Create a cloud service

Tiger Cloud offers a range of capabilities to accommodate your real-time analytics and AI and vector workloads. Learn more about each of them and create your first service in Tiger Console

Tiger Cloud

is the modern data platform for all your applications. It enhances to handle time series, events, real-time analytics, and vector search—all in a single database alongside transactional workloads.

You get one system that handles live data ingestion, late and out-of-order updates, and low latency queries, with the performance, reliability, and scalability your app needs. Ideal for IoT, crypto, finance, SaaS, and a myriad other domains, allows you to build data-heavy, mission-critical apps while retaining the familiarity and reliability of .

A is a single optimised instance of . is extended with innovations in the database engine and cloud infrastructure to deliver speed without compromise. A instance is 10-1000x faster at scale! A is ideal for applications requiring strong data consistency, complex relationships, and advanced querying capabilities. Get ACID compliance, extensive SQL support, JSON handling, and extensibility through custom functions, data types, and extensions. To the you know and love, adds the following capabilities:

• Real-time analytics: store and query time-series data at scale for real-time analytics and other use cases. Get faster time-based queries with s, s, and columnar storage. Save money by compressing data into the , moving cold data to low-cost bottomless storage in Amazon S3, and deleting old data with automated policies.
• AI-focused: build AI applications from start to scale. Get fast and accurate similarity search with the pgvector and pgvectorscale extensions. Create vector embeddings and perform LLM reasoning on your data with the pgai extension.
• Hybrid applications: get a full set of tools to develop applications that combine time-based data and AI.

All s include the tooling you expect for production and developer environments: live migration, automatic backups and PITR, high availability, s, data forking, connection pooling, tiered storage, usage-based storage, secure in- SQL editing, metrics and insights, streamlined maintenance, and much more. continuously monitors your s and prevents common out-of-memory crashes.

You manage your s and interact with your data in CONSOLE using the following modes:

To start using for your data:

1. Create a : register to get access to as a centralized point to administer and interact with your data.
2. Create a : that is, a database instance, powered by , built for production, and extended with cloud features like transparent data tiering to object storage.
3. Connect to your : to run queries, add and migrate your data from other sources.

Create a

You create a to manage your s and data in a centralized and efficient manner in . From there, you can create and delete s, run queries, manage access and billing, integrate other services, contact support, and more.

Tiger Cloud

You create a standalone account to manage as a separate unit in your infrastructure, which includes separate billing and invoicing.

Create a

Now that you have an active , you create and manage your s in . When you create a , you effectively create a blank database with additional features available under your . You then add or migrate your data into this database.

Connect to your

To run queries and perform other operations, connect to your :

1. Check your is running correctly

   In , check that your is marked as Running.

   

2. Connect to your

   Connect using data mode or SQL editor in , or psql in the command line:

   Data mode in Console

   And that is it, you are up and running. Enjoy developing with .

Quick recap. You:

• Manage your s in the in : add s and enable high availability, compress data into the , change parameters, and so on.
• Analyze your data in the in : write queries with autocomplete, save them in folders, share them, create charts/dashboards, and much more.
• Store configuration and security information in your config file.

What next? Try the key features offered by , see the tutorials, interact with the data in your using your favorite programming language, integrate your with a range of third-party tools, plain old Use products, or dive into the API reference.