We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"Changing from local servers to the cloud is very easy. It's so nice not to have to worry about physical servers."
"The feature that we find most useful is the ability to do analytics on the fly."
"The most valuable feature is the scalability, as it grows according to our needs."
"It is quite simple to use and there are no issues with creating the tables."
"The processing of data is very fast."
"Has a very user-friendly SQL editor and it's very easy to use the connectors."
"This service can merge and integrate well with all databases."
"I find the most valuable features to be the MPP style of processing, which mostly all of the data warehouses provide. The ability to integrate all other AWS services, such as NSS and S3, with little effort is very helpful. The service is well maintained, there are update patches frequently."
"Pivotal Greenplum's shared-nothing architecture."
"The parallel load features mean that Greenplum is capable of high-volume data loading in parallel to all of the cluster segments, which is really valuable."
"It's super easy to deploy and it also supports different languages and analytics."
"It would be useful to have an option where all of the data can be queried at once and then have the result shown."
"In our experiments, the handling of unstructured data was not very smooth."
"Amazon should provide more cloud-native tools that can integrate with Redshift like Microsoft's development tools for Azure."
"Improvement could be made in the area of streaming data."
"There are too many limitations with respect to concurrency."
"It takes a lot of time to ingest and update the data."
"Pricing is one of the things that it could improve. It should be more competitive."
"Planting is the primary key enforcement that should be improved."
"They should add more analytics. Their documentation could also be improved so that I don't have to bother my co-workers and tech support so often."
"The initial setup is somewhat complex and the out-of-the-box configuration requires optimization."
"Initial setup is a little complex. It took around two weeks to deploy."
"At the moment, pricing is a little bit on the higher side, although it depends on the size of the company."
"My customers have implementations that cost about $500 a month for a very small one. I also have a customer with a monthly invoice of about $25,000 USD."
"The price of the solution is reasonable. According to the RA3 cluster particularly, it provides 128 GB of storage with only four nodes. If you can manage your computations processes with the help of materialized views and proper queries. I think the IP clusters are very useful and overall fair for the price."
"The part that I like best is that you only pay for what you are using."
Earn 20 points
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.
Parallel Postgres for enterprise analytics at scale
With improved transaction processing capability and support for streaming ingest, Greenplum can address workloads across a spectrum of analytic and operational contexts, from traditional business intelligence to deep learning.
Amazon Redshift is ranked 4th in Cloud Data Warehouse with 12 reviews while VMware Tanzu Greenplum is ranked 10th in Data Warehouse with 3 reviews. Amazon Redshift is rated 7.6, while VMware Tanzu Greenplum is rated 8.4. The top reviewer of Amazon Redshift writes "Scales according to our needs, which saves a lot in terms of upfront costs". On the other hand, the top reviewer of VMware Tanzu Greenplum writes "Powerful external data integration and parallel load capabilities, with good technical support". Amazon Redshift is most compared with Snowflake, Microsoft Azure Synapse Analytics, Oracle Exadata, Teradata and Teradata Cloud Data Warehouse, whereas VMware Tanzu Greenplum is most compared with Snowflake, Apache Hadoop, Oracle Exadata, Oracle Database Appliance and Teradata.
We monitor all Cloud 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.