Best Synthetic Data Generation Tools for Salesforce

K2View believes that every enterprise should be able to leverage its data to become as disruptive and agile as possible. We enable this through our Data Product Platform, which creates and manages a trusted dataset for every business entity – on demand, in real time. The dataset is always in sync with its sources, adapts to changes on the fly, and is instantly accessible to any authorized data consumer. We fuel operational use cases, including customer 360, data masking, test data management, data migration, and legacy application modernization – to deliver business outcomes at half the time and cost of other alternatives.

CloudTDMS, your one stop for Test Data Management. Discover & Profile your Data, Define & Generate Test Data for all your team members : Architects, Developers, Testers, DevOPs, BAs, Data engineers, and more ... Benefit from CloudTDMS No-Code platform to define your data models and generate your synthetic data quickly in order to get faster return on your “Test Data Management” investments. CloudTDMS automates the process of creating test data for non-production purposes such as development, testing, training, upgrading or profiling. While at the same time ensuring compliance to regulatory and organisational policies & standards. CloudTDMS involves manufacturing and provisioning data for multiple testing environments by Synthetic Test Data Generation as well as Data Discovery & Profiling. CloudTDMS is a No-code platform for your Test Data Management, it provides you everything you need to make your data development & testing go super fast! Especially, CloudTDMS solves the following challenges : -Regulatory Compliance -Test Data Readiness -Data profiling -Automation

As enterprise data explodes and is scattered across multiple systems, the oversight of privacy, data security and governance has become a very difficult task. Businesses are exposed to significant risks, including data breaches, privacy suits, and penalties. It takes months to find data privacy risks within an organization. A team of data engineers is involved in the effort. Data breaches and privacy legislation are forcing companies to better understand who has access to data and how it is used. Enterprise data is complex. Even if a team works for months to isolate data privacy risks, they may not be able to quickly find ways to reduce them.

Mask, generate, subset, virtualize, and automate your test data with the DATPROF Test Data Management Suite. Our solution helps managing Personally Identifiable Information and/or too large databases. Long waiting times for test data refreshes are a thing of the past.

Our innovative automation platform, powered by AI and designed for low-code usage, aims to deliver exceptional results in the least amount of time. With our Natural Language Processing (NLP) technology, you can effortlessly generate automation scripts in plain English, freeing your developers to concentrate on innovative projects. Throughout your application's lifecycle, you can maintain high quality thanks to our autonomous discovery feature and comprehensive tracking of any changes. Our autonomous healing capabilities help mitigate risks in your ever-evolving development landscape, ensuring that updates are seamless and current. To comply with all regulatory standards and enhance security, utilize AI-generated synthetic data tailored to your automation requirements. Additionally, you can conduct multiple tests simultaneously, adjust test frequencies, and keep up with browser updates across diverse operating systems and platforms, ensuring a smooth user experience. This comprehensive approach not only streamlines your processes but also enhances overall productivity and efficiency.

Smock-it is a synthetic data generator tailored for Salesforce testing, providing a streamlined solution for creating high-quality test data quickly and securely. This command-line tool allows users to generate data based on customizable templates that reflect their Salesforce schema, supporting both standard and custom objects. Smock-it eliminates the challenge of manually creating data, saving teams valuable time and improving testing accuracy. The platform is designed to scale, making it suitable for both small and large datasets, ideal for stress testing and enterprise-level operations. With built-in compliance to privacy regulations like GDPR and CCPA, Smock-it ensures that no real customer data is used, offering a secure and effective alternative to traditional test data methods. It also automates data refreshes and provides flexible output formats such as CSV, JSON, or direct insertion into Salesforce environments, making it highly versatile for any testing cycle.

Enterprise synthetic test data solutions. It is essential that test data accurately reflects the structure of your database or application. This means it must be easy for you to model and maintain each project. Respect the referential integrity of parent/child/sibling relations across data domains within an app database or across multiple databases used for multiple applications. Ensure consistency and integrity of synthetic attributes across applications, data sources, and targets. A customer name must match the same customer ID across multiple transactions simulated by real-time synthetic information generation. Customers need to quickly and accurately build their data model for a test project. GenRocket offers ten methods to set up your data model. XTS, DDL, Scratchpad, Presets, XSD, CSV, YAML, JSON, Spark Schema, Salesforce.