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Ratings and Reviews 0 Ratings
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DbVisualizerDbVisualizer stands out as a highly favored database client globally. It is utilized by developers, analysts, and database administrators to enhance their SQL skills through contemporary tools designed for visualizing and managing databases, schemas, objects, and table data, while also enabling the automatic generation, writing, and optimization of queries. With comprehensive support for over 30 prominent databases, it also offers fundamental support for any database that can be accessed via a JDBC driver. Compatible with all major operating systems, DbVisualizer is accessible in both free and professional versions, catering to a wide range of user needs. This versatility makes it an essential tool for anyone looking to improve their database management efficiency.
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DataBuckEnsuring the integrity of Big Data Quality is crucial for maintaining data that is secure, precise, and comprehensive. As data transitions across various IT infrastructures or is housed within Data Lakes, it faces significant challenges in reliability. The primary Big Data issues include: (i) Unidentified inaccuracies in the incoming data, (ii) the desynchronization of multiple data sources over time, (iii) unanticipated structural changes to data in downstream operations, and (iv) the complications arising from diverse IT platforms like Hadoop, Data Warehouses, and Cloud systems. When data shifts between these systems, such as moving from a Data Warehouse to a Hadoop ecosystem, NoSQL database, or Cloud services, it can encounter unforeseen problems. Additionally, data may fluctuate unexpectedly due to ineffective processes, haphazard data governance, poor storage solutions, and a lack of oversight regarding certain data sources, particularly those from external vendors. To address these challenges, DataBuck serves as an autonomous, self-learning validation and data matching tool specifically designed for Big Data Quality. By utilizing advanced algorithms, DataBuck enhances the verification process, ensuring a higher level of data trustworthiness and reliability throughout its lifecycle.
What is Eiffel?
Eiffel is a highly effective strategy for developing successful object-oriented software systems. This methodology significantly reduces costs related to development, debugging, and maintenance while allowing for the identification and resolution of issues before they become critical. Consequently, organizations can introduce high-quality products to the market more swiftly than their competitors. Its straightforwardness improves various factors like comprehension, maintenance, reuse, and software extension. What sets Eiffel apart is its seamless integration of analysis, design, implementation, and maintenance within a cohesive framework. Moreover, systems built using Eiffel can be easily adapted for different major industry platforms. The foundation of Eiffel lies in several key principles derived from computer science and software engineering. The Eiffel Method guarantees that all project documentation across various phases is compiled into a single document, which provides diverse perspectives on the project's progress. This methodology is specifically crafted to clearly convey the results of the Eiffel approach. The framework also incorporates features that may be absent in competing solutions, such as exception handling based on software specifications rather than depending on arbitrary try/catch structures. Therefore, it is revered for being the most straightforward yet comprehensive embodiment of object-oriented principles. By embracing Eiffel, developers can substantially boost their productivity and improve the quality of their software while fostering a more organized development process. Ultimately, this leads to a more streamlined workflow and enhanced collaboration among team members.
What is Component Pascal?
Component Pascal is a flexible programming language that combines elements from Pascal, Modula-2, and Oberon. Notable features include a block structure, modular design, separate compilation capabilities, static typing with strict type checking across module boundaries, type extension with related methods, dynamic module loading, and automated garbage collection. The type extension feature enables Component Pascal to be utilized as an object-oriented language. In this framework, an object is viewed as a variable that represents an abstract data type, encompassing private data (its state) and the procedures that operate on this data. These abstract data types are established through extensible records. Component Pascal successfully integrates the fundamental principles of object-oriented programming while employing the familiar terminology of imperative languages, which simplifies the understanding of similar concepts. Furthermore, its strong emphasis on complete type safety, along with the requirement for a dynamic object model, enhances its classification as a component-oriented programming language. This amalgamation of features not only cultivates a robust environment for crafting modular and maintainable software applications but also encourages developers to utilize best practices in software development. In doing so, it promotes a structured approach to coding that can lead to improved collaboration and code sustainability.
API Availability
Has API
API Availability
Has API
Pricing Information
Free
Free Trial Offered?
Free Version
Pricing Information
Free
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
Eiffel Software
Date Founded
1985
Company Website
www.eiffel.org
Company Facts
Organization Name
Component Pascal
Date Founded
1997
Company Website
blackboxframework.org/index.php
