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DoubleCloud
3D · 6.8K monthly visits

DoubleCloud was a fully managed platform for building high-performance data analytics infrastructure. It offered managed open-source services like ClickHouse, Kafka, and Airflow, along with tools for data integration and real-time visualization. Designed for engineers, it automated maintenance tasks to accelerate product development. Please note: DoubleCloud has ceased operations.

VS
Upsolve AI
Business Intelligence · 7.9K monthly visits

Upsolve AI is an embedded Generative Business Intelligence (GenBI) platform that enables SaaS companies to integrate AI-powered, hyper-personalized analytics dashboards directly into their products. It allows end-users to interact with data using natural language, providing actionable insights and a seamless, self-service data experience without requiring extensive development resources.

DoubleCloud vs Upsolve AI: pricing, features, traffic, and use cases

Compare DoubleCloud and Upsolve AI across positioning, pricing, traffic, and user feedback using structured factual data.

Updated Aug 5, 2026

Product overview

DoubleCloud Product overview

DoubleCloud was a fully managed platform for building high-performance data analytics infrastructure. It offered managed open-source services like ClickHouse, Kafka, and Airflow, along with tools for data integration and real-time visualization. Designed for engineers, it automated maintenance tasks to accelerate product development. Please note: DoubleCloud has ceased operations.

Preview

Upsolve AI Product overview

Upsolve AI is an embedded Generative Business Intelligence (GenBI) platform that enables SaaS companies to integrate AI-powered, hyper-personalized analytics dashboards directly into their products. It allows end-users to interact with data using natural language, providing actionable insights and a seamless, self-service data experience without requiring extensive development resources.

Preview

Detailed feature comparison

FeatureDoubleCloudUpsolve AI
Primary category3DBusiness Intelligence
Added2025-09-252025-09-06
PricingPaidPaid
Official websitedouble.cloudupsolve.ai
Product typeWebsiteWebsite
Performance data
User ratingNot verifiedNot verified
Comments00
Monthly visits6.8K7.9K
Monthly growth-28.9%-29.1%
Favorites8997
DetailsView detailsView details

DoubleCloud vs Upsolve AI monthly traffic

Compare DoubleCloud and Upsolve AI by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.

How to interpret the traffic data

In the DoubleCloud vs Upsolve AI monthly traffic comparison, DoubleCloud currently shows 6.8K visits and Upsolve AI shows 7.9K; Upsolve AI has about 1.2 times the visible traffic of DoubleCloud, an absolute difference of about 1.1K visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

DoubleCloud monthly traffic:

Latest traffic

Monthly visits
6.8K
Avg. visit duration
0:36
Pages per visit
1.95
Bounce rate
35.23%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 7.8K Monthly visits
  • 2026/1: 14.2K Monthly visits
  • 2026/2: 10.3K Monthly visits
  • 2026/3: 10.5K Monthly visits
  • 2026/4: 9.6K Monthly visits
  • 2026/5: 6.8K Monthly visits

Top regions

Top 5 countries/regions
Country/regionPercentageTraffic
🇷🇺Russia35.1%2.4K
🇺🇸United States26.85%1.8K
🇮🇳India23.86%1.6K
🇨🇭Switzerland10.02%686
🇵🇰Pakistan4.17%285

Search keywords

airflow managedapache druid vs clickhouseclickhouseclickhouse change user passworddoublecloud clickhouse

Upsolve AI monthly traffic:

Latest traffic

Monthly visits
7.9K
Avg. visit duration
0:32
Pages per visit
1.67
Bounce rate
42.96%
Data updated 2026-06-11

Monthly traffic trend

  • 2025/9: 21.9K Monthly visits
  • 2026/1: 21.1K Monthly visits
  • 2026/2: 17.1K Monthly visits
  • 2026/3: 14.9K Monthly visits
  • 2026/4: 11.2K Monthly visits
  • 2026/5: 7.9K Monthly visits

Top regions

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States58.04%4.6K
🇮🇳India17.43%1.4K
🇬🇧United Kingdom11.69%928
🇩🇪Germany7.93%630
🇨🇦Canada4.91%390

Search keywords

procurement style dashboardupsolveupsolve aiupsolve loginwhoare the competitors of embeddable and have ai features like copilot power bi
Traffic-based selection guidance: The current traffic scope is not sufficient for a reliable product ranking. Treat monthly visits as a market-interest signal, then decide using taxonomy, use cases, pricing, and a like-for-like trial rather than reading exposure as product capability.

Usage comparison

Compare the core capabilities of DoubleCloud and Upsolve AI

DoubleCloud Core features

Business Intelligence
3D
Infrastructure

Upsolve AI Core features

Business Intelligence
Data Visualization
Embedded Analytics

Use cases

DoubleCloud Use cases

data analytics
data visualization
airflow
ClickHouse
cloud platform
data infrastructure
devops
ELT
kafka
Managed Services
real-time analytics

Upsolve AI Use cases

data analytics
data visualization
business intelligence
customer-facing analytics
dashboard
embedded analytics
generative bi
natural language query
SaaS tools

Best suited roles

DoubleCloud Best suited roles

Data Analyst
Product Manager
Software Developer
Data Engineer
DevOps Engineer
Software Architect

Upsolve AI Best suited roles

Data Analyst
Product Manager
Software Developer
CTO
SaaS Founder

DoubleCloud vs Upsolve AI:In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

This in-depth DoubleCloud vs Upsolve AI comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. DoubleCloud is primarily listed under “3D”, while Upsolve AI is primarily listed under “Business Intelligence”, so the first decision is whether your actual task matches their recorded scope.

The structured fields currently show these decision-relevant differences: Primary category (DoubleCloud: 3D; Upsolve AI: Business Intelligence); Monthly visits (DoubleCloud: 6.8K; Upsolve AI: 7.9K); Monthly growth (DoubleCloud: -28.9%; Upsolve AI: -29.1%); Favorites (DoubleCloud: 89; Upsolve AI: 97); Website (DoubleCloud: double.cloud; Upsolve AI: upsolve.ai). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

In the DoubleCloud vs Upsolve AI monthly traffic comparison, DoubleCloud currently shows 6.8K visits and Upsolve AI shows 7.9K; Upsolve AI has about 1.2 times the visible traffic of DoubleCloud, an absolute difference of about 1.1K visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

The current traffic scope is not sufficient for a reliable product ranking. Treat monthly visits as a market-interest signal, then decide using taxonomy, use cases, pricing, and a like-for-like trial rather than reading exposure as product capability.

Product positioning, use cases, and roles

DoubleCloud and Upsolve AI currently overlap in shared categories: Business Intelligence; shared tags: data analytics and data visualization; shared roles: Data Analyst, Product Manager, and Software Developer. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

DoubleCloud's unique categories/tags are 3D, Infrastructure, airflow, ClickHouse, cloud platform, data infrastructure, devops, and ELT; Upsolve AI's are Data Visualization, Embedded Analytics, business intelligence, customer-facing analytics, dashboard, embedded analytics, generative bi, and natural language query. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.

What ratings, comments, and favorites can tell you

DoubleCloud has no verified rating, 0 comments, 89 favorites, and 94 likes;Upsolve AI has no verified rating, 0 comments, 97 favorites, and 93 likes。

Neither product has enough rating or comment samples for a credible reputation ranking.

Selection guidance by actual need

When to evaluate DoubleCloud first

Put DoubleCloud on the priority trial list when the task aligns with “3D” and especially 3D, Infrastructure, airflow, ClickHouse, cloud platform, and data infrastructure, or the users include Data Engineer, DevOps Engineer, and Software Architect. This follows recorded positioning and does not imply unlisted capabilities are absent.

DoubleCloud also currently records: pricing is paid, product type is website, 6.8K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

When to evaluate Upsolve AI first

Put Upsolve AI on the priority trial list when the task aligns with “Business Intelligence” and especially Data Visualization, Embedded Analytics, business intelligence, customer-facing analytics, dashboard, and embedded analytics, or the users include CTO and SaaS Founder. This follows recorded positioning and does not imply unlisted capabilities are absent.

Upsolve AI also currently records: pricing is paid, product type is website, 7.9K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

How to validate the recommendation before deciding

The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in DoubleCloud and Upsolve AI, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.

Comparison FAQ

How should I choose between DoubleCloud and Upsolve AI?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.

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