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Azure Synapse Analytics VS Striim

Compare Azure Synapse Analytics VS Striim and see what are their differences

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Azure Synapse Analytics logo Azure Synapse Analytics

Get started with Azure SQL Data Warehouse for an enterprise-class SQL Server experience. Cloud data warehouses offer flexibility, scalability, and big data insights.

Striim logo Striim

Striim provides an end-to-end, real-time data integration and streaming analytics platform.
  • Azure Synapse Analytics Landing page
    Landing page //
    2023-03-23
  • Striim Landing page
    Landing page //
    2023-10-20

Azure Synapse Analytics videos

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Azure Synapse Analytics - Next-gen Azure SQL Data Warehouse

More videos:

  • Review - Is Azure SQL Data Warehouse the Right SQL Platform for You?

Striim videos

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Striim On Premise to Azure Integration Step 1

More videos:

  • Review - Tech review: AwoX Striim LED Light Bulb
  • Review - Striim On Premise to Azure Integration Step 2

Category Popularity

0-100% (relative to Azure Synapse Analytics and Striim)

Azure Synapse Analytics

Striim

Office & Productivity
100 100%
Office & Productivity
0% 0
Development
47 47%
Development
53% 53
Backup & Sync
0 0%
Backup & Sync
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0

User comments

Share your experience with using Azure Synapse Analytics and Striim. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Azure Synapse Analytics and Striim

Azure Synapse Analytics Reviews

Top 6 Cloud Data Warehouses in 2023
Azure Synapse analytics is scalable for large data tables based on its distributed computing. It relies on the MPP (mentioned in the beginning, revisit if you did not grasp it) to quickly run high volumes of complex queries across multiple nodes. With Synapse, there’s an extra emphasis on security and privacy.
Source: geekflare.com
Top 5 BigQuery Alternatives: A Challenge of Complexity
Azure SQL Data Warehouse, now subsumed by Azure Synapse Analytics, brings together the worlds of big data analytics and enterprise data warehousing. Over the years, Azure has made a name for enabling the seamless transfer of data between on-premise and cloud ecosystems.
Source: blog.panoply.io

Striim Reviews

Top 14 ETL Tools for 2023
Striim offers a real-time data integration platform for big data workloads. Users can integrate a wide variety of data sources and targets — including Oracle, SQL Server, MySQL, PostgreSQL, MongoDB, and Hadoop — in various file formats. Striim is compliant with data privacy regulations such as GDPR and HIPAA, and users can define pre-load transformations using SQL or Java.
Source: www.integrate.io
Top 7 ETL Tools for 2021
Striim offers a real-time data integration platform for big data workloads. Users can integrate a wide variety of data sources and targets in roughly 20 different file formats, including Oracle, SQL Server, MySQL, PostgreSQL, MongoDB, and Hadoop. Striim is compliant with data privacy regulations such as GDPR and HIPAA, and users can define pre-load transformations using SQL...
Source: www.xplenty.com
The 28 Best Data Integration Tools and Software for 2020
Description: Striim offers a real-time data integration solution that enables continuous query processing and streaming analytics. Striim integrates data from a wide variety of sources, including transaction/change data, events, log files, application and IoT sensor, and real-time correlation across multiple streams. The platform features pre-built data pipelines,...
Source: solutionsreview.com

Social recommendations and mentions

Based on our record, Azure Synapse Analytics seems to be more popular. It has been mentiond 3 times since March 2021. 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.

Azure Synapse Analytics mentions (3)

  • Deploying a Data Warehouse with Pulumi and Amazon Redshift
    A data warehouse is a specialized database that's purpose built for gathering and analyzing data. Unlike general-purpose databases like MySQL or PostgreSQL, which are designed to meet the real-time performance and transactional needs of applications, a data warehouse is designed to collect and process the data produced by those applications, collectively and over time, to help you gain insight from it. Examples of... - Source: dev.to / over 1 year ago
  • [WSJ] Facebook Parent Meta Expected to Post Slowest Revenue Growth Since IPO
    You don't run into these kinds of problems with other tools, like the ones I mentioned. I've never tried the Azure ones, but my gut says they may have some scaling issues (synapse analytics looks promising but I have no experience with it). Source: about 2 years ago
  • The Difference Between Data Warehouses, Data Lakes, and Data Lakehouses.
    Popular managed cloud data warehouse solutions include Azure Synapse Analytics, Azure SQL Database, and Amazon Redshift. - Source: dev.to / about 2 years ago

Striim mentions (0)

We have not tracked any mentions of Striim yet. Tracking of Striim recommendations started around Mar 2021.

What are some alternatives?

When comparing Azure Synapse Analytics and Striim, you can also consider the following products

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

HVR - Your data. Where you need it. HVR is the leading independent real-time data replication solution that offers efficient data integration for cloud and more.

Databricks Unified Analytics Platform - One platform for accelerating data-driven innovation across data engineering, data science & business analytics

Oracle Data Integrator - Oracle Data Integrator is a data integration platform that covers batch loads, to trickle-feed integration processes.

Apache Zeppelin - A web-based notebook that enables interactive data analytics.

Bryteflow Data Replication and Integration - Bryteflow is a popular platform that offers many services, including data replication and integration.

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