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What is TEXTML Server?

TEXTML Server is a scalable XML database designed to manage structured content within the MadCap IXIA CCMS platform. It functions as a native XML repository that stores and organizes DITA-based documentation along with related assets. The system was originally developed as a standalone XML database and is now fully integrated into the IXIA CCMS ecosystem. Its architecture enables organizations to manage large documentation repositories while maintaining high performance and reliability. TEXTML Server supports structured XML and DITA content, ensuring compatibility with modern technical documentation workflows. Document management features include controlled check-in and check-out, detailed revision histories, and secure permission-based access. The platform can also manage additional file types such as images, videos, and other supporting media. Its advanced search engine provides fast and precise retrieval using both full-text and metadata-driven search filters. This allows teams to quickly find relevant content within extensive documentation libraries. Integrated workflow and metadata synchronization ensure that content updates remain accurate and traceable. The platform’s scalability enables global teams to access and collaborate on content simultaneously without performance issues. By providing a powerful XML repository and search engine, TEXTML Server forms the core infrastructure that supports efficient content management within MadCap IXIA CCMS.

What is Oracle Berkeley DB?

Berkeley DB consists of a collection of embedded key-value database libraries designed to provide scalable and high-performance data management capabilities for a wide array of applications. The libraries feature simple function-call APIs that facilitate efficient data access and management. By leveraging Berkeley DB, developers can craft customized data management solutions that avoid the usual difficulties associated with bespoke projects. The library includes a variety of dependable building-block technologies that can be tailored to satisfy different application needs, whether for mobile devices or large-scale data centers, addressing both local storage requirements and global distribution challenges. This adaptability allows it to manage data volumes that span from kilobytes to petabytes. Consequently, Berkeley DB stands out as a favored option among developers seeking to implement effective data solutions, making it a versatile tool in the realm of data management. Its capability to cater to diverse environments further solidifies its reputation in the industry.

Media

Media

Integrations Supported

BI Book
Checkmk
DashboardFox
JanusGraph
Ketch
MadCap IXIA CCMS
Netdata
Wyn Enterprise
eMite

Integrations Supported

BI Book
Checkmk
DashboardFox
JanusGraph
Ketch
MadCap IXIA CCMS
Netdata
Wyn Enterprise
eMite

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

MadCap Software

Date Founded

2005

Company Location

United States

Company Website

www.madcapsoftware.com/products/ixia-ccms/textml-server-scalable-xml-database/

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/database/technologies/related/berkeleydb.html

Categories and Features

Categories and Features

NoSQL Database

Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management

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