Why marketing and data teams are switching from Rivery to Windsor.ai

✅ Windsor connects to 325+ data sources vs ~200+ with Rivery

✅ Transparent, flat pricing from $19/month with clear usage allowances, so you can plan everything ahead

✅ Built-in MCP server to send data to LLMs (ChatGPT, Claude, and more) for AI-powered insights

✅ Supports all major destinations: databases, data warehouses, data lakes, spreadsheets, and BI tools

Try Windsor.ai Free Book a Demo

300,000+ marketers and data teams choose Windsor as their go-to Rivery alternative

Why Windsor.ai is the top Rivery alternative: feature comparison

Feature

Windsor.ai

Rivery

Starting price

$19/month(Includes 5M MAR for database destinations)

Not disclosed(Getting a quote requires talking to sales)

Pricing model

Flat pricing plans(Every plan has clear included MAR and source/account capacity)

Usage-based BDU credit pricing(Mixed per-byte and per-execution billing; total cost depends on data volume and sync frequency)

Supported data sources

325+

200+

Supported destinations

✅ Databases, data warehouses, BI tools, spreadsheets, and AI/LLM endpoints(BigQuery, Snowflake, Redshift, Azure, Databricks, Looker Studio, Power BI, Sheets, Excel, ChatGPT, Claude and more)

❌ Limited to databases, data warehouses, data lakes(Focus on warehouse/lake destinations such as BigQuery, Snowflake, Databricks, etc.; reporting requires external integrations)

Ease of use

✅ No-code, marketer-friendly interface(Simple no-code flows, pre-built templates; suitable for ops and marketing teams without heavy engineering support)

❌ No-code UI but deeper setup can be complex(Orchestration and advanced transformations require extensive tech expertise, which can be a hurdle for marketing teams)

Transformation capabilities

✅ Essential in-app transformations(Create custom fields, blend data, and apply advanced options and filters right in the app with drag and drop)

✅ Complex built-in transformations(Supports SQL and Python transformations with configurable persistence, plus conditions and loops to orchestrate end-to-end workflows)

MCP server for AI insights

✅ Free Windsor MCP: connect data to ChatGPT, Claude, and other LLMs (Get AI-powered answers, visual summaries, and reports in your favorite AI chat)

❌ Not available

Customer support

✅ 24/7 support (Get instant support via chat, email, or tickets or book a demo call with data expert)

✅ Live support via Slack (Good customer support, especially for troubleshooting)

Free forever plan

✅ Yes, after 30-day free trial

❌ No, only a 14-day free trial

G2 rating

⭐ 4.6

⭐ 4.7

Windsor vs Rivery: Real use cases, real savings

Solo Project

1 destination (BigQuery)
2 data sources (Facebook Ads, Google Ads)
Daily

You choose...

Windsor.ai

You can cover all these needs with the Basic plan for $19/month.

Rivery

Delays insights as you need to talk to sales to get a quote. The final cost depends on data volume and the number of pipeline runs.

Key benefit

Know your monthly cost upfront and extract insights in less than 5 minutes, instead of spending time on negotiations and guessing costs.

Marketing agency

3 destinations (Looker Studio, BigQuery, Databricks)
75 accounts
Hourly refresh

You choose...

Windsor.ai

Select the Standard plan for $99/month and automate ELT/ETL pipelines to all three destinations (and more) from a single platform.

Rivery

Is not possible with Rivery as the platform doesn’t support BI destinations; you must configure dashboards separately via the warehouse.

Key benefit

Feed both your warehouses and BI dashboards from one tool, instead of juggling Rivery integrations plus external BI connections.

Enterprise

Multiple db destinations (BigQuery, S3, Redshift, etc.)
10+ data sources
Near real-time refresh

You choose...

Windsor.ai

With our Pro plan for $499/month, you get up to 14 data sources, 500 accounts, 15-min refresh, and all destinations included.

Rivery

Costs rise quickly with growing data volume; near real-time syncs are allowed only on the Enterprise plan (requires a custom quote from sales.)

Key benefit

Benefit from enterprise-level features at a fixed monthly price, without RPU-based surprises as usage grows.

What customers say about their switch from Rivery to Windsor:

“With Windsor, you pick a plan and know the price upfront. With Rivery, pricing felt unpredictable: we were paying for every bit of data transferred and hesitated to add more accounts, which slowed down our growth.”

Simpler pricing

Windsor clearly shows what’s included on each plan: MAR, sources, accounts, and sync frequency. Rivery’s usage-based billing is unpredictable from month to month.

More connectors out of the box

Windsor supports 325+ sources across marketing, sales, analytics, CRM, and more, compared to ~200+ with Rivery, covering broader reporting and analytics use cases.

For marketers and data teams

Rivery is great for data engineers but heavy for non-technical teams, while Windsor’s no-code UI and pre-built templates let both marketers and data engineers work in one tool.

BI and AI destinations

Windsor supports downstream analytics with direct BI and AI integrations, so teams can turn raw data into insightful dashboards in a single workflow; no extra workarounds needed.

Faster time to value

With self-serve onboarding and built-in BI integrations, Windsor delivers insights and business value much faster than Rivery’s sales-led, database-focused model.

Windsor is trusted by 5,000 global businesses of all sizes and industries

About Windsor

Windsor.ai provides no-code ELT/ETL connectors that automatically pull data from 325+ marketing, sales, CRM, e-commerce, and accounting apps.

Stream your data to spreadsheets, BI tools, data warehouses, and databases without writing a single line of code.

Build fully automated pipelines with schema matching, scheduled refreshes, incremental loading, and simple in-app transformations.

Over 300,000 data professionals in 134 countries use Windsor.ai to create a single source of truth.

Forget CSVs. Stop copy-pasting. Sync your data in 2 minutes.

Our customer success stories

How Kueski replaced fragmented, manual reporting with Windsor.ai’s automated data integration into BigQuery and improved attribution accuracy with algorithmic MTA.

Hours saved per week from manual data gathering and reporting

15+

Created a single source of truth in BigQuery for all marketing channels

14+

Read case study

How Omnicom Media Group Hong Kong fast-tracks omnichannel reporting with Windsor.ai’s Google-native data pipelines.

Implemented full version control and auto-detection of schema changes across a vast number of ad accounts

1.9K

Hours saved per week from manual CSV exports and App Script maintenance

40+

Read case study

How kreativkarussell replaced fragmented, manual reporting processes with a scalable, automated data pipeline by implementing Windsor.ai's native Looker Studio connectors.

Hours saved per week from manual data aggregation, transformation, and reporting

25+

Data is automatically ingested from multiple platforms and fed into Looker Studio dashboards that refresh every

12 hrs

Read case study

How a Finnish digital agency connected all its marketing and CRM data into a single BigQuery warehouse and real-time Tableau dashboards with Windsor.ai.

Connected several data sources in a single BigQuery project

Reduced reporting time through a fully automated ELT pipeline by

80%

Read case study

How a renowned resort company in the Asia Pacific region boosted ROI by uncovering the hidden power of upper-funnel media channels with Windsor.ai.

Data-backed media allocation increased ROI by

28%

Ad channels connected for cross-platform insights

Read case study

How a global retail giant centralized web and app data across all stores to automate reporting, boost productivity, and enhance campaign performance.

Unified distributed marketing data from global stores

1647

Hours of manual work saved every week

40+

Read case study

How a Danish engineering giant boosted marketing ROI by unifying media, analytics, and CRM touchpoints in a centralized BigQuery data warehouse and Power BI dashboards using Windsor.ai ELT platform.

Understanding CRM revenue contribution down to a keyword and ad level helped to increase the ROI by

35%

Aggregated data from multiple marketing channels and business tools

Read case study

How a British loudspeaker manufacturer boosted ROI by aligning media costs with revenue across all channels using Windsor.ai data integration software.

Connecting marketing costs to attributed revenue across channels helped boost ROAS by

32%

Identifying ineffective campaigns and reallocating budgets to high-performing channels reduced waste by

79%

Read case study

How an Australian Google Premier Partner integrated performance marketing and CRM data using Windsor.ai to cut cost per opportunity and drive more qualified leads for clients.

Decreased the CPA of clients’ campaigns by

19%

Cut time spent on media reporting and optimization by

50%

Read case study

How iProspect connected CRM and analytics data with Windsor.ai to unlock full-funnel attribution and cut reporting time in half.

Got operational savings just two weeks after deployment, equal to

1 FTE

Reduced manual data aggregation, transformation, and reporting tasks by over

50%

Read case study

How one of Indonesia’s top coffee e-commerce brands unified all marketing data using Windsor.ai to achieve complete transparency into ad spend and performance.

Reduced time spent on manual data integration and reporting by over

50%

Improved conversion tracking accuracy by

85%

Read case study

How the global leader in creative media education used Windsor.ai to connect analytics and CRM data to map the full customer journey — reducing cost per enrollment and boosting lead volume.

Reduced cost per enrolment by

22%

Increased lead volume by

25%

Read case study

How a popular Swiss credit card issuer unified siloed marketing data and cut the cost per lead by half with Windsor.ai data connectors.

Optimized cost per lead by

47%

Unified all marketing spend and performance data

100%

Read case study

How a leading Singaporean ISP maximized ROI by accurately evaluating channel efficiency and reallocating budget to top-performing campaigns with Windsor.ai.

Increased the number of signups by more than

45%

Reduced the overall cost per signup by

48%

Read case study

How the maker of the original Swiss Army Knife connected all their marketing data with Windsor.ai—cutting wasted spend and boosting global sales.

Gained full ROI visibility across multiple channels

Return on ad spend has increased by

67%

Read case study

How a global school brand connected cross-channel data using Windsor.ai and more than doubled student online applications in just one year.

The quality of leads increased in the range of

21-28%

The annual number of student applications grew

Read case study

How a popular German home improvement online shop used Windsor.ai to integrate multi-channel data for product-level ROAS measurement and data-driven budget optimization across EU markets.

Unified ROAS view across multiple marketing channels

Reduced manual time spent calculating true ROAS by

25%

Read case study

How Windsor.ai helped a global investment firm unify cross-channel data, eliminate attribution bias, and reduce cost per acquisition through centralized, real-time marketing analytics.

Reduced overall marketing CPA by

41%

Automated data refresh latency minimized to

1 hr

Read case study

How comprehensive data integration through Windsor.ai empowered a top Swiss culinary brand to optimize marketing ROI by over 16%.

Data-driven insights increased ROI by

16%

End-to-end ELT pipeline that automatically syncs cross-channel data every

12 hrs

Read case study

How a top Swiss car importer unified CRM and web analytics data with Windsor.ai, eliminating data silos and unlocking cross-channel insights.

Unified fragmented data from multiple platforms

Cut attribution reporting time by

60%

Read case study

How a global online travel agency group unified affiliate marketing data streams and streamlined financial reporting using Windsor.ai data integration platform.

Unified all affiliate data sources

100%

Reduced reporting workload by

60%

Read case study

FAQs

How is Windsor.ai different from Rivery?

Windsor.ai provides data connectors for 325+ data sources, directly supports BI and AI destinations, and offers flat pricing plans. Rivery focuses more on warehouse/lake destinations with a usage-based BDU credit model, where costs depend on data volume and sync frequency.

Is Windsor.ai cheaper than Rivery?

Windsor has transparent, flat plans (e.g., $19, $99, $499/month) with clearly defined sync frequency, MAR for databases, and a fixed number of sources and accounts. Rivery’s BDU credit pricing is usage-based and usually requires a sales quote, so costs can rise quickly as data volume and pipeline runs increase. In many scenarios, Windsor delivers similar outcomes at a significantly lower and more predictable monthly fee.

What destinations does Windsor.ai support that Rivery doesn’t?

Both tools support major data warehouses like BigQuery, Snowflake, Redshift, Databricks, and databases. Windsor goes further by also providing direct integrations with BI tools and spreadsheets (Looker Studio, Power BI, Tableau, Sheets, Excel), plus AI/LLM endpoints, so you can feed dashboards and AI chats from the same platform without extra glue tools.

Who is Windsor.ai best suited for compared to Rivery?

Rivery is great for data engineers who need complex orchestration and SQL/Python transformations. Windsor.ai is designed for both marketers and data teams: a no-code, marketer-friendly UI, pre-built templates, and essential in-app transformations make it an ideal fit for non-technical users, while engineers get solid ELT functionality.

Can Windsor.ai handle complex transformations like Rivery?

Rivery is widely used for advanced SQL/Python workflows with conditions and loops. Windsor offers essential in-app transformations, like creating custom fields, blending data, and applying filters, and lets you push data into warehouses where you can run any additional SQL or dbt models you need.

Does Windsor.ai offer a free plan?

Yes. Windsor.ai provides a 30-day free trial and then a Forever Free plan, so you can keep a small setup running at no cost. Rivery offers only a limited 14-day trial with no ongoing free usage.

What's the process of migrating from Rivery to Windsor.ai?

Most teams can replicate their Rivery pipelines in Windsor by reconnecting sources, selecting the same destinations, and configuring schedules and MAR usage. Windsor’s team can help with schema mapping, incremental loading, and BI/AI connector setup so you can keep your existing dashboards with minimal changes. Book a Demo for Migration Support Now.

Stop overpaying for Rivery’s data connectors. Try Windsor.ai today with a 30-day free trial

Start for Free Book a Demo