Use Case

ANSI SQL on your lakehouse. No warehouse copy.

Stop paying to copy your data to a warehouse so analysts can query it. DataLynxr's vectorized SQL engine queries your Iceberg and Delta tables directly on S3, GCS, or ADLS.

Capabilities

What you get with DataLynxr SQL

Vectorized execution engine

JIT-compiled columnar execution. Sub-second P95 on 10TB TPC-DS queries. SIMD-optimized aggregations and joins.

Full ANSI SQL

Window functions, CTEs, sub-queries, lateral joins, EXPLAIN plans. Compatible with Tableau, Metabase, Superset, and any JDBC/ODBC client.

Predicate pushdown + pruning

Z-ordering and column statistics push filters down to storage before reading. Pay only for data that actually answers your query.

Time-travel queries

Query any historical snapshot of your table up to 7 days back. Audit changes, debug anomalies, roll back bad writes.

Schema evolution

Add columns, rename columns, or evolve partition layouts without rewriting all existing data. Iceberg and Delta handle it transparently.

BI tool compatible

JDBC and ODBC drivers available. Connect Tableau, Metabase, Redash, Apache Superset, or any SQL client directly.

Comparison

vs. Copy-to-warehouse approach

Dimension DataLynxr SQL Copy-to-Warehouse
Data freshnessReal-time (live table)4-hour refresh lag (ETL schedule)
Cloud egress costStorage read onlyEgress to warehouse + storage write
Data copy requiredNoYes — full or incremental copy
ETL pipelines to maintain03–6 Airflow DAGs typical
Schema drift riskNo — same schema as sourceSource/warehouse schema mismatch common
Time-travel7-day snapshot built-inRequires custom CDC implementation

Query your lake in 10 minutes.

Connect your S3 bucket and run your first SQL query in under 10 minutes. Free tier — no credit card.