"The solution is easy to expand. We haven't seen any issues with it in that sense. We've added 10 servers, and we've added two nodes. We've been expanding since we started using it since we started out so small. Companies that need to scale shouldn't have a problem doing so."
"The most valuable features are powerful tools for ingestion, as data is in multiple systems."
"Hadoop is designed to be scalable, so I don't think that it has limitations in regards to scalability."
"Hadoop is extensible — it's elastic."
"The performance is pretty good."
"We have found that it is easy to develop and to do the analytics in the modules of data."
"Technical support is okay in terms of the help they provide."
"Our primary use case is for gathering data and analytics. We provide insights into vehicle data. We gather millions of records per second and we have various millions of vehicles running across."
"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."
"The stability is pretty good."
"The most valuable feature is performance gains."
"The integrated workspace in Microsoft Azure Synapse Analytics where everything comes together, such as Power BI and Data Factory, is very good. Additionally, the ability to do dedicated SQL pooling is a benefit."
"We use Azure Synapse Analytics in many different areas and industries, so I like that you can administrate and create pipelines for difference sources of data and later integrate and deploy it to other internal areas, such as separate dashboards for financials, and so on."
"From the Apache perspective or the open-source community, they need to add more capabilities to make life easier from a configuration and deployment perspective."
"The solution needs a better tutorial. There are only documents available currently. There's a lot of YouTube videos available. However, in terms of learning, we didn't have great success trying to learn that way. There needs to be better self-paced learning."
"Hadoop's security could be better."
"It would be helpful to have more information on how to best apply this solution to smaller organizations, with less data, and grow the data lake."
"The solution is very expensive."
"The need to improve a little bit in terms of user-friendliness."
"Indicating what areas need improvement in this solution is a difficult question because the organizations that I am working for are really new in this area. However, an even better more simple interface, or perhaps an extension of a connector app store solution, would be helpful."
"It would be beneficial to take the top vendors and identify some kind of straightforward action to work with them. Instead of having to employ a separate vendor tool to be able to move this, it would be nice to be able to go through Microsoft."
"The initial setup is complex."
"Comes with a pretty steep learning curve."
"The product could be more feature-rich."
"Could have more connectors and better integration for Hadoop."
"This solution needs to have query caching so that if the same query is run and the results are available, it will return the data from the cache without having to re-run the query."
More Microsoft Azure Synapse Analytics Pricing and Cost Advice →
Apache Hadoop is ranked 7th in Data Warehouse with 5 reviews while Microsoft Azure Synapse Analytics is ranked 2nd in Cloud Data Warehouse with 33 reviews. Apache Hadoop is rated 7.6, while Microsoft Azure Synapse Analytics is rated 8.0. The top reviewer of Apache Hadoop writes "Great micro-partitions, helpful technical support and quite stable". On the other hand, the top reviewer of Microsoft Azure Synapse Analytics writes "Scalable, intuitive, facilitates compliance and keeping your data secure". Apache Hadoop is most compared with Snowflake, VMware Tanzu Greenplum, Oracle Exadata, Teradata and Vertica, whereas Microsoft Azure Synapse Analytics is most compared with Snowflake, Amazon Redshift, SAP BW4HANA, Oracle Autonomous Data Warehouse and AWS Lake Formation.
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.
