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Average Ratings 0 Ratings

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features
design
support

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Write a Review

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 Manual thresholds can take a while to set and quickly become outdated as your data changes.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 

Screenshots View All

Screenshots View All

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 
MySQL No 
Okta No 
PagerDuty No 
PostgreSQL No 
SQL Server No 
Secoda No 
Sigma No 
Slack No 
Tableau No 
dbt 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 
MySQL Yes 
Okta Yes 
PagerDuty Yes 
PostgreSQL Yes 
SQL Server Yes 
Secoda Yes 
Sigma Yes 
Slack Yes 
Tableau Yes 
dbt 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

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 

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