Top 10 Tengu DataOps platform Alternatives & Competitors

Top 10 Alternatives to Tengu DataOps platform Recently Reviewed By G2 Community

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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 Tengu DataOps platform, Astro by Astronomer is:
Better at meeting requirements
More usable
Better at support
Categories in common with Tengu DataOps platform:
Data Fabric

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 Tengu DataOps platform, Atlan is:
Better at support
More usable
Better at meeting requirements
Categories in common with Tengu DataOps platform:
Data Fabric

SAP Datasphere
By SAP
4.3/5
(114)
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 Tengu DataOps platform, SAP Datasphere is:
Better at meeting requirements
Categories in common with Tengu DataOps platform:
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 Tengu DataOps platform, Elastic Stack is:
Better at meeting requirements
Categories in common with Tengu DataOps platform:
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 Tengu DataOps platform, IBM Cloud Pak for Data is:
Better at meeting requirements
Categories in common with Tengu DataOps platform:
Data Fabric

InterSystems IRIS
By InterSystems
4.6/5
(68)
Product Description
InterSystems IRIS is a Complete Data Platform that gives you everything you need to capture, share, understand, and act upon your organization's most valuable asset: your data.
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Reviewers say compared to Tengu DataOps platform, InterSystems IRIS is:
Better at meeting requirements
Categories in common with Tengu DataOps platform:
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 Tengu DataOps platform:
Data Fabric

Progress MarkLogic
By Progress Software
4.3/5
(65)
Product Description
Schema-agnostic Enterprise NoSQL database technology, coupled w/ powerful search & flexible application services.
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Reviewers say compared to Tengu DataOps platform, Progress MarkLogic is:
Better at meeting requirements
Categories in common with Tengu DataOps platform:
Data Fabric

ServiceNow Workflow Data Fabric
By ServiceNow
4.4/5
(64)
Product Description
Unify your approach to hyperautomation with API integration and robotic process automation (RPA), all on a single platform. Automate and connect anything to ServiceNow.
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Reviewers say compared to Tengu DataOps platform, ServiceNow Workflow Data Fabric is:
Better at meeting requirements
Categories in common with Tengu DataOps platform:
Data Fabric

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