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DQOps VS Apache NiFi

Compare DQOps VS Apache NiFi and see what are their differences

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DQOps logo DQOps

Increase confidence in your data by tracking the data quality

Apache NiFi logo Apache NiFi

An easy to use, powerful, and reliable system to process and distribute data.
  • 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.

  • Apache NiFi Landing page
    Landing page //
    2019-01-17

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Apache NiFi videos

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Forget Duplicating Local Changes: Apache NiFi and the Flow Development Lifecycle (FDLC)

Category Popularity

0-100% (relative to DQOps and Apache NiFi)

DQOps

Apache NiFi

Analytics
12 12%
Analytics
88% 88
Data Quality
100 100%
Data Quality
0% 0
Data Integration
0 0%
Data Integration
100% 100
Data Management Platform (DMP)
100 100%
Data Management Platform (DMP)
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare DQOps and Apache NiFi

DQOps Reviews

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Apache NiFi Reviews

Top 8 Apache Airflow Alternatives in 2024
Another product by Apache is called NiFi – even though it’s also dedicated to data workflow management, it differs from Apache Airflow in many aspects. First of all, Apache NiFi is a completely web-based tool with a drag&drop interface and no coding. It’s easy to add and configure processors as graph nodes of data workflow, set up routing directions as graph edges, and...
Source: blog.skyvia.com
11 Best FREE Open-Source ETL Tools in 2024
Apache NiFi allows you to automate and manage the flow of information systems. It also enables NiFi to be an effective platform for building scalable and powerful dataflows. NiFi follows the fundamental concept of Flow-Based Programming. It has a highly configurable web-based UI, and houses features such as Data Provenance, Extensibility, and Security features.
Source: hevodata.com
10 Best Airflow Alternatives for 2024
Apache NiFi is a free and open-source application that automates data transfer across systems. The application comes with a web-based user interface to manage scalable directed graphs of data routing, transformation, and system mediation logic. It is a sophisticated and reliable data processing and distribution system. To edit data at runtime, it provides a highly flexible...
Source: hevodata.com
15 Best ETL Tools in 2022 (A Complete Updated List)
Apache Nifi simplifies the data flow between various systems using automation. The data flows consist of processors and a user can create their own processors. These flows can be saved as templates and later can be integrated with more complex flows. These complex flows can then be deployed to multiple servers with minimal efforts.
Source: www.softwaretestinghelp.com
Top 10 Popular Open-Source ETL Tools for 2021
Apache NiFi allows you to automate and manage the flow of information systems. It also enables NiFi to be an effective platform for building scalable and powerful dataflows. NiFi follows the fundamental concept of Flow-Based Programming. It has a highly configurable web-based UI, and houses features such as Data Provenance, Extensibility, and Security features.
Source: hevodata.com

Social recommendations and mentions

Based on our record, Apache NiFi seems to be more popular. It has been mentiond 16 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

DQOps mentions (0)

We have not tracked any mentions of DQOps yet. Tracking of DQOps recommendations started around Nov 2022.

Apache NiFi mentions (16)

  • Ask HN: What low code platforms are worth using?
    Apache NIFI (https://nifi.apache.org/). It uses the concept of Flow-based programming. Also its so underacknolged but this tool is very flexible. I have used as an Event Bus all the 3rd-Party Integrations. - Source: Hacker News / 8 months ago
  • Help with choosing techstack for a new DE team
    Presently setting up Apache Nifi + Apache MiNiFi for the ETL portion of my work. NiFi was easy enough to figure out; but the docs for MiNiFi have been a pain due to differences between the Java and C++ versions. I then entirely configured it with the Java version so that it was easier to search for answers for the MiNiFi yaml syntax. Source: 10 months ago
  • Json splitting and Rerouting (new to nifi)
    NIFI, like most Apache projects does most of its discussion on its mailing lists, but also has a slack. Source: about 1 year ago
  • Recommend ETL tool in Linux
    You might want to give a tool like nifi a try: Https://nifi.apache.org/. Source: about 1 year ago
  • Anki shared decks for Clickhouse and Apache Nifi
    Recently I got a job at a new company and now I need to learn about Clickhouse, Docker, Apache Nifi and Kafka. I've found the decks about Docker and Kafka, but I can't find ones about Clickhouse and Nifi. Https://clickhouse.com/docs/en/intro Https://nifi.apache.org/. Source: about 1 year ago
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What are some alternatives?

When comparing DQOps and Apache NiFi, you can also consider the following products

DQLabs.ai - The Modern Data Quality Platform.

StatCounter - StatCounter is a simple but powerful real-time web analytics service that helps you track, analyse and understand your visitors so you can make good decisions to become more successful online.

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

Histats - Start tracking your visitors in 1 minute!

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

AFSAnalytics - AFSAnalytics.

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