We performed a comparison between Apache Hadoop and Microsoft Azure Synapse Analytics based on our users’ reviews in four categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Synapse has a slight edge in this comparison. According to its users, it is more user-friendly and less expensive than Hadoop.
"It's good for storing historical data and handling analytics on a huge amount of data."
"The most valuable features are the ability to process the machine data at a high speed, and to add structure to our data so that we can generate relevant analytics."
"The most important feature is its ability to handle large volumes. Some of our customers have really large volumes, and it is capable of handling their data in terms of the core volume and daily incremental volume. So, its processing power and speed are most valuable."
"High throughput and low latency. We start with data mashing on Hive and finally use this for KPI visualization."
"The performance is pretty good."
"Data ingestion: It has rapid speed, if Apache Accumulo is used."
"It's open-source, so it's very cost-effective."
"The scalability of Apache Hadoop is very good."
"The most valuable features are the flexibility and that it's easy to use as an end-user compared to AWS."
"The initial setup was really easy and straightforward."
"The most important feature for me is the integration with PolyBase."
"One of the most valuable features of this solution is its ability to integrate well with other services offered by Azure."
"Synapse Analytics' best features are notebooks, pipelines, and monitoring."
"The solution offers strong scalability opportunities."
"The most valuable features of Microsoft Azure Synapse Analytics are how easy and quick it is to set up the linked services."
"The solution operates like a typical SQL Server environment so there is no alienation in terms of technical knowledge."
"The load optimization capabilities of the product are an area of concern where improvements are required."
"It needs better user interface (UI) functionalities."
"What could be improved in Apache Hadoop is its user-friendliness. It's not that user-friendly, but maybe it's because I'm new to it. Sometimes it feels so tough to use, but it could be because of two aspects: one is my incompetency, for example, I don't know about all the features of Apache Hadoop, or maybe it's because of the limitations of the platform. For example, my team is maintaining the business glossary in Apache Atlas, but if you want to change any settings at the GUI level, an advanced level of coding or programming needs to be done in the back end, so it's not user-friendly."
"The solution could use a better user interface. It needs a more effective GUI in order to create a better user environment."
"Hadoop's security could be better."
"The key shortcoming is its inability to handle queries when there is insufficient memory. This limitation can be bypassed by processing the data in chunks."
"The stability of the solution needs improvement."
"The solution is very expensive."
"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."
"It needs strong support for social media, internet data, and native support for NoSQL."
"I would like to see version control implemented into the data warehouse."
"It's a complicated product."
"We'd like the solution to have more analytics capability."
"Scaling this solution up and down is not quick and easy. This could be improved. The pricing of this solution could also be improved."
"It could be more stable."
"The configuration for things like high-availability could be more user-friendly for non-technical users."
More Microsoft Azure Synapse Analytics Pricing and Cost Advice →
Apache Hadoop is ranked 5th in Data Warehouse with 32 reviews while Microsoft Azure Synapse Analytics is ranked 2nd in Cloud Data Warehouse with 85 reviews. Apache Hadoop is rated 7.8, while Microsoft Azure Synapse Analytics is rated 7.8. The top reviewer of Apache Hadoop writes "A file system for data collection that contains needed information and files". On the other hand, the top reviewer of Microsoft Azure Synapse Analytics writes "No competitors provide the entire solution to one place ". Apache Hadoop is most compared with Azure Data Factory, Oracle Exadata, Snowflake, Teradata and BigQuery, whereas Microsoft Azure Synapse Analytics is most compared with Azure Data Factory, SAP BW4HANA, Snowflake, Oracle Autonomous Data Warehouse and AWS Lake Formation. See our Apache Hadoop vs. Microsoft Azure Synapse Analytics 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.