Amazon Redshift vs. Spotfire

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon Redshift
Score 8.2 out of 10
N/A
Amazon Redshift is a hosted data warehouse solution, from Amazon Web Services.
$0.24
per GB per month
Spotfire
Score 8.6 out of 10
N/A
Spotfire, formerly known as TIBCO Spotfire, is a visual data science platform that combines visual analytics, data science, and data wrangling, so users can analyze data at-rest and at-scale to solve complex industry-specific problems.
$0.99
Per Hour (Starting)
Pricing
Amazon RedshiftSpotfire
Editions & Modules
Redshift Managed Storage
$0.24
per GB per month
Current Generation
$0.25 - $13.04
per hour
Previous Generation
$0.25 - $4.08
per hour
Redshift Spectrum
$5.00
per terabyte of data scanned
Spotfire for Amazon Web Services
$0.99
Per Hour (Starting)
Spotfire Cloud - Consumer
$250/yr
per seat
Spotfire Cloud - Business Author
$650/yr
per seat
Spotfire Cloud - Analyst
$1250/yr
per seat
Spotfire Platform
Please contact Spotfire sales
Spotfire Cloud Enterprise
Please contact Spotfire sales
Offerings
Pricing Offerings
Amazon RedshiftSpotfire
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsFor Enterprise engagements, please contact TIBCO directly for a custom price quote.
More Pricing Information
Community Pulse
Amazon RedshiftSpotfire
Considered Both Products
Amazon Redshift

No answer on this topic

Spotfire
Chose Spotfire
Jump: requires a lot of manual data wrangling and clicking. Reporting is too messy.
Excel: not good for big data. too much clicking to create chart.
Tableau: not advanced enough. Functionality is limited.
Top Pros
Top Cons
Features
Amazon RedshiftSpotfire
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Amazon Redshift
-
Ratings
Spotfire
7.3
8 Ratings
13% below category average
Connect to Multiple Data Sources00 Ratings7.88 Ratings
Extend Existing Data Sources00 Ratings7.48 Ratings
Automatic Data Format Detection00 Ratings7.88 Ratings
MDM Integration00 Ratings6.05 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Amazon Redshift
-
Ratings
Spotfire
9.1
8 Ratings
9% above category average
Visualization00 Ratings9.08 Ratings
Interactive Data Analysis00 Ratings9.28 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Amazon Redshift
-
Ratings
Spotfire
7.4
8 Ratings
10% below category average
Interactive Data Cleaning and Enrichment00 Ratings7.28 Ratings
Data Transformations00 Ratings8.08 Ratings
Data Encryption00 Ratings7.05 Ratings
Built-in Processors00 Ratings7.55 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Amazon Redshift
-
Ratings
Spotfire
7.6
8 Ratings
10% below category average
Multiple Model Development Languages and Tools00 Ratings7.57 Ratings
Automated Machine Learning00 Ratings8.55 Ratings
Single platform for multiple model development00 Ratings7.68 Ratings
Self-Service Model Delivery00 Ratings6.76 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Amazon Redshift
-
Ratings
Spotfire
7.4
7 Ratings
14% below category average
Flexible Model Publishing Options00 Ratings7.87 Ratings
Security, Governance, and Cost Controls00 Ratings7.07 Ratings
Best Alternatives
Amazon RedshiftSpotfire
Small Businesses
Google BigQuery
Google BigQuery
Score 8.7 out of 10
Jupyter Notebook
Jupyter Notebook
Score 9.2 out of 10
Medium-sized Companies
Snowflake
Snowflake
Score 8.8 out of 10
Posit
Posit
Score 9.8 out of 10
Enterprises
Snowflake
Snowflake
Score 8.8 out of 10
Posit
Posit
Score 9.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon RedshiftSpotfire
Likelihood to Recommend
8.8
(38 ratings)
8.6
(351 ratings)
Likelihood to Renew
-
(0 ratings)
9.1
(30 ratings)
Usability
9.0
(10 ratings)
8.0
(27 ratings)
Availability
-
(0 ratings)
9.0
(14 ratings)
Performance
-
(0 ratings)
7.1
(14 ratings)
Support Rating
9.0
(7 ratings)
8.7
(27 ratings)
In-Person Training
-
(0 ratings)
8.1
(52 ratings)
Online Training
-
(0 ratings)
8.9
(55 ratings)
Implementation Rating
-
(0 ratings)
8.3
(17 ratings)
Configurability
-
(0 ratings)
7.1
(3 ratings)
Contract Terms and Pricing Model
10.0
(1 ratings)
-
(0 ratings)
Ease of integration
-
(0 ratings)
7.0
(2 ratings)
Product Scalability
-
(0 ratings)
7.0
(4 ratings)
Vendor post-sale
-
(0 ratings)
5.0
(1 ratings)
Vendor pre-sale
-
(0 ratings)
5.0
(1 ratings)
User Testimonials
Amazon RedshiftSpotfire
Likelihood to Recommend
Amazon AWS
If the number of connections is expected to be low, but the amounts of data are large or projected to grow it is a good solutions especially if there is previous exposure to PostgreSQL. Speaking of Postgres, Redshift is based on several versions old releases of PostgreSQL so the developers would not be able to take advantage of some of the newer SQL language features. The queries need some fine-tuning still, indexing is not provided, but playing with sorting keys becomes necessary. Lastly, there is no notion of the Primary Key in Redshift so the business must be prepared to explain why duplication occurred (must be vigilant for)
Read full review
Spotfire
A high level of data integration is available here it supports various data sources and so on. Collaborating features allow users to give access to the dashboard and merge data analytics with other team members. It can meet the demands of both small and large size business enterprises. A customized dashboard and reports are provided to meet the specific needs and get support of extensibility through APIs and customized scripts.
Read full review
Pros
Amazon AWS
  • [Amazon] Redshift has Distribution Keys. If you correctly define them on your tables, it improves Query performance. For instance, we can define Mapping/Meta-data tables with Distribution-All Key, so that it gets replicated across all the nodes, for fast joins and fast query results.
  • [Amazon] Redshift has Sort Keys. If you correctly define them on your tables along with above Distribution Keys, it further improves your Query performance. It also has Composite Sort Keys and Interleaved Sort Keys, to support various use cases
  • [Amazon] Redshift is forked out of PostgreSQL DB, and then AWS added "MPP" (Massively Parallel Processing) and "Column Oriented" concepts to it, to make it a powerful data store.
  • [Amazon] Redshift has "Analyze" operation that could be performed on tables, which will update the stats of the table in leader node. This is sort of a ledger about which data is stored in which node and which partition with in a node. Up to date stats improves Query performance.
Read full review
Spotfire
  • It has the best coding integration (python, R) of any BI product
  • The ability to work with very large datasets (10 mil+) is better than competitors
  • Export options are more complete and have better functionality
  • The data canvas is the best tool to join and transform data vs. competitors
Read full review
Cons
Amazon AWS
  • We've experienced some problems with hanging queries on Redshift Spectrum/external tables. We've had to roll back to and old version of Redshift while we wait for AWS to provide a patch.
  • Redshift's dialect is most similar to that of PostgreSQL 8. It lacks many modern features and data types.
  • Constraints are not enforced. We must rely on other means to verify the integrity of transformed tables.
Read full review
Spotfire
  • The donut chart is I guess a powerful illustrations but I hope it should be done quite simple in Spotfire. But in Spotfire there are lots of steps involve just to build a simple donut chart.
  • Table calculation (like Row or Column Differences) should be made simple or there should be drag and drop function for Table Calculation. No need for scripting.
  • Information Link should be changed. If new columns are added to the table just refreshing the data should be able to capture the new column. No need extra step to add column
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Likelihood to Renew
Amazon AWS
No answers on this topic
Spotfire
-Easy to distribute information throughout the enterprise using the webplayer. -Ad hoc analysis is possible throughout the enterprise using business author in the webplayer or the thick client. -Low level of support needed by IT team. Access interfaces with LDAP and numerous other authentication methods. -Possible to continually extend the platform with JavaScript, R scripts, HTML, and custom extensions. -Ability to standardize data logic through pre-built queries in the Information Designer. Everyone in the enterprise is using the same logic -Tagging and bookmarking data allows for quick sharing of insights. -Integration with numerous data sources... flat files, data bases, big data, images, etc. -Much improved mapping capability. Also includes the ability to apply data points over any image.
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Usability
Amazon AWS
Just very happy with the product, it fits our needs perfectly. Amazon pioneered the cloud and we have had a positive experience using RedShift. Really cool to be able to see your data housed and to be able to query and perform administrative tasks with ease.
Read full review
Spotfire
Basic tasks like generating meaningful information from large sets of raw data are very easy. The next step of linking to multiple live data sources and linking those tables and performing on the fly analysis of the imported data is understandably more difficult.
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Reliability and Availability
Amazon AWS
No answers on this topic
Spotfire
Even though, it's a rather stable and predictable tool that's also fast, it does have some bugs and inconsistencies that shut down the system. Depending on the details, it could happen as often as 2-3 times a week, especially during the development period.
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Performance
Amazon AWS
No answers on this topic
Spotfire
Generally, the Spotfire client runs with very good performance. There are factors that could affect performance, but normally has to do with loading large analysis files from the library if the database is located some distance away and your global network is not optimal. Once you have your data table(s) loaded in the client application, usually the application is quite good performance-wise.
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Support Rating
Amazon AWS
The support was great and helped us in a timely fashion. We did use a lot of online forums as well, but the official documentation was an ongoing one, and it did take more time for us to look through it. We would have probably chosen a competitor product had it not been for the great support
Read full review
Spotfire
Support has been helpful with issues. Support seems to know their product and its capabilities. It would also seem that they have a good sense of the context of the problem; where we are going with this issue and what we want the end outcome to be.
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In-Person Training
Amazon AWS
No answers on this topic
Spotfire
The instructor was very in depth and provided relevant training to business users on how to create visualizations. They showed us how to alter settings and filter views, and provided resources for future questions. However, the instructor failed to cover data sources, connecting to data, etc. While it was helpful to see how users can use the data to create reports, they failed to properly instruct us on how to get the dataset in to begin with. We are still trying to figure out connections to certain databases (we have multiple different types).
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Online Training
Amazon AWS
No answers on this topic
Spotfire
The online training is good, provides a good base of knowledge. The video demonstrations were well-done and easy to follow along. Provided exercises are good as well, but I think there could be more challenging exercises. The training has also gone up in price significantly in the last 3 years (in USD, which hurts us even more in Canada), and I'm not sure it is worth the money it now costs (it is worth how much it cost 3 years ago, but not double that.)
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Implementation Rating
Amazon AWS
No answers on this topic
Spotfire
The original architecture I created for our implementation had only a particular set of internal business units in mind. Over the years, Spotfire gained in popularity in our company and was being utilized across many more business units. Soon, its usage went beyond what the original architectural implementation could provide. We've since learned about how the product is used by the different teams and are currently in the middle of rolling out a new architecture. I suggest:
  • Have clearly defined service level agreements with all the teams that will use Spotfire. Your business intelligence group might only need availability during normal working hours, but your production support group might need 24/7 availability. If these groups share one Spotfire server, maintenance of that server might be a problem.
  • Know the different types of data you will be working with. One group might be working with "public" data while another group might work with sensitive data. Design your Library accordingly and with the proper permissions.
  • Know the roles of the users of Spotfire. Will there only be a small set of report writers or does everyone have write access to the Library?
  • ALWAYS add a timestamp prompt to your reports. You don't want multiple users opening a report that will try and pull down millions of rows of data to their local workstations. Another option, of course, is to just hard code a time range in the backing database view (i.e. where activity_date >= sysdate - 90, etc.), but I'd rather educate/train the user base if possible.
  • This probably goes without saying, but if possible, point to a separate reporting database or a logical standby database. You don't want the company pounding on your primaries and take down your order system.
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Alternatives Considered
Amazon AWS
Than Vertica: Redshift is cheaper and AWS integrated (which was a plus because the whole company was on AWS).
Than BigQuery: Redshift has a standard SQL interface, though recently I heard good things about BigQuery and would try it out again.
Than Hive: Hive is great if you are in the PB+ range, but latencies tend to be much slower than Redshift and it is not suited for ad-hoc applications.
Read full review
Spotfire
Spotfire is significantly ahead of both products from an ETL and data ingestion capability. Spotfire also has substantially better visualizations than Power BI, and although the native visualizations aren't as flexible in Tableau, Spotfire enables users to create completely custom javascript visaualizations, which neither Tableau or Power BI has. Tableau and Power BI are likely only superior to Spotfire with respect to embedded analysis on a website.
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Contract Terms and Pricing Model
Amazon AWS
Redshift is relatively cheaper tool but since the pricing is dynamic, there is always a risk of exceeding the cost. Since most of our team is using it as self serve and there is no continuous tracking by a dedicated team, it really needs time & effort on analyst's side to know how much it is going to cost.
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Spotfire
No answers on this topic
Scalability
Amazon AWS
No answers on this topic
Spotfire
In an enterprise architecture, if Spotfire Advanced Data services(Composite Studio),data marts can be managed optimally and scalability in a data perspective is great. As the web player/consumer is directly proportional to RAM, if the enterprise can handle RAM requirement accomodating fail over mechanisms appropraitely, it is definitely scalable,
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Return on Investment
Amazon AWS
  • Our company is moving to the AWS infrastructure, and in this context moving the warehouse environments to Redshift sounds logical regardless of the cost.
  • Development organizations have to operate in the Dev/Ops mode where they build and support their apps at the same time.
  • Hard to estimate the overall ROI of moving to Redshift from my position. However, running Redshift seems to be inexpensive compared to all the licensing and hardware costs we had on our RDBMS platform before Redshift.
Read full review
Spotfire
  • It is costly, so not suitable for small scale implementations.
  • Dashboards are as good as the developer, so need experience to get most out of it
  • You need to be on Spotfire 11 at least to implement out of the box visualizations
  • Integration with Python and R is a game changer, it comes very handy to onboard data scientists without much hassle
  • performance is exceptionally well.
  • Secure
Read full review
ScreenShots

Spotfire Screenshots

Screenshot of Smart Visual AnalyticsScreenshot of Geospatial AnalyticsScreenshot of Intelligent Data WranglingScreenshot of Point-and-click Data ScienceScreenshot of Real-time Streaming Analytics