Top 10 Databricks Alternatives & Competitors

Top 10 Alternatives to Databricks Recently Reviewed By G2 Community

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Teradata Vantage
By Teradata
4.3/5
(360)
Product Description
The Teradata Database easily and efficiently handles complex data requirements and simplifies management of the data warehouse environment.
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Reviewers say compared to Databricks, Teradata Vantage is:
More expensive
Categories in common with Databricks:
Data Governance
Big Data Processing and Distribution
Big Data Analytics
Data Science and Machine Learning Platforms
Analytics Platforms

Snowflake
By Snowflake, Inc.
4.6/5
(685)
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 Databricks, Snowflake is:
Easier to admin
Easier to set up
Better at meeting requirements
Categories in common with Databricks:
MLOps Platforms
Big Data Processing and Distribution
Big Data Analytics
Data Science and Machine Learning Platforms
Data Warehouse

Google Cloud BigQuery
By Google
4.5/5
(1,221)
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 Databricks, Google Cloud BigQuery is:
Easier to admin
Easier to set up
Categories in common with Databricks:
ETL Tools
Big Data Processing and Distribution
Big Data Analytics
Data Warehouse
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Vertex AI
By Google
4.3/5
(651)
Product Description
Vertex AI is a managed machine learning (ML) platform that helps you build, train, and deploy ML models faster and easier. It includes a unified UI for the entire ML workflow, as well as a variety of tools and services to help you with every step of the process. Vertex AI Workbench is a cloud-based IDE that is included with Vertex AI. It makes it easy to develop and debug ML code. It provides a variety of features to help you with your ML workflow, such as code completion, linting, and debugging. Vertex AI and Vertex AI Workbench are a powerful combination that can help you accelerate your ML development. With Vertex AI, you can focus on building and training your models, while Vertex AI Workbench takes care of the rest. This frees you up to be more productive and creative, and it helps you get your models into production faster. If you're looking for a powerful and easy-to-use ML platform, then Vertex AI is a great option. With Vertex AI, you can build, train, and deploy ML models faster and easier than ever before.
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Categories in common with Databricks:
MLOps Platforms
Data Science and Machine Learning Platforms
Generative AI Infrastructure
AI Agent Builders

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 Databricks:
Big Data Processing and Distribution
Big Data Analytics
Data Science and Machine Learning Platforms

dbt
By Fivetran
4.7/5
(197)
Product Description
dbt is a transformation workflow that lets teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. Now anyone who knows SQL can build production-grade data pipelines.
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Reviewers say compared to Databricks, dbt is:
Better at meeting requirements
Easier to admin
Better at support
Categories in common with Databricks:
DataOps Platforms
ETL Tools
Big Data Analytics

SAS Viya
By SAS Institute Inc.
4.3/5
(728)
Product Description
As a cloud-native AI, analytics and data management platform, SAS Viya enables you to scale cost-effectively, increase productivity and innovate faster, backed by trust and transparency. SAS Viya makes it possible to integrate teams and technology enabling all users to work together successfully to turn critical questions into accurate decisions.
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Reviewers say compared to Databricks, SAS Viya is:
Slower to reach roi
Categories in common with Databricks:
MLOps Platforms
Data Governance
Data Science and Machine Learning Platforms
Analytics Platforms
Database Management Systems (DBMS)

SAP HANA Cloud
By SAP
4.3/5
(593)
Product Description
SAP HANA Cloud is the cloud-native data foundation of SAP Business Technology Platform, it stores, processes and analyzes data in real time at petabyte scale and converges multiple data types in a single system while managing it more efficiently with integrated multitier storage.
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Reviewers say compared to Databricks, SAP HANA Cloud is:
Slower to reach roi
More expensive
Categories in common with Databricks:
MLOps Platforms
Data Science and Machine Learning Platforms
Database Management Systems (DBMS)

Amazon Redshift
By Amazon Web Services (AWS)
4.3/5
(399)
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 Databricks, Amazon Redshift is:
Slower to reach roi
Easier to admin
Categories in common with Databricks:
Data Warehouse

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