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What is Voldemort?

Voldemort is not designed to operate as a relational database; it does not seek to maintain arbitrary relationships or comply with ACID principles. It also lacks the functionality of an object database that aims for a seamless mapping of object referencing. Moreover, it does not provide a new layer of abstraction like document orientation. Instead, it functions as a large, distributed, durable, and fault-tolerant hash table. For those employing an Object-Relational (O/R) mapper such as ActiveRecord or Hibernate, this setup can enhance horizontal scalability and availability significantly, though it comes with a notable loss of convenience. When dealing with large-scale applications that require internet-level scalability, systems often consist of multiple services or APIs that are functionally segmented, managing storage across diverse data centers, each with its own horizontally partitioned storage solutions. In such environments, executing arbitrary joins within the database can become unfeasible since not all data resides in a single database instance, which complicates data management further. Consequently, developers must shift their approaches to effectively cope with these limitations, necessitating a careful reevaluation of their data handling practices. This adjustment is crucial to ensure that the system remains efficient and responsive to the diverse needs of the applications it supports.

What is PostObject Pro?

Transferring data between a source object and a target object while effortlessly establishing default values for the target has become remarkably straightforward and user-friendly! With PostObject Pro, individuals can create a new object record that is derived from the source object, effortlessly moving all relevant values to the target object per predefined mappings, thus removing the necessity for custom coding or manual interventions by Administrators or Developers. This cutting-edge tool facilitates the rapid creation of new object records with minimal effort, as it autonomously manages value transfers according to specified mappings. Users have the ability to easily define field mappings between the two objects, which allows for the automatic population of values during the target record's creation. Additionally, it supports dynamic mapping of new objects and fields in real-time, and the auto-matching feature—based on field type, name, and API name—greatly minimizes the time dedicated to mapping. In summary, PostObject Pro transforms data management by offering an efficient and streamlined approach to object record handling, greatly enhancing productivity and ease of use for its users.

Media

Media

Integrations Supported

Baidu Object Storage
Salesforce

Integrations Supported

Baidu Object Storage
Salesforce

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

Voldemort

Company Website

www.project-voldemort.com/voldemort/

Company Facts

Organization Name

Damco Solutions

Company Location

United States

Company Website

www.damcogroup.com/salesforce/Our-Products.html/

Categories and Features

Data Replication

Asynchronous Data Replication
Automated Data Retention
Continuous Replication
Cross-Platform Replication
Dashboard
Instant Failover
Orchestration
Remote Database Replication
Reporting / Analytics
Simulation / Testing
Synchronous Data Replication

Categories and Features

Data Mining

Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining

Data Replication

Asynchronous Data Replication
Automated Data Retention
Continuous Replication
Cross-Platform Replication
Dashboard
Instant Failover
Orchestration
Remote Database Replication
Reporting / Analytics
Simulation / Testing
Synchronous Data Replication

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