Sold by: TigerGraph
Deployed on AWS
Native graph database for real-time connected data analytics and ML/AI
Overview
Need to get more value from your data? The TigerGraph scalable graph database is used by some of the world's leading companies to make quicker decisions, know their customers better, and find hidden fraud networks.
Key Benefits: 600x ROI according to Forrester 2022. Deeper insights on live data via in-database graph analytics and customizable algorithms 40x to 300x faster graph queries, according to independent benchmarks
Businesses who want to get more value out of their connected data turn to TigerGraph. Need easy-to-use kits and low/no-code tools? Need a flexible graph query language, APIs, and customizable algorithm library to empower your developers? Need a scalable platform for your data scientists to apply the latest graph-enhanced analytics/ML/AI technologies? TigerGraph has it.
TigerGraph Lite is for developers who want to try TigerGraph with the full control and privileges of a self-managed deployment, with the convenience of a machine image on the AWS Marketplace. If you are ready to run a TigerGraph cluster, for scale-out or high availability replication, please contact TigerGraph Sales sales@tigergraph.com . If you're looking for a SaaS platform, check out TigerGraph Cloud on the AWS Marketplace.
What Makes TigerGraph Unique? Built for performance and scale: native graph in C++ with distributed, massively-parallel architecture Handles both real-time transactions and complex analytics on the same distributed database GSQL language - SQL-inspired, high-level, supports pattern matching and analytics, for maximum developer productivity
Ease of Use: GraphStudio: visual SDK for developer productivity: modeling, loading, querying, exploring, visualizing Built-in connectors for ultra-fast, parallel ingestion from cloud object storage, Snowflake, Spark, Kafka, and more
ML and Analytics: More accurate predictions via ML Workbench add-on for graph-powered ML pyTigerGraph Python driver
Note: TigerGraph Solution Kits and Insights are currently only available on TigerGraph Cloud.
Highlights
- 600x ROI, according to Forrester 2022.
- Deeper insights on live data via in-database graph analytics and customizable algorithms
- 40x to 300x faster graph queries, according to independent benchmarks
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
AmazonLinux Amazon Linux 2 AMI
Deployed on AWS
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 | Cost/hour |
|---|---|
r4.2xlarge Recommended | $4.18 |
r4.16xlarge | $33.42 |
r4.4xlarge | $8.36 |
r4.8xlarge | $16.71 |
r5.24xlarge | $42.08 |
r4.xlarge | $2.09 |
Vendor refund policy
Contact TigerGraph Sales within 21 days if you are not satisfied: cloud_sales@tigergraph.com
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
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Additional details
Usage instructions
Please see our GETTING STARTED Documentation. https://docs.tigergraph.com/tigergraph-server/3.10/getting-started/cloud-images/aws
Resources
Support
Vendor support
3-tier technical support through Zendesk. Search our knowledge base. Join the community forum. Submit a question.
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
Ease of use
Customer service
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Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Graph Database Architecture
Native graph database built in C++ with distributed, massively-parallel processing architecture
Query Language
GSQL language with SQL-inspired syntax supporting pattern matching and advanced analytics capabilities
Data Ingestion
Built-in parallel connectors for ultra-fast data loading from cloud object storage, Snowflake, Spark, Kafka, and other sources
Machine Learning Integration
Graph-powered ML Workbench and pyTigerGraph Python driver for advanced predictive analytics
Development Environment
GraphStudio visual SDK providing comprehensive graph modeling, loading, querying, exploration, and visualization tools
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.