Find out what your peers are saying about Cloudera, Apache, Amazon Web Services (AWS) and others in Hadoop.
We get all call support, screen sharing support, and immediate support, so there are no problems.
They help with billing, cost determination, IAM properties, security compliance, and deployment and migration activities.
Communication with the vendor is challenging
Scalability can be provisioned using the auto-scaling feature, EC2 instances, on-demand instances, and storage locations like block storage, S3, or file storage.
Pentaho Data Integration handles larger datasets better.
Regular updates, patch installations, monitoring, logging, alerting, and disaster recovery activities are crucial for maintaining stability.
It's pretty stable, however, it struggles when dealing with smaller amounts of data.
The cost factor differs significantly. When you run Spark application on EKS, you run at the pod level, so you can control the compute cost. But in Amazon EMR, when you have to run one application, you have to launch the entire EC2.
There is room for improvement with respect to retries, handling the volume of data on S3 buckets, cluster provisioning, scaling, termination, security, and integration between services like S3, Glue, Lake Formation, and DynamoDB.
Pentaho Data Integration is very friendly, it is not very useful when there isn't a lot of data to handle.
Cost optimization can be achieved through instance usage, cluster sharing, and auto-scaling.
Amazon EMR helps in scalability, real-time and batch processing of data, handling efficient data sources, and managing data lakes, data stores, and data marts on file systems and in S3 buckets.
Amazon EMR provides out-of-the-box solutions with Spark and Hive.
It's easy to use and friendly, especially for larger data sets.
| Product | Market Share (%) |
|---|---|
| Amazon EMR | 13.1% |
| Cloudera Distribution for Hadoop | 19.1% |
| Apache Spark | 17.1% |
| Other | 50.699999999999996% |
| Product | Market Share (%) |
|---|---|
| Pentaho Data Integration and Analytics | 1.6% |
| Informatica PowerCenter | 5.3% |
| SSIS | 5.1% |
| Other | 88.0% |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 5 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 17 |
| Midsize Enterprise | 16 |
| Large Enterprise | 25 |
Pentaho Data Integration stands as a versatile platform designed to cater to the data integration and analytics needs of organizations, regardless of their size. This powerful solution is the go-to choice for businesses seeking to seamlessly integrate data from diverse sources, including databases, files, and applications. Pentaho Data Integration facilitates the essential tasks of cleaning and transforming data, ensuring it's primed for meaningful analysis. With a wide array of tools for data mining, machine learning, and statistical analysis, Pentaho Data Integration empowers organizations to glean valuable insights from their data. What sets Pentaho Data Integration apart is its maturity and a vibrant community of users and developers, making it a reliable and cost-effective option. Pentaho Data Integration offers a range of features, including a comprehensive ETL toolkit, data cleaning and transformation capabilities, robust data analysis tools, and seamless deployment options for data integration and analytics solutions, making it a go-to solution for organizations seeking to harness the power of their data.
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