Apache Spark vs. Snowflake Comparison


Apache Spark Apache Software Foundation	Snowflake 4.8 out of 5 stars
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Apache Spark	Snowflake
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Apache Spark: 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.	Snowflake: 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.
Apache Spark: Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Snowflake: Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Apache Spark: Audience Organizations that want a unified analytics engine for large-scale data processing	Snowflake: Audience Organizations interested in a powerful and comprehensive cloud data platform
Apache Spark: Support Phone Support Not Supported 24/7 Live Support Not Supported Online Not Supported	Snowflake: Support Phone Support Not Supported 24/7 Live Support Supported Online Supported
Apache Spark: API Offers API Not Supported	Snowflake: API Offers API Not Supported
Apache Spark: Screenshots and Videos View more images or videos	Snowflake: Screenshots and Videos View more images or videos
Apache Spark: Pricing No information available. Free Version Supported Free Trial Not Supported	Snowflake: Pricing $2/credit Pay for the compute and storage you actually use. - Turn compute resources on and off, so you only pay for what you use - Store near-unlimited amounts of data at affordable cloud rates - Grow your analytics infrastructure with linear cost scalability Free Version Not Supported Free Trial Supported
Apache Spark: 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	Snowflake: 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
	Snowflake: Pros & Cons from Real Users Pros Snowflake is being used across our whole organization. It addresses the need to combine disparate data sources into one single data source and discover insights into our business that would not be easily possible with lots of disconnected data sources. It has great SQL features like LISTAGG or Count Distinct, which go above and beyond Oracle and MS SQL. - Reporting queries run in a fraction of the time that they would in our production systems - We can run simple SQL queries. - Scales up and down seamlessly - Optimized table structures under the hood - Sharing data between accounts - Easy if use - Continuous data pipelines - Snowflake also includes caching at various levels to help speed up your queries and minimum costs. - Support members are very good. Snowflake is acting as a company-wide Data Repository. With its cloud architecture and scalability, it addresses our storage, warehouse, and computation problem at the same time. Snowflake has powerful group roles and policy, which makes it beneficial for enterprise edition and usage. Snowflake acts as a single platform for both data storage and warehousing needs. For deployment purposes, it has the best group policy management and the best UI I've encountered personally. It also accommodates direct connection with AWS and Azure, which is another advantage. - Hosted on cloud: Helps with scalability. - Handling large data scale and ingestion - Separation of compute and storage - Community is active and ever-growing: You will have someone from the community to help whenever you need it. Simple & clean interface Great querying performance Integration with all the major cloud providers Easy to learn querying language Good documentation (+) Easy to adapt and easy to use. (+) The run time of queries is much faster compared to other products in the market. (+) One can select a part of a query for execution. (+) Integration with S3 and other data storage platforms makes snowflake more compatible. (+) One may run concurrent queries without giving up on speed. Cons Nothing to dislike in Snowflake. Awesome data warehouse for huge data set. - Very expensive - Indexing by primary key is non performant Web based IDE is not suitable for writing complex queries, it feels sluggish when heavily used. (-) Performance drops in the case of multiple users. (-) No option for scheduling of a task or a query. (-) The coding syntax has some restrictions like the case-sensitivity issue.
Apache Spark: Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Snowflake: Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Apache Spark: Company Information Apache Software Foundation Founded: 1999 United States spark.apache.org	Snowflake: Company Information Snowflake Founded: 2012 United States www.snowflake.com
Apache Spark: Alternatives TIMi 4.9 out of 5 stars	Snowflake: Alternatives Google Cloud BigQuery Google 4.5 out of 5 stars
Apache Spark: Snowflake 4.8 out of 5 stars	Snowflake: Amazon Web Services (AWS) Amazon 4.8 out of 5 stars
Apache Spark: dbt dbt Labs 5.0 out of 5 stars	Snowflake: Denodo Denodo Technologies 4.6 out of 5 stars
Apache Spark: MLlib Apache Software Foundation	Snowflake: Databricks
Apache Spark: PySpark View All	Snowflake: Teradata VantageCloud Teradata 5.0 out of 5 stars View All
Apache Spark: Categories Big Data Supported Data Analysis Supported Data Modeling Supported Query Engines Supported Streaming Analytics Supported	Snowflake: Categories AI Cloud Providers Supported AI Infrastructure Supported Big Data Supported Columnar Databases Supported Data as a Service (DaaS) Supported Data Clean Room Supported Data Exchange Supported Data Governance Supported Data Lake Supported Data Management Supported Data Marketplaces Supported Data Monetization Supported Data Preparation Supported Data Science Supported Data Warehouse Supported Database Supported Database Management Systems (DBMS) Supported ETL Supported LLM API Supported Machine Learning Supported OLAP Databases Supported Query Engines Supported SQL Databases Supported
Apache Spark: Show More Features Streaming Analytics Features Data Enrichment Supported Data Wrangling / Data Prep Supported Multiple Data Source Support Supported Process Automation Supported Real-time Analysis / Reporting Not Supported Visualization Dashboards Not Supported	Snowflake: Show More Features Data Warehouse Features Ad hoc Query Not Supported Analytics Supported Data Integration Not Supported Data Migration Supported Data Quality Control Not Supported ETL - Extract / Transfer / Load Not Supported In-Memory Processing Not Supported Match & Merge Not Supported Database Features Backup and Recovery Not Supported Creation / Development Not Supported Data Migration Not Supported Data Replication Not Supported Data Search Not Supported Data Security Not Supported Database Conversion Not Supported Mobile Access Not Supported Monitoring Not Supported NOSQL Not Supported Performance Analysis Supported Queries Not Supported Relational Interface Not Supported Virtualization Not Supported ETL Features Data Analysis Supported Data Filtering Not Supported Data Quality Control Not Supported Job Scheduling Not Supported Match & Merge Not Supported Metadata Management Not Supported Non-Relational Transformations Not Supported Version Control Not Supported
Apache Spark: Integrations Amazon SageMaker Data Wrangler Supported Amundsen Supported Coginiti Supported DataHub Supported Flyte Supported HStreamDB Supported Hue Supported Lyftrondata Supported Metabase Supported ModelOp Supported Okera Supported Privacera Supported Progress DataDirect Supported Quorso Supported Retina Supported Timbr.ai Supported Union Cloud Supported Unity Catalog Supported definity Supported Show More Integrations View All 187 Integrations	Snowflake: Integrations Amazon SageMaker Data Wrangler Supported Amundsen Supported Coginiti Supported DataHub Supported Flyte Supported HStreamDB Supported Hue Supported Lyftrondata Supported Metabase Supported ModelOp Supported Okera Supported Privacera Supported Progress DataDirect Supported Quorso Supported Retina Supported Timbr.ai Supported Union Cloud Supported Unity Catalog Supported definity Supported Show More Integrations View All 1066 Integrations
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