Welcome
Tiger Data makes Postgres better for your time-series, real-time analytics, and AI workloads.
Create
Track time-series data
Store and analyze time-stamped data from IoT sensors, metrics, events, and logs. Automatically partition by time for fast queries.
Build AI apps
Create intelligent applications with vector search, semantic similarity, and AI-powered analytics. Build RAG systems and recommendation engines.
Real-time analytics
Run complex analytical queries on streaming data with continuous aggregates. Get instant insights from live metrics and events.
Agentic Postgres
Deploy AI assistants that understand and act on your data. Build autonomous agents with memory, reasoning, and decision-making capabilities.
Core features
Hypertables
Postgres tables optimized for time-series data with automatic partitioning by time. Scale to billions of rows with fast queries across time ranges.
Continuous aggregates
Materialized views that automatically refresh in the background. Pre-compute expensive aggregations for instant dashboard performance.
Columnstore
Hybrid row-columnar storage engine for analytics workloads. Achieve 90%+ compression and 100x faster analytical queries.
AI & vectors
Vector search with pgvector and pgvectorscale for similarity matching. Build semantic search and recommendation systems at scale.
pgai
Bring AI models directly to your database with built-in LLM integration. Run embeddings, completions, and reasoning without moving data.
Retention
Automatically delete old data based on time-based policies. Free up storage and maintain performance as your data grows.
Deploy and operate
Deploy
Launch your database in minutes on Tiger Cloud or self-host with TimescaleDB. Choose the deployment that fits your requirements.
Monitor
Track performance metrics, query statistics, and resource usage in real time. Export to Datadog, Prometheus, or CloudWatch.
Scale
Grow from gigabytes to petabytes with tiered storage and automatic partitioning. Add compute and storage independently as needed.
Secure
Protect your data with automated backups, point-in-time recovery, and high availability. Configure VPC peering and encryption.
Optimize
Improve query performance with compression, indexing strategies, and columnar storage. Tune configurations for your workload.
Integrate
Connect with Grafana, Kafka, LangChain, Terraform, and hundreds of other tools. Works with any Postgres-compatible integration.
Choose deployment type
Quick Starts
5-min setup
Create your first Tiger Cloud service and connect from your application. Start building in minutes with no infrastructure setup.
First query
Run SQL queries directly from the Tiger Console. Learn the basics of querying time-series and relational data.
Migrate data
Move your existing PostgreSQL, MySQL, or MongoDB database to Tiger Cloud. Use live migration for zero-downtime transitions.
Build AI app
Create a RAG application with vector search and LLM integration. Build intelligent features powered by your data.
IoT sensor
Ingest and analyze simulated IoT sensor data with hypertables. Learn time-series best practices with a complete example.
Analytics dashboard
Visualize your time-series data with Grafana dashboards and alerts. Connect to Tiger Cloud in minutes.
Migration guides
From PostgreSQL
Migrate your PostgreSQL database to Tiger Cloud with live replication. Minimize downtime and preserve your existing schemas.
From MySQL
Convert your MySQL database to PostgreSQL and migrate to Tiger Cloud. Automated tools handle schema translation and data transfer.
From MongoDB
Move from MongoDB to relational time-series storage. Transform document-based data into optimized time-series tables.
From InfluxDB
Migrate time-series data from InfluxDB to Tiger Cloud. Gain SQL capabilities while maintaining time-series performance.