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Why choose GreptimeDB?
Broad Ecosystem
Embracing Open-source. Compatible with MySQL, PostgreSQL, OpenTSDB, InfluxDB, Prometheus, etc. Fast and easy integration with your current data stack.
Hybrid Time-series & Analytical Processing (HTiAP)
High-frequency and multi-dimensional read and write. Utilizing PromQL for Observability or SQL + Python for powerful in-database analysis.
Efficient Storage and Compute
Ultra-low storage cost by object storage and high data compression ratio. Built-in data analysis solution to avoid copying data into external data warehouse.
Distributed, Reliable and Highly Available
Scale each module easily and independently with the decoupled, cloud-native architecture. Ensure data reliability and availability by configurable replicas and auto failover mechanism.
Try it now
On Kubernetes
On Local machine
You can run GreptimeDB standalone on your local machine for testing and development.
On Cloud
GreptimeDB is designed for running in shared cloud environment, which enables faster on-boarding and zero-maintainence for users.
Step 1. Download gtctl, the command-line tool for GreptimeDB
curl -L https://github.com/GreptimeTeam/gtctl/raw/develop/hack/install.sh | sh
Step 2. Verify if gtctl is successfully downloaded and works on your platform
./gtctl version
Step 3. Create Kubernetes namespace for GreptimeDB
kubectl create namespace greptimedb-test
Step 4. Deploy GreptimeDB
./gtctl cluster create greptimedb-test -n greptimedb-test
Step 5. Use kubectl to port forward the frontend
You can get the command from output of Step4:
kubectl port-forward svc/greptimedb-test-frontend -n greptimedb-test 4002:4002
Step 6. Connect to the database with standard MySQL client
mysql -h 127.0.0.1 -P 4002
Check our Getting Started guide to create your first table.
