Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Amazon DynamoDB is engineered for both scalability and high performance. Typically, the response times for DynamoDB are recorded in single-digit milliseconds, making it suitable for many applications. Nonetheless, specific scenarios demand even faster response times, measured in microseconds. To address these needs, DynamoDB Accelerator (DAX) offers rapid access to eventually consistent data. DAX simplifies operational and application complexities by providing a fully managed service that remains API-compatible with DynamoDB, thus requiring only minor adjustments for integration with existing applications. Additionally, for workloads that are read-heavy or experience sudden spikes in demand, DAX enhances throughput and can lead to operational cost reductions by minimizing the necessity for overprovisioning read capacity units. This is particularly advantageous for applications that frequently read the same individual keys, ensuring efficiency and performance. By implementing DAX, organizations can achieve optimal performance without compromising on scalability.
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
Integrations
Amazon DynamoDB
Yes
Amazon EC2
Yes
Amazon S3
No
Amazon Web Services (AWS)
Yes
ClickHouse
No
Datadog
No
Docker
No
Google Cloud BigQuery
No
Kleene
Yes
Kubernetes
No
Integrations
Amazon DynamoDB
Yes
Amazon EC2
No
Amazon S3
Yes
Amazon Web Services (AWS)
No
ClickHouse
Yes
Datadog
Yes
Docker
Yes
Google Cloud BigQuery
Yes
Kleene
No
Kubernetes
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
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)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
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/es/dynamodb/dax/
Vendor Details
Company Name
Formal
Country
United States
Website
formal.ai/
Product Features
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