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GreptimeDB vs. QuestDB

QuestDB OSS is optimized for fast ingestion on a single node — clustering and HA are Enterprise-only. It has no multi-signal observability. When you outgrow one machine or need logs and traces alongside metrics, you hit a wall.

QuestDB comparison at a glance.
See what changes operationally at scale.

QuestDB is a high-performance time-series database optimized for fast ingestion and SQL queries on a single node. Built in Java, C++, and Rust, it implements ANSI SQL with time-series extensions (SAMPLE BY, LATEST ON) and supports PostgreSQL wire protocol. Excels at single-node performance. Clustering and HA are available in the Enterprise edition only. Lacks multi-signal observability and native PromQL/OpenTelemetry support.

CHALLENGER

QuestDB

Single-node optimized · clustering/HA Enterprise-only · no multi-signal observability

VS

GREPTIMEDB

GreptimeDB

Distributed, multi-signal observability on object storage

Feature comparison
Feature/AspectGreptimeDBQuestDB
Data ModelMetrics, Logs & Traces in one databaseHigh-Performance Time-Series Database
Value ModelMulti-Value (supports complex data structures)Multi-Value (columns with various data types)
Multi-model SupportMetrics, Logs & Traces in one databaseTime-series data only
Query LanguagesSQL & PromQL (dual interface)SQL with time-series extensions (SAMPLE BY, LATEST ON)
Ingestion ProtocolsSQL
gRPC
InfluxDB Line Protocol
Prometheus Remote Storage
OpenTelemetry
Loki Push API
Elasticsearch Bulk API
HTTP API
InfluxDB Line Protocol
PostgreSQL wire
REST API
CSV upload
Storage FormatApache Parquet (columnar, compressed)Custom columnar format with native compression
Data RetentionFlexible TTL policies with tiered storagePartitioning and data lifecycle management
Continuous AggregationBuilt-in SQL aggregation, Pipeline ETL engine & Flow streaming computationSQL aggregation functions with SAMPLE BY
Use CasesUnified observability, real-time analytics, IoT monitoring, edge computingFinancial tick data, IoT sensors, real-time dashboards, trading systems
ArchitectureCloud-native distributed with compute-storage disaggregationSingle-node optimized (OSS); clustering available in Enterprise
Deployment OptionsSingle-node, cluster, Kubernetes-native, edge-to-cloud with unified APIPrimarily single-node with enterprise clustering
Storage ScalabilityObject storage integration with unlimited capacityVertical scaling (OSS); horizontal scaling Enterprise-only
High AvailabilityNative clustering with automatic failoverEnterprise-only (OSS is single-node, no built-in HA)
LicenseApache 2.0Apache 2.0
Operational ComplexitySingle unified system with simplified Kubernetes operationsSimple single-node deployment, complex for clustering
Written LanguageRust (memory safety, performance)Java, C++, Rust (performance hybrid)

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