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Sigma Computing VS Amazon Redshift

Compare Sigma Computing VS Amazon Redshift and see what are their differences

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Sigma Computing logo Sigma Computing

Sigma is the only BI analytics tool purpose-built for your cloud data warehouse. Uniquely scalable, with an experience you already know: the spreadsheet.

Amazon Redshift logo Amazon Redshift

Learn about Amazon Redshift cloud data warehouse.
  • Sigma Computing Landing page
    Landing page //
    2023-04-14

Sigma unlocks the value of data by delivering cloud-scale analytics and business intelligence with the simplicity of a spreadsheet, complete with pivot tables and dashboards.

Empower business professionals and data teams to quickly explore, analyze, visualize, and collaborate, leveraging all of their Snowflake data.

Sigma is a fully-managed SaaS offering that translates the spreadsheet functions and formulas you already know into optimized SQL required to directly interact with cloud data warehouses. Instead of storing your data, Sigma utilizes optimized query execution at cloud scale to deliver interactive experiences over billion-row datasets.

  • Amazon Redshift Landing page
    Landing page //
    2023-03-14

Sigma Computing features and specs

  • User-Friendly Interface
    Sigma Computing offers a highly intuitive, spreadsheet-like interface that allows users to perform data analysis without needing to know complex programming languages.
  • Real-Time Collaboration
    It allows teams to collaborate in real-time on data projects, ensuring seamless communication and rapid data-driven decision-making.
  • Direct Data Warehouse Connectivity
    Sigma Computing connects directly to cloud data warehouses, enabling users to access and analyze large data sets without data extraction or movement.
  • Scalability
    The platform is built to scale with your organization's needs, capable of handling increasing data volumes and user demands effortlessly.
  • Security and Compliance
    It includes robust security features and compliance standards to protect sensitive data and meet regulatory requirements.

Possible disadvantages of Sigma Computing

  • Learning Curve
    Though user-friendly, new users may still experience a learning curve, particularly if they lack experience in data analysis.
  • Limited Advanced Customization
    Some advanced users may find the customization options limited compared to fully programmable data analytics solutions.
  • Pricing
    The pricing structure might be a barrier for small businesses or startups with limited budgets.
  • Performance Constraints
    While generally robust, complex queries or extremely large data sets may lead to performance limitations.
  • Dependence on Cloud Infrastructure
    Its functionalities rely heavily on cloud infrastructure, which can be a drawback for companies preferring on-premises solutions.

Amazon Redshift features and specs

  • Scalability
    Amazon Redshift allows you to scale your data warehouse up or down easily based on your needs with just a few clicks or by using the API, providing flexibility to handle varying workloads.
  • Performance
    Redshift uses columnar storage, parallel processing, and efficient data compression techniques to deliver high performance for complex queries and large datasets.
  • Integration
    It seamlessly integrates with various AWS services like S3, DynamoDB, and QuickSight, making it easier to build a comprehensive data ecosystem.
  • Cost-effective
    Redshift offers a pay-as-you-go pricing model with no upfront costs, and you can save more with reserved instances, making it cost-effective for many businesses.
  • Security
    It includes features like encryption, Virtual Private Cloud (VPC), and compliance certifications (such as SOC 1, SOC 2, SOC 3, and more) to ensure data security and compliance.
  • Managed Service
    Amazon Redshift is a fully managed service, so it takes care of managing, monitoring, and scaling the infrastructure, allowing you to focus on your data and insights.

Possible disadvantages of Amazon Redshift

  • Complexity
    Although Redshift is powerful, it can be complex to set up, configure, and optimize for best performance, requiring knowledge and experience in data warehousing.
  • Cost for Unused Resources
    While Redshift is cost-effective for large-scale operations, costs can add up quickly if resources are not managed properly, especially with long-running clusters that are under-utilized.
  • Maintenance Windows
    Despite being a managed service, maintenance windows and updates can occasionally lead to downtime or performance degradation, impacting availability.
  • Data Transfer Costs
    Transferring data in and out of Redshift can incur additional costs, particularly if large volumes of data are involved, which can affect overall budget planning.
  • Vendor Lock-in
    Using Amazon Redshift ties you to the AWS ecosystem, which could be a disadvantage if you are considering a multi-cloud strategy or planning to switch providers in the future.

Analysis of Amazon Redshift

Overall verdict

  • Amazon Redshift is generally considered a good solution for businesses seeking a robust, scalable, and cost-effective data warehousing service within the AWS cloud environment. However, its suitability may vary depending on specific organizational needs and workloads.

Why this product is good

  • Amazon Redshift is a popular data warehousing service within the AWS ecosystem, known for its scalability, ease of integration with other AWS services, and relatively low cost. It provides fast query performance for large datasets and offers features like columnar storage, parallel query execution, and advanced compression. These attributes make it an attractive choice for organizations looking to perform complex analytics and data processing tasks.

Recommended for

  • Organizations already utilizing AWS services and seeking seamless integration.
  • Businesses requiring scalable data warehousing at a competitive price.
  • Data-driven companies looking to perform fast, complex analytics on large datasets.
  • Teams needing flexible management options that can grow with their data storage needs.

Sigma Computing videos

+ Add

What Can Sigma Do For You

More videos:

  • Review - Sigma Computing CEO On The Snowflake IPO

Amazon Redshift videos

+ Add

Getting Started with Amazon Redshift - AWS Online Tech Talks

More videos:

  • Review - Amazon Redshift Materialized Views
  • Tutorial - Amazon Redshift Tutorial | Amazon Redshift Architecture | AWS Tutorial For Beginners | Simplilearn

Category Popularity

0-100% (relative to Sigma Computing and Amazon Redshift)

Sigma Computing

Amazon Redshift

Analytics
100 100%
Analytics
0% 0
Databases
0 0%
Databases
100% 100
Business Intelligence
100 100%
Business Intelligence
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Sigma Computing and Amazon Redshift

Sigma Computing Reviews

10 Best Alternatives to Looker in 2024
Sigma Computing stands out as a top alternative to Looker, offering a powerful blend of user-friendly access and advanced data manipulation capabilities. This section outlines how Sigma meets the essential requirements of a robust business intelligence tool.
Source: www.sigmacomputing.com
10 Best Looker Alternatives in 2024 | A Practitioner Review
Sigma Computing combines the power of SQL with an intuitive, spreadsheet-like interface, making it accessible for both technical and non-technical users. This design allows users to interact with data in a familiar spreadsheet interface while still leveraging the full capabilities of cloud data warehouses like Snowflake, Redshift, and BigQuery.
Source: www.holistics.io
8 Best Open Source SIEM Tools
Sigma is an open signature format that allows you to define log events. You can apply Sigma rules to any log file format to augment its data with relevant security information. As the Sigma project states, “Sigma is for log files what Snort is for network traffic and YARA is for files.”
Source: www.logiq.ai

Amazon Redshift Reviews

Data Warehouse Tools
No, SQL (Structured Query Language) is not a data warehouse itself. SQL is a programming language used for managing and querying data stored in relational database management systems (RDBMS) and data warehouses. Many data warehouse solutions, such as Peliqan, Amazon Redshift, and PostgreSQL, support SQL for querying and analyzing data within the data warehouse
Source: peliqan.io
Top 6 Cloud Data Warehouses in 2023
Coined in November 2021, Amazon Redshift was launched as a fully managed cloud data warehouse that can handle petabyte-scale data. While it was not the first cloud data warehouse, it became the first to proliferate in the market share after a large-scale adoption. Redshift uses SQL dialect based on PostgreSQL, which is well-known by many analysts globally, and its...
Source: geekflare.com
Top 5 Cloud Data Warehouses in 2023
Jan 11, 2023 The 5 best cloud data warehouse solutions in 2023Google BigQuerySource: https://cloud.google.com/bigqueryBest for:Top features:Pros:Cons:Pricing:SnowflakeBest for:Top features:Pros:Cons:Pricing:Amazon RedshiftSource: https://aws.amazon.com/redshift/Best for:Top features:Pros:Cons:Pricing:FireboltSource: https://www.firebolt.io/Best for:Top...
Source: www.shipyardapp.com
Top 5 BigQuery Alternatives: A Challenge of Complexity
As the most proven tool in this category, Amazon Redshift is a fully managed cloud-based data warehouse used to collect and store data. Like BigQuery, Redshift seamlessly integrates with multiple products and ETL services.
Source: blog.panoply.io

Social recommendations and mentions

Based on our record, Amazon Redshift seems to be a lot more popular than Sigma Computing. While we know about 29 links to Amazon Redshift, we've tracked only 1 mention of Sigma Computing. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Sigma Computing mentions (1)

  • Ask HN: Who is hiring? (March 2023)
    Sigma Computing | Senior Software Engineers (Frontend,Fullstack,Backend)& Many More| SF & NYC https://sigmacomputing.com Sigma Computing is a BI Tool that allows all users in an organization to explore the data from your warehouse. This is an oversimplification, looking at the website will provide a better view. We have a strong engineering culture and we've been rapidly expanding in the last year. We are hiring... - Source: Hacker News / over 2 years ago

Amazon Redshift mentions (29)

  • How to Pitch Your Boss to Adopt Apache Iceberg?
    If your team is managing large volumes of historical data using platforms like Snowflake, Amazon Redshift, or Google BigQuery, you’ve probably noticed a shift happening in the data engineering world. A new generation of data infrastructure is forming — one that prioritizes openness, interoperability, and cost-efficiency. At the center of that shift is Apache Iceberg. - Source: dev.to / 6 months ago
  • Everyone Uses Postgres… But Why?
    Postgres can be easily adapted to build highly tailored solutions. For instance, Amazon Redshift can be considered a highly scalable fork of Postgres. It’s a distributed database focusing on OLAP workloads that you can deploy in AWS. - Source: dev.to / 11 months ago
  • From ETL and ELT to Reverse ETL
    With the transition from ETL to ELT, data warehouses have ascended to the role of data custodians, centralizing customer data collected from fragmented systems. This pivotal shift has been enabled by a suite of powerful tools: Fivetran and Airbyte streamline the extraction and loading, DBT handles the transformation, and robust warehousing solutions like Snowflake and Redshift store the data. While traditionally... - Source: dev.to / about 1 year ago
  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    They differ from conventional analytic databases like Snowflake, Redshift, BigQuery, and Oracle in several ways. Conventional databases are batch-oriented, loading data in defined windows like hourly, daily, weekly, and so on. While loading data, conventional databases lock the tables, making the newly loaded data unavailable until the batch load is fully completed. Streaming databases continuously receive new... - Source: dev.to / over 1 year ago
  • Choosing the Right AWS Database: A Guide for Modern Applications
    Data warehousing is the process of storing and analyzing large volumes of data for business intelligence and analytics purposes. AWS offers a fully managed data warehousing service called Amazon Redshift that can handle petabyte-scale data warehouses with ease. - Source: dev.to / almost 2 years ago
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What are some alternatives?

When comparing Sigma Computing and Amazon Redshift, you can also consider the following products

MPP BI - MPP BI is a web-based business intelligence platform that aims to ease the process of implementing data analytics.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Deep-Talk.ai - Deep Talk is the easiest way to turn customer and employee feedback into analytics and actionable data.

Microsoft SQL Server - Microsoft Azure is an open, flexible, enterprise-grade cloud computing platform. Move faster, do more, and save money with IaaS + PaaS. Try for FREE.

Zap Data Hub - Zap Data Hub is a data management program to collect and access business data into a secure hub for analysis with leading business intelligence tools.

Snowflake - Snowflake is the only data platform built for the cloud for all your data & all your users. Learn more about our purpose-built SQL cloud data warehouse.

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