Mode is a collaborative data platform that combines SQL, R, Python, and visual analytics for business intelligence and data analysis.
Each model independently rates Mode on a 1–5 star scale.
Mode is a well-regarded collaborative data analytics platform founded in 2013, acquired by ThoughtSpot in 2023. Known for combining SQL, Python, R, and visual analytics for data teams. Solid reputation among technical users.
Mode is a collaborative data platform known for integrating SQL, R, Python, and visual analytics. It has a solid reputation in the business intelligence space, though specific regulatory details are less public.
Mode is a well-regarded collaborative data platform for BI and analytics, integrating SQL, R, and Python. It has a solid reputation in its niche, though direct financial regulation and trading scores are not applicable. Scores reflect its standing as a mature SaaS product.
Mode (mode.com) is a well-known collaborative analytics platform for SQL, Python, and R. Strong product and positive user sentiment, with enterprise security practices (e.g., SOC 2). Not a regulated financial service. Support and roadmap stability generally good post-acquisition.
Mode is a niche data analytics platform. Limited public data on reputation, compliance, or operations means scores reflect insufficient information for assessment.
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Mode is rated 3.4 out of 5 (“Average”) on TrustRating, based on 5 independent AI model assessments. The TrustScore combines real customer reviews with AI models that independently assess trust, regulation, support and reputation signals. Always do your own research before making a purchase or investment.
TrustRating doesn't issue scam verdicts — we publish the data instead: Mode scores 3.4 out of 5 (“Average”) based on 5 independent AI model assessments. Every review passes TrustGuard, our fraud-screening system that blocks fake and paid reviews, so the score reflects genuine customer experience. Read the most recent reviews below before you decide.
Mode currently has a TrustScore of 3.4 out of 5 (“Average”). The score blends verified customer reviews with assessments from multiple independent AI models, and it updates automatically as new reviews and scans come in. You can read exactly how scores are computed on our methodology page.
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