The top Dataslayer alternatives in 2026 are Porter Metrics, Supermetrics, Funnel.io, Windsor.ai, Coupler.io, Power My Analytics, and AgencyAnalytics. Teams move away from Dataslayer because of its limited connector library (~25 connectors vs. 150+ on Supermetrics), a restrictive free plan (1 account, manual refresh, Looker Studio only), and enterprise features like BigQuery and data warehouse destinations locked behind higher-tier plans. Most alternatives listed here offer broader connector coverage, more destinations, and more generous free tiers, with entry prices ranging from $15 to $200/month.
Quick answer — Best Dataslayer alternatives in 2026
- Porter Metrics — Best overall for marketing teams and agencies (from $15/mo)
- Supermetrics — Largest connector library with 150+ integrations (from $37/mo)
- Funnel.io — Best for enterprise data normalization (from ~$200/mo)
- Windsor.ai — Multi-touch attribution with 300+ connectors (from $19/mo)
- Coupler.io — Best for ETL to Google Sheets and spreadsheets (from $49/mo)
- Power My Analytics — Best for US PPC agencies using Looker Studio (from $49.95/mo)
- AgencyAnalytics — Best white-label client reporting for agencies (from $79/mo)
All tools tested hands-on. Pricing verified March 2026. Jump to full comparison →
Disclosure: I’m Juan, founder of Porter Metrics, a Dataslayer alternative with 6+ years in the market. Every claim in this article is based on public data and verifiable facts so you can make an objective comparison.
Why look for a Dataslayer alternative
Marketing teams switch from Dataslayer because of the following issues:
Dataslayer offers ~25 connectors compared to 150+ on Supermetrics, 590 on Funnel.io, and 300+ on Windsor.ai. If you need data from a platform Dataslayer doesn’t cover, you’re out of options
the free plan is limited to 1 account, manual refresh only, and Looker Studio as the sole destination. Enterprise features (BigQuery, Snowflake, Redshift) require higher-tier plans with strict row limits (5K rows/mo on Starter)
Dataslayer has no built-in data warehouse. For BigQuery or Snowflake destinations, you need to set up and manage your own infrastructure, which usually requires a data engineer
Dataslayer was founded in 2020 in Madrid, Spain. It’s a bootstrapped company with ~18 employees and an estimated ~$2M in annual revenue. Its pricing structure mirrors Supermetrics (3/7/10 data sources, per-destination model, add-on system) but at a lower price point. It scores an impressive 4.8/5 on G2 (295 reviews, 88% five-star), making it one of the highest-rated tools in this category.
To be fair, Dataslayer has real strengths: it’s cheaper than Supermetrics at every tier while mirroring the same pricing structure, has excellent G2 ratings (4.8/5), and offers a free forever plan. The issues that drive users away are about connector coverage, feature depth, and infrastructure limitations, not price or user satisfaction.
1. Limited connector library
Dataslayer offers approximately 25 connectors, which is the smallest library among the tools compared in this article. For context:
- Supermetrics offers 150+ connectors across marketing, analytics, and CRM platforms
- Funnel.io offers 590 connectors with the broadest marketing-specific coverage
- Windsor.ai offers 300+ connectors with multi-touch attribution
- Coupler.io offers 400+ integrations covering marketing, CRM, project management, and finance
If you need data from platforms beyond the major ad networks (Meta Ads, Google Ads, LinkedIn Ads, TikTok Ads) and analytics tools, Dataslayer likely won’t cover it. Porter Metrics also has a focused connector library (~25 connectors), but compensates with built-in BigQuery storage, automatic data blending, and 50+ Looker Studio templates on all plans.
2. Restrictive free and entry-level plans
Dataslayer’s free plan is among the most limited in this category:
| Plan | Monthly | Annual | Sources | Accounts | Key limits |
|---|---|---|---|---|---|
| Free | $0 | $0 | 1 | 1 | Manual refresh · Looker Studio only · 1 user |
| Starter | $39/mo | $35/mo | 3 | 3 | Daily refresh · 5K enterprise rows/mo |
| Advanced | $139/mo | $115/mo | 7 | 50 | Hourly refresh · 100K enterprise rows/mo · AI + blending |
| Pro | $419/mo | $345/mo | 10 | 100 | Hourly refresh · 2M enterprise rows/mo |
Compare this with Porter Metrics’ free plan: 3 accounts (vs. 1), all destinations included (vs. Looker Studio only), unlimited users, and 30-day data history. Or Coupler.io’s free plan: 100 rows/run with any connector.
3. No managed storage
Dataslayer relies entirely on direct API calls with no data warehouse layer. This means:
- Connectors for APIs with strict rate limits (Shopify, HubSpot) can be slow or fail for large datasets
- Enterprise destinations (BigQuery, Snowflake, Redshift) have strict row limits: 5K rows/mo on Starter, 100K on Advanced, 2M on Pro
- Users must set up and manage their own BigQuery instance for warehouse features, which typically requires a data engineer
- No automatic data backfill management — historical data must be manually configured
Porter Metrics includes built-in BigQuery storage on all plans, automatically manages backfills, and stores data so reports stay fast and reliable. Funnel.io also offers a managed data warehouse, though only on enterprise plans.
Dataslayer versus alternatives: quick comparison
Below is a side-by-side look at how each alternative stacks up against Dataslayer on the factors that matter most: pricing, connectors, free tier availability, and user ratings.
| Tool | Best for | Starting price | Connectors | Free plan | G2 Rating |
|---|---|---|---|---|---|
| Budget ETL with high user satisfaction | $39/mo | ~25 | Yes | 4.8/5 | |
| Marketing teams and agencies on Looker Studio, Sheets, or BigQuery | $15/mo | 25+ | Yes | 4.7/5 | |
| High-volume ETL to warehouses and spreadsheets | $37/mo | 150+ | No | 4.3/5 | |
| Enterprise data normalization and governance | ~$200/mo | 590 | No | 4.5/5 | |
| Multi-touch attribution on a budget | $19/mo | 300+ | Yes | 4.5/5 | |
| ETL workflows to Google Sheets and spreadsheets | $49/mo | 400+ | Yes | 4.9/5 | |
| US PPC agencies on Looker Studio | $49.95/mo | 75+ | Sample only | 4.6/5 | |
| White-label client reporting for agencies | $79/mo | 85+ | No | 4.7/5 |
G2 ratings as of March 2026. Pricing is monthly, billed monthly. Annual billing saves 15-20% on most tools.
Pricing comparison
Free forever plans
Multiple data connector platforms provide permanent free tiers beyond just trial periods. Here is how they stack up:
| Platform | Connectors | Accounts | Users | Destinations | Key Limitation |
|---|---|---|---|---|---|
| Any | 3 | Unlimited | All | 30-day data history | |
| 1 source | 1 | 1 | 1 | 5M MAR limit | |
| Any | 1 | 1 | 1 | No auto-refresh · 100 rows/run · 1 active data flow |
* Dataslayer also offers a free plan (1 connector, 1 account, manual refresh, Looker Studio only) but is not listed here as it is the incumbent tool.
All plans and pricing models
Each tool uses a different pricing model. This table shows the entry, mid, and top plan as published on each tool’s pricing page. Prices are monthly (billed monthly) unless noted.
| Tool | Pricing model | Entry | Mid | Top / Enterprise | Free plan | Trial |
|---|---|---|---|---|---|---|
| Per source + per account + per destination | $39/mo Starter: 3 sources, 3 accounts, 1 dest, daily |
$139/mo Advanced: 7 sources, 50 accounts, hourly, AI + blending |
$419/mo Pro: 10 sources, 100 accounts, hourly + custom |
Yes | 15 days | |
| Per data source account. All destinations, users, and features included | $15/mo 1 account, all destinations, all features |
$40/mo 5 accounts, all destinations |
Custom BigQuery, unlimited sources |
Yes | 14 days | |
| Per destination + per source + per account + per user | $37/mo Starter: 3 sources, 1 dest, weekly refresh |
$199/mo Growth: 7 sources, 1 dest, daily refresh |
$499/mo+ Pro/Enterprise: 10+ sources, BigQuery, custom metrics |
No | 14 days | |
| Per connector tier. Annual contracts | ~$200/mo Starter: 121 connectors |
~$800/mo Business: 579 connectors |
Custom Enterprise: 590 connectors, dedicated support |
No | 14 days | |
| Per data sources + accounts + destination tasks | $19/mo Basic: 3 sources, 75 accounts, 5 dest. tasks |
$99/mo Standard: 7 sources, 75 accounts, unlimited tasks |
$249/mo Plus: 10 sources, 200 accounts, unlimited tasks |
Yes | 30 days | |
| Per account ($5.99/ea extra). Workflow-based ETL | $49/mo Starter: 3 accounts, 1 dest, daily, 5K rows/query |
$132/mo Active: 15 accounts, 3 dests, daily, unlimited rows |
$259/mo Pro: 50 accounts, unlimited dests, hourly |
Yes | 7 days | |
| Per account (across all sources). Extra: $14.95/ea (Business), $4.95/ea (Pro) | $49.95/mo Business: 5 sources, 5 accounts, Looker Studio only |
$199.95/mo Pro: unlimited sources, 10 accounts, Looker + Sheets + Excel |
From $295/mo Enterprise: all destinations, 100+ accounts, Sovereign DWH |
Sample data only | 14 days | |
| Per client campaign. Own platform only | $79/mo Freelancer: 5 clients |
$179/mo Agency: 10 clients |
$349/mo Agency Pro: 15 clients |
No | 14 days |
Prices as of March 2026. Billed monthly unless noted. Annual billing typically saves 15-20%.
Price vs. data sources: tools with per-source pricing
This chart compares tools that charge per data source. Porter Metrics is excluded because it charges per connected account, not per data source. Dataslayer is excluded as the incumbent. Bubble size = accounts included.
Integrations: Connectors and destinations
| Tool | Connectors | Destinations |
|---|---|---|
| ~25 | 13 | |
| 25+ | 4 | |
| 150+ | 19 | |
| 590 | 28 | |
| 300+ | 15+ | |
| 400+ | ~20 | |
| 75+ | 9 | |
| 85+ | Own platform + 3 |
Connector counts are based on each tool’s official integrations page.
Destinations across tools
Where each tool can deliver your data. Reporting tools (AgencyAnalytics) have their own built-in dashboards, so the destinations concept works differently for them.
| Tool | Data Visualization | Spreadsheets | Data Warehouse / Database | |||||
|---|---|---|---|---|---|---|---|---|
Snowflake |
||||||||
| ✓ | ✓ | — | ✓ | ✓ | ✓ | ✓ | ✓ | |
| ✓ | ✓ | — | ✓ | — | ✓ | — | — | |
| ✓ | ✓ | — | ✓ | ✓ | ✓ | ✓ | ✓ | |
| ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| ✓ | — | — | ✓ | ✓ | ✓ | ✓ | — | |
| ✓ | — | — | ✓ | ✓ | — | — | — | |
Based on each tool’s official documentation. Some destinations may require higher-tier plans.
Features to look for
Beyond connectors and destinations, these capabilities set marketing data tools apart. Most platforms offer some version of these, but depth and plan availability differ significantly.
Data blending
Combining data from multiple sources into a single view. For example, merging Meta Ads spend with Shopify revenue to calculate ROAS, or combining Google Ads and LinkedIn Ads to see total ad spend by campaign. Without blending, you’d need to manually join data in spreadsheets or SQL.
Data transformations
Custom metrics, calculated fields, renamed dimensions, and formulas applied to your data before it reaches the destination. This lets you clean, fix, or enrich raw data without touching a spreadsheet. Examples: creating a “Cost per Lead” metric from spend / conversions, or renaming campaign UTMs to readable names.
Built-in storage
Some APIs (like Shopify or HubSpot) return large datasets that need a data warehouse to work properly. Tools with built-in storage handle this for you. Tools without it require you to set up your own BigQuery or Snowflake instance, which usually means involving a data engineer.
Alerts and notifications
Automated messages when something changes: a campaign overspends, traffic drops, or a data sync fails. Can be delivered via email, Slack, or in-app. Useful for catching issues before they show up in a weekly report.
AI features
Natural language queries (“show me top campaigns last week”), AI-generated summaries, anomaly detection, and forecast modeling. These are becoming standard across tools, though the depth varies. Some offer full AI analysts, others just a query builder.
API access
A programmatic way to pull or push data from the tool itself. With AI coding tools like Claude Code and Cursor, any marketer can now connect a tool’s API to their own workflows and AI agents, no developer required. A well-documented API is becoming essential.
The 7 best Dataslayer alternatives in 2026
Porter Metrics 
Cross-Channel Marketing Reports & AI Automation
Porter Metrics is a no-code marketing reporting platform that measures marketing performance tied to bottom-line revenue and profit metrics across all channels, products, clients, and campaigns. It connects 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.
Unlike Dataslayer where data blending and AI features require the Advanced plan ($139/mo), Porter Metrics delivers automatic data blending on all plans. 50+ Looker Studio templates are installable in one click, and built-in BigQuery storage is included without requiring separate infrastructure setup.
- All destinations included on every plan (Looker Studio, Sheets, Power BI, BigQuery, Slack, Zapier) — Dataslayer charges per destination and limits enterprise destinations by row count
- Automatic data blending across sources: dates, campaign names, UTM parameters, spend, impressions, clicks, conversions, and revenue are unified automatically. Dataslayer requires manual field mapping and only offers blending from the Advanced plan ($139/mo)
- Built-in BigQuery storage on all plans with automatic backfill management. Dataslayer has no built-in storage — users must set up their own BigQuery and deal with row limits (5K/mo on Starter)
- All Meta Ads conversion attribution windows in a single connection
- 50+ Looker Studio templates, the largest gallery in the market. Dataslayer has no pre-built report templates
- AI Workflow Builder for alerts, notifications, and task automation via Slack and Zapier
- Used by 1,500+ marketing teams in 60+ countries
- Free plan includes 3 accounts (vs. 1 on Dataslayer), all destinations (vs. Looker Studio only), and unlimited users
- Similar connector count to Dataslayer (~25 connectors). If you need broader coverage, Supermetrics (150+), Funnel.io (590), or Coupler.io (400+) offer more
- Fewer destinations than Dataslayer: no Tableau, no Snowflake, no Redshift. Supports Looker Studio, Google Sheets, Power BI, and BigQuery
- Built exclusively for marketers. Not a general-purpose data pipeline
- No SQL editor. Everything is managed through natural language and visual interface
- Not SOC2 Type 2 certified yet. Porter offers NDAs and client-owned BigQuery as alternatives
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.
📖 Read more: Porter Metrics full review · Browse 50+ Looker Studio templates · YouTube tutorials
Supermetrics 
Market-Leading Data Connector
Supermetrics is the market leader in marketing data connectors with ~$89M in annual revenue. With 150+ connectors and 19 destinations, it offers 6x the connector coverage of Dataslayer. Supermetrics supports Looker Studio, Google Sheets, BigQuery, Snowflake, Power BI, and Excel. Trustpilot score: 1.8/5.
- 150+ connectors, 6x the coverage of Dataslayer. If a connector exists, Supermetrics likely has it
- 19 destinations including Monday.com (unique feature shared only with Coupler.io)
- MCP connector for AI chats, allowing direct data queries from AI assistants
- Established market leader with mature product and extensive documentation
- Each plan includes only 1 destination. Adding more costs $37-$187/mo per destination. Costs scale quickly for multi-destination setups
- Data transformations (custom metrics, custom dimensions) only available on Enterprise plan
- 1.8/5 on Trustpilot. Customer support response times from days to weeks according to G2 reviews
- No free plan. 14-day trial is the only way to test before committing
Supermetrics Pricing (source: supermetrics.com/pricing, verified March 2026)
Pricing depends on destination, data sources, accounts, and users. Each plan includes 1 destination. Annual billing saves ~20%.
📖 Read more: Supermetrics full review · Supermetrics alternatives
Funnel.io 
Enterprise Marketing ETL
Funnel.io is a market leader in marketing data infrastructure with $131M+ in funding and ~400 employees. It employs a data warehouse-first architecture: all marketing data flows through Funnel’s managed warehouse before reaching destinations. With 590 connectors, it offers 23x the connector coverage of Dataslayer.
- 590 connectors across 3 tiers, the widest marketing-specific coverage on this list
- Data warehouse-first architecture: all data is stored before reaching destinations, so reports load faster than direct API connectors
- Visual transformation layer: map fields, create joins, custom metrics, and normalize data (e.g., currency conversions) without code
- GDPR compliant and SOC2 certified
- Managed data warehouse included, no separate BigQuery setup needed
- Most expensive alternative on this list: starts at ~$200/mo, likely requires annual contracts
- Not plug-and-play: setting up connections requires mapping fields to tables and configuring joins
- No real-time data due to warehouse-first architecture
- $131M+ in VC funding creates pressure to grow revenue. Customers report price increases at renewal
- Enterprise-focused: pricing and complexity are designed for large teams, not SMBs
Funnel.io Pricing (source: funnel.io/pricing, verified March 2026)
Funnel shows public starting prices but requires a demo to sign up. Annual contracts likely required.
📖 Read more: Funnel.io full review
Windsor.ai 
Multi-Touch Attribution + ETL
Windsor.ai is a multi-touch attribution and data connector platform founded in 2017 in Zurich, Switzerland. Acquired by team.blue in January 2026 (a European digital services group valued at ~€5B that also owns Metricool). With ~30 employees and 300+ connectors, Windsor offers 12x the connector coverage of Dataslayer at a lower starting price ($19/mo vs. $39/mo). SOC2 + HIPAA compliant.
- 300+ connectors, 12x the coverage of Dataslayer, at a lower starting price ($19/mo vs $39/mo)
- Multi-touch attribution built in: measures channel contribution to conversions across the customer journey. Dataslayer has no attribution features
- Free plan includes 1 source, 1 account, 5M monthly attributed records
- SOC2 + HIPAA compliant, meeting enterprise security requirements
- 75 accounts included on Basic plan ($19/mo) vs. 3 accounts on Dataslayer Starter ($39/mo)
- Interface requires data modeling knowledge: users must choose schemas, select fields, and map them to destinations manually
- Connectors can break or return inconsistent data, especially under heavy BigQuery usage
- Raw data output requires SQL knowledge to clean and structure
- Limited data backfill options: scheduling only allows pulling 60 days or 6 months of historical data to BigQuery
- No pre-built report templates or dashboard gallery
Windsor.ai Pricing (source: windsor.ai/pricing, verified March 2026)
Pricing based on data sources, accounts, and destination tasks.
📖 Read more: Windsor.ai full review
Coupler.io 
General-Purpose Data Automation
Coupler.io is a general-purpose workflow-based ETL tool built by Railsware. Unlike Dataslayer which focuses on marketing data, Coupler covers project management (ClickUp, Airtable, Asana), customer service (ServiceNow, Typeform), time tracking, and finance (QuickBooks, Xero, Stripe) alongside marketing platforms. 400+ sources, ~20 destinations, SOC 2 certified and GDPR compliant. Scheduling and data transformations included from the Active plan ($132/mo).
- 400+ integrations, 16x the coverage of Dataslayer, across marketing, CRM, project management, and finance
- Broadest destination coverage: Looker Studio, Power BI, Tableau, BigQuery, Snowflake, Redshift, PostgreSQL, Monday.com, ClickUp, and more
- SOC 2 certified and GDPR compliant at a bootstrapped price point
- Free plan available (1 account, 1 destination, 100 rows, manual refresh)
- User must model data from scratch: each integration delivers raw, independent tables requiring manual joins and appends
- Starter plan ($49/mo) capped at 5,000 rows per query. No data transformations until Active ($132/mo)
- Not marketing-specific: no report templates, no automatic campaign/UTM matching, no pre-combined cross-channel metrics
- Automations (webhooks) only available on Pro plan ($259/mo)
Coupler.io Pricing (source: coupler.io/pricing, verified March 2026)
Pricing per connected account. Extra accounts cost $5.99/mo. Annual billing saves ~25%.
Power My Analytics 
US-Focused PPC & E-commerce
Power My Analytics is a no-code marketing data connector founded in 2011 in Maitland, Florida. Bootstrapped with ~15 employees, it’s one of the oldest tools on this list. ISO 27001 + SOC 2 certified. With 75+ connectors (3x Dataslayer’s coverage), PMA is strongest for US-based PPC and e-commerce teams needing Looker Studio, Sheets, and Excel connectors. Strong for Google Business Profile (GBP) and PPC data.
- 75+ connectors with strong US PPC and e-commerce coverage, 3x Dataslayer’s connector count
- Developer-friendly destinations: Amazon S3, FTP, Snowflake, SQL databases, and BigQuery
- Sovereign Data Warehouse (Enterprise only): dedicated, isolated data warehouse where the client owns the data
- ISO 27001 + SOC 2 certified
- Automatic backfill of historical data upon connection
- Business plan ($49.95/mo) only gives access to Looker Studio. Sheets and Excel require Pro at $199.95/mo
- 5 accounts total on Business plan (not per source), extra accounts cost $14.95 each
- Free plan is sample data only (demo dashboards), not usable for real business data
- API access locked to Enterprise plan (contact sales)
- Data Builder is limited: GA4 shows ~20 metrics (vs. 100+ in the API)
Power My Analytics Pricing (source: powermyanalytics.com/pricing, verified March 2026)
Pricing per account across all sources. Business plan limited to Looker Studio. Annual billing saves ~16%.
📖 Read more: Power My Analytics full review
AgencyAnalytics 
Agency Client Reporting
AgencyAnalytics is a reporting platform (not an ETL tool) built for marketing agencies. Founded in 2010 in Toronto, Canada, it’s bootstrapped, 100% employee-owned with ~145 employees and ~$15.7M in annual revenue. It has its own built-in dashboard and reporting interface where agencies create, customize, and share reports with clients. 85+ integrations, white-label on all plans, pricing per client.
- Easiest reporting interface for agencies: pre-built templates, drag-and-drop widgets, Smart Reports that auto-generate in ~11 seconds
- Client portal with integrated messaging: clients log into a branded dashboard and chat directly with the agency
- Built-in goal/budget tracking, alerts, and industry benchmarks (150,000+ campaigns)
- Built-in SEO tools: rank tracking, site auditing, and backlink monitoring (~$42/mo add-on)
- Pricing per client, not per account: 1 client with 5 connected accounts = 1 client
- 100% employee-owned, bootstrapped, aligned incentives with customers
- Not a data connector: data lives inside AgencyAnalytics only. You can’t send it to Looker Studio, BigQuery, or your own warehouse
- Limited data granularity: tables only allow breakdown by one dimension at a time
- No data transformation capabilities: no custom dimensions, no regex, no calculated fields
- Extra clients cost $20/mo each beyond included clients
- No free plan. 14-day trial only
AgencyAnalytics Pricing (source: agencyanalytics.com/pricing, verified March 2026)
Pricing per client. Annual billing saves ~20%.
📖 Read more: AgencyAnalytics full review
Not sure which tool fits your needs?
Read our guide on how to choose a marketing reporting tool, or check out the Dataslayer full review to understand what you’re comparing against.
If you’re already using Looker Studio, browse our 100+ free Looker Studio templates to get started in minutes.
Frequently asked questions
Porter Metrics (free plan, 3 accounts, all features, 30-day history), Windsor.ai (free, 1 source, 1 account, 5M MAR), and Coupler.io (free, 100 rows/run, 1 account). Adveronix offers a free Google Sheets add-on with connectors for Facebook Ads, Instagram Insights, and Facebook Pages.
For Looker Studio, keep your existing report template and swap out the data source connections with your new tool’s connectors. Field names may differ between tools, so some remapping is expected. For Google Sheets, rebuild your queries using the new tool’s syntax. For BigQuery pipelines, table schemas vary between tools, so downstream SQL queries will need updating. At Porter Metrics, we handle migration end-to-end: our team migrates your dashboards, remaps fields, and validates data at no extra cost.
Porter Metrics (native Looker Studio connectors, 50+ pre-built templates, automatic data blending), Supermetrics (150+ connectors, largest library), and Power My Analytics (strong for US PPC and GBP data). All three offer direct Looker Studio integration without requiring a data warehouse.
Porter Metrics, Supermetrics, and Windsor.ai support Google Sheets as a destination. Coupler.io specializes in ETL to Sheets with scheduling and transformations. Coefficient (free plan, 100+ integrations, two-way sync) and Awesome Table (35+ connectors, from $16/mo) are Google Sheets add-ons for pulling live data into spreadsheets.
For BigQuery: Porter Metrics (built-in managed BigQuery storage on all plans), Supermetrics (Enterprise plan), and Windsor.ai. For Snowflake and Redshift: Funnel.io, Supermetrics, and Coupler.io. For general-purpose ETL: Fivetran (700+ connectors), Stitch (140+ sources), and Airbyte (open-source option).
Porter Metrics (white-label reports, agency templates, multi-client monitoring, pricing per account), AgencyAnalytics (all-in-one client reporting platform, per-client pricing from $79/mo), and DashThis (drag-and-drop dashboards, 30+ integrations, from $49/mo, unlimited users). For enterprise agencies managing large ad budgets, Funnel.io offers deeper ETL pipelines.
Dataslayer is cheaper than Supermetrics at every tier ($39/mo vs. $37/mo entry, but Dataslayer includes 3 accounts vs. 3 on Supermetrics) and has higher G2 ratings (4.8/5 vs. 4.3/5). However, Supermetrics has 6x the connectors (150+ vs. ~25), more destinations (19 vs. 13), and a more mature product. Choose Dataslayer if you only need the major ad connectors and want to save money. Choose Supermetrics if you need broader connector coverage.

Snowflake




