The Matrix
A scoring matrix for security data tools.
Candidate tools scored per component, weighted by your workload. Public methodology and catalog below. The scored version — with reasoning, vendor-claim-vs-shipped-reality deltas, and recommended bundles — is the paid output.
Components
- 0
Substrate Pattern
Composed vs. Managed (Databricks, AWS Security Lake, Snowflake)
- 1
Lakehouse / Storage Format
Iceberg · Delta Lake · Hudi
- 2
Catalog / Metadata
Hive Metastore · Polaris · Nessie · Unity · Glue
- 3
Query Engine
ClickHouse · Dremio · StarRocks · Trino · DuckDB
- 4
Ingestion / Route
Tenzir · Vector · Cribl · Kafka Connect · native shippers
- 5
Graph / Visualization / Analyst UX
Splunk SH federated · Grafana · Superset · custom · vendor SOC UIs
- 6
Storage Tier
S3 (Standard / IA / Glacier) · MinIO · Wasabi · NetApp · Dell ECS
Methodology
- Each component is scored against weighted criteria specific to your environment.
- Scores: 1–5 (5 = best fit).
- Weights sum to 100, assigned per engagement based on workload.
- Final scores are weight-adjusted; ties broken by documented qualitative reasoning.
- Cross-component dependencies are explicit (catalog choice constrains query engine, etc.).
Client materials
The four-phase decision framework, the per-component scoring criteria, the 90-vendor evaluation database, and the architecture decision records are gated for clients and engaged prospects.
Access client materials →