Audyense·
Side-by-side record

Amplitude vs. Hex

Built from each tool’s researched, reviewed record. Figures are checked against public pricing pages at research time — always confirm current pricing with the vendor before buying.

The short version

Hex starts at Free per seat, versus Amplitude at Custom pricing. Amplitude carries the higher aggregate rating (4.6/5 vs 4.5/5).

Full comparison

Amplitudefrom Custom pricing
Hexfrom Free
Audyense Score54AS*Low70ASStrong
PositioningAdvanced product analytics platformCollaborative SQL, Python, no-code, and AI analytics in one data workspace.
Free tierYesYes
DeploymentCloud / SaaSCloud / SaaS
Best fitSMB, Mid-market, EnterpriseStartup, SMB, Mid-market, Enterprise
Pricing plans
  • FreeFree
  • PlusCustom pricing
  • GrowthCustom pricing
  • EnterpriseCustom pricing
  • CommunityFree
  • Professional$36
  • Team$75
  • EnterpriseCustom pricing
Product analyticsYes
Session replayYes
ExperimentationYes
Guides and surveysYes
SSOYesGrowth plan and above
Embedded analyticsYesAvailable as an Enterprise add-on.
Semantic layer / data modelingYesSupports dbt MetricFlow, Cube, and Snowflake semantic model sync.
SQL notebooksYes
Python and RPartialPython is first-class; R is supported through data workflows rather than as the core notebook runtime.
Interactive data appsYes
Scheduled runs and alertsYesAvailable on Team and Enterprise.
AI analyticsYesNotebook, Threads, and semantic-model agents vary by plan.
Git integrationYes
Integrations verified28+
Aggregate rating4.6 · 3.8k reviews4.5 · 383 reviews
Integrations
SnowflakeAmazon RedshiftGoogle BigQueryDatabricksPostgreSQLClickHouse+9 more
Security & compliance
SOC 2 Type IIHIPAA
Pros
  • Advanced analytics
  • AI-powered insights
  • Enterprise support
  • SQL, Python, no-code, AI, and app-building workflows in one environment.
  • Fast path from ad hoc analysis to shareable reports and interactive apps.
  • Strong collaboration features including multiplayer, comments, versioning, and shared components.
  • Connects to warehouses, cloud storage, orchestration tools, and semantic models.
Cons
  • Steep learning curve
  • MTU pricing complexity
  • Advanced compute, AI agents, and usage credits can complicate the cost model.
  • Visualization depth is not always a match for dedicated dashboarding products.
  • Most meaningful governance and security controls are reserved for Team or Enterprise.
  • Cloud-first deployment may not fit teams that require full self-hosting.
Visit Amplitude ↗Visit Hex ↗