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Average Ratings 0 Ratings

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Description

Amazon DynamoDB is a versatile key-value and document database that provides exceptional single-digit millisecond performance, regardless of scale. As a fully managed service, it offers multi-region, multimaster durability along with integrated security features, backup and restore capabilities, and in-memory caching designed for internet-scale applications. With the ability to handle over 10 trillion requests daily and support peak loads exceeding 20 million requests per second, it serves a wide range of businesses. Prominent companies like Lyft, Airbnb, and Redfin, alongside major enterprises such as Samsung, Toyota, and Capital One, rely on DynamoDB for their critical operations, leveraging its scalability and performance. This allows organizations to concentrate on fostering innovation without the burden of operational management. You can create an immersive gaming platform that manages player data, session histories, and leaderboards for millions of users simultaneously. Additionally, it facilitates the implementation of design patterns for various applications like shopping carts, workflow engines, inventory management, and customer profiles. DynamoDB is well-equipped to handle high-traffic, large-scale events seamlessly, making it an ideal choice for modern applications.

Description

Formal serves as a reverse proxy that is aware of protocols, enhancing security measures for databases, APIs, infrastructure, and AI tools by implementing least privilege principles at the wire-protocol layer. This tool is deployed as a singular stateless binary within a Virtual Private Cloud (VPC) using platforms like Terraform, Kubernetes, or Docker, effectively positioning itself between users and resources without necessitating alterations to applications, SDKs, or agents. Formal supports the analysis of over 15 distinct protocols, such as PostgreSQL, MySQL, MongoDB, Snowflake, SSH, Kubernetes, HTTP, MCP, S3, Redis, RDP, BigQuery, ClickHouse, and DynamoDB, which empowers it to make decisions based on specific queries rather than relying solely on broad network filtering. Furthermore, its policies can oversee user authentication and authorization, mask or filter data fields, modify requests, prohibit certain actions, mandate multi-factor authentication, isolate sessions, revoke access, or enable impersonation throughout the stages of session, request, and response. Additionally, teams have the capability to protect AI agents and MCP servers by eliminating personally identifiable information before it is processed by a model, preventing unauthorized calls to tools, and meticulously auditing each action taken. This comprehensive approach not only enhances security but also ensures compliance with data protection regulations.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AWS Connected Vehicle Solution Yes 
AWS IoT Core Yes 
AWS Lambda Yes 
Artie Yes 
Confidant Yes 
Data Sentinel Yes 
ElevateHQ Yes 
FormKiQ Yes 
Hevo Yes 
IoTFlows Yes 
Lola Yes 
Mage Platform Yes 
Mendix Yes 
MongoDB No 
Pulumi No 
RestApp Yes 
Salesforce Data 360 Yes 
Sopact Impact Cloud Yes 
StrongDM Yes 
Superblocks Yes 

Integrations

AWS Connected Vehicle Solution No 
AWS IoT Core No 
AWS Lambda No 
Artie No 
Confidant No 
Data Sentinel No 
ElevateHQ No 
FormKiQ No 
Hevo No 
IoTFlows No 
Lola No 
Mage Platform No 
Mendix No 
MongoDB Yes 
Pulumi Yes 
RestApp No 
Salesforce Data 360 No 
Sopact Impact Cloud No 
StrongDM No 
Superblocks No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/dynamodb/

Vendor Details

Company Name

Formal

Country

United States

Website

formal.ai/

Product Features

Database

Backup and Recovery Yes 
Creation / Development Yes 
Data Migration Yes 
Data Replication Yes 
Data Search Yes 
Data Security Yes 
Database Conversion Yes 
Mobile Access Yes 
Monitoring Yes 
NOSQL Yes 
Performance Analysis Yes 
Queries Yes 
Relational Interface No 
Virtualization Yes 

NoSQL Database

Auto-sharding Yes 
Automatic Database Replication Yes 
Data Model Flexibility Yes 
Deployment Flexibility Yes 
Dynamic Schemas Yes 
Integrated Caching Yes 
Multi-Model Yes 
Performance Management Yes 
Security Management Yes 

Product Features

Data Security

Alerts / Notifications No 
Antivirus/Malware Detection No 
At-Risk Analysis No 
Audits No 
Data Center Security No 
Data Classification No 
Data Discovery No 
Data Loss Prevention No 
Data Masking No 
Data-Centric Security No 
Database Security No 
Encryption No 
Identity / Access Management No 
Logging / Reporting No 
Mobile Data Security No 
Monitor Abnormalities No 
Policy Management No 
Secure Data Transport No 
Sensitive Data Compliance No 

Alternatives

Alternatives

Mongrel Reviews

Mongrel

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