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GreptimeDB vs. TimescaleDB

TimescaleDB is a PostgreSQL extension — and inherits PostgreSQL's scaling ceiling. In TSBS benchmark tests, GreptimeDB writes 2.17x faster, compresses data to 1/18 the storage, and queries up to 67x faster.

PostgreSQL extension hitting its ceiling?
There's a purpose-built alternative.

TimescaleDB is a time-series database built as a PostgreSQL extension, using hypertables to partition data across time and space dimensions. It offers full SQL compatibility and time-series specific functions like continuous aggregates and data retention policies. Multi-node distributed hypertables have been sunset; the current scaling model is single-node with Hypercore columnar engine (available in community edition since v2.18). Click here to read the full performance comparison report between GreptimeDB and TimescaleDB.

CHALLENGER

TimescaleDB

PostgreSQL extension · single-node scaling with Hypercore · multi-node sunset

VS

GREPTIMEDB

GreptimeDB

Purpose-built time-series engine · horizontal scaling · cloud-native object storage

Feature comparison
Feature/AspectGreptimeDBTimescaleDB
Data ModelMetrics, Logs & Traces in one databasePostgreSQL-based Time-Series Database
Value ModelMulti-Value (supports complex data structures)Multi-Value (relational model with time-series optimization)
Multi-model SupportMetrics, Logs & Traces in one databaseTime-series data only (requires separate systems for logs/traces)
Ingestion ProtocolsSQL
gRPC
InfluxDB Line Protocol
Prometheus Remote Storage
OpenTelemetry
Loki Push API
Elasticsearch Bulk API
HTTP API
SQL
PostgreSQL protocol
COPY commands
Various connectors
Query LanguagesSQL & PromQL (dual interface)SQL (PostgreSQL-compatible)
Data RetentionFlexible TTL policies with automatic tieringData retention policies with automatic deletion
Continuous AggregationBuilt-in SQL aggregation, Pipeline ETL engine & Flow streaming computationContinuous aggregates (materialized views)
Use CasesUnified observability, real-time analytics, IoT monitoring, edge computingFinancial analytics, IoT applications, infrastructure monitoring, application metrics
ArchitectureCloud-native distributed with compute-storage disaggregationPostgreSQL extension with hypertable partitioning
Storage FormatApache Parquet (columnar, compressed)PostgreSQL heap storage
Hypercore columnar (community edition since v2.18)
PostgreSQL CompatibilityNative SQL support with observability extensionsFull PostgreSQL compatibility and ecosystem
Scaling ModelHorizontal scaling with stateless compute nodesSingle-node with Hypercore (multi-node distributed hypertables sunset)
High AvailabilityNative clustering with automatic failoverPostgreSQL HA solutions (streaming replication, etc.)
LicenseApache 2.0Apache 2.0 Edition / Community Edition (Timescale License)
Cloud IntegrationNative object storage support with S3, GCS, etc.TimescaleDB Cloud service
Deployment OptionsSingle-node, cluster, Kubernetes-native, edge-to-cloud with unified APIPostgreSQL-based deployment, managed cloud service
Written LanguageRust (memory safety, performance)C (PostgreSQL extension)

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