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Tools/Mode/vs Count
Mode

Mode

ai-analytics
vs
Count

Count

ai-analytics

Mode vs Count — Comparison

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

Count and Mode are both powerful collaborative analytics platforms with robust feature sets. Count has a higher average user rating of 4.8/5 from 20 reviews, reflecting its strong reputation for reliability and ease of use. Mode, though with fewer reviews, also performs well with an average rating of 4.2/5 across 3 ratings, but users have noted a steeper learning curve for its advanced functionalities.

Best for

Mode is the better choice when diverse data analysis requirements necessitate the integration of SQL, R, and Python for business intelligence and performance evaluation.

Best for

Count is the better choice when real-time team collaboration on data insights and step-by-step data model building are priorities.

Key Differences

  • 1.Count offers real-time collaboration features directly within the platform, allowing teams to review and iterate on data insights together, whereas Mode focuses more on providing a wide range of analytics capabilities across different programming languages.
  • 2.Count supports integration with popular tools like Slack and Salesforce, making it flexible for different business environments, while Mode's integrations include key data warehouses such as Google BigQuery and Amazon Redshift.
  • 3.Pricing for Count is more transparent, with details available for tier levels ($0, $49, $69), whereas Mode's pricing details are not explicitly outlined in the data.
  • 4.With a workforce of ~15 employees, Count operates on a smaller scale compared to Mode's ~53 employees, which could imply differences in customer support capacity and service levels.
  • 5.Mode's blend of SQL, R, and Python integration may appeal to teams looking for diverse technology support, whereas Count's single-platform solution emphasizes narrative building and collaborative exploration.

Verdict

Count is preferable for teams seeking a collaborative environment with an emphasis on real-time data exploration and narrative-building capabilities. Mode is suited for enterprise-level analytics where advanced integration across SQL, R, and Python is essential. Both tools are reliable, but the choice should depend on the specific analytics needs and team collaboration requirements of the organization.

Overview
What each tool does and who it's for

Mode

Mode is a collaborative data platform that combines SQL, R, Python, and visual analytics in one place. Connect, analyze, and share, faster.

User reviews for Mode are generally positive, highlighting its ease of use and powerful data analysis features as key strengths, reflected in two 4.5/5 ratings and one 3.5/5 rating on G2. However, some users express dissatisfaction with the learning curve required to master advanced functionalities. There is limited information on specific pricing sentiment for Mode, but its overall reputation remains solid among data professionals seeking robust business intelligence tools. Pricing details are not specifically mentioned in the provided data excerpts.

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
4.2★ (3)
Avg Rating
4.8★ (20)
92
Mentions (30d)
52
Mention Velocity
How discussion volume is trending week-over-week

Mode

-47% vs last week

Count

Stable week-over-week
Where People Discuss
Mention distribution across platforms

Mode

Reddit
87%
Rss
4%
GitHub
3%
Dev.to
2%
Hacker News
2%
YouTube
1%

Count

Reddit
71%
Lemmy
21%
GitHub
3%
Rss
2%
YouTube
1%
Hacker News
1%
Community Sentiment
How developers feel about each tool based on mentions and reviews

Mode

6% positive93% neutral1% negative

Count

10% positive84% neutral6% negative
Pricing

Mode

tiered

Count

tieredFree tier

Pricing found: $0, $49, $69

Use Cases
When to use each tool

Mode (10)

Data-driven decision makingBusiness performance analysisMarketing campaign analysisSales forecastingCustomer behavior analysisFinancial reportingOperational efficiency trackingProduct performance evaluationData team collaborationExecutive dashboards

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 Mode (10)

SQL query executionAd hoc analysis capabilitiesSelf-service reporting toolsIntegration of SQL, R, and PythonData visualization toolsCentralized data hubRapid query iterationUser-friendly interfaceCurated data accessFast implementation time

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

Shared (7)

TableauLookerZapierSlackGitHubSalesforceMicrosoft Excel

Only in Mode (13)

Google BigQueryAmazon RedshiftSnowflakePostgreSQLMySQLMicrosoft SQL ServerJupyter NotebooksStripeSegmentMixpanelHubSpotZendeskGoogle Analytics

Only in Count (1)

Google Sheets
What Users Say
Top reviews from G2, Capterra, and TrustRadius

Mode

What do you like best about MODE?1.Advanced analytics capabilities 2.Advanced reporting 3. Great visualization Review collected by and hosted on G2.com.What do you dislike about MODE?1. Higher cost as compared to similar products in the market Review collected by and hosted on G2.com.

4.5\u2605Rahul R.g2

What do you like best about MODE?It was helpful to speed up process and bringing all services together Review collected by and hosted on G2.com.What do you dislike about MODE?I didn't have any at the moment but I will share soon if any Review collected by and hosted on G2.com.

4.5\u2605JAYAKUMAR M.g2

What do you like best about MODE?Mode is very handy in terms of easy access and share results among colleagues. People from the same team can easily see the underlying query. It also offer different charts for visualization. Refresh is also very easy (you just need to hit one button or you can schedule a refresh at your preferred time) Review collected by and hosted on G2.com.What do you dislike about MODE?Compared to Tableau, it lacks some advanced functions. Like calculated fields. So if you want to see the results grouped by different granularity, you have to do them in a separate query. There is also no dynamic filtering. Another thing that is not convenient is that if you refresh the report and it is not successful, it will show you the blank error report instead of the previous successful run or having any options to choose which successful run you would like to see. Review collected by and hosted on G2.com.

3.5\u2605Verified User in Computer Softwareg2

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

Mode

token usage (10)llm (8)claude (8)large language model (8)ai agent (7)openai (7)token cost (7)API costs (5)anthropic (5)pricing (4)

Count

token usage (18)ai agent (4)token cost (4)surprise bill (3)anthropic (3)claude (3)API costs (3)$500 bill (3)API bill (2)openai (2)
Top Discussion Keywords
Most mentioned keywords from community discussions

Mode

token usage (10)llm (8)claude (8)large language model (8)ai agent (7)openai (7)token cost (7)API costs (5)anthropic (5)pricing (4)raises (4)gpt (4)

Count

token usage (18)ai agent (4)token cost (4)surprise bill (3)anthropic (3)claude (3)API costs (3)$500 bill (3)API bill (2)openai (2)gpt (2)budget (2)
Latest Videos
Recent uploads from official YouTube channels

Mode

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

Mode

Mode screenshot 1Mode screenshot 2Mode screenshot 3Mode screenshot 4

Count

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

Mode

model selection54
api36
cost optimization32
documentation27
scalability27
open source26
data privacy23
RAG23

Count

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

Mode

Claude Code Unpacked : A visual guide

Related ongoing threads:<p><i>The Claude Code Source Leak: fake tools, frustration regexes, undercover mode</i> - <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=47586778">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=47586778</a> - March 2026 (406 comments)<p><i>Claude Code&#x27;

Hacker Newsby autocracy101neutral 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
53
Employees
15
$279.4M
Funding
$5.0M
Merger / Acquisition
Stage
Series A
Supported Languages & Categories

Only in Mode (3)

SecurityAnalyticsDeveloper Tools

Only in Count (5)

analyticsdata visualizationbusiness intelligencedashboardsdata modeling
Frequently Asked Questions
Is Count or Mode better for collaborative data exploration?▼

Count is better for collaborative data exploration due to its dedicated features for real-time collaboration and narrative building.

How does Count pricing compare to Mode?▼

Count offers a clear tiered pricing model with a free tier and paid options at $49 and $69, while Mode's specific pricing details are not provided in the excerpt.

Which has better community support, Count or Mode?▼

Count appears to benefit from a highly engaged user community with consistent high ratings, suggesting good community support, while Mode's community engagement details are less provided.

Can Count and Mode be used together?▼

Yes, both tools offer integrations with platforms like Slack and Tableau, allowing for potential joint workflows depending on user needs.

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

Count may be easier to get started with due to higher user praise for ease of use, whereas Mode has been noted to have a steeper learning curve for advanced features.

View Mode Profile View Count Profile