TigerGraph Cloud 4 Overview

Purpose-built for graph analytics, TigerGraph Cloud 4 empowers users to independently scale compute and storage resources, optimizing performance and cost-efficiency according to their specific requirements.

The platform also comes with intuitive interfaces, designed to reduce the learning curve and enable users to quickly leverage the benefits of graph analytics.

TigerGraph Cloud 4 Architecture

TigerGraph Cloud 4 is designed to provide a robust, scalable, and secure environment for deploying graph databases in the cloud. The architecture leverages cloud-native technologies to deliver high performance and reliability, ensuring that your graph database can handle complex queries and large datasets efficiently.

Architecture Overview

Components

Data Plane - Storage Layer

The graph storage layer is responsible for persisting graph data in a highly optimized format. Involved storing data in a distributed manner across multiple nodes to ensure high availability and fault tolerance.

Data Plane - Compute Layer

The compute layer is the heart of TigerGraph Cloud 4, providing the capability to execute complex graph queries with high performance

Control Plane

The control plane provides UI and APIs for managing and monitoring graph databases in TigerGraph Cloud 4. Key components include:

  • Resource Management: Resource management in TigerGraph Cloud 4 ensures efficient utilization and allocation of cloud resources to meet the demands of your graph database applications.

  • Infrastructure Management: Infrastructure management involves the deployment, configuration, and maintenance of the underlying cloud infrastructure that supports TigerGraph Cloud 4.

  • Billing Management: Billing management in TigerGraph Cloud 4 provides transparency and control over your cloud spending, ensuring you can manage costs effectively.

  • Organization/User Management: Organization and user management features in TigerGraph Cloud 4 enable you to control access and permissions for different users within your organization.

  • Application Management: Application management tools in TigerGraph Cloud 4 help you to manage the add-ons and integrations that enhance the functionality of your graph database applications.

  • Monitoring, Auditing and Alerting: Monitoring, auditing, and alerting features in TigerGraph Cloud 4 provide visibility into system activities and ensure timely notification of critical events.

Key Features of TigerGraph Cloud 4

These key features of TigerGraph Cloud 4 collectively provide a powerful and user-friendly environment for organizations to perform advanced graph analytics, gain valuable insights from interconnected data, and drive data-driven decision-making and innovation.

Separation of Storage and Compute

We introduce a unique architecture that separates storage and compute, allowing users to scale resources independently. This enables optimized performance and cost-efficiency by allocating resources based on specific workload requirements. It is designed to scale seamlessly as data and workload demands grow. It offers elastic scaling capabilities, allowing users to dynamically adjust resources to handle varying workloads and ensure optimal performance.

Read-Write and Read-Only Workspaces

We introduce Read-Write and Read-Only Workspaces to connect to the same database, allowing users to dynamically control OLTP and OLAP workloads for complete isolation of analytical and transactional traffic.

Streamlined Data Loading Pipeline

The platform simplifies the process of importing and transforming data into a graph database. With support for various data connectors such as Local File, Amazon S3, Azure Blob Storage, GCP Cloud Storage, Spark, Snowflake, Postgres, Kafka, and BigQuery, the platform offers seamless integration with diverse data sources. It provides step-by-step data loading for select connectors, automatically detecting formats, schemas, and mappings. This streamlines the data loading process and enables auto schema and mapping generation, making it convenient to leverage existing data assets for graph analytics.

Integrations with Solution Kits

TigerGraph Solution Kits are comprehensive, ready-to-use solutions that package TigerGraph’s industry-leading graph database and AI technology with domain-specific schema, workflows, and dashboards. They provide everything users need to get started with graph analytics and AI-driven insights in their respective fields.

GSQL Editor

The platform features a dedicated GSQL Editor—an integrated development environment (IDE) tailored for working with GSQL, the query language of TigerGraph. Designed with user convenience in mind, the GSQL Editor offers a user-friendly interface that simplifies the process of writing, testing, and optimizing GSQL queries. With syntax highlighting, code completion, query execution, and debugging capabilities, users can easily develop and fine tune their graph queries. Additionally, the GSQL Editor enables seamless collaboration within organizations by allowing users to share GSQL files, fostering teamwork and facilitating efficient collaboration among colleagues.

Graph Explorer

TigerGraph Cloud 4 features a Graph Explorer, a visual interface that allows users to interactively explore and analyze the graph data. The Graph Explorer provides a rich set of visualization tools, including graph visualizations, charts, and tables, enabling users to gain insights and discover patterns in their data. It offers intuitive navigation, filtering, and querying capabilities, making it easier for users to explore and understand the relationships and connections within their graph data.

Auto Data Profiles

TigerGraph Cloud 4 incorporates auto data profile capabilities that automatically find data insights for users without prior knowledge of their schema and query. This feature leverages advanced algorithms and machine learning techniques to analyze the graph data and identify meaningful patterns, relationships, and insights. It helps users discover valuable information within their data even if they are not familiar with the underlying data structure or query language.

Next Steps

Next, to understand how TigerGraph cloud differs from other TigerGraph offerings see Compare TigerGraph Offerings or see Get Started with TigerGraph Cloud 4 to unlock its full potential.

Return to TigerGraph Cloud 4 for another topic.