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What is Avalor?

Avalor’s cutting-edge data fabric enhances the ability of security teams to make faster and more accurate decisions. By effortlessly blending different data sources, including legacy systems, data lakes, data warehouses, SQL databases, and various applications, our architecture provides a holistic view of business performance. The platform is equipped with automation, two-way synchronization, alerts, and analytics, all powered by the strong data fabric. This integration allows all security functions to benefit from swift, dependable, and precise analyses of enterprise data, covering aspects like asset coverage, compliance reporting, ROSI assessment, and vulnerability management, to name a few. Often, security teams depend on numerous specialized tools, each tailored for specific tasks and possessing unique definitions and outputs. The resulting fragmentation of data can hinder prioritization and cloud the detection of issues. Avalor’s solution enables teams to quickly and accurately respond to business inquiries by utilizing data from all areas of the organization, thereby enhancing decision-making and boosting operational efficiency. In a landscape where both clarity and speed are essential, our data fabric emerges as an indispensable tool for contemporary security operations, ensuring that teams can maintain an edge in an ever-evolving threat landscape. Additionally, the comprehensive insights provided by Avalor empower security professionals to proactively combat risks and improve overall organizational resilience.

What is AtScale?

AtScale optimizes and simplifies business intelligence, resulting in faster insights, enhanced decision-making, and increased returns on cloud analytics investments. By alleviating the burden of tedious data engineering tasks like data curation and delivery for analysis, AtScale enables teams to concentrate on crucial strategic initiatives. The centralization of business definitions guarantees consistency in KPI reporting across various business intelligence platforms. This innovative solution not only accelerates the insight-gathering process but also manages cloud computing costs more efficiently. You can leverage existing data security measures for analytics, irrespective of where the data resides. With AtScale’s Insights workbooks and models, users can perform multidimensional Cloud OLAP analyses on data from multiple sources without needing to prepare or engineer the data beforehand. Our user-friendly dimensions and measures are crafted to expedite insight generation that directly influences business strategies, allowing teams to make well-informed decisions swiftly. Ultimately, AtScale equips organizations to unlock the full potential of their data while reducing the complexities typically associated with conventional analytics processes. Furthermore, this approach fosters a more agile environment where data-driven insights can swiftly translate into actionable strategies, further enhancing overall business performance.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Apiiro
InsightCloudSec
Jira
Lacework
Legit Security
Microsoft Defender for Cloud
Panther
Praetorian Chariot
Prisma Cloud
Qualys TruRisk Platform
Rentman
SentinelOne Singularity
Slack
Snowflake
Tanium
Wiz

Integrations Supported

Amazon Web Services (AWS)
Cloudera
Skott
jethro

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Online Training

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Avalor

Company Website

www.avalor.io

Company Facts

Organization Name

AtScale

Date Founded

2013

Company Location

United States

Company Website

www.atscale.com

Categories and Features

Data Fabric

Not specified

Categories and Features

Big Data

Not specified

Data Engineering

Not specified

Data Fabric

Not specified

Data Virtualization

Not specified

Data Warehouse

Not specified

Semantic Layer

Not specified

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