Sold by: TigerGraphÂ
Deployed on AWS
TigerGraph Cloud is the industry's first and only distributed, native graph database-as-a-service - built for innovators who would rather focus on building breakthrough applications than managing infrastructure. Designed to power both real-time analytics and transactional workloads, TigerGraph Cloud helps businesses harness the power of connected data at scale.
Overview
TigerGraph Cloud is the industry's first and only distributed, native graph database-as-a-service - built for innovators who would rather focus on building breakthrough applications than managing infrastructure. Designed to power both real-time analytics and transactional workloads, TigerGraph Cloud helps businesses harness the power of connected data at scale.
Users can launch in minutes, build proof-of-concepts in hours, and deploy production solutions in days - without the burden of configuring servers, managing backups, or addressing security patches. The platform scales effortlessly to support tens of terabytes and over 100,000 real-time deep link queries per second on a single machine, all while benefiting from elastic, pay-as-you-go pricing and a low total cost of ownership.
Now Available: TigerGraph Savanna (https://aws.amazon.com/marketplace/pp/prodview-txouq7rtexndc )
For organizations seeking next-gen cloud-native architecture and greater control over their data infrastructure, TigerGraph Savanna is our latest evolution in graph technology. Built for cloud-native scale, real-time performance, and AI-powered insights, Savanna introduces:
- Native storage-compute separation for elastic scalability and cost efficiency.
- API-first architecture for DevOps and data pipeline integration.
- Kubernetes orchestration and support for GSQL, GQL, and openCypher.
- Pre-built Solution Kits for fraud detection, customer intelligence, cybersecurity, and more.
- Flexible deployment models: fully managed or Bring Your Own Cloud (BYOC).
Whether you're scaling enterprise AI initiatives or modernizing your analytics stack, TigerGraph Savanna delivers the fastest, most flexible way to turn connected data into real-time decisions.
Highlights
- Fully managed cloud graph database: deploy a production-ready, distributed graph database in minutes with no infrastructure setup or maintenance required.
- Highly scalable & performant: scale to over 100 TB and execute 100,000+ deep link queries per second on a single machine for real-time insights.
- Accelerated time to value with Starter Kits: quickly build graph solutions using pre-built Starter Kits with ready-to-use schemas, queries, and dashboards for common use cases.
Details
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Delivery method
Deployed on AWS
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Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/unit |
|---|---|
gigabytes of ram per hour | $0.075 |
terabytes of disk per hour | $0.002 |
terabytes of backup disk per hour | $0.02 |
gigabytes of transfer | $0.15 |
TigerGraph Service Units | $0.01 |
Vendor refund policy
All fees are non-cancellable and non-refundable.
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Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
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Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
- Standard Support: 9 AM - 5 PM EST, business days.
- Premium Support: 24x7x365 with Named Technical Support Engineer.
- Submit Tickets: https://tigergraph.zendesk.com .
- Support Resources: https://www.tigergraph.com/support/Â .
- SLA Claims: tigergraph-sla-request@tigergraph.com .
- Sales Questions: cloud_sales@tigergraph.com .
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Functionality
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AI generated from product descriptions
Distributed Database Architecture
Native distributed graph database with storage-compute separation capabilities
Query Performance
Supports over 100,000 real-time deep link queries per second on a single machine
Data Scalability
Capable of scaling to support tens of terabytes of graph data
Graph Query Languages
Supports multiple graph query languages including GSQL, GQL, and openCypher
Solution Acceleration
Provides pre-built Solution Kits for specific use cases like fraud detection, customer intelligence, and cybersecurity
Graph Database Technology
Fully-managed graph database service supporting flexible property graph data model with native Cypher query language
Security Architecture
Enterprise-grade security with end-to-end data encryption, advanced role-based access control, and VPC isolation capabilities
High Availability Infrastructure
Multi-AZ distributed cluster architecture with 99.95% availability SLA and self-healing capabilities
Developer Toolkit
Integrated tools for graph visualization, monitoring, and extensible functionality with GraphQL support
Data Management
Automated service upgrades, on-demand scaling, and fully managed backup system with ACID compliance
Graph Database Technology
Multi-model database supporting graph, document, and search data models with native query integration
Machine Learning Integration
Native machine learning capabilities embedded within the database platform
Security Architecture
Advanced security mechanisms including private endpoints, single sign-on, and comprehensive audit logging
High Availability Configuration
Data replication and multi-region cloud backup infrastructure for continuous data protection
Query Language Capability
Powerful query language that natively integrates graph, JSON data, search, and machine learning operations
Standard contract
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Customer reviews
0 ratings
0 AWS reviews
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11 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
Information Technology and Services
Exploring the Power of Graph with Tigergraph
Reviewed on Oct 31, 2024
Review provided by G2
What do you like best about the product?
Tigergraph is a powerful graph database excels at handling large datasets enabling quick queries and real-time analytics even with complex data.It also has built-in ML capability hence hence making it ideal tool for fraud detection and customer 360 toolkit.There is also built-in visualization tool within Tigergraph called Insights.
What do you dislike about the product?
Tigergraph is still in development so its bit challenging also it has steep learning curve . Insights also doesnt have much customization options. Cost comparetively high so its difficult to get apated by smaller organizations.
What problems is the product solving and how is that benefiting you?
One of the major issue Tigergraph is solving is uncovering hidden patterns and insights with vast datasets which can be difficult in traditional databases.It allows business's to perform deep-link analysis and multi-hop queries hence making it able to detect fraud ,optimize supply chains etc.
Krunal K.
TigerGraph used for CPG domain solution
Reviewed on Oct 22, 2024
Review provided by G2
What do you like best about the product?
The ease of creating the graph using queries and inhouse graph db platform
What do you dislike about the product?
Complex visualisation of graphs on the platform
What problems is the product solving and how is that benefiting you?
It helped us understand and connect our client's supply chain life cycle and provide based on this graph
Balaji L.
Great platform on machine learning and analytics
Reviewed on Apr 23, 2024
Review provided by G2
What do you like best about the product?
Better and faster than others also having a good query performance. Using tegergraph is easy.
What do you dislike about the product?
Just one thing, SQL is is bit difficult fo some of us.
What problems is the product solving and how is that benefiting you?
We mostly use SQL database so it is useful for us to work with tigergraph as it is good in SQL database.
Computer Games
The Ultimate Solution for Unmatched Scalability and Analytical Power in Graph Databases
Reviewed on Aug 09, 2023
Review provided by G2
What do you like best about the product?
After conducting extensive evaluations of numerous graph databases available on the market, TigerGraph has emerged as the only solution that truly scales to meet our ever-growing needs. Its exceptional performance and scalability have solidified its position as our top choice for a graph database.
A key factor that influenced our decision to choose TigerGraph is its SQL-like, feature-rich language. This intuitive language not only supports our production graph use cases but also enables our data scientists and analysts to perform in-depth graph analytics and uncover valuable insights. With its powerful Accumulator functions, TigerGraph has allowed us to harness the true potential of graph analytics like never before, enabling us to tackle complex data challenges that would have been impossible with other technologies.
TigerGraph's unparalleled scalability and comprehensive language capabilities have opened up new possibilities for our team, revolutionizing the way we approach data analysis and decision-making. By leveraging the power of graph analytics with TigerGraph, we are now able to uncover insights and drive data-driven decisions more effectively than ever before.
A key factor that influenced our decision to choose TigerGraph is its SQL-like, feature-rich language. This intuitive language not only supports our production graph use cases but also enables our data scientists and analysts to perform in-depth graph analytics and uncover valuable insights. With its powerful Accumulator functions, TigerGraph has allowed us to harness the true potential of graph analytics like never before, enabling us to tackle complex data challenges that would have been impossible with other technologies.
TigerGraph's unparalleled scalability and comprehensive language capabilities have opened up new possibilities for our team, revolutionizing the way we approach data analysis and decision-making. By leveraging the power of graph analytics with TigerGraph, we are now able to uncover insights and drive data-driven decisions more effectively than ever before.
What do you dislike about the product?
One aspect that could be considered a minor drawback in TigerGraph is the initial learning curve associated with its unique query language, GSQL. However, this concern is effectively mitigated by the fact that GSQL is designed to be similar to SQL, making it easier for users with SQL experience to quickly adapt and become proficient in using it. Furthermore, TigerGraph offers extensive documentation and support resources, which greatly facilitate the learning process and help users overcome this initial challenge. With the advent of GPT-4, most queries can now be AI-generated, effectively resolving this barrier.
In the grand scheme of things, the benefits of TigerGraph's powerful features, scalability, and performance far outweigh this minor inconvenience, making it an excellent choice for organizations seeking a robust graph database solution.
In the grand scheme of things, the benefits of TigerGraph's powerful features, scalability, and performance far outweigh this minor inconvenience, making it an excellent choice for organizations seeking a robust graph database solution.
What problems is the product solving and how is that benefiting you?
Graph Analytics, Friend recommendations, Item recommendations, Community/Influencer detection and Fraud detection.
Biotechnology
A Powerful Platform That Gets You Transitioned Into The Graph World
Reviewed on Jul 27, 2023
Review provided by G2
What do you like best about the product?
TigerGraph Cloud is a very powerful platform that gives newcomers into the graph world a lot of ability to deliver right off the bat with its GraphStudio UI.
What do you dislike about the product?
No downside. Just a bit of learning curve in general to adopted to the graph database world.
What problems is the product solving and how is that benefiting you?
Complex manufacturing analytics and internal process improvement efforts.