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

Embedded analytics refers to integrating interactive dashboards, studies, and AI-driven information insights straight into purposes or workflows. This strategy lets customers entry analytics in context with out switching to a separate BI device. 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 information entry and AI options like pure language queries and automatic insights, which make analytics extra accessible.

Under we evaluation high instruments that present AI-powered embedded analytics and reporting. Every device consists of 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 rapidly add customer-facing dashboards and studies to their apps. It presents 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 studies 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 routinely.

This makes information 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: Inside BI use solely; limitless inner customers/dashboards.
• Development – 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 kind 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 enterprise information. ThoughtSpot’s in-memory engine handles massive information volumes, and its AI engine (SpotIQ) routinely finds insights and anomalies.

For embedding, ThoughtSpot gives low-code parts and strong 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 means.

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 presents 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. Consists of multi-tenant help, superior safety, and so forth.

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 studies into their very own purposes or web sites.

Builders can embed Tableau dashboards through 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 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 presents stay or in-memory information connectivity, guaranteeing that embedded content material can show up-to-date information. It’s well-suited for each inner embedded use (e.g. inside an enterprise portal) and exterior customer-facing analytics, although licensing price and infrastructure have to 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 inner energy customers interacting with embedded studies.
• 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 purposes. That is engaging for builders constructing customer-facing analytics, because it combines Energy BI’s strong options (interactive studies, AI visuals, pure language Q&A, and so forth.) with versatile embedding choices.

You may embed full studies or particular person tiles, management them through 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), robust information 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/consumer/month: Permits creating and sharing studies. Required for builders and any inner 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 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 information modeling layer, LookML, which lets information 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 information tables in purposes, leveraging the identical Looker backend. One in all 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 forth.), and since it’s within the Google ecosystem, it integrates with Google Cloud providers (permissions, AI/ML through BigQuery, and so forth.).

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

Go to Looker →

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

Sisense is understood for its ElastiCube in-chip reminiscence know-how, which might mash up information 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 means 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 presents each cloud and on-premises deployment choices, catering to totally different safety necessities.

Sisense additionally gives a variety of customization choices: you’ll be able to embed whole dashboards or particular person widgets, and use their JavaScript library to deeply customise feel and look. It’s suited to organizations that want an end-to-end answer – from information 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 usually 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× premium over self-host).
• Development/Enterprise OEM – Prices scale considerably with utilization; mid-range deployments usually 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 trendy analytics platform. Qlik’s embedded analytics capabilities will let you combine its associative information engine and wealthy visuals into different purposes.

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 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 so forth.) to embed charts and even construct absolutely customized analytics experiences on high of its engine. It additionally helps commonplace embed through iframes or mashups.

Qlik has included AI as nicely – the Perception Advisor can generate insights or chart ideas routinely. For builders, Qlik’s platform is kind of strong: you’ll be able to 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): Consists of 10 customers + 25 GB “information for evaluation.” No further information add-ons out there.
• Commonplace – $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 In all places is its embedded analytics answer aimed toward sharing Domo’s dashboards exterior the core Domo atmosphere. With Domo In all places, firms can distribute interactive dashboards to clients or companions through 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 presents strong governance so you’ll be able to management what exterior viewers see.

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

• Primary Embedded Package deal – roughly $3,000 per 30 days for a limited-user, limited-data situation. This would possibly embody a handful of dashboards and a reasonable variety of exterior viewers.
• Mid-size Deployment – roughly $20k–$50k per 12 months for mid-sized companies. This may cowl extra customers and information; e.g., just a few hundred exterior customers with common utilization.
• Enterprise – $100k+/12 months for large-scale deployments. Enterprises with 1000’s of exterior customers or very excessive information volumes can anticipate prices in six figures. (Domo usually 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 presents a cohesive answer with modules for dashboards, information discovery, automated alerts (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 in addition 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 trendy tendencies. A notable function is Yellowfin’s information storytelling – you’ll be able to create slide-show type narratives with charts and textual content, which could be embedded to offer end-users contextual evaluation, not simply uncooked dashboards.

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

Pricing: (Customized – Yellowfin presents versatile fashions)

Go to Yellowfin →

Mode is a platform geared in 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 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 publish interactive visualizations or dashboards that may be embedded into net apps. This implies in case your utility’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 ideas. Firms usually 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 may management it through their API (to provision customers, run queries, and so forth.). It’s in style with information groups because of the seamless workflow from coding to sharing insights.

Pricing: (USD)

• Studio (Free) – $0 perpetually for as much as 3 customers. This consists of core SQL/Python/R analytics, non-public information connections, 10MB question restrict, and so forth. Good for preliminary growth and testing of embedded concepts.
• Professional (Enterprise) – Begins round ~$6,000/12 months (estimated). Mode doesn’t checklist mounted 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. Consists of all Professional options plus enterprise safety (SSO, superior permissions), customized compute for heavy workloads, and premium help.

Go to Mode →

The best way to Select the Proper Embedded Analytics Device

Choosing an embedded analytics answer requires balancing your organization’s wants with every device’s strengths. Begin along with your use case and viewers: Take into account who shall be utilizing the analytics and their technical stage. In the event you’re embedding dashboards for non-technical enterprise customers or clients, a device with a straightforward UI might be essential. Conversely, in case your utility calls for extremely customized analyses or you might have a robust information science group, a extra versatile code-first device could be higher.

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

Integration and scalability are crucial components. Take a look at how nicely the device will combine along with your present techniques and future structure. Lastly, weigh pricing and whole price of possession towards your price range and income mannequin. Embedded analytics instruments differ from per-user pricing to usage-based and stuck OEM licenses. Map out a tough projection of prices for 1 12 months and three years as your consumer rely 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, 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 tens of millions of rows whereas sustaining quick question response; benchmarks present 500 GB cubes on 128 GB RAM. Competing BI instruments usually depend on exterior warehouses or slower in-memory engines for comparable workloads.

3. Which embedded analytics device presents one of the 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 parts or mashups—excellent if you want analytics to feel and look 100 % native in your app.

4. Are there any free alternate 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.