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What is Crossary?

Crossary enhances the efficiency of teams engaged in integration and migration by converting specification documents from both the source and target into thoroughly vetted, actionable data-mapping workbooks. By allowing users to simply upload specifications in diverse formats such as Excel, PDF, CSV, JSON, XML, XSD, SQL, or YAML, Crossary effectively extracts a comprehensive inventory of fields from each document and creates a proposed mapping for every target field based on the corresponding source. The proposed mapping elaborates on each row's rationale, detailing the recommended source, mapping type, direct quotations from the documents, the reasoning behind the choices, and the AI's self-assessed confidence level, which serves as a helpful guide rather than an absolute assurance. In cases where an appropriate mapping cannot be found, Crossary maintains transparency by designating that row as a genuine gap and presenting a clarifying question, thereby underscoring the importance of accurate mappings over misleading assumptions. You maintain complete oversight during the entire process, allowing you to review, make adjustments, accept, or reject each proposed entry, followed by a validation stage that conducts a deterministic check on structural elements and key semantics, including type compatibility and cardinality, while clarifying that this verification does not encompass comprehensive correctness. This meticulous approach guarantees that your integration process is well-informed and precise, facilitating a smooth and effective transition from source to target, ultimately leading to increased operational success.

What is Aggua?

Aggua functions as an AI-enhanced data fabric platform aimed at equipping both data and business teams with easy access to their information, building trust, and providing actionable insights for more informed decision-making based on data. With just a few clicks, you can uncover essential details about your organization's data framework instead of remaining unaware of its complexities. Obtain insights into data costs, lineage, and documentation effortlessly, allowing your data engineers to maintain their productivity without interruptions. Instead of spending excessive time analyzing how changes in data types affect your pipelines, tables, and overall infrastructure, automated lineage facilitates your data architects and engineers in reducing the time spent on manual log checks, allowing them to concentrate on implementing necessary infrastructure improvements more effectively. This transition not only simplifies operations but also fosters better collaboration among teams, leading to a more agile and responsive approach to tackling data-related issues. Additionally, the platform ensures that all users, regardless of their technical background, can engage with data confidently and contribute to an organization's data strategy.

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Integrations Supported

Amazon Redshift
Google Cloud BigQuery
JSON
Microsoft Excel
Snowflake
XML
YAML

Integrations Supported

Amazon Redshift
Google Cloud BigQuery
JSON
Microsoft Excel
Snowflake
XML
YAML

API Availability

Has API

API Availability

Has API

Pricing Information

$99/month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Crossary

Date Founded

2026

Company Location

Portugal

Company Website

www.crossary.com

Company Facts

Organization Name

Aggua

Date Founded

2020

Company Location

United States

Company Website

www.aggua.io

Categories and Features

Categories and Features

Data Fabric

Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Data Lineage

Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing
Point-in-Time Visibility
User/Client/Target Connection Visibility
Visual & Text Lineage View

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

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