AlphaSense vs. IBM Watson Studio on Cloud Pak for Data

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AlphaSense
Score 9.5 out of 10
N/A
AlphaSense is a market intelligence platform used by companies and financial institutions. Since 2011, their AI-based technology has helped professionals make business decisions by delivering insights from public and private content—including company filings, event transcripts, news, trade journals, and equity research. The platform boasts users among 4,000 enterprise customers. Headquartered in New York City, AlphaSense employs over 1,000 people across offices in the U.S., U.K., Finland, and…N/A
IBM Watson Studio
Score 9.6 out of 10
N/A
IBM Watson Studio enables users to build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio enables users can operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. The vendor states the solution simplifies AI lifecycle management and accelerates time to value with an open, flexible multicloud architecture.N/A
Pricing
AlphaSenseIBM Watson Studio on Cloud Pak for Data
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
AlphaSenseIBM Watson Studio
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
AlphaSenseIBM Watson Studio on Cloud Pak for Data
Top Pros

No answers on this topic

Top Cons
Features
AlphaSenseIBM Watson Studio on Cloud Pak for Data
Financial Research
Comparison of Financial Research features of Product A and Product B
AlphaSense
7.0
168 Ratings
3% below category average
IBM Watson Studio on Cloud Pak for Data
-
Ratings
Private Company Data5.1139 Ratings00 Ratings
Industry-Specific Information7.6164 Ratings00 Ratings
Independent Research Access7.8158 Ratings00 Ratings
M&A Analysis6.9131 Ratings00 Ratings
Supply Chain Data5.890 Ratings00 Ratings
ESG Data6.288 Ratings00 Ratings
Credit Ratings Reports6.977 Ratings00 Ratings
Macroeconomic News8.0119 Ratings00 Ratings
Search Tools9.1156 Ratings00 Ratings
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
AlphaSense
-
Ratings
IBM Watson Studio on Cloud Pak for Data
8.1
22 Ratings
3% below category average
Connect to Multiple Data Sources00 Ratings8.022 Ratings
Extend Existing Data Sources00 Ratings8.022 Ratings
Automatic Data Format Detection00 Ratings10.021 Ratings
MDM Integration00 Ratings6.414 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
AlphaSense
-
Ratings
IBM Watson Studio on Cloud Pak for Data
10.0
22 Ratings
18% above category average
Visualization00 Ratings10.022 Ratings
Interactive Data Analysis00 Ratings10.022 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
AlphaSense
-
Ratings
IBM Watson Studio on Cloud Pak for Data
9.5
22 Ratings
15% above category average
Interactive Data Cleaning and Enrichment00 Ratings10.022 Ratings
Data Transformations00 Ratings10.021 Ratings
Data Encryption00 Ratings8.020 Ratings
Built-in Processors00 Ratings10.021 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
AlphaSense
-
Ratings
IBM Watson Studio on Cloud Pak for Data
9.5
22 Ratings
12% above category average
Multiple Model Development Languages and Tools00 Ratings10.021 Ratings
Automated Machine Learning00 Ratings10.022 Ratings
Single platform for multiple model development00 Ratings10.022 Ratings
Self-Service Model Delivery00 Ratings8.020 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
AlphaSense
-
Ratings
IBM Watson Studio on Cloud Pak for Data
8.0
22 Ratings
7% below category average
Flexible Model Publishing Options00 Ratings9.022 Ratings
Security, Governance, and Cost Controls00 Ratings7.022 Ratings
Best Alternatives
AlphaSenseIBM Watson Studio on Cloud Pak for Data
Small Businesses

No answers on this topic

Jupyter Notebook
Jupyter Notebook
Score 9.1 out of 10
Medium-sized Companies
S&P Capital IQ
S&P Capital IQ
Score 7.9 out of 10
Posit
Posit
Score 9.7 out of 10
Enterprises
S&P Capital IQ
S&P Capital IQ
Score 7.9 out of 10
Posit
Posit
Score 9.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AlphaSenseIBM Watson Studio on Cloud Pak for Data
Likelihood to Recommend
9.6
(236 ratings)
8.0
(65 ratings)
Likelihood to Renew
8.5
(19 ratings)
8.2
(1 ratings)
Usability
8.9
(232 ratings)
9.6
(2 ratings)
Availability
8.6
(20 ratings)
8.2
(1 ratings)
Performance
7.5
(20 ratings)
8.2
(1 ratings)
Support Rating
8.3
(15 ratings)
8.2
(1 ratings)
In-Person Training
9.1
(1 ratings)
8.2
(1 ratings)
Online Training
7.7
(8 ratings)
8.2
(1 ratings)
Implementation Rating
9.0
(5 ratings)
7.3
(1 ratings)
Configurability
7.5
(5 ratings)
-
(0 ratings)
Contract Terms and Pricing Model
8.3
(4 ratings)
-
(0 ratings)
Ease of integration
8.2
(1 ratings)
-
(0 ratings)
Product Scalability
7.9
(20 ratings)
8.2
(1 ratings)
Professional Services
8.2
(2 ratings)
-
(0 ratings)
Vendor post-sale
8.3
(5 ratings)
7.3
(1 ratings)
Vendor pre-sale
8.7
(5 ratings)
8.2
(1 ratings)
User Testimonials
AlphaSenseIBM Watson Studio on Cloud Pak for Data
Likelihood to Recommend
AlphaSense
AlphaSense is best for colleagues who need to dive into details and collect info on various topics (e.g. analysts). Most colleagues do not have time to search on the platform and cannot exploit the capabilities of AlphaSense. We are now in a "trial mode" for the first subscription year to see in real life how the selected users use their premium accounts, then we will decide on the extension of the number of accounts.
Read full review
IBM
It has a lot of features that are good for teams working on large-scale projects and continuously developing and reiterating their data project models. Really helpful when dealing with large data. It is a kind of one-stop solution for all data science tasks like visualization, cleaning, analyzing data, and developing models but small teams might find a lot of features unuseful.
Read full review
Pros
AlphaSense
  • More and unique content. Investor research and expert interviews are very valuable.
  • AI-generated bright summaries allow you to quickly understand the takeaways from an earnings call or an interview transcript.
  • Search tools and criteria allow me to narrow in on the right content quickly.
Read full review
IBM
  • Integration of IBM Watson APIs such as speech to text, image recognition, personality insights, etc.
  • SPSS modeler and neural network model provide no-code environments for data scientists to build pipelines quickly.
  • Enforced best-practices set up POCs for deployment in production with a minimum of re-work.
  • Estimator validation lets data scientists test and prove different models.
Read full review
Cons
AlphaSense
  • The whole platform should be much faster with less lag.
  • The layout of the document search isn't great. Often, I find it hard to expand sources or dates.
  • Financials sections should be customisible, i.e. bolden certain ratios, remove others etc.
  • "Error loading documents, please refresh the widget" should be seen fewer times than often.
  • Why can't I export events dates to my Outlook calendar?
Read full review
IBM
  • The cost is steep and so only companies with resources can afford it
  • It will be nice to have Chinese versions so that Chinese engineers can also use it easily
  • It takes a while to learn how to input different kinds of skin defects for detection
Read full review
Likelihood to Renew
AlphaSense
AlphaSense is a very useful tool and is reasonably priced for our organization. While I may not be a hyper-active user, it's a great resource when I need to quickly do a competitive landscape survey, review publicly available documents (transcripts, etc.), or review Wall Street research
Read full review
IBM
because we find out that DSX results have improved our approach to the whole subject (data, models, procedures)
Read full review
Usability
AlphaSense
The search capabilities of AlphaSense are quite impressive. As a former Search Product Manager, I see where the boolean capabilities of AlphaSense's search allow me to control the scope, proximity, and keywords of the search. The addition of AI to the search keywords facilitates my booleans - frankly I don't have to use a boolean for additional keywords. That's quite helpful. The addition of AI (still in beta) to the search is helping those who don't want to get into the weeds
Read full review
IBM
The UI flawlessly merges this offering by providing a neat, minimal, responsive interface
Read full review
Reliability and Availability
AlphaSense
The availability of Alphasense is great. I have used the software for multiple years and cannot remember ever having an outage issue. This is surprising actually, as I use other software applications that do not have regular outages, but still have outages periodically. Alphasense, on the other hand, never seems to have any outages. Good sign if I can't remember the software not working :).
Read full review
IBM
From time to time there are services unavailable, but we have been always informed before and they got back to work sooner than expected
Read full review
Performance
AlphaSense
Loading or performing searches on AlphaSense platform is reasonably fast for most of the time. However, it is sometimes unacceptably long for me to load PDF files (earnings presentation, supplementary financial report) on AlphaSense. Certain features might also take very long time, such as loading for "similar tables" across EDGAR filings, or downloading tables from EDGAR filings
Read full review
IBM
Never had slow response even on our very busy network
Read full review
Support Rating
AlphaSense
Customer support is very prompt. I get personalized support for search recommendations and content that I could not find in my own search. Support checks in with me on a bi-monthly basis to keep me informed of the many different feature additions, I cannot find a more kind, understanding, and supportive team.
Read full review
IBM
I received answers mostly at once and got answered even further my question: they gave me interesting points of view and suggestion for deepening in the learning path
Read full review
In-Person Training
AlphaSense
The person was prepared, attentive, understood the nature of my questions, was willing to work through any difficulties or misunderstandings, was patient, and super pleasant to work with. Great customer service.
Read full review
IBM
The trainers on the job are very smart with solutions and very able in teaching
Read full review
Online Training
AlphaSense
Our online training was led by a AlphaSense representative. The training is always good. The bigger issue is our time availability to remember the training and utilize it. The trainers will show us examples and then ask us for real industries or companies of interest to use so that the training is most relevant.
Read full review
IBM
The Platform is very handy and suggests further steps according my previous interests
Read full review
Implementation Rating
AlphaSense
use friendly UI made the transition seamless
Read full review
IBM
It surprised us with unpredictable case of use and brand new points of view
Read full review
Alternatives Considered
AlphaSense
Nothing else had the platform capabilities nor the level of access to information that AlphaSense does. Everything else I tried had one area or type of information it aggregated, but none of them were able to integrate information the way AlphaSense does, and most of them didn't really enable access to news, so I had to supplement my work with RSS feeds and dozens of open browser tabs. AlphaSense collapsed all of that effort into one search in one window.
Read full review
IBM
The main reason I personally changed over from Azure ML Studio is because it lacked any support for significant custom modelling with packages and services such as TensorFlow, scikit-learn, Microsoft Cognitive Toolkit and Spark ML. IBM Watson Studio provides these services and does so in a well integrated and easy to use fashion making it a preferable service over the other services that I have personally used.
Read full review
Contract Terms and Pricing Model
AlphaSense
It has been very simple. Contract terms are standard for an online portal. Of course, I would like unit pricing to be lower so I could get more users on the license or to rotate seats to get more value out of each license. Billing frequency has been standard as well. This could be more significant for a larger customer.
Read full review
IBM
No answers on this topic
Scalability
AlphaSense
The sharing features provides by AlphaSense mean that it can be readily scaled for teams within an organization and, subject to compliance requirements, with client organizations. The ability to share annotations of transcripts and investor releases is valuable, and facilitates collaboration between analysts.
Read full review
IBM
It helped us in getting from 0 to DSX without getting lost
Read full review
Professional Services
AlphaSense
Very professional and knowledgeable team. Easy to work with and communicates in a way that's helpful for users who aren't experts on the platform
Read full review
IBM
No answers on this topic
Return on Investment
AlphaSense
  • AlphaSense has allowed us to generate deeper competitive insights. For example, we conducted an in depth analysis of the aerial data analytics (drone) industry, and AlphSense helped us narrow in on the market leaders and their various strengths / weaknesses.
  • AlphaSense has improved our team's overall efficiency. With Stream in particular, we are able to pinpoint insights in a matter of minutes through the transcript feature as opposed to having to conduct a series of calls ourselves. This is a significant time saver.
  • AlphaSense has allowed us to make more informed decisions on our public holdings by providing us with unfettered access to equity research analyst reports.
Read full review
IBM
  • Could instantly show data driven insights to drive 20% incremental revenue over existing results
  • Still don't have a real use case for unstructured data like twitter feed
  • Some of the insights around user actions have driven new projects to automate mundane tasks
Read full review
ScreenShots

AlphaSense Screenshots

Screenshot of AlphaSense's AI search, available across 2,000+ premium business data sources including SEC filings, earnings calls, broker research, business journals, and news. It can be used to stay ahead of market-moving trends and instantly surface critical information buried within millions of documents.Screenshot of a single view of the industries, companies and themes within a fully-customizable dashboard, that can be tailored to fit any research process.Screenshot of a purpose-built generative AI that offers insights from a premium content universe.