Software Alternatives & Reviews

Talend Big Data Platform VS DQOps

Compare Talend Big Data Platform VS DQOps and see what are their differences

Talend Big Data Platform logo Talend Big Data Platform

Talend Big Data Platform is a data integration and data quality platform built on Spark for cloud and on-premises.

DQOps logo DQOps

Increase confidence in your data by tracking the data quality
  • Talend Big Data Platform Landing page
    Landing page //
    2023-01-19
  • DQOps Checks in DQOps can be quickly edited with intuitive user interface
    Checks in DQOps can be quickly edited with intuitive user interface //
    2024-01-19
  • DQOps DQOps dashboards enable quick identification of tables with data quality issues
    DQOps dashboards enable quick identification of tables with data quality issues //
    2024-01-19
  • DQOps With DQOps, you can conveniently keep track of the issues that arise during data quality monitoring
    With DQOps, you can conveniently keep track of the issues that arise during data quality monitoring //
    2024-01-19
  • DQOps DQOps dashboards simplify monitoring of data quality KPIs
    DQOps dashboards simplify monitoring of data quality KPIs //
    2024-01-19
  • DQOps DQOps enables quick data profiling
    DQOps enables quick data profiling //
    2024-01-19
  • DQOps DQOps supports the most popular data sources
    DQOps supports the most popular data sources //
    2024-01-19

DQOps is an open-source data quality platform designed for data quality and data engineering teams that makes data quality visible to business sponsors.

The platform provides an efficient user interface to quickly add data sources, configure data quality checks, and manage issues. DQOps comes with over 150 built-in data quality checks, but you can also design custom checks to detect any business-relevant data quality issues. The platform supports incremental data quality monitoring to support analyzing data quality of very big tables. Track data quality KPI scores using our built-in or custom dashboards to show progress in improving data quality to business sponsors.

DQOps is DevOps-friendly, allowing you to define data quality definitions in YAML files stored in Git, run data quality checks directly from your data pipelines, or automate any action with a Python Client. DQOps works locally or as a SaaS platform.

DQOps

Website
dqops.com
$ Details
paid $5000.0 / Annually
Release Date
2020 January

Category Popularity

0-100% (relative to Talend Big Data Platform and DQOps)
Data Integration
100 100%
0% 0
Analytics
57 57%
43% 43
ETL
100 100%
0% 0
Data Quality
0 0%
100% 100

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What are some alternatives?

When comparing Talend Big Data Platform and DQOps, you can also consider the following products

Talend Data Integration - Talend offers open source middleware solutions that address big data integration, data management and application integration needs for businesses of all sizes.

DQLabs.ai - The Modern Data Quality Platform.

Matillion - Matillion is a cloud-based data integration software.

Collibra - Collibra automates data management processes by providing business-focused applications where collaboration and ease-of-use come first.

Talend Data Services Platform - Talend Data Services Platform is a single solution for data and application integration to deliver projects faster at a lower cost.

Melissa Data Quality - Melissa helps companies to harness Big Data, legacy data, and people data (names, addresses, phone numbers, and emails).