Mode Analytics
Both editors and viewers count toward your seat total, so a 5-person analytics team giving dashboard access to 20 marketing managers pays for 25 seats — roughly $22,500 a year on Pro, not the $4,500 a 5-person calculation would suggest.
What is Mode Analytics?
Mode Analytics, founded in 2013 and now part of ThoughtSpot's portfolio (also covered elsewhere in this directory), is a SQL-first analytics and collaborative reporting platform combining a cloud-based SQL editor, collaborative Python and R notebooks, interactive visualizations, and shareable, auto-updating live reports and dashboards. Its genuinely distinctive technical feature is Helix, an in-memory data engine that automatically streams query results into its own database — an on-demand data extract designed for filtering and manipulating results faster than connecting a BI tool directly to a full-scale data warehouse. Developers can build parameters, queries, and dashboards, then embed the finished white-label analytics into their own applications via JavaScript or iFrame in just a few minutes, making Mode a real option for customer-facing embedded analytics, not just internal reporting. The platform integrates with a genuinely broad set of data warehouses and third-party tools — Amazon Athena, Databricks, Impala, MemSQL, Fivetran, Permutive, Oracle, and more — and serves more than 4,000 organizations across finance, healthcare, food, media, and retail. Real user feedback describes it as straightforward for data analysis, querying, and dashboard creation specifically for those already comfortable with SQL, though some reviewers note real lag in fetching data and editing notebooks, plus real time delays between data warehouse changes occurring and reflecting inside Mode.
The genuinely important, specific pricing detail worth understanding clearly before scaling access across a team: Mode counts both editors AND viewers toward your total seat count, and this compounds cost in a real, easy-to-underestimate way. A concrete, worth-knowing example: a five-person analytics team on the Pro plan (roughly $75 per user per month, billed annually) that wants to give dashboard viewing access to 20 marketing managers across the organization isn't paying for just those 5 editors — they're paying for all 25 total seats, roughly $22,500 a year, rather than the $4,500 a 5-person-only calculation might initially suggest. The free tier, while genuinely offering unlimited queries and 5 editor seats, is real limited elsewhere: just 3 data sources and 10 reports total, with scheduled reports running at most once daily — three data sources barely covers a typical marketing stack (an ad platform, a CRM, and web analytics all at once), and 10 reports won't support real campaign-level visibility across multiple channels, making the free tier genuinely suitable for proof-of-concept testing but not production analytics. Enterprise pricing runs custom, typically starting around $150 per user monthly, adding SSO, audit logs, dedicated support, embedding capabilities, private cloud deployment, and SLA guarantees.
The editor-plus-viewer seat pricing mechanic and its concrete $22,500/year example are drawn directly from a detailed independent 2026 breakdown (Improvado), which also documents the free tier's real data-source and report limitations. The ThoughtSpot ownership detail is drawn from an independent company profile (Hiltonsoftware.co). The Helix Data Engine architecture is drawn from SelectHub's independent product review.
Key features
Helix in-memory data engine
Streams query results into memory for faster filtering and manipulation.
SQL, Python & R notebooks
Seamless integration of code-based and visual analysis on one platform.
White-label embedding
Embed dashboards into your own app via JavaScript or iFrame in minutes.
Visualization Builder
Chart builder with custom colors and an HTML editor for personalization.
Auto-updating scheduled reports
Reports refresh automatically and can be sent to team members regularly.
Role-based permissions
Control who can edit queries versus who can only view dashboards.
Pricing
Free
- Unlimited queries and basic visualizations included
- Scheduled reports run once daily maximum
- Good for proof-of-concept, not real production marketing analytics
Pro
- Unlimited scheduled reports and role-based permissions included
- 5 editors + 20 viewers = 25 total billed seats, not just 5
- A 25-seat team runs roughly $22,500/year, not $4,500
Enterprise
- Dedicated support and success manager included
- Embedding capabilities for customer-facing analytics
- SLA guarantees available for mission-critical deployments
Count both editors and viewers together when estimating real total cost — Mode's per-seat billing applies to anyone with dashboard access, not just people running queries. Prices reflect Mode's published pricing as of July 2026.
Available models
Integrations & platforms
Pros, cons & best for
Pros
- Genuinely seamless integration of SQL, Python, R, and visual analysis in one platform
- Helix's in-memory engine offers real, tangible speed advantages for repeated analysis
- Real white-label embedding capability for customer-facing analytics
Cons
- Counting viewers as full seats can meaningfully inflate real cost versus expectations
- Free tier's 3-data-source, 10-report cap is genuinely too thin for production use
- Some real lag reported in data fetching and notebook editing
Best for
- SQL-comfortable data analysts and technical teams needing collaborative reporting
- Organizations embedding analytics into their own customer-facing products
- Not the pick for teams needing broad dashboard viewer access on a tight budget
Take a look inside
Alternatives
For AI-native natural language querying or a lighter, free-friendly BI tool instead:
Our verdict
Mode Analytics' genuine strength is real technical depth for SQL-comfortable data teams — seamless integration of SQL, Python, and R notebooks alongside real embedding capability makes it a solid, credible platform for teams comfortable writing queries directly, and Helix's in-memory engine offers a genuinely tangible speed advantage for iterative analysis. The honest, important thing worth planning around carefully: Mode counts both editors and viewers toward your total seat count, meaning giving broad dashboard access across an organization compounds cost meaningfully faster than a naive "how many analysts do I have" calculation would suggest — the concrete jump from an expected $4,500 to a real $22,500 a year for a 25-person team illustrates this directly. The free tier's thin data-source and report caps also limit it to genuine proof-of-concept use rather than production deployment. Now part of ThoughtSpot's broader portfolio, Mode remains a strong choice specifically for technical analytics teams; organizations needing wide, low-cost viewer access are better served by a platform that doesn't bill viewers as full seats.
FAQ
Do dashboard viewers cost the same as editors on Mode Analytics?
Yes — Mode counts both editors and viewers toward your total seat count, so a 5-person analytics team giving 20 marketing managers dashboard access pays for all 25 seats, roughly $22,500 a year on Pro, not the $4,500 a 5-person-only calculation would suggest.
Who owns Mode Analytics now?
Mode is now part of ThoughtSpot's portfolio, also covered elsewhere in this directory — worth knowing when comparing the two platforms or evaluating long-term product direction.
Is Mode Analytics' free tier good enough for real production use?
Not really — it's limited to just 3 data sources and 10 reports, with scheduled reports running once daily maximum, which barely covers a typical marketing stack and won't support real campaign-level visibility across channels.
What is Helix?
Mode's in-memory data engine, which automatically streams query results into its own database for faster filtering and manipulation than querying a full-scale data warehouse directly each time.
Can I embed Mode dashboards into my own product?
Yes, genuinely — developers can build parameters, queries, and dashboards, then embed the finished white-label analytics into their own applications via JavaScript or iFrame in just a few minutes.
What are Mode's known limitations?
Some real lag in fetching data and editing notebooks, delays between data warehouse changes and their reflection inside Mode, and a genuine learning curve for users not already comfortable with SQL.