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Best Data Analytics Software 2026
Every product here is ranked by Samsung Mobile US Press's record score: what its maker publishes about it, where it runs (Android first), whether it is free to try, and how recently the facts were read.
TIBCO Spotfire
Spotfire is intended for engineers, scientists, operators, and domain experts working with complex, data-rich environments.
AndroidiPhone & iPadWeb+6Amplitude
Amplitude suits teams seeking event tracking, funnels, session replays, and ecommerce analytics.
AndroidiPhone & iPadWeb+3Mode
Mode suits data and business teams that need to analyze warehouse data, share queries, and create reports or internal data tools.
WebWindowsMac+2PostHog
PostHog may suit product teams seeking analytics, session replay, feature flags, and data routing in one platform.
AndroidiPhone & iPadWeb+5Qlik Sense suits organizations exploring data with dashboards, reports, forecasting, and natural-language queries.
Heap may suit teams that want to track events, review conversion funnels and session recordings, or analyze ecommerce activity.
Cognos Analytics may suit organizations that need governed analytics, dashboards, and reporting.
It suits teams that need event, funnel, session-replay, or ecommerce analytics through an API.
Community is listed for hobbyists and small projects, Professional for individuals, Team for companies collaborating on data, and Enterprise for organizations needing…
It suits organizations automating cloud services, desktop applications, and legacy systems.
Zoho Analytics suits teams that need to combine data sources, build visualizations, and distribute reports.
It suits sales teams, service agents, and business users who need analytics integrated into Salesforce CRM.
Superset suits teams that can manage a self-hosted data exploration and dashboard platform.
Holistics is intended for data teams building governed models and business users who need to explore datasets or create reports without SQL.
SAS Visual Analytics suits business analysts and teams that need to explore varied data sources, create reports, and use predictive analytics without programming.
Matomo suits organizations that need web, ecommerce, or conversion analytics and want a choice between hosted and self-hosted deployment.
It suits teams analyzing visitor behavior across web and mobile properties, including those that need journey analysis, governance controls, or developer access.
Looker may suit organizations that want governed data exploration, dashboards, embedded analytics, and natural-language queries.
ThoughtSpot may suit teams looking for cloud analytics with natural-language queries, scheduled reports, or embedded analytics.