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GreptimeDB 1.0 introduces three built-in SQL window functions for anomaly detection (Z-Score, MAD, IQR), enabling anomaly scoring directly in SQL without external services.
GreptimeDB v1.0 introduces Pending Rows Batcher, a three-stage pipeline that moves CPU-intensive work off the Datanode's critical section, improving Prometheus remote write throughput from 1.20M to 2.17M points/sec and reducing Datanode CPU usage by 20%.
GreptimeDB v1.0 integrates DataFusion's dynamic filter pushdown to accelerate TopK queries by pushing runtime bounds to the scan layer, reducing query time from 29 seconds to 0.21 seconds on a 5B-row trace table.
GreptimeDB is a unified database for metrics, logs, and traces, offering OpenTelemetry-native ingestion, SQL/PromQL querying, object storage for cost reduction, and edge-to-cloud deployment.
GreptimeDB's flat-format queries now support prefiltering on any column (tags, fields, timestamps), not just primary keys, delivering up to 4.5x faster performance. Additionally, the mito2 storage engine removed its legacy scan path, cleaning up about 1,800 lines of code.