BI and data platform selection for Snowflake, Databricks, BigQuery, Microsoft Fabric, Redshift, Power BI, Tableau, and Looker.
Lightbridge Cloud provides vendor-neutral BI and data platform selection across Snowflake, Databricks, BigQuery, Microsoft Fabric, Redshift, Power BI, Tableau, and Looker: requirements, RFP management, and architecture fit assessment run in-house. Lightbridge Cloud then assigns the build to a vetted delivery partner, staying accountable through its own project management and technical leadership from kickoff to go-live.
Lightbridge Cloud BI and data platform selection capabilities.
Data Warehouse and Lakehouse Platform Selection
Snowflake, Databricks, BigQuery, Redshift, and Microsoft Fabric evaluated against data volume, workload mix, existing cloud footprint, and total cost across compute and storage, scored in-house before a delivery partner is ever engaged.
BI and Visualization Layer Selection
Power BI, Tableau, and Looker assessed for semantic-layer depth, existing Microsoft or Google footprint, and self-service reporting needs, weighed against each other rather than chosen by name recognition alone.
Vendor Evaluation and RFP Management
Candidate platforms scored on data volume, query concurrency, and workload mix rather than a generic checklist, with the RFP process run by a firm holding no reseller quota on any of them.
Data Architecture and Migration Strategy
Migration planning for a move off spreadsheets, a legacy warehouse, or a platform outgrown by current data volume, specified in-house for the delivery partner to execute.
Delivery Partner Selection and Vetting
Lightbridge Cloud selects and vets the delivery partner for the chosen platform, matched to the specific engagement rather than a single default vendor relationship.
Program Governance and Technical Leadership
Lightbridge Cloud holds project management and technical leadership through go-live, regardless of which partner builds the environment.
BI and data platform selection, delivered through vetted partners.
Lightbridge Cloud runs BI and data platform selection in-house across all eight candidate platforms: Snowflake, Databricks, BigQuery, Microsoft Fabric, and Redshift for the data warehouse and lakehouse layer, and Power BI, Tableau, and Looker for the visualization layer on top. Whether the work calls for a Snowflake implementation, a Databricks consultant to stand up a lakehouse, or a Microsoft Fabric consultant for the Microsoft stack, that hands-on build comes from a rigorously vetted delivery partner, never an in-house Lightbridge build team, under Lightbridge Cloud's own project management and technical leadership.
Many organizations start without a named platform in mind. The question looks closer to data analytics consulting, business intelligence consulting, or data warehouse consulting than a vendor RFP, because the harder decision (cloud data warehouse, data lake, or a lakehouse that blends both) has not been made yet. Lightbridge Cloud starts there: a data warehouse consultant engagement that scopes data volume, workload mix, and existing cloud footprint before narrowing to a shortlist, rather than starting from a platform a partner has already picked.
BigQuery and Redshift also surface inside the Lightbridge Cloud Google Cloud and AWS architecture practices, where they sit as the analytics layer of a broader infrastructure engagement rather than a standalone selection. When what looks like a data lake architecture decision is really a cloud infrastructure decision, Lightbridge Cloud scopes it there instead of forcing it into a platform-selection RFP it does not need.
For the underlying concepts (what a data warehouse is, how a data lakehouse differs, and how the major platforms compare), see the Lightbridge Cloud data warehouse guide. That guide explains the landscape. This page is the vendor-neutral selection and delivery-management engagement built on top of it.
No reseller quota on Snowflake, Databricks, BigQuery, Microsoft Fabric, Redshift, Power BI, Tableau, or Looker.
Lightbridge Cloud runs selection and RFP management in-house, then hands the build to a vetted delivery partner under our own project management and technical leadership.
Frequently asked questions.
Does Lightbridge Cloud implement Snowflake, Databricks, BigQuery, Microsoft Fabric, Redshift, Power BI, Tableau, or Looker in-house?
No. Lightbridge Cloud runs BI and data platform selection, requirements definition, and RFP management in-house for all eight platforms. Hands-on implementation runs through Lightbridge Cloud's vetted delivery partner network, matched to whichever platform the selection process points to, under Lightbridge Cloud's own project management and technical leadership.
How does Lightbridge Cloud decide between Snowflake, Databricks, BigQuery, Redshift, and Microsoft Fabric for a data warehouse or lakehouse?
Lightbridge Cloud scores each platform against data volume, workload mix (heavy data engineering versus straightforward reporting), existing cloud footprint, and total cost across compute and storage, independent of any resale relationship. An organization already committed to Azure typically weighs Microsoft Fabric heavily, an AWS-native shop weighs Redshift, and a team wanting a lakehouse strong in data engineering and machine learning looks hardest at Databricks. Snowflake and BigQuery compete on near-zero administration and a fully serverless model, respectively, across any cloud.
What is the difference between BI platform selection and data warehouse platform selection?
Data warehouse and data lake platforms (Snowflake, Databricks, BigQuery, Redshift, and Microsoft Fabric) store and process the underlying data. Power BI, Tableau, and Looker sit on top as the visualization and reporting layer end users actually touch. Lightbridge Cloud treats the two as one selection engagement because a warehouse choice constrains which BI tool performs best against it, and evaluating them separately risks a mismatch discovered only after both are already purchased.
How does this page relate to the Lightbridge Cloud data warehouse guide?
The data warehouse guide, at /guides/data-warehouse, explains the concepts: what a data warehouse is, how a lakehouse differs, and the platform landscape at a conceptual level. This page is the commercial engagement built on those concepts: vendor-neutral selection across Snowflake, Databricks, BigQuery, Microsoft Fabric, Redshift, Power BI, Tableau, and Looker, plus the delivery-partner management that carries a selection through to a working platform.
Does Lightbridge Cloud manage the implementation partner for BI and data platforms?
Yes. Lightbridge Cloud selects and vets the delivery partner, sets the migration plan and data architecture in-house, and holds project management and technical leadership through go-live. The partner executes the build. Lightbridge Cloud stays accountable for the outcome.
How does a BI or data platform integrate with CRM and ERP systems?
Lightbridge Cloud designs the integration architecture connecting a selected data warehouse or BI platform to Salesforce, NetSuite, and other source systems, then delivers that integration layer in-house through its MuleSoft and Boomi practice. This is the one part of a BI and data platform engagement Lightbridge Cloud builds hands-on: the pipelines that move data into the platform, not the platform itself.
Is Lightbridge Cloud a reseller of Snowflake, Databricks, BigQuery, Microsoft Fabric, Redshift, Power BI, Tableau, or Looker?
No. Lightbridge Cloud holds no partner-tier incentive with any of the eight platforms and sells no licenses. Platform recommendations follow data volume, workload fit, and total cost, not a reseller quota or referral relationship.
Get a BI and data platform fit assessment.
Lightbridge Cloud evaluates your data volume and workload mix against Snowflake, Databricks, BigQuery, Microsoft Fabric, Redshift, Power BI, Tableau, and Looker, and delivers a selection and implementation roadmap. Hands-on build runs through our vetted partner network for every platform.