We performed a comparison between Microsoft Azure Synapse Analytics and VMware Tanzu Data Services based on real PeerSpot user reviews.
Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Synapse Analytics' best feature is its ability to process large files."
"The solution can scale."
"The product is easy to use, and anybody can easily migrate to advanced DB."
"We have found that it is easy to develop and to do the analytics in the modules of data."
"What I found most valuable in Microsoft Azure Synapse Analytics is that it's native only for Azure, so you get better performance and there's no issue. To explain further, many different types of data come, in particular, structured and unstructured data. For audit purposes, there's also unstructured data, so the most important aspect is that with Microsoft Azure Synapse Analytics, you have the capability of using both technologies, meaning that you can use or mix structured and unstructured data which is important. This can also be done in Hadoop, and on other platforms, so you have everything in one place. You don't have to worry about how to manage both structured and unstructured data and where to store information. With Microsoft Azure Synapse Analytics, you can take care of everything, particularly in Azure. The solution also provides you with many features apart from analytics, for example, storage which makes it better."
"The features most valuable are the simplicity, how easy it is to create a dashboard from different information systems."
"They are available on the Cloud, and the platform is very intuitive."
"The solution's best feature is its predictive analytics."
"The loading speed is very good."
"The message routing is the most valuable feature. It is effective and flexible."
"It is easy to use. The addition of more queues and more services can be managed very easily."
"The product's feature of data transaction works fast."
"With VMware Tanzu Greenplum, one can make a huge database table and analyze the queries by adding in the SQL command. Some hint or command for the query goes over the multi-parallel execution."
"Companies can scale the solution, so long as they have server room."
"Pivotal Greenplum's shared-nothing architecture."
"The parallel load features mean that Greenplum is capable of high-volume data loading in parallel to all of the cluster segments, which is really valuable."
"I am pretty sure that there are areas that need improvement but I just can think of them off the top of my head."
"This is a young product in transition to the cloud and it needs more work before it is both settled as a product and competitive in the market."
"Synapse Analytics is generally stable, but its performance can be slow when performing very large datasets."
"Synapse Analytics needs to develop an automation framework because now you have to build a cache yourself. You have to build a pipeline in WhereScape, which does end-to-end pipeline automation well. Microsoft should come up with a framework to save people time. If they developed a tool like WhereScape, it would dramatically reduce development time."
"One area for improvement could be better integration with Power BI, as well as data integration with BW."
"Could have more connectors and better integration for Hadoop."
"If I'm looking for something good in the cloud, I would want it to have better standard connectors."
"The major challenge that we're seeing with Azure Synapse is around security concerns. The way it is working right now, it has Managed VNet by Microsoft option, similar to the implementation of Azure Databricks, which may pose a concern for financial institutions. For managed environments, the banks have very strict policies around data being onboarded to those environments. For some confidential applications, the banks have the policy to encrypt it with their own key, so it is sort of like Bring Your Own Key, but it is not possible to manage the resources with Microsoft or Databricks, which is probably the major challenge with Azure Synapse. There should be more compatibility with SQL Server. It should be easier to migrate solutions between different environments because right now, it is not really competitive. It is not like you can go and install SQL Database in some other environment. You will have to go through some migration projects, which probably is one of the major showstoppers for any bank. When they consider Synapse, they not only consider the investment in the actual service; they also consider the cost of the migration process. When you scale out or scale down your system, it becomes unavailable for a few minutes. Because it is a data warehouse environment, it is not such a huge deal, but it would be great if they can improve it so that the platform is available during the change of configuration."
"The support feature could benefit from some improvement in terms of accessibility and responsiveness."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
"I was struggling with installing a few things. It would be good if was somewhat similar to RedHat. There should be more documentation regarding installation troubleshooting."
"This solution struggled with multi-regional synchronization."
"It doesn't have any GUI-based monitoring tools."
"VMware RabbitMQ needs to create a new queue system."
"VMware RabbitMQ's configuration process could be easier to understand."
"The installation is difficult and should be made easier."
More Microsoft Azure Synapse Analytics Pricing and Cost Advice →
Microsoft Azure Synapse Analytics is ranked 2nd in Cloud Data Warehouse with 86 reviews while VMware Tanzu Data Services is ranked 5th in Data Warehouse with 81 reviews. Microsoft Azure Synapse Analytics is rated 7.8, while VMware Tanzu Data Services is rated 8.0. The top reviewer of Microsoft Azure Synapse Analytics writes "No competitors provide the entire solution to one place ". On the other hand, the top reviewer of VMware Tanzu Data Services writes "Reliable queueing functionality and versatile tool that can be used with any programming languages ". Microsoft Azure Synapse Analytics is most compared with Azure Data Factory, SAP BW4HANA, Snowflake, Oracle Autonomous Data Warehouse and Teradata, whereas VMware Tanzu Data Services is most compared with IBM MQ, Anypoint MQ, Apache Kafka, Red Hat AMQ and ActiveMQ. See our Microsoft Azure Synapse Analytics vs. VMware Tanzu Data Services report.
See our list of best Data Warehouse vendors and best Cloud Data Warehouse vendors.
We monitor all 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.
