Top 10 Cloudera Alternatives & Competitors

Top 10 Alternatives to Cloudera Recently Reviewed By G2 Community

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Google Cloud BigQuery
By Google
4.5/5
(1,219)
Product Description
Analyze Big Data in the cloud with BigQuery. Run fast, SQL-like queries against multi-terabyte datasets in seconds. Scalable and easy to use, BigQuery gives you real-time insights about your data.
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Reviewers say compared to Cloudera, Google Cloud BigQuery is:
Better at support
Easier to admin
More usable
Categories in common with Cloudera:
Big Data Processing and Distribution
Big Data Analytics
Data Warehouse
Big Data Integration Platforms

Snowflake
By Snowflake, Inc.
4.6/5
(684)
Product Description
Snowflake’s platform eliminates data silos and simplifies architectures, so organizations can get more value from their data. The platform is designed as a single, unified product with automations that reduce complexity and help ensure everything “just works”. To support a wide range of workloads, it’s optimized for performance at scale no matter whether someone’s working with SQL, Python, or other languages. And it’s globally connected so organizations can securely access the most relevant content across clouds and regions, with one consistent experience.
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Reviewers say compared to Cloudera, Snowflake is:
Better at support
Easier to admin
More usable
Categories in common with Cloudera:
Big Data Processing and Distribution
Big Data Analytics
Data Warehouse
Big Data Integration Platforms

Databricks
By Databricks Inc.
4.6/5
(660)
Product Description
Making big data simple
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Reviewers say compared to Cloudera, Databricks is:
Better at support
More usable
Easier to do business with
Categories in common with Cloudera:
Big Data Processing and Distribution
Big Data Analytics
Data Warehouse
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Amazon Redshift
By Amazon Web Services (AWS)
4.3/5
(398)
Product Description
Amazon Redshift is a fast, fully managed data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing Business Intelligence (BI) tools.
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Reviewers say compared to Cloudera, Amazon Redshift is:
Better at support
Easier to admin
More usable
Categories in common with Cloudera:
Data Warehouse
Big Data Integration Platforms

Confluent
By Confluent
4.4/5
(114)
Product Description
A stream data platform.
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Reviewers say compared to Cloudera, Confluent is:
Better at support
More expensive
Easier to admin
Categories in common with Cloudera:
Big Data Processing and Distribution
Big Data Analytics

Qubole
By Qubole
4/5
(259)
Product Description
Qubole delivers a Self-Service Platform for Big Data Analytics built on Amazon, Microsoft and Google Clouds
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Reviewers say compared to Cloudera, Qubole is:
Better at support
Easier to admin
More expensive
Categories in common with Cloudera:
Big Data Processing and Distribution
Big Data Analytics
Big Data Integration Platforms

Dremio
By Dremio
4.6/5
(69)
Product Description
Dremio is a data analysis software. It is self-service data platform provided that users discover, accelerate and share data at any time.
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Reviewers say compared to Cloudera, Dremio is:
Better at support
More usable
Easier to do business with
Categories in common with Cloudera:
Big Data Processing and Distribution
Big Data Analytics
Data Warehouse

Azure Databricks
By Microsoft
4.5/5
(229)
Product Description
Azure Databricks is a unified, open analytics platform developed collaboratively by Microsoft and Databricks. Built on the lakehouse architecture, it seamlessly integrates data engineering, data science, and machine learning within the Azure ecosystem. This platform simplifies the development and deployment of data-driven applications by providing a collaborative workspace that supports multiple programming languages, including SQL, Python, R, and Scala. By leveraging Azure Databricks, organizations can efficiently process large-scale data, perform advanced analytics, and build AI solutions, all while benefiting from the scalability and security of Azure. Key Features and Functionality: - Lakehouse Architecture: Combines the best elements of data lakes and data warehouses, enabling unified data storage and analytics. - Collaborative Notebooks: Interactive workspaces that support multiple languages, facilitating teamwork among data engineers, data scientists, and analysts. - Optimized Apache Spark Engine: Enhances performance for big data processing tasks, ensuring faster and more reliable analytics. - Delta Lake Integration: Provides ACID transactions and scalable metadata handling, improving data reliability and consistency. - Seamless Azure Integration: Offers native connectivity to Azure services like Power BI, Azure Data Lake Storage, and Azure Synapse Analytics, streamlining data workflows. - Advanced Machine Learning Support: Includes pre-configured environments for machine learning and AI development, with support for popular frameworks and libraries. Primary Value and Solutions Provided: Azure Databricks addresses the challenges of managing and analyzing vast amounts of data by offering a scalable and collaborative platform that unifies data engineering, data science, and machine learning. It simplifies complex data workflows, accelerates time-to-insight, and enables the development of AI-driven solutions. By integrating seamlessly with Azure services, it ensures secure and efficient data processing, helping organizations make data-driven decisions and innovate rapidly.
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Reviewers say compared to Cloudera, Azure Databricks is:
Better at support
Easier to admin
More usable
Categories in common with Cloudera:
Big Data Analytics

OpenText Vertica
By OpenText
4.3/5
(216)
Product Description
Vertica offers a software-based analytics platform designed to help organizations of all sizes monetize data in real time and at massive scale.
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Reviewers say compared to Cloudera, OpenText Vertica is:
Better at support
Easier to admin
More usable
Categories in common with Cloudera:
Big Data Processing and Distribution
Data Warehouse

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