Amazon Redshift and Microsoft Azure Synapse Analytics are leading competitors in the cloud data warehousing category. Microsoft Azure Synapse Analytics appears to have the upper hand due to its advanced analytics capabilities and seamless integration with other Azure services.
Features: Amazon Redshift offers notable scalability, handling petabytes of data with no storage limits and supporting various file formats. It ensures data security through VPC configuration, and its distributed architecture allows parallel processing. Its integration with Python UDF calls for custom functions is a benefit. Microsoft Azure Synapse Analytics excels in integrating seamlessly with Azure services and providing advanced analytics. Its flexible architecture handles both SQL-based operations and big data workloads effectively.
Room for Improvement: Amazon Redshift could enhance real-time integration with AWS products and improve its data import process and snapshot restoring for large datasets. Users also suggest the addition of more SQL functions. Microsoft Azure Synapse Analytics needs improved integration with other databases and better concurrent query performance. Enhancing governance features and Power BI integration are also areas of focus.
Ease of Deployment and Customer Service: Amazon Redshift is typically deployed in the Public Cloud, but also supports hybrid and private environments. AWS customer service is effective, but accessing support can be challenging at times. Microsoft Azure Synapse Analytics offers cloud-based and on-premises deployment options. Its integration with other Azure services is effortless, though its traditional support structure has been critiqued.
Pricing and ROI: Amazon Redshift is cost-effective for large-scale operations but can be expensive for smaller enterprises. It provides flexibility through a pay-as-you-use model, although the pricing structure can be complex. However, it delivers significant ROI for extensive data needs. Microsoft Azure Synapse Analytics operates on a pay-as-you-go model, which users find variable and potentially complex. Nevertheless, its integration with Microsoft services can offer cost savings, with ROI varying based on specific use cases.
It's costly when you enable support.
They are slow to respond and not very knowledgeable.
The scalability part needs improvement as the sizing requires trial and error.
Microsoft Azure Synapse Analytics is scalable, offering numerous opportunities for scalability.
Amazon Redshift is a stable product, and I would rate it nine or ten out of ten for stability.
I find the service stable as I have not encountered many issues.
They should bring the entire ETL data management process into Amazon Redshift.
There is a need for more expertise among the support team to guide us effectively.
The cost of technical support is high.
It's a pretty good price and reasonable for the product quality.
The pricing of Amazon Redshift is expensive.
Amazon Redshift's performance optimization and scalability are quite helpful, providing functionalities such as scaling up and down.
Scalability is also a strong point; I can scale it however I want without any limitations.
Security configurations are implemented across all processes, such as AWS Config and GuardDuty.
Microsoft Azure Synapse Analytics offers significant visibility, which helps us understand our usage more clearly.
Amazon Redshift is a fully administered, petabyte-scale cloud-based data warehouse service. Users are able to begin with a minimal amount of gigabytes of data and can easily scale up to a petabyte or more as needed. This will enable them to utilize their own data to develop new intuitions on how to improve business processes and client relations.
Initially, users start to develop a data warehouse by initiating what is called an Amazon Redshift cluster or a set of nodes. Once the cluster has been provisioned, users can seamlessly upload data sets, and then begin to perform data analysis queries. Amazon Redshift delivers super-fast query performance, regardless of size, utilizing the exact SQL-based tools and BI applications that most users are already working with today.
The Amazon Redshift service performs all of the work of setting up, operating, and scaling a data warehouse. These tasks include provisioning capacity, monitoring and backing up the cluster, and applying patches and upgrades to the Amazon Redshift engine.
Amazon Redshift Functionalities
Amazon Redshift has many valuable key functionalities. Some of its most useful functionalities include:
Reviews from Real Users
“Redshift's versioning and data security are the two most critical features. When migrating into the cloud, it's vital to secure the data. The encryption and security are there.” - Kundan A., Senior Consultant at Dynamic Elements AS
“With the cloud version whenever you want to deploy, you can scale up, and down, and it has a data warehousing capability. Redshift has many features. They have enriched and elaborate documentation that is helpful.”- Aishwarya K., Solution Architect at Capgemini
Microsoft Azure Synapse Analytics is an end-to-end analytics solution that successfully combines analytical services to merge big data analytics and enterprise data warehouses into a single unified platform. The solution can run intelligent distributed queries among nodes, and provides the ability to query both relational and non-relational data.
Microsoft Azure Synapse Analytics is built with these 4 components:
Microsoft Azure Synapse Analytics Features
Microsoft Azure Synapse Analytics has many valuable key features, including:
Microsoft Azure Synapse Analytics Benefits
Some of the benefits of using Microsoft Azure Synapse Analytics include:
Reviews from Real Users
Below are some reviews and helpful feedback written by Microsoft Azure Synapse Analytics users who are currently using the solution.
PeerSpot user Jael S., who is an Information Architect at Systems Analysis & Design Engineering, comments on her experience using the product, saying that it is “Scalable, intuitive, facilitates compliance and keeps your data secure”. She also says "We also like governance. It looks at what the requirements are for the company to identify the best way to ensure compliance is met when you move to the cloud."
Michel T., CHTO at Timp-iT, mentions that "the features most valuable are the simplicity, how easy it is to create a dashboard from different information systems."
A Senior Teradata Consultant at a tech services company says, "Microsoft provides both the platform and the data center, so you don't have to look for a cloud vendor. It saves you from having to deal with two vendors for the same task."
We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.