Unified Data Model
Organize customer, product, case, order, and event data into governed analytical domains.
A governed analytical data layer for operational, customer, product, and AI-ready enterprise datasets.
NextDB brings warehouse, lakehouse, semantic catalog, governance, and AI retrieval patterns together for teams replacing fragmented Snowflake, BigQuery, Synapse, and legacy EDW deployments.
Positioned to replace
Snowflake, BigQuery, Azure Synapse, Oracle EDW

EDW
Warehouse and lakehouse patterns
Governed
Catalog, lineage, policies
AI-ready
Embeddings and semantic layers
A productized NextBrick operating layer built around real enterprise workflows, not a thin wrapper around one vendor.
Organize customer, product, case, order, and event data into governed analytical domains.
Prepare structured data for natural-language querying, copilots, and RAG pipelines.
Track workload cost, query behavior, and performance so teams can right-size analytics operations.
Apply access control, quality checks, retention, lineage, and auditability from ingestion to consumption.
20 transactions x 1,000 rows, same workload, one host, no cloud markup.
Battlecard
Versus BigQuery and Snowflake
29x faster than Snowflake
202x faster than BigQuery
0 egress fees
0 per-query billing
| Platform | TPS | Rows/s | Elapsed (s) | Rows Written |
|---|---|---|---|---|
| NextDB 1.0 | 45.64 | 45,644 | 0.44 | 20,000 |
| Snowflake 10.14 | 1.56 | 1,560 | 12.82 | 20,000 |
| BigQuery managed | 0.23 | 226 | 88.65 | 20,000 |

The product is packaged into clear capabilities so teams can adopt incrementally and expand as the platform matures.