Executive Summary: Selecting an enterprise oil and gas data platform requires moving beyond static mapping to evaluate how connected datasets support real-world workflows, from acquisition screening and competitor analysis to infrastructure constraint evaluation and market access analysis. This guide outlines 11 essential decision criteria for evaluating energy data platforms, including lifecycle coverage, spatial usability, attribute depth, flow and contract context, refresh cadences, and multi-team collaboration. It examines where Rextag's Energy DataLink fits relative to specialized third-party providers (Enverus, Wood Mackenzie, S&P Global / Platts, TGS) to help energy analysts, GIS specialists, and data scientists choose the right fit.
Written by: Reinold Tagle (President, Rextag)
Key Topics: Petroleum Industry, Midstream Infrastructure, GIS Systems, Natural Gas Markets, Pipeline Transport
An analyst is reviewing a new acquisition area. The well data looks promising. Production is active. Operators are already in the basin. On the surface, the story seems clear.
Then the infrastructure view changes the question.
Where is the gathering system? Which processing plants are nearby? Is there transmission access? What downstream outlets exist? Is there nearby power infrastructure that should be part of early screening? Are there parcels, terminals, compressor stations, storage assets, or other constraints that change how the opportunity should be evaluated?
That is where many oil and gas data workflows break down. The problem is not in the data quality. The challenge is that relevant data is often fragmented across maps, spreadsheets, public portals, analyst reports, PDFs, and internal systems.
For analysts, data scientists, and GIS specialists, a useful oil and gas data platform should do more than provide isolated datasets. It should bring physical infrastructure, upstream and downstream context, and natural gas analytics together in one connected environment. Energy DataLink is that cohesive experience, allowing teams to connect assets with flows, contracts, pricing indicators, production, operators, and market context without treating gas analytics as a separate workflow or product destination.
For teams comparing an energy analytics platform or a data platform for analysts, the real test is not the size of the feature list. It is whether the platform connects data to the way the team actually works.
Start With the Question, Not the Software
Before comparing platforms, define the workflow.
An analyst may need to screen assets, compare operators, evaluate production, or understand infrastructure access. A data scientist may need structured exports, repeatable workflows, API options, and consistent attributes. A GIS specialist may need spatial accuracy, layer control, file delivery, map services, and clean attribute tables.
Those are different jobs. They may use the same platform, but they do not judge it the same way.
A strong oil and gas data platform should make the workflow easier. It should help users move from a question to a connected view of assets, relationships, gas movements, risks, and opportunities without forcing teams to jump between disconnected products or platforms.
11 Criteria for Evaluating an Oil and Gas Data Platform
Use these 11 criteria to evaluate whether an oil and gas data platform can support analyst, GIS, and enterprise data workflows.
1. Lifecycle Coverage
Oil and gas decisions rarely sit inside one segment of the value chain. A well is tied to gathering. Gathering is tied to processing. Processing is tied to transmission, storage, downstream outlets, and market access.
The strongest oil and gas lifecycle data workflows connect upstream, midstream, downstream, power, related infrastructure, and natural gas market context in one usable environment.
Ask: Can the platform help us see how assets connect across the oil and gas lifecycle, or does it only show one part of the infrastructure and market context?
2. GIS and Spatial Usability
For many teams, the map is not a visual extra. It is the workflow.
GIS users need more than dots and lines. They need usable layers, filtering, exports, map services, attribute tables, and enough spatial clarity to support screening and analysis.
Ask: Can GIS specialists work with the data in the formats and map environment they already use?
3. Asset-Level Attribute Depth
Location is only the starting point. A useful asset record should explain what the asset is, who owns or operates it, what status it has, what commodity or system it belongs to, and what nearby assets may affect the decision.
For natural gas workflows, asset-level depth may also include production, flow, shipper, contract, meter-point, capacity, and pricing-related fields where available. The value is highest when those attributes can be analyzed in the same environment as the underlying infrastructure.
Ask: Are the attributes deep enough to support analysis, or is the platform mostly a map of asset locations?
4. Upstream Data Coverage
Upstream teams need wells, production, completions, permits, directionals, acreage, operator activity, and related context. But upstream data becomes more valuable when it can be viewed with infrastructure.
A productive area may look attractive on a well map. Its value can change once gathering, processing, takeaway, storage, and power access are considered.
Ask: Can the platform connect upstream activity with the infrastructure needed to move production to market?
5. Midstream Infrastructure Context
Midstream analysis depends on more than pipeline routes. Teams may need gathering systems, transmission pipelines, processing plants, compressor stations, storage, meter points, LNG terminals, and related gas or liquids assets.
This matters for expansion planning, competitor analysis, acquisition screening, commercial strategy, and infrastructure risk review. For natural gas teams, the midstream infrastructure view is more useful when pipeline routes and asset locations sit alongside flow history, contract positions, shipper relationships, meter-point activity, storage, LNG demand, pricing indicators, and regional production context in the same platform workflow.
Ask: Can users understand how midstream assets connect and how gas moves through the system, not just where individual assets sit?
6. Downstream and Market Access Context
Downstream context helps explain where production can go and how infrastructure connects to end markets. This may include refineries, terminals, tanks, crude oil systems, refined products systems, NGL/LPG/HVL infrastructure, LNG terminals, and storage.
For analysts, this downstream context can turn a local asset map into a market access view.
Ask: Does the platform help explain how upstream and midstream assets connect to downstream outlets and market-access context?
7. Data Quality and Source Transparency
Every dataset has limits. The question is whether users can understand those limits before relying on the data.
A serious platform should make it clear how data is maintained, what attributes are available, what geographies are covered, and where users should still rely on engineering, field verification, legal review, regulatory research, or internal validation.
Ask: Can the team understand what the data can support and which decisions require additional validation?
8. Refresh Cadence and Delivery Schedule
Oil and gas data does not all change at the same pace. Production, permits, asset ownership, flows, documents, and infrastructure records follow different update patterns.
The practical question is not whether every layer updates constantly. It is whether the provider explains how key datasets are refreshed and how updates are delivered to customers.
For natural gas analysis, this is especially important because daily and historical flow data, contract records, pricing indicators, notices, storage, and production context may support different analytical questions than infrastructure updates. A cohesive platform should make those different cadences understandable while keeping the data connected in one workflow.
Ask: Do we understand how often the data is updated and how those updates reach our users?
9. Delivery Formats and Integration
Analysts may want tables. GIS teams may want geodatabases, shapefiles, WMS/WFS, or map services. Data scientists may want APIs or structured exports. Commercial users may prefer a web platform.
A good platform should support the way the team actually works, not force every user into one interface.
Ask: Can the data move into our existing workflows?
10. Enterprise Collaboration and Usability
Oil and gas data is rarely used by one person. A screening workflow may involve GIS, commercial, strategy, engineering, land, leadership, and outside consultants.
If each group works from a different version of the data—or has to move between separate products to answer one question—the analysis slows down. Enterprise usability means shared access, consistent data, export options, and enough flexibility for technical and non-technical users to work from the same connected platform.
Ask: Can different teams work from the same connected energy and natural gas data environment without creating parallel data silos?
11. Vendor Fit, Support, and Trial Process
A platform can look strong in a demo and still fail in the real workflow. The best test is usually a real area of interest: a basin, corridor, asset package, operator footprint, or project area the team already understands.
Support also matters. Analysts and GIS users need to know how to ask questions, validate coverage, test delivery formats, and confirm whether the data matches the workflow before committing.
Ask: Can we test the platform against a real business question before making a subscription decision?
How Other Data Services Can Complement a Rextag Subscription
Rextag is designed to bring infrastructure, GIS-ready energy data, company and operator intelligence, and natural gas analytics together in Energy DataLink. Some organizations may still use specialized third-party services for narrow workflows outside that core platform. The useful comparison is therefore not which competitor should replace Rextag for an overlapping capability, but where a specialized service may add context around a full Rextag subscription.
The practical question is: what should teams expect to cover inside Rextag, and where might a specialized external source complement—not duplicate—the connected infrastructure and natural gas workflows available in Energy DataLink?
| Provider |
Commonly evaluated for |
How it complements a Rextag subscription |
| Rextag |
Connected energy infrastructure data, GIS-ready asset context, Natural Gas Analytics within Energy DataLink, Power & Renewables, data centers, telecom/fiber context, company/operator intelligence, and Rextag Directory |
Energy DataLink brings infrastructure and Natural Gas Analytics into one connected environment so teams can analyze where assets are, who owns or operates them, how systems connect, and how gas moves through flows, contracts, meter points, production, storage, pricing indicators, and demand context. |
| Enverus |
Upstream activity, rig tracking, operator intelligence, and selected forecasting workflows |
May complement Rextag for specialized upstream activity or near-term forecasting workflows. |
| Wood Mackenzie |
Market outlooks, supply-demand analysis, transportation/logistics research, and commodity forecasting |
May complement Rextag when a team wants an external market outlook or forecast methodology alongside the infrastructure, flow, contract, production, and market context already analyzed in Energy DataLink. |
| S&P Global / Platts |
Pricing benchmarks, commodity market data, forward curves, and market transparency |
May complement Rextag when a workflow requires specialized benchmark or exchange-oriented pricing references. Those references can be used alongside Rextag’s infrastructure and natural gas analytics to understand markets. |
| TGS |
Well data, subsurface and geoscience workflows, production performance, well economics, and upstream technical analysis |
May complement Rextag for detailed subsurface, geoscience, or well-level technical modeling. Rextag remains the connected environment for infrastructure, GIS context, and natural gas analytics. |
Rextag Energy DataLink is the optimal environment for the workflows it covers: physical infrastructure, GIS-ready asset context, company and operator intelligence, and natural gas analysis including flows, contracts, shippers, meter points, production, pricing indicators, storage, LNG and demand context. External services are most relevant when a team needs a specialized capability outside that scope, such as exchange-grade benchmarks, detailed subsurface modeling, or a distinct market-forecast methodology.
Oil and Gas Data Platform Decision Matrix
The table below shows which data a workflow requires and how that workflow can be handled within Rextag or supplemented by a specialized external source.
| Analyst question |
Data needed |
How Rextag supports the workflow |
| Is this acreage or asset connected to infrastructure? |
Wells, production, gathering, processing plants, transmission, storage |
Strong fit in Energy DataLink: connect wells and production with gathering, processing, transmission, storage, ownership, and related infrastructure in one view. |
| Can we map relevant oil and gas infrastructure in one place? |
Pipelines, processing plants, compressor stations, refineries, terminals, storage, power, parcels |
Strong fit in Energy DataLink: map and analyze pipelines, plants, compressor stations, refineries, terminals, storage, power, parcels, and other infrastructure together. |
| How is gas moving through the system, and where could constraints or commercial exposure appear? |
Pipelines, meter points, daily and historical flows, contracts, shippers, storage, production, pricing indicators, LNG, power demand, and downstream connectivity |
Strong fit in Energy DataLink with Natural Gas Analytics: analyze pipelines and meter points alongside daily and historical flows, contracts, shippers, storage, production, pricing indicators, LNG, demand, and downstream connectivity. |
| Can data scientists export and reuse the data? |
Structured exports, GIS files, WMS/WFS or API options, and consistent attributes |
Strong fit: use structured exports, GIS files, map services, and available integration options to reuse connected Rextag data in enterprise workflows. |
| Do we need commodity pricing or benchmarks? |
Prices, forward curves, commodity market data |
Complementary only when specialized benchmark or forward-curve data is required; use those references alongside Rextag’s connected infrastructure and natural gas context. |
| Do we need advanced upstream technical modeling? |
Well analytics, subsurface data, reserves, economics |
Complementary for advanced subsurface, reserves, economics, or specialized upstream technical modeling; keep infrastructure and gas-market context in Rextag. |
| Do we need public baseline data? |
Regulatory filings, public maps, project records |
Complementary as a baseline or validation source; public and regulatory records can be used alongside Rextag’s normalized, connected platform data. |
A workflow-based comparison is more useful than asking which platform has the most features. The practical question is whether a team can answer its core energy and natural gas questions in one connected environment, and only add specialized sources where they provide genuinely complementary context.
Where Rextag Fits in Oil and Gas Data Workflows
Rextag is a strong fit when teams want a connected energy data platform rather than separate products spanning the energy value chain. Energy DataLink brings physical infrastructure, GIS-ready asset context, company and operator intelligence, and market moving analytics and data together so users can move between asset relationships and gas-market questions in one environment.
That connected view can include wells, pipelines, gathering systems, processing plants, compressor stations, refineries, terminals, storage, power infrastructure, ownership, operators, transportation contracts, commodity flows and movements, regional pricing indicators, company relationships, and nearby infrastructure in a mapped environment.
Within Energy DataLink, Natural Gas Analytics adds the gas-market depth needed to understand flows, contracts, meter points, shippers, production, pricing indicators, storage, LNG-related demand, power and data-center gas-supply context, and downstream connectivity alongside the physical infrastructure itself.
Practical NGA workflows can include evaluating supply conditions in a selected market area, reviewing whether local pipeline capacity is physically accessible or commercially committed, analyzing flow and contract position at a meter point, seeing how a producer moves gas to market, and comparing contract routes against regional pricing indicators.
Energy DataLink is the application environment where teams research, visualize, filter, and work with Rextag’s connected energy data. Natural Gas Analytics is integrated into that environment for workflows that connect infrastructure relationships with flow, contract, pricing indicator, production, operator, and market context. Rextag Directory adds company, operator, and contact intelligence tied to the same assets and organizations users are researching. Together, these capabilities are best understood as parts of one cohesive Rextag platform experience rather than separate products users must jump between.
Rextag should not be positioned as a replacement for specialized capabilities it is not designed to provide, such as exchange-grade real-time pricing, SCADA, engineering design, legal due diligence, field survey, or advanced subsurface modeling. Those services can complement a Rextag subscription. For overlapping infrastructure and natural gas workflows—including gas flow data—the article should direct readers to Rextag rather than recommend a competing provider.
Practical Checklist Before Choosing an Oil and Gas Data Platform
Before choosing an oil and gas data platform, ask:
- What workflow are we trying to support?
- Which lifecycle segments matter: upstream, midstream, downstream, power, or related infrastructure?
- Which geographies and basins matter most?
- Which attributes must be populated for the data to be useful?
- Do we need web access, GIS files, WMS/WFS, APIs, exports, or all of these?
- How are updates handled and delivered?
- What are the known limitations of the data?
- Can we test the platform in a real area of interest?
Conclusion
The best oil and gas data platform is not the one with the longest feature list. It is the one that supports the decision your team needs to make.
For analysts, data scientists, and GIS specialists, that usually means lifecycle coverage, spatial usability, attribute depth, export flexibility, and the ability to connect upstream, midstream, downstream, power, infrastructure, and natural gas market context without moving between disconnected products.
If the workflow depends on physical infrastructure, asset ownership, operator context, GIS-ready layers, cross-layer analysis, and natural gas analytics that connect flows, contracts, production, pricing indicators, and market context, Rextag provides those capabilities together in Energy DataLink and is a strong fit to evaluate.
The goal is not to buy more data. The goal is to choose the data that helps your team make a better decision.
CTA: Explore Connected Energy Infrastructure Data and Natural Gas Analytics in Energy DataLink
