Apache Spark vs. Snowflake Comparison


Apache Spark Apache Software Foundation	Snowflake	+	+
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About Apache Spark™ is a unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python, R, and SQL shells. Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application. Spark runs on Hadoop, Apache Mesos, Kubernetes, standalone, or in the cloud. It can access diverse data sources. You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN, on Mesos, or on Kubernetes. Access data in HDFS, Alluxio, Apache Cassandra, Apache HBase, Apache Hive, and hundreds of other data sources.	About Snowflake is a comprehensive AI Data Cloud platform designed to eliminate data silos and simplify data architectures, enabling organizations to get more value from their data. The platform offers interoperable storage that provides near-infinite scale and access to diverse data sources, both inside and outside Snowflake. Its elastic compute engine delivers high performance for any number of users, workloads, and data volumes with seamless scalability. Snowflake’s Cortex AI accelerates enterprise AI by providing secure access to leading large language models (LLMs) and data chat services. The platform’s cloud services automate complex resource management, ensuring reliability and cost efficiency. Trusted by over 11,000 global customers across industries, Snowflake helps businesses collaborate on data, build data applications, and maintain a competitive edge.
Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook
Audience Organizations that want a unified analytics engine for large-scale data processing	Audience Organizations interested in a powerful and comprehensive cloud data platform
Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online
API Offers API	API Offers API
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Free Trial	Pricing $2 compute/month Free Version Free Trial
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 4.8 / 5 ease 4.8 / 5 features 5.0 / 5 design 4.8 / 5 support 4.8 / 5 Read all reviews
Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information Apache Software Foundation Founded: 1999 United States spark.apache.org	Company Information Snowflake Founded: 2012 United States www.snowflake.com
Alternatives dbt dbt Labs	Alternatives Teradata VantageCloud Teradata
AWS Glue Amazon	Google Cloud BigQuery Google
Snowflake	Amazon Web Services (AWS) Amazon
MLlib Apache Software Foundation	Databricks Data Intelligence Platform Databricks
PySpark View All	Narrative View All
Categories Big Data Data Analysis Data Modeling Query Engines Streaming Analytics	Categories AI Infrastructure Big Data Columnar Databases Data as a Service (DaaS) Data Clean Room Data Exchange Data Governance Data Lake Data Management Data Marketplaces Data Monetization Data Preparation Data Science Data Warehouse Database Database Management Systems (DBMS) ETL LLM API Machine Learning OLAP Databases Query Engines SQL Databases
Show More Features Streaming Analytics Features Data Enrichment Data Wrangling / Data Prep Multiple Data Source Support Process Automation Real-time Analysis / Reporting Visualization Dashboards	Show More Features Data Warehouse Features Ad hoc Query Analytics Data Integration Data Migration Data Quality Control ETL - Extract / Transfer / Load In-Memory Processing Match & Merge Database Features Backup and Recovery Creation / Development Data Migration Data Replication Data Search Data Security Database Conversion Mobile Access Monitoring NOSQL Performance Analysis Queries Relational Interface Virtualization ETL Features Data Analysis Data Filtering Data Quality Control Job Scheduling Match & Merge Metadata Management Non-Relational Transformations Version Control
Integrations Alteryx Coginiti DataHub Flyte Foundational Great Expectations IBM Databand Lyftrondata Mage Sensitive Data Discovery Metabase Molecula Onehouse Precisely Connect Privacera Quorso Sifflet Tabular Telmai Timbr.ai definity Show More Integrations View All 177 Integrations	Integrations Alteryx Coginiti DataHub Flyte Foundational Great Expectations IBM Databand Lyftrondata Mage Sensitive Data Discovery Metabase Molecula Onehouse Precisely Connect Privacera Quorso Sifflet Tabular Telmai Timbr.ai definity Show More Integrations View All 860 Integrations
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