Start with who'll ask the questions. If business users should type questions in plain language, look at natural-language analysts. If you want analytics inside your own product, choose an embedded platform. If consistent numbers across teams matter most, pick a tool built on a governed metrics layer. Then run a short pilot on your own data.
Who in your company should be asking the data questions: your analysts, everyone, or your customers inside your own product? That one question sorts ThoughtSpot alternatives faster than any feature list. The eight here are grouped by approach, with descriptions paraphrased from each vendor's site.
Who asks the questions decides the shortlist
ThoughtSpot has become an agentic analytics platform, per its own site, so the comparison isn't really search box against search box any more. The alternatives vary on who does the asking and what keeps the answers consistent.
There's a trade-off hiding in that choice. Plain-language tools get more people asking questions quickly, but every new asker is a new chance for a vague question to get a confident wrong answer. Governed tools ask your data team to do more work up front, defining metrics before anyone queries them, and repay it with answers that agree with each other. Embedded tools solve a different problem altogether: showing your customers their own data.
Ask in plain language. Veezoo describes agentic analytics for business users. Zenlytic pitches an AI data analyst for company data. Julius is an AI workspace for analysing data and turning it into dashboards and presentations.
Embed analytics in a product. Luzmo builds embeddable dashboards and AI analytics for SaaS products. Sisense offers AI-powered embedded analytics.
Govern the metrics first. GoodData puts dashboards, data apps and agents on one governed foundation. Holistics has data teams define metrics once.
One ownership change. Pyramid Analytics' own site says ServiceNow has acquired it. That's not a reason to rule it out, but it's a good reason to ask about the roadmap before you sign anything long.
Build an AI or embedded analytics product that belongs in one of these groups? Submit it for a look.
Eight analytics platforms, alphabetically
A single line each, in no particular order of merit, using a different vendor claim from the group notes.
GoodData
Best for: Analytics, AI and agents on what the vendor calls one data serving plane.
Holistics
Best for: Self-service analytics where data teams define metrics once, so the vendor says AI answers and point-and-click answers match.
Julius
Best for: Researching complex topics and analysing data in one workspace, per the vendor.
Luzmo
Best for: SaaS companies embedding dashboards and AI analytics in their own product, which the vendor says takes days rather than months.
Pyramid Analytics
Best for: Organisations wanting data prep, a semantic layer and AI analytics in one decision intelligence platform, per the vendor.
Sisense
Best for: Product teams putting AI analytics inside their app under their own brand, with pro-code, low-code and no-code options, per the vendor.
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Veezoo
Best for: Answers the vendor calls hallucination-free because they're built on a knowledge graph.
Zenlytic
Best for: Companies wanting an AI data analyst whose answers on company data stay accurate and consistent, with the vendor stressing verifiable answers.
How the eight compare
| Tool | Approach | Good for |
|---|---|---|
| GoodData | Governed analytics platform | Dashboards, data apps and agents on one base |
| Holistics | Self-service BI | Metrics defined once, used everywhere |
| Julius | AI data analyst | Quick analysis, charts and presentations |
| Luzmo | Embedded analytics | Dashboards inside a SaaS product |
| Pyramid Analytics | Decision intelligence | Data prep through to AI analytics |
| Sisense | Embedded AI analytics | White-labelled analytics in your app |
| Veezoo | Agentic analytics | Business users asking in plain language |
| Zenlytic | AI data analyst | Consistent answers across the company |
Two questions the table can't answer, so ask every vendor directly: where does the analysis run, and who can see what? Some tools query your warehouse in place, while others copy data into their own service. And if a sales rep and a finance lead ask the same question, the answers should respect each person's access rights, not just the dashboard's.
Advice for a two-week pilot
Don't judge any of these on a demo dataset. Every AI analytics tool looks sharp on clean sample data; the test is whether it gives the right answer on your messy tables, with your definitions of revenue, churn and active customer. A short, structured pilot shows you that quickly.
Keep the pilot small on purpose. One data source, one team and a fixed set of questions tell you more than a sprawling trial where everyone tries something different and nobody can compare notes at the end. Agree in advance what a pass looks like, so the decision isn't swayed by whichever demo felt most impressive.
- Write down ten questions your team asks every month, with the answers you already trust.
- Connect one real data source, not a sample, and define two or three core metrics.
- Have a non-analyst ask the ten questions in their own words and compare the answers to yours.
- Note every wrong or vague answer and ask the vendor why it happened.
- Decide on accuracy first, ease of use second and everything else after that.
For broader comparisons, see my business intelligence tools guide and the Power BI alternatives list.
If a tool can't get your ten questions right in two weeks, it won't get them right after a year either.
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Frequently asked questions
What is agentic analytics?
It's analytics where AI agents do more than answer one question: they can follow up, run several steps of analysis and suggest actions, rather than just drawing a chart.
What's a governed metrics layer?
It's a single place where your data team defines terms such as revenue or active user once, so every dashboard and AI answer uses the same definition.
Can business users trust AI-generated answers?
Only once you've checked them against answers you already trust. Tools that show how an answer was worked out make that check much easier.
What does embedded analytics mean?
It means putting dashboards and reports inside your own product, under your brand, so your customers see their data without leaving your app.
Can I use embedded analytics if I'm not a software company?
Yes, if you share reports with clients or partners through a portal. Embedding lets them see their own data inside your site instead of receiving spreadsheets.
How long should a BI pilot run?
Two to four weeks is usually enough if you test on real data with real questions. Longer pilots tend to drift into setting up features you didn't need.
