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Tools/Evidence/vs Count
Evidence

Evidence

ai-analytics
vs
Count

Count

ai-analytics

Evidence vs Count — Comparison

Pain: 1/10020 integrations10 featuresSeed
Pain: 1/1008 integrations10 featuresSeries A
The Bottom Line

Evidence and Count both receive high ratings, consistently between 4.5 and 5 stars, indicating strong user satisfaction. Evidence excels in creating polished data products using SQL and markdown, while Count offers strong collaborative features for data analytics involving AI insights. Both tools are priced competitively with free tiers available.

Best for

Evidence is the better choice when creating interactive dashboards and embedding analytics in customer applications is critical, especially for smaller teams that prefer an open-source approach.

Best for

Count is the better choice when real-time collaboration and comprehensive data model building in a team environment are priorities, especially for larger teams requiring extensive integration options.

Key Differences

  • 1.Evidence is an open-source tool with seed funding of $2.2M and a company size of about 6 employees, while Count is proprietary with Series A funding of $5.0M and has around 15 employees.
  • 2.Evidence supports SQL and markdown for building data products, whereas Count uses SQL, Python, and charts to enable collaborative analytics.
  • 3.Evidence features AI Chat and automates data synchronization, emphasizing embedded analytics, while Count is focused on collaborative analytics with real-time teamwork capabilities.
  • 4.Pricing for Evidence includes usage-based and per-seat options starting at $15, while Count's tiered pricing offers options starting at $49.
  • 5.Evidence integrates with major databases like Snowflake and Postgres, whereas Count supports integrations with business tools like Slack, Salesforce, and Tableau.

Verdict

Evidence is ideal for small to mid-sized teams that need a robust, open-source analytics tool primarily designed for data visualization and report generation. Count, however, fits larger teams that require a collaborative environment to drive analytics projects with real-time integration and AI features. Choose based on team size, required features, and collaboration needs.

Overview
What each tool does and who it's for

Evidence

Evidence is an open source, code-based alternative to drag-and-drop BI tools. Build polished data products with just SQL and markdown.

Users generally rate "Evidence" highly, with multiple 4.5 and 5-star reviews on platforms like G2, highlighting its effectiveness and user satisfaction. Key strengths include its intuitive interface and reliable functionality. There are no significant complaints mentioned in the reviews or social mentions available, suggesting a positive user experience overall. The sentiment around pricing is not explicitly mentioned, but the strong ratings imply that users find it to be of good value.

Count

The only collaborative agentic analytics platform. Everything you need to make AI insights actionable, accurate, and actually useful.

Count has received high user praise on review platforms like g2, consistently achieving ratings around 4.5-5 out of 5, which speaks to its strong reputation for reliability and effectiveness. Users frequently highlight its comprehensive feature set and ease of use as major strengths. However, there were minimal mentions of any specific complaints in the available reviews and social discourse. The sentiment surrounding pricing is generally positive, with the value proposition seen as favorable. Overall, Count is viewed positively within its user community.

Key Metrics
4.8★ (3)
Avg Rating
4.8★ (20)
64
Mentions (30d)
52
Mention Velocity
How discussion volume is trending week-over-week

Evidence

-93% vs last week

Count

+52% vs last week
Where People Discuss
Mention distribution across platforms

Evidence

Reddit
83%
Lemmy
12%
YouTube
3%
Rss
1%
Hacker News
1%
Dev.to
1%

Count

Reddit
56%
Lemmy
31%
GitHub
4%
Rss
3%
YouTube
2%
Hacker News
2%
Community Sentiment
How developers feel about each tool based on mentions and reviews

Evidence

14% positive80% neutral6% negative

Count

14% positive76% neutral10% negative
Pricing

Evidence

usage-based + subscription + per-seat + tieredFree tier

Pricing found: $15, $25, $0.01 / credit, $0.01 / credit, $0.01 / credit

Count

tieredFree tier

Pricing found: $0, $49, $69

Use Cases
When to use each tool

Evidence (10)

Creating interactive dashboards for data visualizationGenerating publication-quality reports in markdownBuilding responsive data products for internal useEmbedding analytics in customer-facing applicationsAutomating data synchronization from various databasesValidating SQL and markdown syntax in real-timeUtilizing AI for documentation lookup and debuggingImplementing role-based access control for data securityOptimizing query performance with multi-level cachingCollaborating on data projects with version control

Count (8)

Collaborative data exploration and analysisBuilding complex data models step by stepCreating interactive reports and dashboardsReal-time collaboration on data insightsIdentifying business bottlenecks through data analysisIntegrating raw data from various apps and databasesDefining reusable logic for data queriesSharing live data insights via Slack or email
Features

Only in Evidence (10)

Trusted by Leading OrganizationsProfessional DesignSuperior PerformanceModern Dev ExperienceArticlesDashboardsData AppsAI ChatCustomer Embedded AnalyticsBusiness Reviews

Only in Count (10)

Clean, model, analyze and visualize in one place.Use SQL, Python and charts side by side.Lay out your work, add context, and build a narrative as you go.Build step by step, or let Count's agent take it further, faster.Every query, transformation and chart is fully editable and auditable.Go deeper with an agent that can run hundreds of analyzes in minutes.Collaborate in real time, right alongside your team.Review findings, challenge assumptions, and iterate together.Move from analysis to next steps - as a team.Spend vs. Revenue
Integrations

Only in Evidence (20)

SnowflakeBigQueryClickHousePostgreSQLMySQLMicrosoft SQL ServerOracle DatabaseMongoDBAmazon RedshiftAzure SQL DatabaseGoogle Cloud SQLIBM Db2SAP HANATeradataCassandraElasticsearchFirebaseRedisApache KafkaApache Spark

Only in Count (8)

SlackGoogle SheetsMicrosoft ExcelGitHubSalesforceZapierTableauLooker
Developer Ecosystem
20
npm Packages
—
5
HuggingFace Models
—
What Users Say
Top reviews from G2, Capterra, and TrustRadius

Evidence

What do you like best about Evidence?I love the user interface, I like the ability they give to their customers to customize almost everything about the look and feel of the popups and alerts, the widgets looks gorgeous! And it is pretty easy, simple and fast to implement in any site :) Review collected by and hosted on G2.com.What do you dislike about Evidence?I just wish the Evidence team could be even more active on the product updates, I mean they still continue rolling new updates to the platform however I don't feel like they're too much involved into this or at least not as quickly as I would personally prefer. Review collected by and hosted on G2.com.

5.0\u2605Edwyn A.g2

What do you like best about Evidence?It increase my conversion on the landing page by 20% Review collected by and hosted on G2.com.What do you dislike about Evidence?Have not found anything yet that I dislike Review collected by and hosted on G2.com.

5.0\u2605Ross W.g2

What do you like best about Evidence?What I really like about Evidence.io is how incredibly easy it makes adding engaging popup notifications to any website. Setting up the tracking pixel is straightforward—no coding required—and within minutes you can start running campaigns like displaying live visitor counts, special offers, or announcements. Review collected by and hosted on G2.com.What do you dislike about Evidence?It covers the basics really well, the platform focuses primarily on popups and notifications without broader marketing automation features, so you might still need other tools for email nurture or CRM integration. Review collected by and hosted on G2.com.

4.5\u2605Mark D.g2

Count

What do you like best about Count?I like how easy it is to pull data from different sources and bring it together into a comprehensive, easy-to-use dashboard. Also, having the ability to run SQL queries and Python scripts in one place makes things much easier and more flexible whenever we need to process data. Review collected by and hosted on G2.com.What do you dislike about Count?This tool has a bit of a learning curve, and you need to get past that before you can really see its full value. Review collected by and hosted on G2.com.

5.0\u2605Juan Ignacio P.g2

What do you like best about Count?I love that Count is flexible and easy to understand, especially for someone like me who is not an engineer. The canvas layout is visually helpful, which makes it really nice to work with. The team's great and very helpful, which I really appreciate. Most BI tools are unusable for someone like myself, but Count allows me to understand data without relying on others. The initial setup was very easy. Review collected by and hosted on G2.com.What do you dislike about Count?N/A Review collected by and hosted on G2.com.

5.0\u2605Tyler L.g2

What do you like best about Count?That I can look at visualisations but then easily jump into the underlying data in an understand way as a layman. The AI functionality is also helpful, it shows its workings and the data can be reviewed the same way as mentioned above. Review collected by and hosted on G2.com.What do you dislike about Count?What I dislike about the product probably stems from my own need for some basic training. Review collected by and hosted on G2.com.

5.0\u2605Ben T.g2
Pain Points
Top complaints from reviews and social mentions

Evidence

overspending (2)API costs (1)openai bill (1)cost tracking (1)large language model (1)llm (1)ai agent (1)claude (1)infrastructure cost (1)

Count

token usage (10)ai agent (4)token cost (4)anthropic (3)claude (3)API costs (3)$500 bill (3)API bill (2)openai (2)gpt (2)
Top Discussion Keywords
Most mentioned keywords from community discussions

Evidence

overspending (2)API costs (1)openai bill (1)cost tracking (1)large language model (1)llm (1)ai agent (1)claude (1)infrastructure cost (1)

Count

token usage (10)ai agent (4)token cost (4)anthropic (3)claude (3)API costs (3)$500 bill (3)API bill (2)openai (2)gpt (2)budget (2)raised (2)
Latest Videos
Recent uploads from official YouTube channels

Evidence

No YouTube channel

Count

Principles for Better Data Design: Draw Focus To What Matters Most

Principles for Better Data Design: Draw Focus To What Matters Most

Mar 9, 2026

Principles For Better Data Design: Using Context to Improve Comprehension

Principles For Better Data Design: Using Context to Improve Comprehension

Mar 9, 2026

Principles for Better Data Design: Organize & Stylize

Principles for Better Data Design: Organize & Stylize

Mar 9, 2026

How to Tell Better Data Stories: Utilizing the Three-Act Structure

How to Tell Better Data Stories: Utilizing the Three-Act Structure

Mar 9, 2026

Product Screenshots

Evidence

Evidence screenshot 1Evidence screenshot 2Evidence screenshot 3Evidence screenshot 4

Count

Count screenshot 1Count screenshot 2Count screenshot 3Count screenshot 4
What People Talk About
Most discussed topics from community mentions

Evidence

api26
open source22
scalability21
model selection20
support20
cost optimization20
streaming17
RAG17

Count

api52
scalability43
streaming43
open source41
cost optimization41
support37
security36
deployment36
Top Community Mentions
Highest-engagement mentions from the community

Evidence

X Users Find Their Real Names Are Being Googled in Israel After Using X Verification Software “Au10tix”

X Users Find Their Real Names Are Being Googled in Israel After Using X Verification Software “Au10tix” Alan Macleod On January 30, the Department of Justice released its latest tranche of 3.5 million documents relating to Jeffrey Epstein. Years of emails, texts, and images were suddenly in the public

Lemmyby andybytespositive source

Count

X Users Find Their Real Names Are Being Googled in Israel After Using X Verification Software “Au10tix”

X Users Find Their Real Names Are Being Googled in Israel After Using X Verification Software “Au10tix” Alan Macleod On January 30, the Department of Justice released its latest tranche of 3.5 million documents relating to Jeffrey Epstein. Years of emails, texts, and images were suddenly in the public

Lemmyby andybytespositive source
Company Intel
information technology & services
Industry
information technology & services
6
Employees
15
$2.2M
Funding
$5.0M
Seed
Stage
Series A
Supported Languages & Categories

Only in Evidence (4)

DevOpsSecurityAnalyticsDeveloper Tools

Only in Count (5)

analyticsdata visualizationbusiness intelligencedashboardsdata modeling
Frequently Asked Questions
Is Evidence or Count better for real-time collaboration?▼

Count is better suited for real-time collaboration, offering features like Slack integration and real-time team analytics.

How does Evidence pricing compare to Count?▼

Evidence offers a more flexible pricing model with usage-based and subscription options starting at $15, while Count's pricing starts at $49 with tiered options.

Which has better community support, Evidence or Count?▼

Evidence has a slightly smaller community given its open-source nature, while Count, with more funding and users, likely has broader community-driven support.

Can Evidence and Count be used together?▼

While specific integration isn't mentioned, theoretically, they could complement each other by using Evidence for building data products and Count for collaborative analysis.

Which is easier to get started with, Evidence or Count?▼

Evidence might offer a faster start due to a simpler interface through SQL and markdown, whereas Count may require more setup but provides team-based collaborative features.

View Evidence Profile View Count Profile