DATPROF
Test Data Management solutions like data masking, synthetic data generation, data subsetting, data discovery, database virtualization, data automation are our core business.
We see and understand the struggles of software development teams with test data. Personally Identifiable Information? Too large environments? Long waiting times for a test data refresh? We envision to solve these issues:
- Obfuscating, generating or masking databases and flat files;
- Extracting or filtering specific data content with data subsetting;
- Discovering, profiling and analysing solutions for understanding your test data,
- Automating, integrating and orchestrating test data provisioning into your CI/CD pipelines and
- Cloning, snapshotting and timetraveling throug your test data with database virtualization.
We improve and innovate our test data software with the latest technologies every single day to support medium to large size organizations in their Test Data Management.
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Palantir Gotham
Integrate, manage, secure, and analyze all of your enterprise data. Organizations have data. Lots of it. Structured data like log files, spreadsheets, and tables. Unstructured data like emails, documents, images, and videos. This data is typically stored in disconnected systems, where it rapidly diversifies in type, increases in volume, and becomes more difficult to use every day. The people who rely on this data don't think in terms of rows, columns, or raw text. They think in terms of their organization's mission and the challenges they face. They need a way to ask questions about their data and receive answers in a language they understand. Enter the Palantir Gotham Platform. Palantir Gotham integrates and transforms data, regardless of type or volume, into a single, coherent data asset. As data flows into the platform, it is enriched and mapped into meaningfully defined objects — people, places, things, and events — and the relationships that connect them.
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Google Cloud Datalab
An easy-to-use interactive tool for data exploration, analysis, visualization, and machine learning. Cloud Datalab is a powerful interactive tool created to explore, analyze, transform, and visualize data and build machine learning models on Google Cloud Platform. It runs on Compute Engine and connects to multiple cloud services easily so you can focus on your data science tasks. Cloud Datalab is built on Jupyter (formerly IPython), which boasts a thriving ecosystem of modules and a robust knowledge base. Cloud Datalab enables analysis of your data on BigQuery, AI Platform, Compute Engine, and Cloud Storage using Python, SQL, and JavaScript (for BigQuery user-defined functions). Whether you're analyzing megabytes or terabytes, Cloud Datalab has you covered. Query terabytes of data in BigQuery, run local analysis on sampled data, and run training jobs on terabytes of data in AI Platform seamlessly.
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AdvancedMiner
Algolytics provides software solutions and consulting services in the area of predictive analytics, risk management, data quality, social network analysis and advanced analysis of large data sets. Try one tool for data processing, analysis and modeling! The user-friendly workflow interface helps you explore all your data & more. Extracting and saving data from/to different database systems, files, and data transformations. Performing a wide range of operations on data, such as sampling, joining datasets, and dividing. AdvancedMiner offers limitless functionalities for advanced users that can be easily created and/or extended within the application. Support for SQL language (including analytical functions).
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