scale from startup use circumstances to undertaking deployments (it’s SOC II, GDPR, and HIPAA compliant for security).

Pricing: (Per 30 days subscriptions – USD)

• Release – Loose: Inside BI use solely; limitless inner customers/dashboards.
• Enlargement – from $795/month: For embedding in apps; comprises 3 embedded dashboards, 25 visitor accounts.
• Professional – from $2,195/month: Complicated embedding; limitless dashboards, complete white-label, scales with utilization.
• Endeavor – Customized: Customized pricing for big scale deployments; comprises precedence enhance, SSO, customized options.

Visit Explo →

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

This makes analytics available to non-technical customers – necessarily a Google-like revel in for your online business information. ThoughtSpot’s in-memory engine handles vast information volumes, and its AI engine (SpotIQ) routinely unearths insights and anomalies.

For embedding, ThoughtSpot supplies low-code elements and powerful REST APIs/SDKs to combine interactive Liveboards (dashboards) and even simply the quest bar into programs. It’s well-liked 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 consumers ask information questions at the fly. The platform emphasizes ease-of-use and speedy deployment, regardless that it additionally gives undertaking options like row-level safety and scalability throughout cloud information warehouses.

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

• Necessities – $1,250/month (billed every year): For higher deployments; larger information potential and lines.
• ThoughtSpot Professional: Customized quote. Complete embedding functions for customer-facing apps (as much as ~500 million information rows).
• ThoughtSpot Endeavor: Customized quote. Limitless information scale and undertaking SLA. Contains multi-tenant enhance, complex safety, and so forth.

Visit ThoughtSpot →

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

Builders can embed Tableau dashboards by means of iFrames or the usage of the JavaScript API, enabling wealthy information visuals and filtering in-app. Tableau’s energy lies in its breadth of out-of-the-box visuals, drag-and-drop ease for growing dashboards, and a big person neighborhood.

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

Tableau works with quite a lot of information resources and provides are living or in-memory information connectivity, making sure that embedded content material can show up-to-date data. It’s well-suited for each inner embedded use (e.g. inside an undertaking portal) and exterior customer-facing analytics, regardless that licensing charge and infrastructure should be deliberate accordingly.

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

• Author – $70 in keeping with person/month: Complete authoring license (information prep, dashboard introduction). Wanted for builders construction embedded dashboards.
• Explorer – $35 in keeping with person/month: For customers who discover and edit restricted content material. Appropriate for inner energy customers interacting with embedded studies.
• Viewer – $12 in keeping with person/month: Learn-only get right of entry to to view dashboards. For finish audience of embedded analytics.

Visit Tableau →

Microsoft Energy BI is a widely-used BI suite, and Energy BI Embedded refers back to the Azure provider and APIs that can help you embed Energy BI visuals into customized programs. That is sexy for builders construction customer-facing analytics, because it combines Energy BI’s powerful options (interactive studies, AI visuals, herbal language Q&A, and so forth.) with versatile embedding choices.

You’ll be able to embed complete studies or particular person tiles, keep an eye on them by means of REST API, and follow row-level safety for multi-tenant eventualities. Energy BI’s strengths come with tight integration with the Microsoft ecosystem (Azure, Place of business 365), sturdy information modeling (by means of Energy BI Desktop), and rising AI functions (e.g. the Q&A visible that permits customers to invite questions in undeniable English).

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

• Energy BI Professional – $14/person/month: Permits growing and sharing studies. Required for builders and any inner customers of embedded content material.
• Energy BI Top class In step with Consumer – $24/person/month: Enhanced options (AI, higher datasets) on a per-user foundation. Helpful if a small selection of customers want top rate functions as a substitute of a complete potential.
• Energy BI Embedded (A SKUs) – From ~$735/month for A1 potential (3 GB RAM, 1 v-core). Scales as much as ~$23,500/month for A6 (100 GB, 32 cores) for high-end wishes. Billed hourly by means of Azure, with scale-out choices.

Visit Power BI →

Looker is a contemporary analytics platform now a part of Google Cloud. It’s recognized for its distinctive information modeling layer, LookML, which shall we information groups outline trade metrics and good judgment centrally.

For embedded analytics, Looker supplies a powerful answer: you’ll embed interactive dashboards or exploratory information tables in programs, leveraging the similar Looker backend. One in all Looker’s core strengths is consistency – on account of LookML, all customers (and embedded perspectives) use relied on information definitions, keeping off mismatched metrics.

Looker additionally excels at integrations: it connects natively to cloud databases (BigQuery, Snowflake, and so forth.), and as it’s within the Google ecosystem, it integrates with Google Cloud services and products (permissions, AI/ML by means of BigQuery, and so forth.).

Pricing: (Customized quotes by means of gross sales; instance figures)

Visit Looker →

Sisense is a full-stack BI and analytics platform with a robust focal point on embedded analytics use circumstances. It permits corporations to infuse analytics into their merchandise by means of versatile APIs or internet elements, or even permits construction customized analytic apps.

Sisense is understood for its ElastiCube in-chip reminiscence generation, which will mash up information from more than one resources and ship speedy efficiency for dashboards. In recent times, Sisense has included AI options (e.g. NLQ, automatic insights) to stick aggressive.

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

Sisense additionally supplies a spread of customization choices: you’ll embed complete dashboards or particular person widgets, and use their JavaScript library to deeply customise appear and feel. It’s fitted to organizations that want an end-to-end answer – from information preparation to visualization – in particular adapted for embedding in exterior programs.

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

• Starter (Self-Hosted) – Begins round $10,000/12 months for a small deployment (few customers, fundamental options). This could most often be an on-prem license for inner BI or restricted OEM use.
• Cloud (SaaS) Starter – ~$21,000/12 months for ~5 customers on Sisense Cloud (cloud internet hosting carries ~2× top rate over self-host).
• Enlargement/Endeavor OEM – Prices scale considerably with utilization; mid-range deployments incessantly fluctuate $50K-$100K+ in keeping with 12 months. Huge undertaking offers can succeed in a number of hundred thousand or extra if there are very excessive numbers of end-users.

Visit Sisense →

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

Qlik’s differentiator is its Associative Engine: customers can freely discover information associations (making alternatives throughout any fields) and the engine right away updates all charts to replicate the ones alternatives, revealing hidden insights.

In an embedded state of affairs, this implies end-users can get tough interactive exploration, no longer simply static filtered perspectives. Qlik supplies APIs (Capacity API, Nebula.js library, and so forth.) to embed charts and even construct absolutely customized analytics reports on most sensible of its engine. It additionally helps usual embed by means of iframes or mashups.

Qlik has included AI as properly – the Perception Marketing consultant can generate insights or chart tips routinely. For builders, Qlik’s platform is moderately powerful: you’ll script information transformations in its load script, use its safety regulations for multi-tenant setups, or even embed Qlik into cellular apps.

Pricing: (USD)

• Starter – $200 / month (billed every year): Contains 10 customers + 25 GB “information for research.” No additional information add-ons to be had.
• Usual – $825 / month: Begins with 25 GB; purchase extra potential in 25 GB blocks. Limitless person get right of entry to.
• Top class – $2,750 / month: Begins with 50 GB, provides AI/ML, public/nameless get right of entry to, higher app sizes (10 GB).
• Endeavor – Customized quote: Starts at 250 GB; helps higher app sizes (as much as 40 GB), multi-region tenants, expanded AI/automation quotas.

Visit Qlik →

Domo is a cloud-first trade intelligence platform, and Domo All over the place is its embedded analytics answer aimed toward sharing Domo’s dashboards out of doors the core Domo atmosphere. With Domo All over the place, corporations can distribute interactive dashboards to consumers or companions by means of embed codes or public hyperlinks, whilst nonetheless managing the entirety from the central Domo example.

Domo is understood for its end-to-end functions within the cloud – from information integration (500+ connectors, integrated ETL referred to as Magic ETL) to information visualization or even a integrated information 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 minimum coding. It additionally gives powerful governance so you’ll keep an eye on what exterior audience see.

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

• Fundamental Embedded Package deal – more or less $3,000 monthly for a limited-user, limited-data state of affairs. This may come with a handful of dashboards and a reasonable selection of exterior audience.
• Mid-size Deployment – roughly $20k–$50k in keeping with 12 months for mid-sized companies. This could duvet extra customers and knowledge; e.g., a couple of hundred exterior customers with common utilization.
• Endeavor – $100k+/12 months for large-scale deployments. Enterprises with 1000’s of exterior customers or very excessive information volumes can be expecting prices in six figures. (Domo incessantly buildings undertaking offers as unlimited-user however metered by way of information/question credit.)

Visit Domo →

Yellowfin is a BI platform that has carved a distinct segment in embedded analytics and knowledge storytelling. It gives a cohesive answer with modules for dashboards, information discovery, automatic alerts (indicators on adjustments), or even a novel Tale characteristic for narrative reporting.

For embedding, Yellowfin Embedded Analytics supplies OEM companions a versatile licensing style and technical functions to combine Yellowfin content material into their programs. Yellowfin’s energy lies in its balanced focal point: it’s tough sufficient for undertaking BI but in addition streamlined for embedding, with options like multi-tenant enhance and white-labeling.

It additionally has NLP question (herbal language querying) and AI-driven insights, aligning with fashionable developments. A notable characteristic is Yellowfin’s information storytelling – you’ll create slide-show genre narratives with charts and textual content, which can also be embedded to provide end-users contextual research, no longer simply uncooked dashboards.

Yellowfin is incessantly praised for its collaborative options (annotations, dialogue threads on charts) which can also be really helpful in an embedded context the place you need customers to interact with the analytics.

Pricing: (Customized – Yellowfin gives versatile fashions)

Visit Yellowfin →

Mode is a platform geared in opposition to complex analysts and knowledge scientists, combining BI with notebooks. It’s now a part of ThoughtSpot (bought in 2023) however nonetheless introduced as a standalone answer.

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

It has a contemporary HTML5 dashboarding gadget and not too long ago presented “Visible Explorer” for drag-and-drop charting, plus AI help options for question tips. Firms incessantly use Mode to construct wealthy, bespoke analytics for his or her consumers – for instance, a device corporate may use Mode to expand a posh record, after which embed that record of their product for each and every visitor with the information filtered accurately.

Mode helps white-label embedding, and you’ll keep an eye on it by means of their API (to provision customers, run queries, and so forth.). It’s well-liked by information groups because of the seamless workflow from coding to sharing insights.

Pricing: (USD)

• Studio (Loose) – $0 perpetually for as much as 3 customers. This comprises core SQL/Python/R analytics, non-public information connections, 10MB question restrict, and so forth. Excellent for preliminary building and trying out of embedded concepts.
• Professional (Trade) – Begins round ~$6,000/12 months (estimated). Mode doesn’t listing fastened costs, however third-party resources point out professional plans within the mid four-figure fluctuate every year for small groups.
• Endeavor – Customized pricing, most often five-figure every year as much as ~$50k for big orgs. Contains all Professional options plus undertaking safety (SSO, complex permissions), customized compute for heavy workloads, and top rate enhance.

Visit Mode →

How one can Select the Proper Embedded Analytics Instrument

Deciding on an embedded analytics answer calls for balancing your corporate’s wishes with each and every instrument’s strengths. Get started together with your use case and target audience: Imagine who might be the usage of the analytics and their technical point. For those who’re embedding dashboards for non-technical trade customers or consumers, a device with a very easy UI may well be vital. Conversely, in case your utility calls for extremely customized analyses or you’ve a robust information science crew, a extra versatile code-first instrument may well be higher.

Additionally evaluation whether or not you wish to have an absolutely controlled answer (extra plug-and-play, e.g. Explo or Domo) or are prepared to control extra infrastructure for a doubtlessly extra tough platform (e.g. self-hosting Qlik or Sisense for entire keep an eye on). The dimensions of your corporate (and engineering sources) will affect this trade-off – startups incessantly lean in opposition to turnkey cloud services and products, whilst higher enterprises may combine a platform into their current tech stack.

Integration and scalability are vital components. Have a look at how properly the instrument will combine together with your present methods and long run structure. In any case, weigh pricing and overall charge of possession in opposition to your finances and profit style. Embedded analytics gear range from per-user pricing to usage-based and glued OEM licenses. Map out a coarse 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 specializes in complex visible design, cross-platform deployment (on-prem or any cloud), and a big viz library, nevertheless it prices extra in keeping with person. Energy BI is less expensive, tightly built-in with Microsoft 365/Azure, and nice for Excel customers, regardless that some options require an Azure potential and Home windows-centric stack.

2. How does Sisense deal with vast datasets in comparison to different gear?

Sisense’s proprietary ElastiCube “in-chip” engine compresses information in reminiscence, letting a unmarried node serve thousands and thousands of rows whilst keeping up speedy question reaction; benchmarks exhibit 500 GB cubes on 128 GB RAM. Competing BI gear incessantly depend on exterior warehouses or slower in-memory engines for an identical workloads.

3. Which embedded analytics instrument gives the most efficient customization choices?

Sisense and Qlik are stand-outs: each reveal complete REST/JavaScript APIs, enhance deep white-labeling, and let dev groups construct bespoke visible elements or mashups—supreme when you wish to have analytics to appear and feel 100 % local to your app.

4. Are there any loose choices to Tableau and Sisense?

Sure—open-source BI platforms like Apache Superset, Metabase, Redash, and Google’s loose Looker Studio ship dashboarding and fundamental embedded choices at 0 charge (self-hosted or SaaS tiers), making them excellent entry-level substitutes for smaller groups or tight budgets.