Likelihood to Recommend It's well suited for large, fastly growing, and frequently changing data warehouses (e.g., in startups). It's also suited for companies that want a single, relatively easy-to-use, centralized cloud service for all their data needs. Larger, more structured organizations could still benefit from this service by using Synapse Dedicated SQL Pools, knowing that costs will be much higher than other solutions. I think this product is not suited for smaller, simpler workloads (where an
Azure SQL Database and a Data Factory could be enough) or very large scenarios, where it may be better to build custom infrastructure.
Read full review Cloudera excels at seamless migrations and upgrades. Cloudera supports self-healing and data center replacement of failed cloud instances while maintaining the state. Cloudera is essential to increase or decrease capacity through the user interface or API. Cloudera is great at simplifying big data analytics by providing the technology and tools needed to gain insights from IoT and connected devices to help monitor and condition our assets. Cloudera's cybersecurity platform option offers stronger anomaly detection, visibility, and prevention, as well as faster behavioral analysis. Cloudera is beneficial for enabling and utilizing the platform's machine learning and ad-hoc queries while securely storing, retrieving, and analyzing any volume of data at scale.
Read full review Pros Create data pipelines to connect with multiple data workspace(s) and external data Ability to connect with Azure Data Lake (sequentially) for data warehousing Being able to manage connections and create integration runtimes (for onPrem data capture) Read full review Excellent management capabilities via Cloudera Manager. Open source and does not restrict our data to be bound by a proprietary format. Offers excellent support for data governance and auditing. Has all the components that would help us build a data hub. Excellent platform support offered by Cloudera. Read full review Cons It takes some time to setup a proper SQL Datawarehouse architecture. Without proper SSIS/automation scripts, this can be a very daunting task. It takes a lot of foresight when designing a Data Warehouse. If not properly designed, it can be very troublesome to use and/or modify later on. It takes a lot of effort to maintain. Businesses are continually changing. With that, a full time staff member or more will be required to maintain the SQL Data Warehouse. Read full review Not fully Open Source, couple of components of the distributions are privately owned, meaning with public contributions are not welcome Improvements to Cloudera manager can only be recommended. its very hard to get it done once recommended as the full control is with them. Should make components more aligned to Open Source rather than making it closed sourced. Custom Features of open source software tools supported only by Cloudera are tricky. Cant commit changes to tools like Hue. Improvements to Cluster Management tool is required, which are already available to its competitors. Read full review Likelihood to Renew Likely to renew the use in case the requirements for Cloudera remain valid. The rapid change in customer requirements and solutions that must be validated, integrated or tested changes. As the maturity of the solution increases, the requirements to renew use decrease. From a solution feature perspective by itself would probably grade 10.
Read full review Usability The data warehouse portion is very much like old style on-prem SQL server, so most SQL skills one has mastered carry over easily. Azure Data Factory has an easy drag and drop system which allows quick building of pipelines with minimal coding. The Spark portion is the only really complex portion, but if there's an in-house python expert, then the Spark portion is also quiet useable.
Read full review Support Rating Microsoft does its best to support Synapse. More and more articles are being added to the documentation, providing more useful information on best utilizing its features. The examples provided work well for basic knowledge, but more complex examples should be added to further assist in discovering the vast abilities that the system has.
Read full review Alternatives Considered When client is already having or using Azure then it’s wise to go with Synapse rather than using
Snowflake . We got a lot of help from Microsoft consultants and Microsoft partners while implementing our EDW via Synapse and support is easily available via Microsoft resources and blogs. I don’t see that with
Snowflake Read full review Cloudera is compatible with Windows operating systems, and Mac allows cloud-based deployment, it is also very useful to configure data encryption, guarantee protocols, and security policies. It also provides integrated auditing and monitoring capabilities, as well as a control comprehensive data repository for the enterprise, and ensures vendor compatibility through its open-source architecture.
Read full review Contract Terms and Pricing Model Basically, the billing is predictable, and this all about it.
Read full review Return on Investment We have had an improvement in our overall processing time Cost was much lower than most of its competitors Our reporting needs have grown and housing the data here has been great Read full review Cloudera products are the most widely. It is more business friendly as data is more secure. The sensitive data that you operate on is local to you and your project rather than processing this data on Cloud. Cloudera is definitely faster as wait time is reduced if on Cloud. A lot range of products are covered. So it is definitely good for businesses and had good returns on investments. Read full review ScreenShots