Apr 19, 2020
I haven't used SQream personally. However, if you are only considering GPU based rdbms's please check the following
https://hackernoon.com/which-gpu-database-is-right-for-me-6ceef6a17505
OpenText Analytics Database (Vertica) and Apache Hadoop are prominent competitors in the big data analytics domain. Vertica seems to hold an advantage in analytics with its high-speed complex query capabilities, while Hadoop stands out for managing extensive data sets economically.
Features: Vertica offers rapid data loading, high scalability, and advanced data compression. Its robust OLAP support and SQL compatibility, along with clustering and fully parallel processing, are designed for heavy analytical workloads. Apache Hadoop’s strengths include its HDFS for handling diverse data types, open-source flexibility, and a community-driven support system, making it cost-effective for vast data storage.
Room for Improvement: Vertica could enhance workload management, provide better documentation, and improve SQL optimizations. Its management tools and compatibility with various data systems need refinement. Apache Hadoop should enhance query handling under memory constraints, improve data redundancy efficiency, and simplify administration. Better integration with visualization tools could broaden its applicability and improve user experience.
Ease of Deployment and Customer Service: Vertica supports diverse deployment options, including private, hybrid, and public cloud, but faces inconsistent customer service feedback. Apache Hadoop offers flexible deployment in cloud and on-premises environments, retaining strengths in large-scale data processing, but similarly experiences mixed support reviews.
Pricing and ROI: Vertica's pricing model is based on data size, offering competitive costs with high ROI in analytics operations. While appearing costly, it’s justified by its capabilities. Apache Hadoop’s open-source nature provides a no-cost core offering, though integration with enterprise solutions like Cloudera introduces expenses, necessitating consideration of additional licensing for comprehensive setups.
It's not structured support, which is why we don't use purely open-source projects without additional structured support.
It is a distributed file system and scales reasonably well as long as it is given sufficient resources.
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.
Hadoop is a distributed file system, and it scales reasonably well provided you give it sufficient resources.
I assess Apache Hadoop's fault tolerance during hardware failures positively since we have hardware failover, which works without problems.
| Product | Market Share (%) |
|---|---|
| Apache Hadoop | 3.8% |
| OpenText Analytics Database (Vertica) | 6.0% |
| Other | 90.2% |
| Company Size | Count |
|---|---|
| Small Business | 14 |
| Midsize Enterprise | 8 |
| Large Enterprise | 21 |
| Company Size | Count |
|---|---|
| Small Business | 29 |
| Midsize Enterprise | 23 |
| Large Enterprise | 38 |
OpenText Analytics Database Vertica is known for its fast data loading and efficient query processing, providing scalability and user-friendliness with a low cost per TB. It supports large data volumes with OLAP, clustering, and parallel ingestion capabilities.
OpenText Analytics Database Vertica is designed to handle substantial data volumes with a focus on speed and efficient storage through its columnar architecture. It offers advanced performance features like workload isolation and compression, ensuring flexibility and high availability. The database is optimized for scalable data management, supporting data scientists and analysts with real-time reporting and analytics. Its architecture is built to facilitate hybrid deployments on-premises or within cloud environments, integrating seamlessly with business intelligence tools like Tableau. However, challenges such as improved transactional capabilities, optimized delete processes, and better real-time loading need addressing.
What features define OpenText Analytics Database Vertica?OpenText Analytics Database Vertica's implementation spans industries such as finance, healthcare, and telecommunications. It serves as a central data warehouse offering scalable management, high-speed processing, and geospatial functions. Companies benefit from its capacity to integrate machine learning and operational reporting, enhancing analytical capabilities.
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