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Azure Synapse vs Sigma Computing

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Azure Synapse
100
227
+ 1
10
Sigma Computing
20
27
+ 1
0
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Sigma Computing vs Azure Synapse: What are the differences?

What is Sigma Computing? No-code business intelligence and analytics solution. It is modern analytics built for the cloud. Trusted by data-first companies, it provides live access to cloud data warehouses using an intuitive spreadsheet interface that empowers business experts to ask more questions without writing a single line of code. With the full power of SQL, the cloud, and a familiar interface, business users have the freedom to analyze data in real time without limits.

What is Azure Synapse? Analytics service that brings together enterprise data warehousing and Big Data analytics. It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

Sigma Computing belongs to "Business Intelligence" category of the tech stack, while Azure Synapse can be primarily classified under "Big Data Tools".

Some of the features offered by Sigma Computing are:

  • Ad Hoc Reports
  • Benchmarking
  • Dashboard

On the other hand, Azure Synapse provides the following key features:

  • Complete T-SQL based analytics – Generally Available
  • Deeply integrated Apache Spark
  • Hybrid data integration
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Pros of Azure Synapse
Pros of Sigma Computing
  • 4
    ETL
  • 3
    Security
  • 2
    Serverless
  • 1
    Doesn't support cross database query
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    Cons of Azure Synapse
    Cons of Sigma Computing
    • 1
      Dictionary Size Limitation - CCI
    • 1
      Concurrency
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      What is Azure Synapse?

      It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

      What is Sigma Computing?

      It is modern analytics built for the cloud. Trusted by data-first companies, it provides live access to cloud data warehouses using an intuitive spreadsheet interface that empowers business experts to ask more questions without writing a single line of code. With the full power of SQL, the cloud, and a familiar interface, business users have the freedom to analyze data in real time without limits.

      Need advice about which tool to choose?Ask the StackShare community!

      Jobs that mention Azure Synapse and Sigma Computing as a desired skillset
      Machine Learning Engineering Manager - II, Notification Delivery
      Pinterest
      San Francisco, CA, US; Palo Alto, CA, US
      View Job Details
      guidanceOmniDream+3
      What companies use Azure Synapse?
      What companies use Sigma Computing?
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      What tools integrate with Azure Synapse?
      What tools integrate with Sigma Computing?

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      What are some alternatives to Azure Synapse and Sigma Computing?
      MySQL
      The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
      PostgreSQL
      PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
      MongoDB
      MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
      Redis
      Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
      Amazon S3
      Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
      See all alternatives

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