Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Fig enhances Security Operations Resilience for contemporary SOC teams, empowering them to endure transformations without succumbing to disruptions. While change can jeopardize a SOC's functionality, it can also serve as a source of strength, and Fig ensures that both detection and response mechanisms remain operational during instances of drift and intentional modifications. Drift occurs when alterations from upstream sources inadvertently disrupt detection protocols and automations, leaving teams without alerts or guidance and potentially facing lengthy and arduous processes to identify and rectify issues. In addition, planned changes, such as enhancements in SecOps and infrastructure initiatives, often progress at a cautious pace to prevent any adverse effects on production systems. To address these challenges, Fig equips teams with drift detection tools that identify when a detection or response fails, drift repair capabilities that pinpoint the underlying cause, recommend solutions, conduct tests, and facilitate deployment upon approval, along with change modeling features that allow teams to simulate proposed initiatives and evaluate their potential consequences prior to implementation in production. This comprehensive approach ensures that SOC teams can navigate the complexities of change with confidence and efficiency.
Description
In 30 minutes, you can monitor your entire warehouse. Automated warehouse-to-BI lineage can identify downstream impacts. Trust can be lost in seconds and regained in months. With modern data-era observability, you can have peace of mind. It can be difficult to get the coverage you need with code-based tests. They take hours to create and maintain. Metaplane allows you to add hundreds of tests in minutes. Foundational tests (e.g. We support foundational tests (e.g. row counts, freshness and schema drift), more complicated tests (distribution shifts, nullness shiftings, enum modifications), custom SQL, as well as everything in between. Manual thresholds can take a while to set and quickly become outdated as your data changes. Our anomaly detection algorithms use historical metadata to detect outliers. To minimize alert fatigue, monitor what is important, while also taking into account seasonality, trends and feedback from your team. You can also override manual thresholds.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon Redshift
No
Amazon S3
Yes
ClickHouse
No
Databricks
Yes
Elasticsearch
Yes
Gmail
No
Google Cloud BigQuery
No
Looker
No
Metabase
No
Mode
No
Integrations
Amazon Redshift
Yes
Amazon S3
No
ClickHouse
Yes
Databricks
No
Elasticsearch
No
Gmail
Yes
Google Cloud BigQuery
Yes
Looker
Yes
Metabase
Yes
Mode
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$825 per month
Free Trial
Yes
Free Version
Yes
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)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Fig
Founded
2025
Country
United States
Website
www.fig.security/
Vendor Details
Company Name
Metaplane
Country
United States
Website
www.metaplane.dev/
Product Features
Product Features
Data Lineage
Database Change Impact Analysis
No
Filter Lineage Links
No
Implicit Connection Discovery
No
Lineage Object Filtering
No
Object Lineage Tracing
No
Point-in-Time Visibility
No
User/Client/Target Connection Visibility
No
Visual & Text Lineage View
No
Data Quality
Address Validation
No
Data Deduplication
No
Data Discovery
No
Data Profililng
No
Master Data Management
No
Match & Merge
No
Metadata Management
No