Sold by: TigerGraph
Deployed on AWS
TigerGraph Savanna is purpose-built for real-time analytics, advanced AI/ML applications, and large-scale data exploration. Trusted by Fortune 500 companies and AI innovators alike, Savanna powers mission-critical use cases including fraud detection, customer intelligence, supply chain optimization, cybersecurity, and AI-driven recommendations.
4.6
Overview
TigerGraph Savanna
Cloud-Native Graph Database for Real-Time Analytics, AI/ML, and Scalable Insights
Unlock the full potential of your connected data with TigerGraph Savanna - the next-generation, fully managed, cloud-native graph database platform. Try it free today and experience lightning-fast performance at scale.
TigerGraph Savanna is purpose-built for real-time analytics, advanced AI/ML applications, and large-scale data exploration. Trusted by Fortune 500 companies and AI innovators alike, Savanna powers mission-critical use cases including fraud detection, customer intelligence, supply chain optimization, cybersecurity, and AI-driven recommendations.
Key Benefits
- Real-time, AI-ready insights: instantly traverse complex relationships across terabytes of connected data with deep link search to uncover hidden patterns in milliseconds.
- Cloud-native scale: scale-up and scale-out architecture, supporting over 100 TB of graph data.
- Built for AI & ML: native support for GraphML, embeddings, feature engineering, and GNN integration.
- Blazing-fast performance: up to 300x faster than traditional graph databases for deep-link analytics.
- Accelerated time-to-value: pre-built Solution Kits, AI-assisted query builders, and no-code modeling tools.
- Enterprise-grade security: AWS IAM integration and fine-grained access controls Cost-efficient architecture - Compute-storage separation and auto-stop/start to optimize cloud spend.
Flexible Deployment Options Choose the deployment model that fits your organization's infrastructure, compliance, and performance needs:
- Fully Managed: let TigerGraph handle operations, scaling, monitoring, and security. Ideal for teams seeking low overhead and fast time to deployment.
- Bring Your Own Cloud (BYOC): deploy Savanna into your own AWS account for full control over infrastructure, data residency, and network security - without sacrificing TigerGraph's scalability and performance.
Pre-Built Solution Kits Accelerate implementation with 9 industry-specific Solution Kits. Each includes out-of-the-box graph schemas, queries, and dashboards to fast-track value:
- Fraud Detection: credit card, application, and mule account fraud.
- Customer 360 & KYC: unified customer views, entity resolution, and behavior analysis.
- Recommendations: AI-driven personalization and product recommendations.
- Cybersecurity: threat detection using graph-based pattern recognition.
- Operations: digital twin modeling across manufacturing and supply chains.
Multi-Language Query Support Savanna supports multiple graph query languages so teams can work with familiar tools or easily migrate existing workloads:
- OpenCypher: compatibility with other graph ecosystems.
- GSQL: high-performance, SQL-like language for graph traversal and analytics.
- GQL: emerging ISO standard for future-proof development.
What's New in Savanna
- Cloud-optimized architecture: separation of control, storage, and compute planes for flexibility and resilience.
- Elastic, pay-as-you-go scaling: built for AWS Marketplace with usage-based pricing.
- AI-augmented analytics: GraphML, GenAI, and decision intelligence built-in.
- Expanded integrations: native connectors for AWS S3, Snowflake, Spark, Kafka, and Data Lake.
- Simplified management: Kubernetes-powered orchestration and self-healing infrastructure.
Why Choose TigerGraph Savanna?
- GraphStudio: no-code visual modeling and exploration.
- Multi-language query support: GSQL, GQL, and OpenCypher.
- Ultra-fast parallel ingestion for high-volume data.
- Deep AWS-native integration for seamless pipeline orchestration.
- Solution Kits that deliver real business outcomes in days.
Start building with TigerGraph Savanna on AWS Marketplace and turn your connected data into real-time decisions.
Highlights
- Cloud-native graph database for AI & analytics: built for real-time insights, AI/ML, and scalable data exploration - Savanna separates compute and storage for cost-efficient, elastic performance.
- Blazing-fast performance at enterprise scale: run deep-link analytics up to 300x faster than traditional graph databases across 100+ TB of connected data.
- Accelerated time-to-value with Solution Kits: deploy production-ready use cases in hours with pre-built Solution Kits for fraud detection, customer intelligence, cybersecurity, and more.
Details
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
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 | Description | Cost/unit |
|---|---|---|
usage | units of usage | $0.01 |
Vendor refund policy
All fees are non-cancellable and non-refundable.
Legal
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) .
Content disclaimer
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.
Support
Vendor support
- Pricing Calculator: https://docs.tigergraph.com/savanna/main/overview/pricing .
- 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/ .
- 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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Customer reviews
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.