10 best Supermetrics Alternatives in 2026 (tested & compared)

4.4 on G2 (124 reviews)
📊 25+ marketing connectors
🕐 14-day free trial + Free forever plan

Porter Metrics is a no-code marketing reporting tool to measure marketing performance towards bottom-line, revenue and profit metrics across all your marketing channels, products, clients, and campaigns. No scripts or additional tools required. It connects your ad platforms (Meta Ads, Google Ads, TikTok Ads, LinkedIn Ads, Microsoft Ads), social media, SEO tools, CRMs (HubSpot, Klaviyo, ActiveCampaign), and e-commerce (Shopify, Amazon) to destinations like Looker Studio and Google Sheets, at a fraction of what Supermetrics charges.

Unlike Supermetrics and most competitors that charge per destination, Porter Metrics includes all destinations in every plan: Looker Studio, Google Sheets, Power BI, BigQuery, Slack, and Zapier. All plans include unlimited users, no additional usage fees, and +100 Looker Studio templates installable in one click.

Key differentiators:

• Automatic data blending: Porter combines data across all your connected sources automatically: dates, campaign names, UTM parameters, spend, impressions, clicks, conversions, and revenue are already unified. No table creation, no field mapping, no SQL. Used by +1,500 marketing teams in 60 countries.
• Best HubSpot and Shopify ETL integration: APIs from CRMs like HubSpot and e-commerce platforms like Shopify have strict rate limits (a limited number of requests per second). When a live connector tries to pull data directly from these APIs to build a report, it easily hits those limits: the report loads slowly, times out, or breaks entirely. Porter solves this by automatically managing backfills of historical data and storing them in a built-in BigQuery data warehouse. When you connect HubSpot or Shopify, Porter pre-loads and caches all your data so reports are fast and reliable from the start. With every other ETL tool on this list (Supermetrics, Windsor, Dataslayer), the user would need to set up their own BigQuery instance and manage that process manually. Funnel and Power My Analytics offer managed storage, but only on enterprise plans at much higher prices. Porter includes it on every plan.
• AI Workflow Builder for alerts, chat, and automation: A native Workflow Builder that lets you create marketing alerts and notifications using natural language, integrated natively with Slack and Zapier. Trigger alerts when a campaign overspends, traffic drops, or any metric crosses a threshold, all without code. Beyond alerts, Porter also lets you chat with your data using AI and automate tasks directly on your connected platforms (for example, pausing a Meta campaign, updating a Shopify product, or adjusting a Google Ads budget). Not just read your data: act on it.

You can also create custom metrics and dimensions using natural language (AI-powered), which are then written directly to your BigQuery table.

Porter Metrics Pricing (source: portermetrics.com/pricing, verified March 2026)

Pay per data source account. All destinations included. Price per account decreases as you add more.

1 account

$15/mo

$12.5/mo billed annually

2 accounts

$30/mo

All destinations included

5 accounts

$40/mo

Price per account decreases

BigQuery

Custom

Unlimited sources & queries

📖 Read more: Porter Metrics full review · Porter Metrics alternatives · Browse 100+ Looker Studio templates · YouTube tutorials

4.5 on G2 (74 reviews)
📊 590 connectors (121 on Starter plan)
🕐 Public pricing, but demo required to start

Funnel.io is the other market leader alongside Supermetrics in marketing data infrastructure. With $131M+ in funding (Balderton Capital, Eight Roads Ventures, Stena Sessan), ~$70M in estimated annual revenue, and ~400 employees, Funnel is the most well-funded tool on this list. It uses a data warehouse-first architecture: all your marketing data flows through Funnel's managed warehouse before reaching destinations like Looker Studio, Google Sheets, or your own BigQuery/Snowflake instance.

Key differentiators:

• Data warehouse-first architecture: All data is stored in Funnel's managed warehouse before being sent to destinations. This means Looker Studio and Google Sheets reports load significantly faster than direct API connectors, because the data is pre-cached. The tradeoff: there's always a delay (seconds to minutes) before new data is available, and there's no direct-to-API option for real-time freshness like Porter Metrics or Supermetrics live connectors offer.
• Visual data transformation layer: Funnel lets you map fields across sources, create table joins, build custom metrics, and normalize data (e.g., currency conversions) through a visual interface. However, this requires understanding data join/union logic: you need to know which fields to map, how tables relate, and how to structure your data model. It's a no-code tool, but it's built for technical marketers or data analysts, not for marketers who expect a plug-and-play experience.
• 590 connectors across 3 tiers: Likely the broadest connector coverage among marketing-focused tools (Starter: 121, Business: 579, Enterprise: 590). Part of why Funnel has so many integrations is that their high-value annual contracts allow them to build custom connectors for enterprise clients on demand, which then become available to other users. This is a model that only works at Funnel's price point.

Funnel.io Pricing (source: funnel.io/pricing, verified March 2026)

Funnel shows public starting prices but requires a demo to sign up. No self-service. Previously used a Flexpoints (usage-based) model, now uses fixed tier pricing. Annual contracts likely required.

Starter

~$200/mo

121 connectors · Demo required

Business

~$800/mo

579 connectors · Demo required

Enterprise

Custom

590 connectors · Dedicated support

📖 Read more: Funnel.io full review · Funnel.io alternatives

4.5 on G2 (84 reviews)
📊 325+ connectors · 15+ destinations
🕐 Free forever plan + 30-day trial

Windsor.ai is a no-code ETL tool for marketing data. Think of it as a simplified, much cheaper version of Fivetran focused on marketing. Founded in 2017 in Zurich, Switzerland, it was acquired by team.blue in January 2026 (a European digital services group valued at ~€5B that also owns Metricool). With ~30 employees and 5,000+ customers across 120 countries, Windsor has built 325+ connectors and 15+ destinations at a fraction of the cost of enterprise alternatives.

Note: Windsor.ai is often described online as a "marketing attribution software," but this is outdated. They originally started with multi-touch attribution in 2017 but pivoted to become a full ETL and data aggregation platform. Attribution is no longer their core focus.

Key differentiators:

• Ultra-competitive pricing at scale: As a bootstrapped company (now backed by team.blue), Windsor can keep prices far below VC-funded competitors. The Basic plan at $23/mo gives you 3 data sources and 75 accounts, which is a volume of accounts that would cost significantly more on Supermetrics or Funnel. The tradeoff is in data quality and stability (see cons).
• Native Power BI and Tableau integrations: Windsor is one of the few marketing data tools with direct integrations to both Power BI and Tableau. Most competitors (including Porter Metrics and AgencyAnalytics) don't offer native Tableau connectors. Windsor also has native MCP integrations for AI chat tools.
• External authentication for agencies: You can share a link with a client so they connect their own data sources without giving you login credentials. This is useful for agencies that need access to client accounts without managing passwords.

Windsor.ai Pricing (source: windsor.ai/pricing, verified March 2026)

Pricing is per data source and accounts. All connectors and destinations available on all plans. Monthly prices shown; annual billing saves ~15–20%.

Free Forever

$0

1 source · 1 account · 1 user · 5M MAR

Basic

$23/mo

3 sources · 75 accounts · 5 dest. tasks · Daily refresh

Standard

$118/mo

7 sources · 75 accounts · Unlimited dest. tasks · Hourly

Plus

$299/mo

10 sources · 200 accounts · 15-min refresh

Also available: Professional plan at $599/mo (14 sources, 500 accounts, 15-min refresh, no sync limitations). 30-day trial gives broader access before dropping to free tier limits.

📖 Read more: Windsor.ai full review · Windsor.ai alternatives

4.5 on G2 (370+ reviews)
📊 500+ connectors · 15+ destinations
🕐 Demo only (annual contracts)

Improvado is an enterprise marketing ETL platform with professional services built in. Founded in 2015 in San Diego, CA, it has ~100 employees and ~$34M in funding from Bessemer Venture Partners, Nexus Venture Partners, and 500 Startups. Its customers include Activision, ASUS, Chewy, Mattel, L'Oreal, Yamaha, and Monster Energy.

Improvado is built around six pillars: Connect (500+ sources), Extract (40,000+ metrics and dimensions with no limits on accounts or historical data), Load (multiple data warehouse destinations in parallel), Govern (campaign compliance monitoring), Transform (four different toolkits from SQL to natural language), and Discover (dashboards and AI-powered insights). The platform stores data internally in a ClickHouse data warehouse before loading it to customer destinations.

Unlike self-service tools on this list, Improvado operates as a technology + professional services package. Every plan includes a dedicated Customer Success Manager, onboarding, training, implementation, monthly calls, quarterly business reviews, and professional services credits (5 credits = 1 hour of expert time). Credits can be spent on custom connector development (50-100 credits), dashboard builds (150-500 credits), or managed services (20-800 credits/month).

Pricing context: Improvado does not publish prices. All plans are annual contracts, book-a-demo only. Based on a 2024 proposal made to a client, the list price for the Growth plan was $80,000/year ($6,667/month), with multi-year discounts bringing it to ~$34,000-$41,000/year (~$2,850-$3,400/month). All plans include unlimited connectors, unlimited accounts, and unlimited report types. This makes Improvado the most expensive tool on this list by far, but it bundles professional services that the others charge separately for or don't offer at all.

Key features:

• Marketing Common Data Model (MCDM): Pre-built transformation recipes that automatically normalize and map metrics across platforms into a unified schema. For example, "Cost" in Google Ads and "Spend" in Meta Ads become the same field automatically. Available recipes: Paid Social, Paid Search, Organic Social, SEO, eCommerce, Paid Ads + GA4 (joined via UTMs), Programmatic, Email Marketing, and Mobile Analytics. This is the enterprise equivalent of automatic data blending: instead of the user mapping fields manually, the MCDM handles it. The number of MCDM recipes included depends on the plan (1 on Growth, 2 on Advanced, 4 on Enterprise).
• Cerebro (Data Governance): An AI-powered compliance monitoring engine with 250+ pre-built rules. It scans campaigns across all platforms and enforces naming conventions (auto-detects patterns, flags violations, suggests AI-powered fixes, and syncs corrections back to ad platforms after approval). It also runs budget pacing (daily spend tracking with overspend/underspend alerts), campaign QA before launch (checks targeting, creative assignment, budget alignment), and KPI benchmarking (CPA and ROAS threshold alerts with anomaly detection). This is not just alerts: it is a full rule engine that can write corrections back to the ad platforms.
• Four transformation toolkits: (1) ANSI-SQL via dbt + GitHub for full technical control, (2) Natural language processing where you describe what you want and AI generates and executes the query, (3) MCDM pre-built recipes (described above), and (4) Professional Services where Improvado's team builds custom transformations for you. Teams can use all four simultaneously.
• AI Agent: A natural language chat interface for asking questions about marketing data, generating charts and dashboards from prompts, scheduling automated reports, and running anomaly detection. You can choose between OpenAI, Anthropic Claude, or Google Gemini as the underlying model. Only metadata (column and table names) is shared with the LLM. Actual marketing data stays within Improvado's secure perimeter (hosted on Microsoft Azure with ISO 27001, SOC 2, PCI DSS certifications).
• Insights & Action Pulse: AI-generated weekly performance summaries with predictive recommendations on where to increase or decrease spend. Tailored to specific KPIs at any granularity level (campaign, creative, channel). Included as 8 insight templates per plan.
• Custom connector development with SLA: Improvado builds new API connectors on request within 4 weeks of confirming feasibility (costs 50-100 credits per connector). Other providers on this list also build custom connectors, but Improvado formalizes this with contractual SLAs as part of the enterprise agreement.
• Workspaces: Physical data segregation for different departments, brands, regions, or clients. Data is isolated between workspaces but can be unified through cross-workspace transformations for organization-level reporting.

Improvado Pricing (source: improvado.io/pricing + 2024 proposal made to a marketing agency, verified March 2026)

No public prices. Annual contracts only, book-a-demo required. All plans include unlimited connectors, accounts, and report types. Pricing is volume-based (by rows/year), not by number of data sources. Professional services credits included (5 credits = 1 hour). Below are the three tiers with price context from a 2024 proposal made to a marketing agency.

Growth

~$3,400/mo*

200M rows/year · 2x daily sync · 1 MCDM recipe · 2 destinations · 240 credits/year · Managed BigQuery included

Advanced

~$5,000+/mo*

600M rows/year · 4x daily sync · 2 MCDM recipes · Unlimited destinations · 480 credits/year · 2 workspaces

Enterprise

Custom

1B rows/year · Custom sync · 4 MCDM recipes · Dedicated CSM · 960 credits/year · 24/7 support

*Estimated from a 2024 proposal made to a marketing agency (list price $80,000/year for Growth). Multi-year contracts negotiate 49-64% discounts. Actual prices vary by data volume, features, and contract length. Credit usage: custom connectors (50-100), dashboard builds (150-500), managed services (20-800/mo).

4.5 on G2 (277 reviews)
📊 62 integrations (tiered by plan)
🕐 Free plan available

Whatagraph is a marketing reporting platform with its own built-in dashboards, data blending, and a strong AI layer. Founded in 2015 by three brothers in Lithuania (now headquartered in Amsterdam), it has ~63 employees, ~$9.8M in funding (Inventure, Open Circle Capital), and ~2,500 customers. Whatagraph recently relaunched with a much more modern, AI-first interface, a significant upgrade from previous versions.

While Whatagraph can send data to Looker Studio and BigQuery, its focus is its own reporting platform. It competes with AgencyAnalytics for agency client reporting, but adds data blending and transformation features that make it closer to a hybrid between a reporting tool and a lightweight ETL. We've heard from people in the space that Whatagraph tried to move upmarket to compete with Funnel.io for enterprise clients, but hasn't been able to match the depth that dedicated ETL tools offer at that level.

Key differentiators:

• Whatagraph IQ, AI-first reporting: Their AI layer lets you create complete multi-tab reports from a text prompt, generate auto-updating performance summaries, build widgets conversationally, and auto-generate branded themes from a logo upload. On Boost plans and above, IQ+ adds self-healing widgets (auto-fixes broken metrics), custom AI dimensions, and personalized summaries with brand voice. This is one of the deepest AI integrations in any reporting tool on this list.
• Data blending with visual mapping: Whatagraph lets you create "source groups" to blend data across integrations and sync them to BigQuery. Like Funnel, you need to map fields and create table connections manually (it's not automatic like Porter Metrics), but the visual interface makes it more accessible than writing SQL.
• Generous free plan: 5 source credits, unlimited users, unlimited reports with Essential integrations. This is one of the most generous free tiers among reporting platforms, letting agencies test the product with real client data before committing.

Whatagraph Pricing (source: whatagraph.com/pricing, verified March 2026)

Whatagraph charges by source credits (1 credit = 1 connected platform account). Integrations are tiered: Essential (all plans), Advanced (Boost+), and Premium (Max only). Key Advanced/Premium integrations include HubSpot, Shopify, Salesforce, ActiveCampaign, BigQuery, Ahrefs, and Amazon Advertising.

Free

€0

5 source credits · Essential integrations · No white-label

Start

€249/mo

~$270/mo · 20 source credits · Essential integrations · Whatagraph IQ

Boost

€624/mo

~$675/mo · 50 source credits · White-label · Advanced integrations · IQ+

Max

Custom

100+ source credits · Premium integrations · Dedicated support

Annual billing saves ~20–35%: Start €199/mo, Boost €399/mo. Whatagraph's pricing page defaults to annual pricing.

📖 Read more: Whatagraph full review · Whatagraph alternatives

4.7 on G2 (417 reviews)
📊 85+ integrations
🕐 14-day free trial

AgencyAnalytics is a reporting platform (not an ETL tool or data connector) built specifically for marketing agencies. Founded in 2010 in Toronto, Canada, it's a bootstrapped, 100% employee-owned company with ~145 employees and an estimated ~$15.7M in annual revenue. Unlike Supermetrics or Porter Metrics, AgencyAnalytics is not a connector that sends data to Looker Studio or Google Sheets. It has its own built-in dashboard and reporting interface where agencies create, customize, and share reports with clients.

We've seen clients leave Porter Metrics and Looker Studio for AgencyAnalytics because it's significantly easier and more intuitive. These tend to be agencies that need simple, visual client reports and presentations, not teams that need custom metrics, deep data granularity, or cross-source transformations. For simple client reporting, AgencyAnalytics is genuinely one of the best options available.

Key differentiators:

• Easiest reporting experience for agencies: The interface is designed for non-technical agency marketers. You can build a white-labeled client report in minutes, with pre-built templates, drag-and-drop widgets, and Smart Reports that auto-generate in ~11 seconds. It's easier than Looker Studio, Whatagraph, or any BI tool on this list.
• Client portal with messaging: Clients get a branded login where they can view live dashboards, select date ranges, and chat directly with the agency team. The messaging integrates with Intercom, Zendesk, HubSpot, and HelpScout, so client communication stays centralized around the data instead of scattered across email threads. This is the closest thing to a "data intranet" for agency clients.
• Agency management beyond reporting: Everything is organized by client project: accounts, reports, dashboards, and a lightweight task management system. Also includes goal and budget tracking (monitor campaign spend vs. targets across channels), alerts (threshold-based notifications when metrics spike or drop), and industry benchmarks comparing client performance against medians from 150,000+ real campaigns.
• Built-in SEO tools: Includes rank tracking, site auditing, and backlink monitoring directly in the platform. Most competitors require separate SEO tools (SEMrush, Ahrefs) as data sources, while AgencyAnalytics has native SEO capabilities, available as an add-on (~$42/mo per 500 keywords).

AgencyAnalytics Pricing (source: agencyanalytics.com/pricing, verified March 2026)

Pricing is per client (1 client = 1 business you manage, regardless of how many accounts are connected). Annual billing saves ~20%.

Freelancer

$59/mo

5 clients · +$20/mo per extra client

Agency

$179/mo

10 clients · +$20/mo per extra client

Agency Pro

$349/mo

15 clients · +$20/mo per extra client

Enterprise

Custom

Dedicated success manager · SSO

Add-ons: Rank Tracker (~$42/mo per 500 keywords), Database Connectors (MySQL, BigQuery) at custom pricing.

📖 Read more: AgencyAnalytics full review · AgencyAnalytics alternatives

4.8 on G2 (295 reviews)
📊 51 connectors · 13 destinations
🕐 Free plan available

Dataslayer is the most direct Supermetrics clone on this list. Founded in 2020 in Madrid, Spain, it's a bootstrapped company with ~18 employees and an estimated ~$2M in annual revenue. Its pricing structure, plan tiers (3/7/10 data sources), per-destination model, and add-on system are nearly identical to Supermetrics, but at a lower price point. Where Supermetrics' Starter costs $37/mo, Dataslayer's starts at $39/mo with more accounts included. It scores an impressive 4.8/5 on G2 (295 reviews, 88% five-star), making it the highest-rated tool on this list.

Key differentiators:

• Cheaper Supermetrics alternative with the same structure: Dataslayer mirrors Supermetrics' pricing model (per data source + per account + per destination + add-ons) but at lower prices across every tier. If you're used to Supermetrics and just want to pay less for the same setup, Dataslayer is the most straightforward swap. The tradeoff: the product strategy is based on copying Supermetrics' model, not on original features or differentiation.
• API Query Manager: A technical feature that lets you create custom API queries and route data to Power BI, Tableau, or any platform that accepts API connections. This is more technical than drag-and-drop, but it gives Dataslayer broader destination coverage than what the standard connector list shows.
• Marketing Mix Modeling (Morpheus): A separate AI-powered product built on PyMC (Bayesian modeling) that measures the contribution of each marketing channel to sales and runs budget simulations. This is only useful for large brands spending $100,000+/month on ads. Most small and mid-size teams won't need it. Available as a custom-priced add-on.

Dataslayer Pricing (source: dataslayer.ai/new-pricing, verified March 2026)

Pricing mirrors Supermetrics' structure: per data source, per account, per destination, with add-ons. Only 1 core destination (Sheets, Looker Studio, Excel, or Power BI) per plan. Enterprise destinations (BigQuery, Snowflake, Redshift) have row limits. Bundle discounts: 10% for 2 destinations, 15% for 3+. Annual billing saves ~20%.

Starter

$39/mo

3 sources · 3 accounts · Daily refresh · 5K enterprise rows

Advanced

$139/mo

7 sources · 50 accounts · Hourly · 100K rows · Data blending + AI

Pro

$419/mo

10 sources · 100 accounts · Hourly + custom · 2M rows · Data blending + AI

Business

Custom

Custom sources · Custom rows · Dedicated support

Free plan available (1 connector, 1 account, 1 destination, manual refresh). Marketing Mix Modeling (Morpheus) available as a separate custom-priced product for large advertisers ($100K+/mo ad spend).

📖 Read more: Dataslayer full review · Dataslayer alternatives

4.8 on G2 (~100 reviews)
📊 400+ integrations · ~20 destinations
🕐 Free plan available

Coupler.io is a general-purpose workflow-based ETL tool (not marketing-specific) built by Railsware, a bootstrapped product studio from Poland/Ukraine (~200 employees, ~$17M in total revenue). Launched in 2019 as "Airtable Importer" for Google Sheets, it evolved into a full data integration platform with 400+ sources and ~20 destinations. Unlike Supermetrics or Porter Metrics which focus on marketing data, Coupler covers project management (ClickUp, Airtable, Asana), customer service (ServiceNow, Typeform), time tracking, and finance (QuickBooks, Xero, Stripe) alongside marketing platforms. SOC 2 certified and GDPR compliant.

Coupler works differently from marketing connectors like Porter Metrics or Supermetrics. Instead of drag-and-drop fields in a dashboard, the user builds data flows as workflows: connect a source, get a raw table, then manually filter, join (combine tables side by side), or append (stack tables on top of each other) to create the output you need. Each integration delivers independent tables per endpoint. This means the user has to understand data modeling concepts (join types, append logic, field mapping) to combine data across sources. In tools like Porter Metrics, this is already solved automatically: dates, campaigns, UTMs, and metrics across all sources are pre-combined without any configuration.

This workflow architecture is why Coupler has 400+ integrations: each connector is "lighter" because it just delivers raw tables from API endpoints without pre-building relationships between them. The tradeoff is more flexibility in what data you can pull, but more work for the user to make it useful.

Key differentiators:

• Broadest destination coverage on this list: Looker Studio, Power BI, Tableau, Google Sheets, Excel, BigQuery, Snowflake, PostgreSQL, Redshift, Monday.com, ClickUp, CSV, and API. The Monday.com and ClickUp integrations as destinations are unique (only Supermetrics also has Monday.com as a destination among the tools on this list).
• 400+ integrations (not marketing-specific): Covers CRM, project management, databases, finance, and more. If you need to pull data from non-marketing sources that other tools don't cover, Coupler likely has it.
• SOC 2 + GDPR compliant: Enterprise-grade compliance at a bootstrapped price point, similar to Windsor.ai.

Coupler.io Pricing (source: coupler.io/pricing, verified March 2026)

Pricing is per connected account (same definition as Porter Metrics: 1 account = 1 property/connection). Extra accounts cost $5.99/mo. Annual billing saves ~25%.

Starter

$32/mo

3 accounts · 1 destination · Daily · 5,000 rows/query · 1 user · AI analysis · Dashboard templates · NO data transformations

Active

$132/mo

15 accounts · 3 destinations · Daily · Unlimited rows · Unlimited users · Data transformations · NO automations

Pro

$259/mo

50 accounts · Unlimited destinations · Hourly · Automations (webhooks) · Workspaces · Account manager

Agency

Custom

Custom accounts · 15-min refresh · Dedicated support

Free plan available (1 account, 1 destination, 100 rows/query, manual refresh only). Additional accounts: $5.99/mo each.

4.6 on G2 (80 reviews)
📊 75+ connectors · 9 destinations
🕐 14-day free trial

Power My Analytics is a no-code marketing data connector founded in 2011 in Maitland, Florida. It's a bootstrapped company with ~15 employees, one of the oldest tools on this list. Originally built as an internal tool by a web analytics consulting agency, it grew into a standalone product. It holds ISO 27001 (2023) and SOC 2 (2024) certifications. PMA was a strong Supermetrics competitor 4–5 years ago, but tools like Porter Metrics, Dataslayer, and Windsor.ai have since surpassed it in pricing, data transformation, and feature depth. PMA remains strongest for US-based PPC and e-commerce teams that need reliable connectors to Looker Studio, Sheets, and Excel.

Key differentiators:

• Developer-friendly destinations: In addition to Looker Studio, Sheets, and Excel, PMA supports Amazon S3, FTP, Snowflake, SQL databases (Azure SQL, MySQL, PostgreSQL), and BigQuery. These destinations are more developer-oriented, but give PMA broader reach than most marketing connectors.
• Data Builder for blending: A no-code tool to combine data from multiple sources into a single table. However, it's limited: field selections are narrow (e.g., only ~20 GA4 metrics vs. 100+ available in the API), no pre-combined fields (unlike Porter Metrics where campaign/date fields are auto-matched), and date range options are rigid (28 days, 30 days, this week, etc., with no custom ranges).
• Sovereign Data Warehouse (Enterprise only): Enterprise clients can get a dedicated, isolated data warehouse where the client owns the data, rather than shared infrastructure. This is similar to Supermetrics' managed data warehouse on their Enterprise plan. Important for compliance but not available on standard plans.

Power My Analytics Pricing (source: powermyanalytics.com/pricing, verified March 2026)

Pricing is per account across all sources (not per source). Business plan limited to Looker Studio only. Pro unlocks Sheets + Excel. Enterprise/Custom for BigQuery, SQL, S3, Snowflake, FTP. Annual billing saves ~16%. Extra accounts: $14.95/each on Business, $4.95/each on Pro.

Business

$49.95/mo

5 sources · 5 accounts · Looker Studio only · 2 admins · 5 GBP locations

Pro

$199.95/mo

Unlimited sources · 10 accounts · Looker Studio + Sheets + Excel · 100 GBP locations

Enterprise

From $295/mo

All destinations (BigQuery, SQL, S3, Snowflake, FTP) · 100+ accounts · Sovereign DWH

Free plan available but uses sample data only (not real client data). Max accounts: Business 15 (~$200/mo), Pro 100 (~$645/mo). 50–100 AI Insights credits depending on plan.

📖 Read more: Power My Analytics full review · Power My Analytics alternatives

4.4 on G2 (193 reviews)
📊 130+ native integrations
🕐 Free plan + 14-day trial

Databox is a reporting and analytics platform with its own built-in dashboards, founded in 2012 in Boston, MA. It has ~160 employees, ~$5.3M in funding (Entree Capital, Founder Collective, Techstars), and ~1,600 customers. Unlike ETL tools that send data to external destinations, Databox wants to be the single source of truth for your business data: everything comes into Databox, and you build, analyze, and share reports inside their platform. It is the only tool on this list with separate plan tiers for businesses and agencies.

Databox has been around since 2012 and has accumulated many features: goal tracking, OKRs, AI analysis (Genie), client overviews for agencies, forecast modeling, and anomaly detection. As a legacy platform, it has made a significant effort to modernize its connectors, but the depth of each integration (number of fields, breakdown dimensions, flexibility for custom metrics) has historically been more limited than dedicated ETL tools. For example, ad creative breakdowns were added much later than competitors. For simple visual dashboards and goal tracking, Databox is excellent. When users need more flexible data combinations and custom reporting, an ETL solution tends to be superior.

Important pricing note: Databox defines "data source" differently than ETL tools. In Databox, 1 data source = 1 connection to 1 specific property (for example, one Google Analytics property or one Facebook Ads account). In ETL tools like Porter Metrics, Supermetrics, or Windsor, "data source" means the platform itself (Google Analytics as a whole), and "accounts" are the individual properties within it. This means Databox's "3 data sources included" is equivalent to "3 accounts" in ETL terminology, making direct price comparisons misleading if you don't account for this difference.

Key differentiators:

• Databases as data sources (not just destinations): Unlike most tools on this list that treat BigQuery, MySQL, and PostgreSQL as destinations to send data to, Databox treats them as sources to pull data from. Google Sheets and Excel are also available as sources. This means if you have external data in a database or spreadsheet that Databox's native connectors don't cover, you can still bring it in and combine it with your marketing data.
• Goal tracking and OKRs: Native goal and OKR tracking lets you set company, team, and individual objectives linked directly to live data from 130+ integrations. Progress updates automatically, with notifications when goals are on track, at risk, or off track. OKRs are only available on the Premium plan ($999/mo) or as an add-on ($200/mo).
• Genie (AI analyst): An AI chatbot that creates metrics, dashboards, and visualizations from text prompts. It analyzes trends, spots anomalies, explains performance drivers, and gives recommendations. Available on all paid plans. Currently in early access.
• Forecast modeling and anomaly detection: Unique among the tools on this list. Only available from the Growth plan ($499/mo) and up.
• Client overview for agencies: A dashboard that groups accounts by client for global monitoring. ETL tools can replicate this by combining data in a warehouse, but Databox offers a dedicated visual interface out of the box.
• Datasets (data transformation layer): Available from the Growth plan, Datasets let you create custom tables with raw data, apply filters, calculate new columns (metrics and dimensions), and drill down into the raw data behind any metric. This is Databox's answer to ETL-style data transformation, though it is more rigid than what dedicated ETL tools offer.

Databox Pricing for Businesses (source: databox.com/pricing, verified March 2026)

Pro and Growth plans start with 3 data sources; Premium includes 50 (remember: 1 data source = 1 account/property, not 1 platform). Extra sources cost $7/mo each. Separate agency plans available with lower per-source pricing ($2.40/mo each). Prices shown are monthly billing. Annual billing saves ~20%.

Free

$0

3 users · 3 sources · 1 dashboard · 10 custom metrics · Daily sync · API access

Pro

$199/mo

3 sources (+$7/ea extra) · Unlimited users/dashboards/metrics · Hourly sync · Genie AI · Reports · Goals · Spreadsheet imports

Growth

$499/mo

3 sources (+$7/ea extra) · Pro + Datasets (data transformation) · Data blending · Drill-downs · AI summaries · Forecast modeling · Anomaly detection

Premium

$999/mo

50 sources · 15-min sync · OKRs · White-label · Fiscal calendar · Advanced security · Dedicated specialist

Add-ons available on Pro/Growth: white-label ($250/mo), OKRs ($200/mo), dedicated specialist ($200/mo), advanced security ($100/mo), fiscal calendar ($50/mo), 15-min refresh ($18/mo).

Agency plans are priced separately and reward volume: extra data sources cost $2.40/mo each (vs $7/mo on business plans). Agency Starter includes 5 client accounts with client performance overview, scheduling, and Google Sheets from the first plan. Agency Pro adds unlimited client accounts and branding removal (white-label remains a paid add-on). This makes Databox significantly more competitive for agencies managing many accounts than the business pricing suggests.