Count vs Rivery
Side-by-side comparison of AI visibility scores, market position, and capabilities
Collaborative data notebook that combines SQL, Python, and drag-and-drop visualizations in a shared canvas, enabling data teams to analyze and communicate findings together.
About
Count is a collaborative data notebook platform founded in 2019 in London, designed to bridge the gap between data analysis and business communication. Unlike traditional BI tools that separate analysis from presentation, Count provides a single infinite canvas where analysts write SQL and Python cells, create charts and tables, and add narrative context — all in one shareable document. This notebook-meets-whiteboard interface enables data teams to take an analysis from raw query to polished stakeholder presentation without exporting data or switching tools.
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.
About
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.
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