Clear decision guides for Business Intelligence & Data Engineering
Straight comparisons of the tools you're choosing between, honest about where each one falls short. Where we quote a benchmark, we show its source.
16 guides for Business Intelligence & Data Engineering of 1,000
Protecting Warehouse Credentials Across Multiple Client Pipelines
How BI and data engineering consultancies should isolate client warehouse credentials, and how Doppler and Vault each fit, before choosing a secrets tool.
Pipelines Fail Quietly. Detection Is the Real Gap.
For BI and data engineering consultants, a stale dashboard is often the first sign something failed hours ago. Compare incident.io and PagerDuty for that gap.
Securing a Client's Data Pipeline: A Worked Example
A worked example of scanning an Airflow and dbt pipeline for a business intelligence and data engineering consultancy, Snyk versus GitHub Advanced Security.
Catching a Broken Schema Before It Reaches a Client's Dashboard
A worked example of testing data pipelines in CI for BI and data engineering consultants, comparing GitHub Actions and GitLab CI for schema and quality gates.
Database Infrastructure for BI and Data Engineering Consultancies
Data analytics and BI consultancies need read scaling and ETL-friendly infrastructure. Here's how Supabase and AWS RDS compare for that workload.
Wiz vs Prisma Cloud for Data Pipelines That Vanish in Minutes
A data analytics consultancy's real workload is a job cluster that spins up, runs for minutes, and disappears. Here's how Wiz and Prisma Cloud each handle that.
Datadog vs New Relic for a BI and Data Engineering Shop
A BI or data engineering consultancy pays twice when it monitors its own warehouse spend. Compare Datadog and New Relic on pipeline and cost visibility.
SOC 2 for BI and Data Engineering Consultancies
SOC 2 for business intelligence and data engineering firms building pipelines across client warehouses, and how Vanta, Drata and Secureframe compare.
Choosing Endpoint Security for a BI and Data Consultancy
Exported CSVs and cached query results sit on analytics consultants' laptops long after the work ends. How CrowdStrike and SentinelOne fit that gap.
Build a Cloud Comparison Worksheet for a BI or Data Engineering Client
A worksheet-style walkthrough for business intelligence and data engineering consultants comparing AWS against Google Cloud for a client warehouse.
Kong vs Apigee for BI Teams Whose Queries Run Long
Analytics endpoints misbehave in ways transactional APIs never do. How Kong and Apigee handle timeouts, caching, and per-consumer quotas differently.
Kubernetes vs. ECS for Scheduled ETL and BI Workloads
Most data engineering work is scheduled batch jobs, not always-on services. Compare Kubernetes and ECS approaches to running ETL and BI pipelines for clients.
LaunchDarkly or Split for Rolling Out a New Data Pipeline
BI and data engineering consultancies use flags to canary a new pipeline or model version. Here is how LaunchDarkly and Split compare for that job.
Backstage vs Port When Lineage Matters More Than Git
A broken dashboard refresh shouldn't mean a Slack archaeology session. See how Backstage and Port differ once warehouse and orchestration metadata are involved.
Cursor vs GitHub Copilot for Data and Analytics Consultants
The unit of work for a data consultant is a query, a DAG node, or a notebook cell. How that changes the Cursor vs GitHub Copilot decision for client warehouses.
Setting Up Auth0 or Clerk for Client-Facing BI Dashboards
A step-by-step setup for BI and data engineering consultancies choosing Auth0 or Clerk to control client access to shared dashboards.