IBM Netezza Performance Server and Apache Hadoop compete in the data management and analytics category. IBM Netezza has the upper hand in structured data processing with its ease of use and impressive performance, while Apache Hadoop excels in scalability and cost-effectiveness for unstructured data.
Features: IBM Netezza Performance Server offers speed and simplicity in data handling, leveraging automated compression and FPGAs for enhanced query performance. It provides seamless concurrency and supports high-speed parallel processing, crucial for structured data. Apache Hadoop stands out with its scalability and adaptability, dealing efficiently with large-scale unstructured data. It utilizes HDFS for diverse data formats, supports massive parallel processing, and offers tools like Spark for enhanced data analytics.
Room for Improvement: IBM Netezza could enhance scalability and real-time integration with big data systems. The cost and limited hardware options are areas for consideration. Apache Hadoop would benefit from improved user experience, clearer documentation, and better tool integration. Optimizing data replication handling to conserve resources could also refine its effectiveness.
Ease of Deployment and Customer Service: IBM Netezza primarily functions as an on-premises solution with some hybrid cloud capabilities, benefiting from IBM's dedicated support. However, post-acquisition assistance has been declining. Apache Hadoop is widely deployed in both public and on-premises environments, though support varies with different distributions, often less reliable compared to IBM's support offerings.
Pricing and ROI: IBM Netezza's pricing reflects its robust performance for structured data, offering significant ROI through rapid processing and compression. Despite its open-source nature making Apache Hadoop more affordable, hidden maintenance and expertise costs exist. Its ROI lies in its flexibility and scalability, efficiently handling vast volumes of varied data.
It's not structured support, which is why we don't use purely open-source projects without additional structured support.
Technical support is very costly for me, accounting for twenty-five to thirty percent of the product cost.
It is a distributed file system and scales reasonably well as long as it is given sufficient resources.
It is provided as a pre-configured box, and scaling is not an option.
Continuous management in the way of upgrades and technical management is necessary to ensure that it remains effective.
The problem with Apache Hadoop arose when the guys that originally set it up left the firm, and the group that later owned it didn't have enough technical resources to properly maintain it.
The cloud version is only available in AWS, and in the Middle East, it is not well-developed in the Azure environment.
Hadoop is a distributed file system, and it scales reasonably well provided you give it sufficient resources.
Apache Hadoop helps us in cases of hardware failure because it works 24/7, and sometimes servers crash in the field.
It operates as a high-speed data warehouse, which is essential for handling big data.
| Product | Market Share (%) |
|---|---|
| Apache Hadoop | 3.5% |
| IBM Netezza Performance Server | 4.2% |
| Other | 92.3% |
| Company Size | Count |
|---|---|
| Small Business | 14 |
| Midsize Enterprise | 8 |
| Large Enterprise | 21 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 5 |
| Large Enterprise | 33 |
IBM Netezza Performance Server offers high performance, scalability, and minimal maintenance. It seamlessly integrates SQL for efficient data processing, making it ideal for enterprise data warehousing needs.
IBM Netezza Performance Server is known for its outstanding data processing capabilities. Its integration of FPGA technology, compression techniques, and partitioning optimizes query execution and scalability. Users appreciate its appliance-like architecture for straightforward deployment, distributed querying, and high availability, significantly boosting operations and analytics capabilities. However, there are areas for improvement, particularly in handling high concurrency, real-time integration, and specific big data functionalities. Enhancements in database management tools, XML integration, and cloud options are commonly desired, along with better marketing and community engagement.
What are the key features of IBM Netezza Performance Server?Industries rely on IBM Netezza Performance Server for robust data warehousing solutions, particularly in sectors requiring intensive data analysis such as finance, retail, and telecommunications. Organizations use it to power business intelligence tools like Business Objects and MicroStrategy for customer analytics, establishing data marts and staging tables to efficiently manage and update enterprise data. With the capacity to handle large volumes of compressed and uncompressed data, it finds numerous applications in on-premises setups, powering data mining and reporting with high reliability and efficiency.
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.
