Most Helpful Review
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
The solution's flexibility is its most valuable feature. It's also easy to scale and has relatively painless pricing.
The most valuable features are that it's easy to set up and easy to connect the many tools that connect to it.
It allows you write complex queries and perform row by row processes.
It allows for the storage of huge amounts of data.
The ability to reload data multiple times at different times.
The most valuable feature for us is horizontal scaling.
Scalability is simple because it's an MPP database. If you need more processing power or you need more storage, you just add a few more nodes in the cluster. It works on common commodity hardware. You can use any type of server. You don't need to have proprietary hardware. It's fairly flexible.
We chose Greenplum because of the architecture in terms of clustering databases and being able to have, or at least utilize the resources that are sitting on a database.
It's one of the fastest databases in the market. It's easy to use. From a maintenance perspective it's a good product. The segmentation, or architecture of the product is different than other databases such as Oracle. So even in 10 years, the data distribution for such segments will not affect other segments. The query performance of the product, for complex queries, is very good. It has good integration with Hadoop.
Very fast for query processing.
The speed of the solution and its portability needs improvement.
Compatibility with other products, for example, Microsoft and Google, is a bit difficult because each one of them wants to be isolated with their solutions.
In the next release, a pivot function would be a big help. It could save a lot of time creating a query or process to handle operations.
Should be made available across zones, like other Multi-AZ solutions.
I saw some limitation with respect to the column store, and removing this would be an improvement.
Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc.
The installation is difficult and should be made easier.
Implementation takes a long time.
One of the disadvantages, not a disadvantage with the product itself, but overall, is the expertise in the marketplace. It's not easy to find a Greenplum administrator in the market, compared to other products such as Oracle.
they need to interact more with customers. They need to explain the features, especially when there are new releases of Greenplum. I know just from information I've found that it has other features, it can be used to for analytics, for integration with Big Data, Hadoop. They need to focus on this part with the customer.
They need to enhance integration with other Big Data products... to integrate with Big Data platforms, and to open a bi-directional connection between Greenplum and Big Data.
It will be very useful if we could communicate with other database types from Greenplum (using a database link).
Pricing and Cost Advice
It's around $200 US dollars. There are some data transfer costs but it's minimal, around $20.
Per hour pricing is helpful to keep the costs of a pilot down, but long-term retention is expensive.
We are using the open-source version of this solution.
Pricing is good compared to other products. It's fine.
It is the best product with best fit for price/performance customer objectives.
out of 8 in Cloud Data Warehouse
Average Words per Review
out of 30 in Data Warehouse
Average Words per Review
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Also Known As
Amazon Redshift is a fast and powerful, fully managed, petabyte-scale data warehouse service in the cloud. Customers can start small for just $0.25 per hour with no commitments or upfront costs and scale to a petabyte or more for $1,000 per terabyte per year, less than a tenth of most other data warehousing solutions.
Traditional data warehouses require significant time and resource to administer, especially for large datasets. In addition, the financial cost associated with building, maintaining, and growing self-managed, on-premise data warehouses is very high. Amazon Redshift not only significantly lowers the cost of a data warehouse, but also makes it easy to analyze large amounts of data very quickly.
Amazon Redshift gives you fast querying capabilities over structured data using familiar SQL-based clients and business intelligence (BI) tools using standard ODBC and JDBC connections. Queries are distributed and parallelized across multiple physical resources. You can easily scale an Amazon Redshift data warehouse up or down with a few clicks in the AWS Management Console or with a single API call. Amazon Redshift automatically patches and backs up your data warehouse, storing the backups for a user-defined retention period. Amazon Redshift uses replication and continuous backups to enhance availability and improve data durability and can automatically recover from component and node failures. In addition, Amazon Redshift supports Amazon Virtual Private Cloud (Amazon VPC), SSL, AES-256 encryption and Hardware Security Modules (HSMs) to protect your data in transit and at rest.
As with all Amazon Web Services, there are no up-front investments required, and you pay only for the resources you use. Amazon Redshift lets you pay as you go. You can even try Amazon Redshift for free.
Advanced analytics meets traditional business intelligence with Pivotal Greenplum, the world’s first fully-featured, multi-cloud, massively parallel processing (MPP) data platform based on the open source Greenplum Database. Pivotal Greenplum provides comprehensive and integrated analytics on multi-structured data. Powered by one of the world’s most advanced cost-based query optimizers, Pivotal Greenplum delivers unmatched analytical query performance on massive volumes of data.
Learn more about Amazon Redshift
Learn more about Pivotal Greenplum
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