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

Azure Synapse

90
215
+ 1
10
Fivetran

94
99
+ 1
0
Add tool

Fivetran vs Azure Synapse: What are the differences?

Fivetran: Simple, reliable data integration for analytics teams. It helps you centralize data from disparate sources which you can manage directly from your browser. We extract your data and load it into your data destination; 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.

Fivetran belongs to "Big Data as a Service" category of the tech stack, while Azure Synapse can be primarily classified under "Big Data Tools".

Some of the features offered by Fivetran are:

  • Prebuilt connectors
  • Ready-to-query schemas
  • Automated schema migrations

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
Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
Pros of Azure Synapse
Pros of Fivetran
  • 4
    ETL
  • 3
    Security
  • 2
    Serverless
  • 1
    Doesn't support cross database query
    Be the first to leave a pro

    Sign up to add or upvote prosMake informed product decisions

    Cons of Azure Synapse
    Cons of Fivetran
    • 1
      Dictionary Size Limitation - CCI
    • 1
      Concurrency
      Be the first to leave a con

      Sign up to add or upvote consMake informed product decisions

      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 Fivetran?

      It helps you centralize data from disparate sources which you can manage directly from your browser. We extract your data and load it into your data destination.

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

      Jobs that mention Azure Synapse and Fivetran as a desired skillset
      What companies use Azure Synapse?
      What companies use Fivetran?
      See which teams inside your own company are using Azure Synapse or Fivetran.
      Sign up for StackShare EnterpriseLearn More

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with Azure Synapse?
      What tools integrate with Fivetran?

      Sign up to get full access to all the tool integrationsMake informed product decisions

      What are some alternatives to Azure Synapse and Fivetran?
      Apache Spark
      Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
      Google BigQuery
      Run super-fast, SQL-like queries against terabytes of data in seconds, using the processing power of Google's infrastructure. Load data with ease. Bulk load your data using Google Cloud Storage or stream it in. Easy access. Access BigQuery by using a browser tool, a command-line tool, or by making calls to the BigQuery REST API with client libraries such as Java, PHP or Python.
      Amazon Redshift
      It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
      Tableau
      Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
      Snowflake
      Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.
      See all alternatives