data-transformation
(15)
The Tiny SQL Tool That Taught 100,000 Data Teams to Think Like Software Engineers
dbt began as a practical fix for analysts stuck between raw warehouse tables and impatient colleagues. A decade later, its workflow sits inside more than 100,000 data teams - and a completed merger with Fivetran is turning that humble idea into a bid for the data layer beneath enterprise AI.
Parabola
Parabola is a San Francisco-based no-code data automation platform that lets operations and finance teams turn messy, recurring, spreadsheet-driven processes into transparent, auditable AI-powered workflows. Users describe a process in plain language or drag-and-drop building blocks, and Parabola builds a documented agent that pulls data from PDFs, emails, spreadsheets and APIs, cleans and transforms it, and runs on a schedule. Founded by Alex Yaseen and backed by OpenView, Matrix, and Thrive Capital, the company focuses on ecommerce, retail, CPG, freight and logistics teams that need to automate work that traditionally required an engineer.
Mage
Mage is a San Francisco Bay Area software company that builds an open-source and enterprise data pipeline platform for integrating, transforming, and orchestrating data. Founded in 2020 by former Airbnb engineer Tommy Dang, Mage offers a notebook-style, developer-friendly alternative to Apache Airflow, letting teams build batch and streaming pipelines in Python, SQL, and R. Its managed Mage Pro tier adds enterprise orchestration, collaboration, and AI-assisted authoring that generates, debugs, and refactors pipeline code from natural language.
Orderful
Orderful is a modern, cloud-based EDI (Electronic Data Interchange) platform that connects supply chains. It replaces the slow, point-to-point EDI integrations that have governed B2B commerce for decades with a single API connection, web tooling, and an AI-native engine (Mosaic) that interprets and transforms trading-partner data automatically. More than 400 companies - including Liquid Death, Caraway, NFI, Hirschbach, Pabst, and Koch Industries - use Orderful to onboard partners in days instead of months and to process orders, invoices, and shipping documents in real time.
Mozart Data
Mozart Data is a San Francisco-based startup that gives companies an out-of-the-box modern data stack - a managed Snowflake warehouse, no-code ETL connectors, a SQL transformation layer, and built-in observability - so non-engineers can go from siloed, messy data to analysis-ready in about an hour. Founded in 2020 by Peter Fishman and Dan Silberman and backed by Y Combinator, it lets startups and SMBs skip the months of plumbing usually needed to stand up data infrastructure.
Coalesce
Coalesce is a data transformation platform built for the Snowflake Data Cloud (and now Databricks and Microsoft Fabric) that automates SQL pipeline development with a visual, metadata-driven, low-code interface aimed at enterprise data teams.
Hevo Data
Hevo Data is a San Francisco-based SaaS company that builds no-code, automated data pipeline infrastructure for modern data teams. Founded in 2017 by Manish Jethani and Sourabh Agarwal, the platform connects 150+ data sources to warehouses like Snowflake, BigQuery, and Redshift in real time - with zero maintenance overhead. Backed by Sequoia Capital India with $43M in total funding, Hevo serves 2,000+ data teams across 40+ countries, processing over 1 petabyte of data monthly. The company had $46.9M ARR in 2024 and is recognized as a G2 Leader in ETL and iPaaS categories.
Armon Petrossian
Armon Petrossian is the CEO and Co-Founder of Coalesce.io, a cloud-native data transformation platform built for the modern data stack. A first-generation Armenian-American from Portland, Oregon, he spent nearly a decade at WhereScape solving data warehouse challenges for Fortune 50 companies before co-founding Coalesce in 2020 with CTO Satish Jayanthi. Under his leadership, Coalesce has raised $81M+ in funding, achieved 4x year-over-year ARR growth, and grown to 140 employees, positioning itself as a leading ELT transformation platform for Snowflake, Databricks, and other cloud data platforms.
Raj Bains
Raj Bains is the Founder and CEO of Prophecy, a Palo Alto-based low-code data engineering platform that lets analysts and engineers build Apache Spark pipelines visually - generating real, production-grade code to Git. With a background spanning compiler engineering at NVIDIA (where he was a founding CUDA team engineer), product management at Hortonworks through its IPO, and a patent for designing a language for insurance contracts, Bains launched Prophecy in 2017 to solve a problem he had watched the data industry ignore for two decades: making data transformation fast and accessible for everyone, not just Spark specialists. The company has raised $114M+ from Insight Partners, SignalFire, JPMorgan, and HSBC, and counts Fortune 50 enterprises including HSBC, JP Morgan, Microsoft, and Toyota among its customers.
Prophecy
Prophecy is an AI-powered data engineering platform that turns visual workflows into production-grade Spark and SQL code, letting analysts and engineers build, deploy, and govern pipelines together on Databricks, Snowflake, and BigQuery.
Vikas Marwaha
Vikas Marwaha is the Co-Founder of Prophecy, an AI-powered data transformation platform trusted by Fortune 500 enterprises for building data pipelines at scale. With a career spanning Satyam, HP, Headstrong, and Wipro, he brings over two decades of enterprise sales and global partnerships experience to a company that raised $155M in total funding and achieved 3.5x revenue growth in FY2024. Prophecy's platform lets data teams build, deploy, and monitor pipelines visually while generating clean, open-source code - bridging the gap between business users and data engineers.
Improvado
Improvado is an AI-powered marketing analytics and intelligence platform built for enterprises and agencies. Founded in 2015, it connects 1,000+ data sources - from Google Ads and Meta to Salesforce and Shopify - and pipes everything into a unified data layer that feeds an AI agent capable of generating dashboards, monitoring data quality, running A/B tests, and delivering cross-channel marketing insights in natural language. The platform covers the full analytics stack: ETL/ELT pipelines, data governance, AI-native BI dashboards, and agentic execution - all in one environment. Backed by $34M in funding from Updata Partners, Bullpen Capital, and Nexus Venture Partners, Improvado serves Fortune 500 companies and global agencies including ASUS, Eicoff, and Booyah Advertising.
Tommy Dang
Tommy Dang is the co-founder and CEO of Mage, an open-source data pipeline and orchestration platform he founded in December 2020 after five years at Airbnb, where he built the Experiences product and a low-code internal tool called Omni used by over 1,000 employees. Mage has raised $11.8M across two seed rounds and grown to 8,700+ GitHub stars, positioning itself as a modern, developer-friendly alternative to Apache Airflow for building, running, and managing data pipelines at scale.
Daniel Kravtsov
Daniel Kravtsov is the CEO and Co-Founder of Improvado, a San Francisco-based AI-powered marketing intelligence platform that aggregates data from 500+ sources into a unified pipeline. A serial entrepreneur with 15+ years in digital marketing and ad tech, Kravtsov previously founded RTB-Media (acquired by Between Exchange in 2016) and Rizzoma.com before pivoting in 2017 to build Improvado into a $34M-funded revenue data platform serving enterprise marketers worldwide.
Saket Saurabh
Saket Saurabh is the co-founder and CEO of Nexla, an AI-powered data integration platform built for the age of generative AI. A serial entrepreneur who started as an engineer at NVIDIA — where he worked on GPU tech for the PlayStation 3 and automotive computing — he went on to co-found Mobsmith, a mobile ad-serving startup that was acquired by Rubicon Project (NYSE: RUBI). Armed with a BTech from IIT Kanpur and an MBA from The Wharton School, Saket founded Nexla in 2016 to automate the hardest parts of data engineering, earning recognition as a 2021 Gartner Cool Vendor and landing enterprise customers like DoorDash, Johnson & Johnson, and American Express. Nexla has raised $33.5 million in funding.