Side-by-side comparison of AI visibility scores, market position, and capabilities
Tel Aviv and NYC data pipeline platform raised $50M+ from Salesforce Ventures; unified ELT, reverse ETL, and workflow orchestration for cloud data warehouses with 200+ source integrations.
Rivery is a data pipeline and orchestration platform founded in 2018 and headquartered in Tel Aviv, Israel, with offices in New York City. The company was founded by Itamar Ben Hemo and Or Lenchner to build a unified data operations platform that covers data ingestion, transformation, reverse ETL (data activation), and workflow orchestration in a single environment. Rather than requiring data teams to stitch together separate tools for each stage of the data lifecycle, Rivery provides an integrated platform where all data workflows — from source connection to downstream activation — are managed and monitored in one place.\n\nRivery raised $50 million in funding from investors including Salesforce Ventures, YL Ventures, and Entrée Capital. The platform supports ingestion from more than 200 sources, in-pipeline transformations, and native reverse ETL to sync data from warehouses back into operational tools like Salesforce, HubSpot, and customer data platforms. Its orchestration engine allows teams to build dependency graphs across pipelines, trigger workflows based on events or schedules, and monitor data flow health through a unified dashboard. Rivery's integrated approach reduces the operational overhead of managing multiple single-function tools that each require separate infrastructure, monitoring, and maintenance.\n\nRivery serves data teams at mid-market and enterprise companies across e-commerce, fintech, and media who need a flexible, cloud-native data operations platform without the deployment complexity of open-source tools. The platform runs fully managed in the cloud with Rivery handling all infrastructure, scaling, and maintenance. Its visual pipeline builder makes it accessible to data analysts and business intelligence developers without deep engineering backgrounds.
$318.2M revenue 2024 (up from $210.6M 2023); $4.2B valuation; $801M funding; 1,000 customers; 40% SaaS growth; 100% embedded ARR growth; AI search analytics leader
ThoughtSpot was founded in 2012 by former Google engineers with the mission of making data analytics as intuitive as a search engine — enabling any business user, regardless of SQL or BI expertise, to ask questions of enterprise data in plain language and receive instant, accurate answers. The company's core insight was that traditional BI tools required technical intermediaries between business users and their data, creating a bottleneck that slowed decisions and concentrated analytical capability in a small number of trained analysts. ThoughtSpot's founding technology, Search & AI, applies natural language processing and in-memory relational search to translate business questions directly into analytical queries against live data.\n\nThoughtSpot's platform now centers on Spotter, its AI analytics agent, which extends beyond search to proactively surface insights, generate visualizations, and embed analytical experiences within third-party SaaS applications through ThoughtSpot Everywhere. The embedded analytics product allows software companies to deliver AI-powered data experiences to their end customers without building a BI layer from scratch, monetizing data assets within existing product surfaces. ThoughtSpot serves approximately 1,000 enterprise customers across financial services, retail, healthcare, and technology, with deployments on Snowflake, Databricks, Google BigQuery, and other cloud data platforms.\n\nThoughtSpot generated $318.2 million in revenue in 2024, up from $210.6 million in 2023, with a $4.2 billion valuation and $801 million in total funding. The company competes with Tableau, Power BI, and Looker, differentiating through its natural language search-first interface and embedded analytics strategy. Its growth trajectory and AI-native positioning make ThoughtSpot one of the stronger independent analytics platforms as the market shifts toward conversational data experiences.
Monitor how your brand performs across ChatGPT, Gemini, Perplexity, Claude, and Grok daily.