About

A holistic component-based platform for automating Data Reconciliation tests in modern Data Lake and Cloud Data Migration projects using Apache Spark. DataOps DataFlow is a modern, web browser-based solution for automating the testing of ETL, Data Warehouse, and Data Migration projects. Use Dataflow to inject data from any of the varied data sources, compare data, and load differences to S3 or a database. With fast and easy to set up, create and run dataflow in minutes. A best in the class testing tool for Big Data Testing DataOps DataFlow can integrate with all modern and advanced data sources including RDBMS, NoSQL, Cloud, and File-Based.

About

Enjoy the highest performance and unlimited possibilities when working with SQL Server. SQL Server Data Access Components (SDAC) is a library of components that provides native connectivity to SQL Server from Delphi and C++Builder including Community Edition, as well as Lazarus (and Free Pascal) for Windows, Linux, macOS, iOS, and Android for both 32-bit and 64-bit platforms. SDAC-based applications connect to SQL Server directly through OLE DB, which is a native SQL Server interface. SDAC is designed to help programmers develop faster and cleaner SQL Server database applications. SDAC, a high-performance, and feature-rich SQL Server connectivity solution is a complete replacement for standard SQL Server connectivity solutions and presents an efficient native alternative to the Borland Database Engine (BDE) and standard dbExpress driver for access to SQL Server. SDAC-based DB applications are easy to deploy, and do not require the installation of other data provider layers.

About

iceDQ is the #1 data reliability platform offering powerful, unified capabilities for Data Testing, Data Monitoring, and Data Observability. Designed for modern data environments, iceDQ automates complex data pipelines and data migration testing to ensure accuracy, integrity, and trust in your data systems. Its AI-based observability engine continuously monitors data in real-time, quickly detecting anomalies and minimizing business risks. With robust cross-platform connectivity, iceDQ supports seamless data validation, data profiling, and data reconciliation across diverse sources — including databases, files, data lakes, SaaS applications, and cloud environments. Whether you're migrating data, ensuring ETL/ELT process quality, or monitoring live data streams, iceDQ helps enterprises deliver high-quality, reliable data at scale. From financial services to healthcare and beyond, organizations rely on iceDQ to make confident, data-driven decisions backed by trusted data pipelines.

About

Scikit-learn provides simple and efficient tools for predictive data analysis. Scikit-learn is a robust, open source machine learning library for the Python programming language, designed to provide simple and efficient tools for data analysis and modeling. Built on the foundations of popular scientific libraries like NumPy, SciPy, and Matplotlib, scikit-learn offers a wide range of supervised and unsupervised learning algorithms, making it an essential toolkit for data scientists, machine learning engineers, and researchers. The library is organized into a consistent and flexible framework, where various components can be combined and customized to suit specific needs. This modularity makes it easy for users to build complex pipelines, automate repetitive tasks, and integrate scikit-learn into larger machine-learning workflows. Additionally, the library’s emphasis on interoperability ensures that it works seamlessly with other Python libraries, facilitating smooth data processing.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Organizations searching for a Data Management solution

Audience

Programmers in need of a tool to develop faster and cleaner SQL Server database applications

Audience

Companies that need a powerful DataOps platform for testing and monitoring

Audience

Engineers and data scientists requiring a solution to manage and improve their machine learning research

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Contact us
Free Version
Free Trial

Pricing

$199.95 per year
Free Version
Free Trial

Pricing

$1000
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Datagaps
Founded: 2010
United States
www.datagaps.com/dataops-dataflow/

Company Information

Devart
Founded: 1997
Czech Republic
www.devart.com/sdac/

Company Information

iceDQ
Founded: 2005
United States
icedq.com

Company Information

scikit-learn
United States
scikit-learn.org/stable/

Alternatives

Alternatives

Alternatives

Alternatives

Gensim

Gensim

Radim Řehůřek
Composable DataOps Platform

Composable DataOps Platform

Composable Analytics
ML.NET

ML.NET

Microsoft
MLlib

MLlib

Apache Software Foundation
DataBuck

DataBuck

FirstEigen
Apache NiFi

Apache NiFi

Apache Software Foundation
Keepsake

Keepsake

Replicate

Categories

Categories

Categories

Categories

Data Management Features

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Automated Testing Features

Hierarchical View
Move & Copy
Parameterized Testing
Requirements-Based Testing
Security Testing
Supports Parallel Execution
Test Script Reviews
Unicode Compliance

Integrations

Amazon Redshift
Azure SQL Database
Azure Synapse Analytics
Cloudera
DagsHub
Datagaps DataOps Suite
Delphi
Flower
FreeBSD
Guild AI
Intel Tiber AI Studio
Jenkins
Keepsake
Matplotlib
ModelOp
NumPy
Python
SQL Server
Snowflake
Tableau

Integrations

Amazon Redshift
Azure SQL Database
Azure Synapse Analytics
Cloudera
DagsHub
Datagaps DataOps Suite
Delphi
Flower
FreeBSD
Guild AI
Intel Tiber AI Studio
Jenkins
Keepsake
Matplotlib
ModelOp
NumPy
Python
SQL Server
Snowflake
Tableau

Integrations

Amazon Redshift
Azure SQL Database
Azure Synapse Analytics
Cloudera
DagsHub
Datagaps DataOps Suite
Delphi
Flower
FreeBSD
Guild AI
Intel Tiber AI Studio
Jenkins
Keepsake
Matplotlib
ModelOp
NumPy
Python
SQL Server
Snowflake
Tableau

Integrations

Amazon Redshift
Azure SQL Database
Azure Synapse Analytics
Cloudera
DagsHub
Datagaps DataOps Suite
Delphi
Flower
FreeBSD
Guild AI
Intel Tiber AI Studio
Jenkins
Keepsake
Matplotlib
ModelOp
NumPy
Python
SQL Server
Snowflake
Tableau
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