Top 10 Google Dataplex Alternatives & Competitors

Top 10 Alternatives to Google Dataplex Recently Reviewed By G2 Community

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Atlan
By Atlan
4.5/5
(123)
Product Description
Atlan is a Modern Data Workspace with the vision to enable data democratization within organizations, while maintaining the highest standards of governance and security. The diverse users of today’s modern data team, ranging from data engineers to business users, come together to collaborate on Atlan. By enabling data discovery, context sharing, governance, and security, data teams using Atlan are able to free upwards of 30% of their time—replacing manual, repetitive tasks with automation and minimizing dependency on IT. Teams using Atlan have been able to improve time to insight by 60X and create 100 additional data projects in a single quarter!
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Reviewers say compared to Google Dataplex, Atlan is:
Better at support
More usable
Categories in common with Google Dataplex:
Data Fabric

Astro by Astronomer
By Astronomer
4.5/5
(136)
Product Description
Astronomer is a data engineering platform designed to collect, process and unifiy enterprise data, so users can get straight to analytics, data science and insights.
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Reviewers say compared to Google Dataplex, Astro by Astronomer is:
Better at support
More usable
Better at meeting requirements
Categories in common with Google Dataplex:
Data Fabric

SAP Datasphere
By SAP
4.3/5
(111)
Product Description
SAP Datasphere is an out-of-the-box enterprise-ready data warehouse that brings people and information together.
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Reviewers say compared to Google Dataplex, SAP Datasphere is:
Better at support
Categories in common with Google Dataplex:
Data Fabric
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Elastic Stack
By Elastic
4.5/5
(95)
Product Description
The Elastic Stack, commonly known as the ELK Stack, is a comprehensive suite of open-source tools designed for ingesting, storing, analyzing, and visualizing data in real-time. It comprises Elasticsearch, Kibana, Beats, and Logstash, enabling users to handle data from any source and in any format efficiently. Key Features and Functionality: - Elasticsearch: A distributed, JSON-based search and analytics engine that allows for rapid storage, search, and analysis of large volumes of data. - Kibana: An extensible user interface that provides powerful visualizations, dashboards, and management tools to interpret and present data effectively. - Beats and Logstash: Data ingestion tools that collect and process data from various sources, transforming and forwarding it to Elasticsearch for indexing. - Integrations: A multitude of pre-built integrations that facilitate seamless data collection and connection with the Elastic Stack, enabling quick insights. Primary Value and User Solutions: The Elastic Stack empowers organizations to harness the full potential of their data by providing a scalable and resilient platform for real-time search and analytics. It addresses challenges such as managing large datasets, ensuring high availability, and delivering relevant search results swiftly. By offering a unified solution for data ingestion, storage, analysis, and visualization, the Elastic Stack enables users to gain actionable insights, enhance operational efficiency, and make informed decisions based on their data.
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Reviewers say compared to Google Dataplex, Elastic Stack is:
Better at meeting requirements
Categories in common with Google Dataplex:
Data Fabric

IBM Cloud Pak for Data
By IBM
4.3/5
(88)
Product Description
Your AI is only as good as the data that feeds it. With IBM Cloud Pak for Data, you can make your data ready for an AI and multi-cloud world and access an array of IBM Watson technologies at your fingertips. Rapidly provision services for data scientists, data engineers and developers so they can work faster than ever. Simplify hybrid data management, unified data governance and integration, data science and business analytics with a single solution.
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Reviewers say compared to Google Dataplex, IBM Cloud Pak for Data is:
Better at support
Categories in common with Google Dataplex:
Data Fabric

Talend Data Fabric
By Qlik
4.3/5
(67)
Product Description
Talend Data Fabric is a unified platform that enables you to manage all your enterprise data within a single environment. Leverage all the cloud has to offer to manage your entire data lifecycle – from connecting the broadest set of data sources and platforms to intuitive self-service data access.
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Categories in common with Google Dataplex:
Data Fabric

Secoda
By Secoda
4.5/5
(55)
Product Description
Secoda is the command center for your data. It consolidates your data catalog, governance, and observability tools to save time and money. By integrating with all data sources and dashboards, data teams get a single source of truth to deliver reliable data with less effort and more adoption. It is the fastest and easiest way for any data or business stakeholder to turn their insights into action.
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Reviewers say compared to Google Dataplex, Secoda is:
Better at support
Categories in common with Google Dataplex:
Data Fabric

Denodo
By Denodo
4.3/5
(45)
Product Description
Denodo provides performance and unified access to the broadest range of enterprise, Big Data, cloud and unstructured sources.
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Reviewers say compared to Google Dataplex, Denodo is:
More usable
Better at support
Categories in common with Google Dataplex:
Data Fabric

Incorta
By Incorta
4.4/5
(59)
Product Description
Incorta is the first and only open data delivery platform that enables real-time analysis of live, detailed data across all systems of record—without the need for complex ETL processes. By enabling direct analysis on raw, source-identical data, Incorta provides faster, more accurate insights while removing barriers to exploration. With intuitive low-code/no-code tools, AI-powered querying through Nexus, and prebuilt business data applications, enterprise teams can quickly surface insights, break down technical roadblocks, and make smarter decisions without heavy engineering effort. For more information, please visit www.incorta.com.
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Reviewers say compared to Google Dataplex, Incorta is:
Better at support
More usable
Better at meeting requirements
Categories in common with Google Dataplex:
Data Fabric

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