Snowflake vs. Tabular Comparison


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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.	About Tabular is an open table store from the creators of Apache Iceberg. Connect multiple computing engines and frameworks. Decrease query time and storage costs by up to 50%. Centralize enforcement of data access (RBAC) policies. Connect any query engine or framework, including Athena, BigQuery, Redshift, Snowflake, Databricks, Trino, Spark, and Python. Smart compaction, clustering, and other automated data services reduce storage costs and query times by up to 50%. Unify data access at the database or table. RBAC controls are simple to manage, consistently enforced, and easy to audit. Centralize your security down to the table. Tabular is easy to use plus it features high-powered ingestion, performance, and RBAC under the hood. Tabular gives you the flexibility to work with multiple “best of breed” compute engines based on their strengths. Assign privileges at the data warehouse database, table, or column level.
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 interested in a powerful and comprehensive cloud data platform	Audience Developers in need of a data platform to connect compute engines and frameworks
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 $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 Free Trial	Pricing $100 per month Free Version Free Trial
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	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
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.
Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information Snowflake Founded: 2012 United States www.snowflake.com	Company Information Tabular tabular.io
Alternatives Teradata VantageCloud Teradata	Alternatives R2 SQL Cloudflare
Google Cloud BigQuery Google	DuckDB
Amazon Web Services (AWS) Amazon	Trino
Databricks	Apache Iceberg Apache Software Foundation
Narrative View All	Amazon Athena Amazon View All
Categories AI Cloud Providers 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	Categories Database Query Engines
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 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 ETL Features Data Analysis Data Filtering Data Quality Control Job Scheduling Match & Merge Metadata Management Non-Relational Transformations Version Control
Integrations PuppyGraph SQL Starburst Enterprise 5X Bobsled ChatBetter Cribl AppScope DataLumio Datakin FeatureByte FinOpsly Kater.ai Luca Nixtla NuBot Ai Okera RestApp SmartProxy UnifyApps Voyage AI Show More Integrations View All 975 Integrations	Integrations PuppyGraph SQL Starburst Enterprise 5X Bobsled ChatBetter Cribl AppScope DataLumio Datakin FeatureByte FinOpsly Kater.ai Luca Nixtla NuBot Ai Okera RestApp SmartProxy UnifyApps Voyage AI Show More Integrations View All 20 Integrations
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