Prime 10 AI Instruments for Embedded Analytics and Reporting (Could 2025)

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

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

Under we evaluate prime instruments that present AI-powered embedded analytics and reporting. Every software contains an summary, key execs and cons, and a breakdown of pricing tiers.

AI Instruments for Embedded Analytics and Reporting (Comparability Desk)

(Supply: Explo)

Explo is an embedded analytics platform designed for product and engineering groups to shortly add customer-facing dashboards and experiences to their apps. It affords 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 information and even construct advert hoc experiences while not having developer intervention. A standout function is Explo AI, a generative AI functionality that lets customers ask free-form questions and get again related charts robotically.

This makes information exploration as simple as typing a question in pure language. Explo integrates with many databases and is constructed to scale from startup use instances 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; contains 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; contains precedence assist, 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 information and immediately get visible solutions.

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

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

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

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

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

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 experiences into their very own functions or web sites.

Builders can embed Tableau dashboards by way of iFrames or utilizing the JavaScript API, enabling wealthy information 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 consumer neighborhood.

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 affords stay or in-memory information connectivity, making certain 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 consumer, with role-based tiers – USD)

• Creator – $70 per consumer/month: Full authoring license (information prep, dashboard creation). Wanted for builders constructing embedded dashboards.
• Explorer – $35 per consumer/month: For customers who discover and edit restricted content material. Appropriate for inside energy customers interacting with embedded experiences.
• Viewer – $12 per consumer/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 functions. That is engaging for builders constructing customer-facing analytics, because it combines Energy BI’s sturdy options (interactive experiences, AI visuals, pure language Q&A, and so on.) with versatile embedding choices.

You possibly can embed full experiences or particular person tiles, management them by way of REST API, and apply row-level safety for multi-tenant situations. Energy BI’s strengths embody tight integration with the Microsoft ecosystem (Azure, Workplace 365), sturdy information modeling (by way of 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/consumer/month: Allows creating and sharing experiences. Required for builders and any inside customers of embedded content material.
• Energy BI Premium Per Consumer – $24/consumer/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 by way of 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 information modeling layer, LookML, which lets information groups outline enterprise metrics and logic centrally.

For embedded analytics, Looker supplies a sturdy resolution: you possibly can embed interactive dashboards or exploratory information tables in functions, leveraging the identical Looker backend. One among Looker’s core strengths is consistency – due to LookML, all customers (and embedded views) use trusted information definitions, avoiding mismatched metrics.

Looker additionally excels at integrations: it connects natively to cloud databases (BigQuery, Snowflake, and so on.), and since it’s within the Google ecosystem, it integrates with Google Cloud providers (permissions, AI/ML by way of BigQuery, and so on.).

Pricing: (Customized quotes by way of 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 instances. It permits firms to infuse analytics into their merchandise by way of versatile APIs or net elements, and even permits constructing customized analytic apps.

Sisense is understood for its ElastiCube in-chip reminiscence know-how, which may mash up information from a number of sources and ship quick efficiency for dashboards. In recent times, Sisense has included AI options (e.g. NLQ, automated insights) to remain aggressive.

A key benefit of Sisense is its capability 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 affords each cloud and on-premises deployment choices, catering to totally different safety necessities.

Sisense additionally supplies a spread of customization choices: you possibly can embed total dashboards or particular person widgets, and use their JavaScript library to deeply customise feel and appear. It’s fitted to organizations that want an end-to-end resolution – from information preparation to visualization – particularly tailor-made for embedding in exterior functions.

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

• Starter (Self-Hosted) – Begins round $10,000/yr for a small deployment (few customers, primary options). This may usually be an on-prem license for inside BI or restricted OEM use.
• Cloud (SaaS) Starter – ~$21,000/yr 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 yr. Massive 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 permit you to combine its associative information engine and wealthy visuals into different functions.

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

In an embedded state of affairs, this implies end-users can get highly effective interactive exploration, not simply static filtered views. Qlik supplies APIs (Functionality API, Nebula.js library, and so on.) to embed charts and even construct totally customized analytics experiences on prime of its engine. It additionally helps customary embed by way of iframes or mashups.

Qlik has included AI as nicely – the Perception Advisor can generate insights or chart solutions robotically. For builders, Qlik’s platform is sort of sturdy: you possibly can script information transformations in its load script, use its safety guidelines for multi-tenant setups, and even embed Qlik into cellular apps.

Pricing: (USD)

• Starter – $200 / month (billed yearly): Contains 10 customers + 25 GB “information for evaluation.” No further information add-ons accessible.
• Normal – $825 / month: Begins with 25 GB; purchase extra capability in 25 GB blocks. Limitless consumer 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 All over the place is its embedded analytics resolution geared toward sharing Domo’s dashboards exterior the core Domo atmosphere. With Domo All over the place, firms can distribute interactive dashboards to clients or companions by way of embed codes or public hyperlinks, whereas nonetheless managing every little thing from the central Domo occasion.

Domo is understood for its end-to-end capabilities within the cloud – from information integration (500+ connectors, built-in ETL referred to as Magic ETL) to information visualization and even a built-in 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 minimal coding. It additionally affords sturdy governance so you possibly can management what exterior viewers see.

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

• Fundamental Embedded Bundle – roughly $3,000 monthly for a limited-user, limited-data state of affairs. This would possibly embody a handful of dashboards and a average variety of exterior viewers.
• Mid-size Deployment – roughly $20k–$50k per yr for mid-sized companies. This may cowl extra customers and information; e.g., a couple of hundred exterior customers with common utilization.
• Enterprise – $100k+/yr for large-scale deployments. Enterprises with 1000’s of exterior customers or very excessive information volumes can anticipate prices in six figures. (Domo typically buildings enterprise offers as unlimited-user however metered by information/question credit.)

Go to Domo →

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

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

It additionally has NLP question (pure language querying) and AI-driven insights, aligning with fashionable developments. A notable function is Yellowfin’s information storytelling – you possibly can create slide-show fashion narratives with charts and textual content, which may be embedded to present end-users contextual evaluation, not simply uncooked dashboards.

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

Pricing: (Customized – Yellowfin affords versatile fashions)

Go to Yellowfin →

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

Mode’s enchantment in an embedded context is its flexibility: analysts can use SQL, Python, and R in a single atmosphere 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 solutions. Firms 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 by way of their API (to provision customers, run queries, and so on.). It’s widespread with information groups as a result of seamless workflow from coding to sharing insights.

Pricing: (USD)

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

Go to Mode →

How you can Select the Proper Embedded Analytics Device

Choosing an embedded analytics resolution requires balancing your organization’s wants with every software’s strengths. Begin together with your use case and viewers: Think about who will probably be utilizing the analytics and their technical degree. In the event you’re embedding dashboards for non-technical enterprise customers or clients, a software with a straightforward UI might be necessary. Conversely, in case your software calls for extremely customized analyses or you’ve a robust information science crew, a extra versatile code-first software could be higher.

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

Integration and scalability are important components. Take a look at how nicely the software will combine together with your present programs and future structure. Lastly, weigh pricing and complete price of possession in opposition to your finances and income mannequin. Embedded analytics instruments fluctuate from per-user pricing to usage-based and glued OEM licenses. Map out a tough projection of prices for 1 yr and three years as your consumer depend grows.

FAQs (Embedded Analytics and Reporting)

1. What are the primary 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, but it surely prices extra per consumer. 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 massive datasets in comparison with different instruments?

Sisense’s proprietary ElastiCube “in-chip” engine compresses information in reminiscence, letting a single node serve hundreds of 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 comparable workloads.

3. Which embedded analytics software affords the most effective customization choices?

Sisense and Qlik are stand-outs: each expose full REST/JavaScript APIs, assist deep white-labeling, and let dev groups construct bespoke visible elements or mashups—very best if you want analytics to feel and appear 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.