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Azure Synapse

Analytics service that brings together enterprise data warehousing and Big Data analytics
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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.
Azure Synapse is a tool in the Big Data Tools category of a tech stack.

Who uses Azure Synapse?

Companies
10 companies reportedly use Azure Synapse in their tech stacks, including internet-of-things, DevRain, and Driverama.

Developers
80 developers on StackShare have stated that they use Azure Synapse.

Azure Synapse Integrations

dbt, StreamSets, Hackolade, Row Zero, and Skyvia are some of the popular tools that integrate with Azure Synapse. Here's a list of all 5 tools that integrate with Azure Synapse.
Pros of Azure Synapse
4
ETL
3
Security
2
Serverless
1
Doesn't support cross database query

Azure Synapse's Features

  • Complete T-SQL based analytics – Generally Available
  • Deeply integrated Apache Spark
  • Hybrid data integration
  • Unified user experience

Azure Synapse Alternatives & Comparisons

What are some alternatives to Azure Synapse?
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

Azure Synapse's Followers
223 developers follow Azure Synapse to keep up with related blogs and decisions.