A Tiger Cloud service is a Postgres database instance extended by Tiger Data with custom capabilities. This means that any third-party solution that you can integrate with Postgres, you can also integrate with Tiger Cloud. See the full list of Postgres integrations.Some of the most in-demand integrations are listed below.
Connectors
| Name | Description |
|---|---|
| Synchronize data to external destinations like data lakes | |
| Ingest data from external Postgres databases | |
| Ingest data from Amazon S3 buckets | |
| Stream data from Apache Kafka topics |
Coding
| Name | Description |
|---|---|
| Explore code examples, SDKs, and client libraries in popular programming languages |
Authentication and security
BI and visualization
| Name | Description |
|---|---|
| Build and optimize data APIs for analytics applications | |
| Explore, analyze, and share business insights with a BI platform | |
| Create dashboards and visualize business data without SQL expertise | |
| Visualize data and build interactive dashboards with Microsoft Power BI | |
| Create and explore data visualizations and dashboards | |
| Create interactive visualizations and dashboards with Tableau |
Configuration and deployment
| Name | Description |
|---|---|
| Run event-driven serverless code without managing infrastructure | |
| Deploy and run JavaScript and TypeScript applications at the edge | |
| Manage and automate database migrations using version control | |
| Deploy and manage containerized applications with Kubernetes | |
| Track, version, and automate database schema changes | |
| Define and manage cloud infrastructure using code | |
| Deploy and scale web applications and services easily | |
| Provision and manage infrastructure as code with Terraform |
Data engineering and extract, transform, load
| Name | Description |
|---|---|
| Sync data between various sources and destinations | |
| Build, train, and deploy ML models with Amazon SageMaker | |
| Programmatically author, schedule, and monitor workflows | |
| Build and execute batch and streaming data pipelines | |
| Stream high-performance data pipelines and analytics | |
| Run serverless code without managing infrastructure | |
| Transform and model data in your warehouse using SQL-based workflows | |
| Capture and stream real-time database changes | |
| Build and manage data pipelines effortlessly | |
| Enhance data lakes with ACID transactions and schema enforcement | |
| Simplify interactions with Firebase services | |
| Extract, load, and transform data from various sources | |
| Integrate with Supabase for backend services |
Data ingestion and streaming
| Name | Description |
|---|---|
| Process large-scale data workloads quickly using distributed computing | |
| Manage and scale Apache Kafka-based event streaming applications | |
| Enable real-time synchronization between databases and frontend applications | |
| Deploy an enterprise-grade MQTT broker for IoT messaging | |
| Stream and synchronize data in real time between different systems | |
| Sync data from multiple sources to your data warehouse | |
| Process real-time data streams with fault-tolerant distributed computing | |
| Connect operational technology sources, model the data, and stream it | |
| Stream and process real-time data as a Kafka-compatible platform | |
| Ingest, process, and analyze real-time data streams |
Observability and alerting
| Name | Description |
|---|---|
| Monitor and analyze data from AWS and on-premises environments | |
| Monitor, trace, and diagnose distributed applications | |
| Collect and analyze telemetry data from cloud and on-premises environments | |
| OpenTelemetry Native Observability built on CNCF Open Standards | |
| Comprehensive monitoring and analytics platform | |
| Query, visualize, and alert on metrics and logs | |
| Monitor application performance and detect issues in real-time | |
| Trace and diagnose distributed transactions for observability | |
| Monitor applications, infrastructure, and logs for performance insights | |
| Collect and analyze telemetry data for observability across systems | |
| Track performance and health of systems and applications | |
| Monitor application performance with an open-source observability tool | |
| Collect and ship metrics and events to monitoring platforms |
Development tools
| Name | Description |
|---|---|
| Collaborate on data science projects with a cloud-based notebook platform | |
| Develop scalable and secure web applications using a Python framework | |
| Build applications that integrate with language models | |
| Build high-performance, memory-safe applications | |
| Create interactive data applications and dashboards using Python |
Logging and system administration
| Name | Description |
|---|---|
| Collect, filter, and forward system logs for centralized logging | |
| Generate database schema documentation and visualization |
Query and administration
| Name | Description |
|---|---|
| Query, manage, and develop Postgres databases | |
| Universal database tool with SQL editing and visualization | |
| Create admin panels and dashboards for business applications | |
| Instantly generate GraphQL APIs from databases with access control | |
| Analyze data, create reports, and share insights with teams | |
| Run a cloud-native, serverless Postgres database with automatic scaling | |
| Manage and administer Postgres databases through a graphical interface | |
| Connect using native Postgres tools and protocols | |
| Simplify database access with an open-source ORM for Node.js | |
| Command-line interface for Postgres | |
| Move and synchronize data across multiple database platforms | |
| SQL editor and database management tool | |
| Query, visualize, and share data from multiple sources | |
| Interact with SQL databases in Node.js using an ORM | |
| Manage database operations using a Python SQL toolkit and ORM | |
| Build and deploy GraphQL APIs with data from multiple sources | |
| Work with databases in TypeScript and JavaScript using an ORM |
Secure connectivity to Tiger Cloud
| Name | Description |
|---|---|
| Connect your AWS infrastructure to Tiger Cloud | |
| Connect your on-premise data center to Tiger Cloud | |
| Connect your Google Cloud infrastructure to Tiger Cloud | |
| Connect your Azure infrastructure to Tiger Cloud |
Workflow automation and no-code tools
| Name | Description |
|---|---|
| Create internal business applications with a low-code platform | |
| Add durable workflows to your code and make apps resilient to any failure | |
| Automate workflows and integrate services with a no-code platform | |
| Build custom internal tools quickly using a drag-and-drop interface | |
| Develop internal tools and business applications with a low-code builder | |
| Automate workflows by connecting different applications and services |