AgencyAnalyticsClient reporting and performance insights for marketing agencies
vs
DatabricksUnified data, analytics and AI platform on an open lakehouse
Comparison · Business Intelligence · weekly run Nov 2
AgencyAnalytics vs Databricks
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Databricks is the stronger AI pick in Business Intelligence: it has a visibility score of 4.3 versus 0 for AgencyAnalytics.
Choose AgencyAnalytics if…
- all-in-one marketing reporting and dashboards
- strong client reporting for small and midsize agencies
Choose Databricks if…
- You want the brand AI engines rank higher (4.3 vs 0)
- AI answers describe it more positively (35% vs 0% positive)
- You need ISO 27001 or ISO 27017 or ISO 27018 or ISO 27701 or SOC 1 or SOC 2 Type II or SOC 3 coverage
- You prefer a larger, established vendor (5,000+ employees)
AI visibility side by side
Latest weekly run · Nov 2
| Metric | AgencyAnalytics | Databricks |
|---|---|---|
| Visibility score | 0% | 4.3% |
| Change vs last week | New | New |
| Rank in Business Intelligence | #40 | #18 |
| Share of voice | 0% | 1.6% |
| Mentions this run | 0 | 8 |
| Positive in AI answers | 0% | 35% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
AgencyAnalytics 0pp · Databricks 0pp over 0 weekly runs.
Engine by engine
Databricks leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
AgencyAnalyticsDatabricks
Head to head in AI answers
0 engine answers name both brands
0AgencyAnalytics ranked higher
0Databricks ranked higher
Features, pricing & fit
| Dimension | AgencyAnalytics | Databricks |
|---|---|---|
| Pricing model | Per seat | — |
| Entry price | $20 per seat / mo | — |
| Free plan | No · 14-day trial | — |
| Deployment | — | Available across all major cloud providers |
| Integrations | 90+ | — |
| Compliance | — | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 |
| Support | Standard support by email and chat, Free onboarding call | Technical support on request, Technical documentation |
| Founded | 2010 | 2013 |
| Headquarters | Toronto, Ontario, Canada | San Francisco, CA |
| Employees | 51–200 | 5,000+ |
| Funding | — | Round at $60B valuation, including secondary sale |
| Best for | Marketing agencies that report on client campaigns across several channels | Data engineering, data science, analytics and AI teams at startups and global enterprises |
Plans side by side
AgencyAnalytics
Core Plan$20per client, per month (billed annually)
Volume PricingCustom25+ clients, contact sales
Databricks
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
AgencyAnalytics
- all-in-one marketing reporting and dashboards
- strong client reporting for small and midsize agencies
- not suited to deep analytics or data warehousing
Databricks
- Lakehouse architecture combining data warehousing with data lake flexibility
- Strong for machine learning, AI, and data engineering workloads
- Top customer satisfaction ratings alongside Snowflake
- Free trial and free Edition for learning
- Discounts for annual prepaid commitments
- Complex consumption-based pricing with no single fixed price
- Best only when ML, Spark, or Python skills are central to the team
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “AgencyAnalytics vs Databricks”, https://slateindex.ai/compare/agencyanalytics-vs-databricks, data of Nov 2, 2026. Licence: CC BY 4.0.