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.
I saved a lot of money because the storage was on a cheaper alternative and was not directly on OpenText Analytics Database (Vertica), but on S3.
The time we used to take with our earlier databases has reduced to one-tenth of what was there earlier, which is a positive outcome that can be converted to financial metrics in terms of return on investment.
It's not structured support, which is why we don't use purely open-source projects without additional structured support.
Throughout this process, customer support was outstanding, and we had a person actively supporting us from the OpenText Analytics Database (Vertica) team for our use case.
Overall, our experience with OpenText Analytics Database (Vertica) customer support has been good and reliable.
It is a distributed file system and scales reasonably well as long as it is given sufficient resources.
We have experienced easy horizontal scaling, consistent query performance as data grew, and the ability to handle large analytic workloads.
OpenText Analytics Database (Vertica) has very good scalability.
OpenText Analytics Database (Vertica) can scale to a great extent.
Continuous management in the way of upgrades and technical management is necessary to ensure that it remains effective.
OpenText Analytics Database (Vertica) is very stable.
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.
Smarter automatic projection management is needed with more intelligence, auto projection creation, automatic optimization, and reduced manual testing with better workload management.
Projections could be made more dynamic, and if they could find a faster way to update, insert, and delete data, that would also be helpful.
OpenText Analytics Database (Vertica) does not have a cloud-based UI that Snowflake has, which features a very good comprehensive GUI for querying and analyzing data.
The pricing for OpenText Analytics Database (Vertica) is somewhat on the higher side for the license.
If you don't do the upgrades, the platform ages out, and that's what happened to the Hadoop content.
I assess Apache Hadoop's fault tolerance during hardware failures positively since we have hardware failover, which works without problems.
I can use it in Eon Mode in which I can store the data in cheaper storage such as Amazon S3 and have different compute nodes.
Projection and columnar storage are the most valuable features because they dramatically improve query performance and reduce the need for index management.
The best features that OpenText Analytics Database (Vertica) offers are mainly the parallel processing, ETL capabilities, and the multi-cloud features which are very handy to use.
| Product | Mindshare (%) |
|---|---|
| OpenText Analytics Database (Vertica) | 5.0% |
| Apache Hadoop | 3.7% |
| Other | 91.3% |
| Company Size | Count |
|---|---|
| Small Business | 14 |
| Midsize Enterprise | 8 |
| Large Enterprise | 21 |
| Company Size | Count |
|---|---|
| Small Business | 29 |
| Midsize Enterprise | 23 |
| Large Enterprise | 42 |
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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