{"id":671,"date":"2025-03-13T08:48:45","date_gmt":"2025-03-13T08:48:45","guid":{"rendered":"https:\/\/www.gainify.io\/?p=671"},"modified":"2026-01-05T08:59:35","modified_gmt":"2026-01-05T08:59:35","slug":"factset-alternatives","status":"publish","type":"post","link":"https:\/\/www.gainify.io\/blog\/factset-alternatives","title":{"rendered":"FactSet Alternatives: 6 Best Platforms for Securities Research in 2026"},"content":{"rendered":"\n

FactSet, an enterprise-tier securities research platform that stands out for its extensive data integrations<\/strong> (you can connect to 100+ third-party and 40+ proprietary datasets).

If big data is a part of your workflow, FactSet empowers you to ingest shipping & supply chain data, market data, security data, M&A information<\/strong>, and more. All this can be connected to your internal content assets to provide informed answers to complex questions. FactSet\u2019s entity master enables you to link external data to your models<\/strong> without needing to code. It\u2019s little surprise that FactSet was awarded the ‘best data marketplace award<\/a>‘ at the A-Team Data Management Insight USA Awards 2024. <\/p>\n\n\n\n

AI tools <\/strong>connect to your data to answer your critical questions and automate stock research tasks. You\u2019ll speed up your decision making and have confidence knowing insights are backed by big data.<\/p>\n\n\n\n

If you\u2019re an institutional investor, you will appreciate FactSet for its banker efficiency <\/strong>and investor relations<\/strong> features.<\/p>\n\n\n\n

However, while FactSet may seem like the dream securities research platform, FactSet may not be for everyone<\/strong>. One of the main reasons investors seek an alternative is the price, with Vendr listing an average investment of $45,000 per year<\/a>. Retail investors (those investing with their own money, rather than on behalf of clients) are unlikely to require investor relation, custom data ingestion, and banker efficiency tools. <\/p>\n\n\n\n

In this blog, you will learn about retail investor-friendly platforms such as Gainify and Fiscal.ai<\/a><\/strong>. We\u2019ll show you how you can get enterprise-tier features at a fraction of the cost, with platforms dedicated to providing you with AI stock analysis, Wall Street data, top investor tracking<\/a>, and more<\/strong>.<\/p>\n\n\n\n

If you are an institutional investor, we put FactSet head to head with other enterprise-tier platforms such as AlphaSense, S&P Capital IQ, and Bloomberg<\/strong>. You\u2019ll also discover retail investor platforms with breakthrough AI features to power your stock research process. <\/p>\n\n\n\n

1. Gainify.io<\/a> \u2013 Best for AI Stock Analysis, Access to Analyst Estimate Database, Top Investor Tracking<\/strong><\/h2>\n\n\n\n
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Gainify<\/a> is for you if you want to understand a stock\u2019s true intrinsic value<\/strong> \u2013 rather than simply tracking price movements. <\/p>\n\n\n\n

If you\u2019re a retail investor, it\u2019s your go-to platform for Wall Street data at affordable prices<\/strong>. In fact, users on the free plan get full access to all platform features, including data from S&P Global<\/a> intelligence. <\/p>\n\n\n\n

You will also find breakthrough AI features & analysis, top investor tracking, proprietary metrics<\/strong> not found on any other platform, and an unwavering commitment to helping you uncover your next winning trade. <\/p>\n\n\n\n

Institutional and retail investors alike <\/strong>will find Gainify\u2019s streamlined dashboard a welcome improvement upon terminal style dashboards, and its AI tools (built by investors for investors) indispensable in optimizing research workflows. <\/p>\n\n\n\n

Forward-looking estimates & historical revision data<\/h3>\n\n\n\n
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Gainify<\/a> is one of the few platforms to elegantly combine historical revision data and forward looking estimates<\/strong> into an easy-to-interpret dashboard. All using the world\u2019s largest analyst estimate database. With it, you can understand how accurate analyst revisions have been in the past <\/strong>(and if they tended to over or underestimate), and get 3-year forward projections on those same metrics<\/strong>.

You have access analyst estimate history and forward projections for a range of key metrics, including: <\/p>\n\n\n\n