Comparison updated · Newest review
Side by side
Published data on both agencies. Where one side measurably differs, the dot marks it: the higher score, the lower published rate, the larger team, the more recent review. Which of those is an advantage depends on your brief.
| Attribute | Bismart | Datarmony |
|---|---|---|
| Editorial score | 52.8/100 | 52.8/100 |
| Hourly rate | Contact for rates | Contact for rates |
| Team size | Larger team: 50-249 | 10-49 |
| Location | Barcelona, Spain | Barcelona, Spain |
| Founded | 2009 | 2022 |
| Last reviewed | Sep 7, 2026 | More recent review: Sep 10, 2026 |
What we said about each
Our take on Bismart
Bismart's named evidence and its AI evidence are two different bodies of work. Six clients are quoted by name and role—Barceló, Banc Sabadell's BSOS, Sanitas Mayores across 46 centers, Barcelona de Serveis Municipals, Teka and Segittur—and every one of those quotes describes Power BI, SQL Server and Azure data integration. The AI case studies are anonymous landing pages: a retrieval system over technical manuals reporting 70% less time to understand a product and 65% faster engineering…
Reviewed Sep 7, 2026
Read the full assessment →Our take on Datarmony
Published work is measurement and data engineering on Google Cloud rather than model building: a Markov-chain attribution model for Desigual that showed early-funnel channels were being under-credited, and a data-quality monitor for Iberostar the firm estimates halved the time to find and fix measurement errors. Both carry a named client testimonial with the person's role attached, which is rarer in this category than it should be. Of the eleven published cases, seven name only the sector, so…
Reviewed Sep 10, 2026
Read the full assessment →Best for
Where each agency measurably leads on the published data — team capacity, declared specializations, editorial scoring, and rates where both publish them. Use these to match an agency to your project priorities.
Choose Bismart if you need
- larger team capacity for multi-stream or enterprise-scale programs
- disclosed specialization in Healthcare / Public Sector
- broader service offering — also covers Generative AI
Choose Datarmony if you need
- closer collaboration at a smaller team scale
- disclosed specialization in E-commerce
Strengths and watch-outs
Both upsides and risks, straight from our editorial assessments.
Bismart
Strengths
- Six named clients quoted with role, including data integration across 46 Sanitas Mayores centers and the master-data platform at Barcelona de Serveis Municipals
- Power BI Gold Partner since 2009 with a named leadership team and offices in Barcelona, Madrid and Andorra
- The AI case studies do publish measured outcomes: 70% less time locating technical information, 90% accuracy predicting equipment failures
Watch-outs
- Named clients and AI outcomes never appear on the same page—ask which named account the retrieval or predictive-maintenance system was built for
- The heritage is business intelligence; ask who on the team has taken a machine-learning or retrieval system to production, not a dashboard
- No rate published—anchor against the European range on our rate index, and clarify whether Fabric or Power BI licensing sits inside or outside the quote
Datarmony
Strengths
- Method is named rather than hidden behind proprietary language: Markov-chain attribution built on Google Analytics and BigQuery data
- Published cases span attribution, marketing mix modeling, demand forecasting, call analysis and geolocation, so the analytics range is visible before the first call
- Named clients back their studies with attributed quotes from the digital and data leads who bought the work
Watch-outs
- No rate is published—anchor the conversation against the European range on our rate index before scoping
- The site and every case study are in Spanish; confirm the working language for reporting and documentation
- Outcomes are mostly directional, with one estimated 50% figure—agree up front what will be measured and against which baseline
Service coverage
Where the two overlap, and where each covers ground the other does not.
Industry coverage
Where the two overlap, and where each covers ground the other does not.
Frequently asked questions
- Which scores higher overall, Bismart or Datarmony?
- Both score equally well overall (52.8/100). The deciding factor is specialization — see the editorial quotes and Strengths sections above. Full methodology.
- Which is faster to engage, Bismart or Datarmony?
- Neither publishes lead times, so this is a read on team size rather than a measured answer. Datarmony runs the smaller team, which usually means fewer procurement gates and a shorter path to kickoff. Bismart runs a larger one, which tends to mean more steps but more capacity to start parallel workstreams. Current kickoff availability is the number that actually decides it — ask both.
- When should I consider both Bismart and Datarmony?
- Consider running parallel discovery briefs with Bismart and Datarmony if your project spans multiple workstreams, you want competitive proposals to compare scope and approach, or you're undecided between the specialization angles each brings (see the Best for cards above). Most engagements ultimately go with one — but the parallel-brief phase is a low-cost way to validate fit.
Read the full reviews
A side-by-side is a starting point. The full assessments carry the portfolio analysis, documented engagements, and the evidence behind every strength and watch-out above.