Amazon Redshift vs VMware Tanzu Data Services comparison

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Amazon Web Services (AWS) Logo
7,544 views|5,537 comparisons
87% willing to recommend
VMware Logo
1,949 views|1,602 comparisons
89% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Amazon Redshift and VMware Tanzu Data Services based on real PeerSpot user reviews.

Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Amazon Redshift vs. VMware Tanzu Data Services Report (Updated: May 2024).
772,679 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The most valuable feature is its scalability.""I like it because the usage is very similar to Microsoft SQL server. The structure of the query and the temporary tables are very similar.""The stability of Amazon Redshift is good.""Redshift COPY command, because much of my work involved helping customers migrate large amounts of data into Redshift.""Redshift is a major service of Amazon and is very scalable. It enables faster recalculations and data management, helping to retrieve data quickly.""The ability to reload data multiple times at different times.""The solution is scalable. It handles different loads very well.""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."

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"The most valuable feature for me is that it is open source. The licensing costs are really low and they are transparent.""The product's reliability is the most valuable feature.""The product's feature of data transaction works fast.""The loading speed is very good.""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.""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.""I like the high throughput of 20K messages/sec, and that it supports multiple protocols.""Pivotal Greenplum's shared-nothing architecture."

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Cons
"If you require a highly scalable solution, I would not recommend Amazon Redshift.""In the solution, user-based access is quite hard. In general, certain permissions are difficult to manage.""There are too many limitations with respect to concurrency.""The OLAP slide and dice features need to be improved.""Sometimes, it's difficult to get the metadata from Redshift.""It would be nice if we could turn off an instance. However, it would retain the instance in history, thus allowing us to restart without beginning from scratch.""The technical support should be better in terms of their knowledge, and they should be more customer-friendly.""When working with third-party services requires additional integrations and configurations, which can sometimes add more cost."

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"When you have complex tasks, RabbitMQ is hard to use.""VMware RabbitMQ's configuration process could be easier to understand.""The user interface could be improved.""It doesn't have any GUI-based monitoring tools.""Lacks sufficient inbuilt machine-learning functions for complex use cases.""Extra filters would be helpful.""I saw some limitation with respect to the column store, and removing this would be an improvement.""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."

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Pricing and Cost Advice
  • "Redshift is very cost effective for a cloud based solution if you need to scale it a lot. For smaller data sizes, I would think about using other products."
  • "If you want a fixed price, an to not worry about every query, but you need to manage your nodes personally, use Redshift."
  • "BI is sold to our customer base as a part of the initial sales bundle. A customer may elect to opt for a white labeled site for an up-charge."
  • "One of my customers went with Google Big Query over Redshift because it was significantly cheaper for their project."
  • "Per hour pricing is helpful to keep the costs of a pilot down, but long-term retention is expensive."
  • "It's around $200 US dollars. There are some data transfer costs but it's minimal, around $20."
  • "The best part about this solution is the cost."
  • "The part that I like best is that you only pay for what you are using."
  • More Amazon Redshift Pricing and Cost Advice →

  • "The pricing is okay."
  • "It is the best product with best fit for price/performance customer objectives."
  • "Pricing is good compared to other products. It's fine."
  • "This is an open source solution."
  • "We are using the open-source version of this solution."
  • "are using the open-source version, which can be used free of cost."
  • "The pricing for RabbitMQ is reasonable. It is worth the cost."
  • "On a scale of one to five, with five being the most competitive pricing, I would rate this solution as a four."
  • More VMware Tanzu Data Services Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Amazon Redshift is very fast, has a very good response time, and is very user-friendly. The initial setup is very straightforward. This solution can merge and integrate well with many different… more »
    Top Answer:The tool's most valuable feature is its parallel processing capability. It can handle massive amounts of data, even when pushing hundreds of terabytes, and its scaling capabilities are good.
    Top Answer:IBM MQ has a great reputation behind it, and this solution is very robust with great stability. It is easy to use, simple to configure and integrates well with our enterprise ecosystem and protocols… more »
    Top Answer:It’s an open-source solution. There are no expenses for using it.
    Ranking
    4th
    Views
    7,544
    Comparisons
    5,537
    Reviews
    24
    Average Words per Review
    504
    Rating
    7.8
    5th
    out of 35 in Data Warehouse
    Views
    1,949
    Comparisons
    1,602
    Reviews
    18
    Average Words per Review
    471
    Rating
    8.1
    Comparisons
    Also Known As
    Greenplum, Pivotal Greenplum, VMware RabbitMQ, VMware Tanzu GemFire, VMware Postgres
    Learn More
    Overview

    What is Amazon Redshift?

    Amazon Redshift is a fully administered, petabyte-scale cloud-based data warehouse service. Users are able to begin with a minimal amount of gigabytes of data and can easily scale up to a petabyte or more as needed. This will enable them to utilize their own data to develop new intuitions on how to improve business processes and client relations.

    Initially, users start to develop a data warehouse by initiating what is called an Amazon Redshift cluster or a set of nodes. Once the cluster has been provisioned, users can seamlessly upload data sets, and then begin to perform data analysis queries. Amazon Redshift delivers super-fast query performance, regardless of size, utilizing the exact SQL-based tools and BI applications that most users are already working with today.

    The Amazon Redshift service performs all of the work of setting up, operating, and scaling a data warehouse. These tasks include provisioning capacity, monitoring and backing up the cluster, and applying patches and upgrades to the Amazon Redshift engine.

    Amazon Redshift Functionalities

    Amazon Redshift has many valuable key functionalities. Some of its most useful functionalities include:

    • Cluster administration: The Amazon Redshift cluster is a group of nodes that contains a leader node and one (or more) compute node(s). The compute nodes needed are dependent on the data size, amount of queries needed, and the query execution functionality desired.
    • Cluster snapshots: Snapshots are backups of a cluster from an exact point in time. Amazon Redshift offers two types of snapshots: manual and automated. Amazon will store these snapshots internally in the Amazon Simple Storage Service (Amazon S3) utilizing an SSL connection. Whenever a Snapshot restore is needed, Amazon Redshift will create a new cluster and will import data from the snapshot as directed. 
    • Cluster access: Amazon Redshift provides several intuitive features to help define connectivity rules, encrypt data and connections, and control the overall access of your cluster.
    • IAM credentials and AWS accounts: The Amazon Redshift cluster is only accessible by the AWS account that created the cluster. This automatically secures the cluster and keeps it safe. Inside the AWS account, users access the AWS Identity and IAM protocol to create additional user accounts and manage permissions, granting specified users the desired access needed to control cluster performance.
    • Encryption: Users have the option to choose to encrypt the clusters for additional added security once the cluster is provisioned. When encryption is enabled, Amazon Redshift will store all the data in user-created tables in a secure encrypted format. To manage Amazon Redshift encryption keys, users will access AWS Key Management Service (AWS KMS).

    Reviews from Real Users

    Redshift's versioning and data security are the two most critical features. When migrating into the cloud, it's vital to secure the data. The encryption and security are there.” - Kundan A., Senior Consultant at Dynamic Elements AS

    “With the cloud version whenever you want to deploy, you can scale up, and down, and it has a data warehousing capability. Redshift has many features. They have enriched and elaborate documentation that is helpful.”- Aishwarya K., Solution Architect at Capgemini

    VMware Tanzu is a robust platform tailored for data warehousing, complex analytics, BI applications, and predictive analytics. It excels in scalability, performance, and parallel processing, enhancing data handling efficiency. Users report significant productivity improvements and streamlined operations, making it ideal for comprehensive data solutions.

    Sample Customers
    Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449
    General Electric, Conversant, China CITIC Bank, Aridhia, Purdue University
    Top Industries
    REVIEWERS
    Computer Software Company34%
    Comms Service Provider14%
    Manufacturing Company10%
    Retailer10%
    VISITORS READING REVIEWS
    Educational Organization51%
    Financial Services Firm9%
    Computer Software Company7%
    Manufacturing Company4%
    REVIEWERS
    Financial Services Firm33%
    Computer Software Company17%
    Retailer10%
    Comms Service Provider10%
    VISITORS READING REVIEWS
    Financial Services Firm28%
    Computer Software Company15%
    Manufacturing Company6%
    Comms Service Provider4%
    Company Size
    REVIEWERS
    Small Business38%
    Midsize Enterprise25%
    Large Enterprise37%
    VISITORS READING REVIEWS
    Small Business10%
    Midsize Enterprise55%
    Large Enterprise35%
    REVIEWERS
    Small Business34%
    Midsize Enterprise12%
    Large Enterprise55%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise13%
    Large Enterprise69%
    Buyer's Guide
    Amazon Redshift vs. VMware Tanzu Data Services
    May 2024
    Find out what your peers are saying about Amazon Redshift vs. VMware Tanzu Data Services and other solutions. Updated: May 2024.
    772,679 professionals have used our research since 2012.

    Amazon Redshift is ranked 4th in Cloud Data Warehouse with 61 reviews while VMware Tanzu Data Services is ranked 5th in Data Warehouse with 81 reviews. Amazon Redshift is rated 7.8, while VMware Tanzu Data Services is rated 8.0. The top reviewer of Amazon Redshift writes "Provides one place where we can store data, and allows us to easily connect to other services with AWS". On the other hand, the top reviewer of VMware Tanzu Data Services writes "Reliable queueing functionality and versatile tool that can be used with any programming languages ". Amazon Redshift is most compared with Teradata, Vertica, Snowflake, Microsoft Azure Synapse Analytics and IBM Netezza Performance Server, whereas VMware Tanzu Data Services is most compared with IBM MQ, Anypoint MQ, Apache Kafka, Red Hat AMQ and ActiveMQ. See our Amazon Redshift vs. VMware Tanzu Data Services report.

    See our list of best Data Warehouse vendors and best Cloud Data Warehouse vendors.

    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.