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…
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Elasticsearch
Score 8.8 out of 10
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Elasticsearch is an enterprise search tool from Elastic in Mountain View, California.
- When I need to find additional data from filings to flesh out my thoughts on a company AlphaSense is very well suited - When I am understanding a space for the first time, I can flesh out various experts, docs and other information AlphaSense is very well suited - Can get better at valuation analysis
Elasticsearch is a really scalable solution that can fit a lot of needs, but the bigger and/or those needs become, the more understanding & infrastructure you will need for your instance to be running correctly. Elasticsearch is not problem-free - you can get yourself in a lot of trouble if you are not following good practices and/or if are not managing the cluster correctly. Licensing is a big decision point here as Elasticsearch is a middleware component - be sure to read the licensing agreement of the version you want to try before you commit to it. Same goes for long-term support - be sure to keep yourself in the know for this aspect you may end up stuck with an unpatched version for years.
As I mentioned before, Elasticsearch's flexible data model is unparalleled. You can nest fields as deeply as you want, have as many fields as you want, but whatever you want in those fields (as long as it stays the same type), and all of it will be searchable and you don't need to even declare a schema beforehand!
Elastic, the company behind Elasticsearch, is super strong financially and they have a great team of devs and product managers working on Elasticsearch. When I first started using ES 3 years ago, I was 90% impressed and knew it would be a good fit. 3 years later, I am 200% impressed and blown away by how far it has come and gotten even better. If there are features that are missing or you don't think it's fast enough right now, I bet it'll be suitable next year because the team behind it is so dang fast!
Elasticsearch is really, really stable. It takes a lot to bring down a cluster. It's self-balancing algorithms, leader-election system, self-healing properties are state of the art. We've never seen network failures or hard-drive corruption or CPU bugs bring down an ES cluster.
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
For my daily work AlphaSense is inevitable, as it holds a real added value compared to most of the CI platforms. It really makes my work more efficient and contributes to better strategy and decision making in the company. Datalog is available up to 15 years, which is a real advantage compared to other CI platforms that can only start competitor monitoring following the signature of the agreement.
To get started with Elasticsearch, you don't have to get very involved in configuring what really is an incredibly complex system under the hood. You simply install the package, run the service, and you're immediately able to begin using it. You don't need to learn any sort of query language to add data to Elasticsearch or perform some basic searching. If you're used to any sort of RESTful API, getting started with Elasticsearch is a breeze. If you've never interacted with a RESTful API directly, the journey may be a little more bumpy. Overall, though, it's incredibly simple to use for what it's doing under the covers.
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 :).
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
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.
We've only used it as an opensource tooling. We did not purchase any additional support to roll out the elasticsearch software. When rolling out the application on our platform we've used the documentation which was available online. During our test phases we did not experience any bugs or issues so we did not rely on support at all.
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.
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.
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.
As far as we are concerned, Elasticsearch is the gold standard and we have barely evaluated any alternatives. You could consider it an alternative to a relational or NoSQL database, so in cases where those suffice, you don't need Elasticsearch. But if you want powerful text-based search capabilities across large data sets, Elasticsearch is the way to go.
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.
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.
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.
We have had great luck with implementing Elasticsearch for our search and analytics use cases.
While the operational burden is not minimal, operating a cluster of servers, using a custom query language, writing Elasticsearch-specific bulk insert code, the performance and the relative operational ease of Elasticsearch are unparalleled.
We've easily saved hundreds of thousands of dollars implementing Elasticsearch vs. RDBMS vs. other no-SQL solutions for our specific set of problems.
