Our Approach
Choosing a data platform starts with understanding what your company needs to run: reports, a common information foundation, or applications that connect analysis and decisions. This guide explains when to evaluate Essential 137 alongside Palantir Foundry, a BI platform or custom development.
Comparison prepared by Quarks from public documentation and the scope of its own offering. It implies neither functional equivalence nor affiliation with Palantir. Reviewed on October 6, 2026.
Latin American talent. The ambition to build.
Latin America has the talent to create technology infrastructure and put it into operation. At Quarks we turn that conviction into engineering work: connecting systems, modeling the business and supporting the teams that make it run. Our offices in Caracas, Miami, San José and Bogotá keep us close to the people and markets we work with.
Essential should be judged on the relevance of its design, the quality of its implementation and the ability to sustain the solution. That is where we want to compete.
Four options, six dimensions.
The table summarizes each approach based on public documentation and the scope of Quarks' offering. Numbers in brackets refer to the sources at the end of the page. On mobile, scroll the table horizontally.
| Dimension | Essential 137 | Palantir Foundry | BI platform | Custom development |
|---|---|---|---|---|
| Scope | Integration, governance and a business model for analytics, applications and agents; implementation tailored to the case. | Data and operations platform with integration, Ontology, and analytics and application tools [1] [2]. AIP and Apollo are related platforms, not synonyms for Foundry. | Reporting, exploration and semantic models; some platforms add AI and other capabilities. | Functionality defined by scope; the operational pieces also have to be built and maintained. |
| Integration | Connects the agreed enterprise sources; interfaces, quality and frequency are validated during the assessment. | Extensible connector framework with batch, micro-batch and streaming loads, transformations and lineage [1]. | Depends on the product and sources; it can rely on an existing integration layer. | In-house or third-party connectors and flows; the team owns their evolution and failures. |
| Ontology and context | Business-specific entities, relationships and rules; scope is defined during implementation. | Ontology combines objects, properties, links, actions and functions, with access controls [2]. | May include semantic models with relationships and measures, as in Power BI [4]; check whether they cover the operational workflows you need. | The team has to design, model and version the context and its permissions. |
| Deployment | Architecture is defined with the client; Cobeca Pulse documents a case on AWS. Other environments or constraints require validation. | The Palantir ecosystem documents cloud and other environment deployments through Apollo [3]; the specific option is confirmed commercially and technically. | Cloud or self-hosted, depending on the tool and edition. | Flexibility based on architecture and dependencies, with in-house or contracted operational responsibility. |
| Regional support | Quarks team with offices in Caracas, Miami, San José and Bogotá; support scope is agreed per project. | Confirm language, coverage, implementation team and terms with the vendor or its partners. | Depends on the vendor, its partners or the internal team. | Depends on the team or firm; document continuity, handover and maintenance. |
| When to evaluate it (Quarks' recommendation) | Organizations that need to connect data and build a solution with regional support. | Organizations evaluating a broad operational platform that can validate its fit with their architecture and governance. | Organizations with ready data and a priority on analysis and reporting; it can coexist with Essential. | Organizations with differentiating requirements and the capacity to fund the software's operation and evolution. |
The “When to evaluate it” row is Quarks' editorial recommendation, not an official segmentation by any vendor.
How to make the decision.
- Ask for a demo using the same sources and the same questions for each option.
- Check connector coverage, permissions, traceability, latency and the actions your operation requires.
- Agree on acceptance criteria before you start.
- Compare total cost: licenses, cloud, integration, adoption, support and evolution.
No option is the cheapest or fastest in every case. Costs and timelines depend on scope and are verified during the evaluation.
Essential in a real operation.
Cobeca Pulse connects sell-in and sell-out and presents views for pharmacies and suppliers. Orbit adds a conversation over the available data using AWS capabilities. It is evidence of this project's scope, not proof of equivalence with Foundry.
Natural-language querying also exists in other platforms, such as Power BI with Copilot [5]. Quarks' value lies in how it connects data, models context and brings the solution into operation.
Read the Cobeca Pulse caseFrequently asked questions
- Does Essential replace Palantir?
- It can be an option for a specific scope, but it is not a universal functional substitute. It is evaluated requirement by requirement.
- Do I have to drop my BI tool?
- Not necessarily. Essential can provide data and context to the analytics tools the company already uses, once the integration is validated.
- Is Quarks affiliated with Palantir?
- No. Names and trademarks belong to their owners, and this comparison is independent.
Sources consulted
Official documentation consulted on October 6, 2026.
Evaluate your case with a Quarks partner.
Bring your sources and your questions. We'll review with you whether Essential fits, and with what scope.