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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Transferring data from a source object to a target object while effortlessly setting default values for the target has become incredibly simple and user-friendly! With PostObject Pro, users can generate a new object record derived from the source object, seamlessly transferring all the corresponding values to the target object according to predefined mappings, eliminating the need for custom code or manual automation from Administrators or Developers. This innovative tool allows for quick creation of new object records with minimal effort, as it automatically manages the value transfer with specified mappings. Users can easily define the field mappings between both objects, enabling automatic population of values during the creation of the target record. Furthermore, it allows for dynamic mapping of new objects and fields on the fly, while the auto-matching feature based on field type, name, and API name significantly reduces the time spent on mapping. Overall, PostObject Pro revolutionizes data handling by providing a streamlined and efficient solution for object record management.

Description

Voldemort does not function as a relational database, as it does not aim to fulfill arbitrary relations while adhering to ACID properties. It also does not operate as an object database that seeks to seamlessly map object reference structures. Additionally, it does not introduce a novel abstraction like document orientation. Essentially, it serves as a large, distributed, durable, and fault-tolerant hash table. For applications leveraging an Object-Relational (O/R) mapper such as ActiveRecord or Hibernate, this can lead to improved horizontal scalability and significantly enhanced availability, albeit with a considerable trade-off in convenience. In the context of extensive applications facing the demands of internet-level scalability, a system is often comprised of multiple functionally divided services or APIs, which may handle storage across various data centers with their own horizontally partitioned storage systems. In these scenarios, the possibility of performing arbitrary joins within the database becomes impractical, as not all data can be accessed within a single database instance, making data management even more complex. Consequently, developers must adapt their strategies to navigate these limitations effectively.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Baidu Object Storage Yes 
Salesforce Yes 

Integrations

Baidu Object Storage No 
Salesforce No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Damco Solutions

Country

United States

Website

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

Vendor Details

Company Name

Voldemort

Website

www.project-voldemort.com/voldemort/

Product Features

Data Mining

Data Extraction No 
Data Visualization No 
Fraud Detection No 
Linked Data Management No 
Machine Learning No 
Predictive Modeling No 
Semantic Search No 
Statistical Analysis No 
Text Mining No 

Data Replication

Asynchronous Data Replication No 
Automated Data Retention No 
Continuous Replication No 
Cross-Platform Replication No 
Dashboard No 
Instant Failover No 
Orchestration No 
Remote Database Replication No 
Reporting / Analytics No 
Simulation / Testing No 
Synchronous Data Replication No 

Product Features

Data Replication

Asynchronous Data Replication No 
Automated Data Retention No 
Continuous Replication No 
Cross-Platform Replication No 
Dashboard No 
Instant Failover No 
Orchestration No 
Remote Database Replication No 
Reporting / Analytics No 
Simulation / Testing No 
Synchronous Data Replication No 

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