Top 10 Azure Databricks Alternatives & Competitors

Top 10 Alternatives to Azure Databricks Recently Reviewed By G2 Community

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Alteryx
By Alteryx
4.6/5
(817)
Product Description
Alteryx drives transformational business outcomes through unified analytics, data science, and process automation.
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Reviewers say compared to Azure Databricks, Alteryx is:
Easier to do business with
More usable
More expensive
Categories in common with Azure Databricks:
Big Data Analytics

Snowflake
By Snowflake, Inc.
4.5/5
(754)
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 Azure Databricks, Snowflake is:
More usable
Better at meeting requirements
Easier to set up
Categories in common with Azure Databricks:
Big Data Analytics

Splunk Enterprise
By Cisco
4.3/5
(433)
Product Description
Splunk is a software platform for machine data that enables customers to gain real-time Operational Intelligence.
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Reviewers say compared to Azure Databricks, Splunk Enterprise is:
More expensive
Better at meeting requirements
Categories in common with Azure Databricks:
Big Data Analytics

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Cloudera Platform
By Cloudera
4.1/5
(136)
Product Description
Cloudera Enterprise Core provides a single Hadoop storage and management platform that natively combines storage, processing and exploration for the enterprise.
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Categories in common with Azure Databricks:
Big Data Analytics

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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Categories in common with Azure Databricks:
Big Data Analytics

Google Cloud BigQuery
By Google
4.5/5
(1,225)
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 Azure Databricks, Google Cloud BigQuery is:
More usable
Easier to admin
Easier to set up
Categories in common with Azure Databricks:
Big Data Analytics

EXASOL
By EXASOL
4.7/5
(28)
Product Description
EXASOL is a high-performance, in-memory, MPP database specifically designed for in-memory analytics. From business-critical data applications to advanced analytics, the database helps you to analyze large volumes of data in real-time, helping you to accelerate your BI and reporting, and to turn data into value.
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Reviewers say compared to Azure Databricks, EXASOL is:
Easier to admin
Easier to do business with
Better at support
Categories in common with Azure Databricks:
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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Categories in common with Azure Databricks:
Big Data Analytics

Dremio
By Dremio
4.6/5
(70)
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 Azure Databricks, Dremio is:
More usable
Easier to do business with
Better at support
Categories in common with Azure Databricks:
Big Data Analytics