Y Combinator is a startup accelerator that invests in a large number of startups twice a year. It created a new model for funding startups. Twice a year, the company invests a small amount of money ($150k) in a large number of startups. The startup accelerator works intensively with the companies for three months, to get them into the best possible shape and refine their pitch to investors. Each cycle culminates in Demo Day when the startups present their companies to a carefully selected, invite-only audience.

Y Combinator

Moonfire Ventures is a new company that is looking for early stage investment possibilities in Europe. The organization collaborates with the most innovative early-stage innovators to invest where our areas of expertise connect with global technological disruption.

Moonfire Ventures

Accel is an early and growth-stage venture capital firm that powers a global community of entrepreneurs. Accel backs entrepreneurs who have what it takes to build a business.  Accel’s vision for entrepreneurship and business enables it to identify and invest in the companies that will be responsible for the growth of next-generation industries. Accel-backed companies include Atlassian, Braintree, Cloudera, DJI, Dropbox, Dropcam, Etsy, Facebook, Flipkart, Lookout Security, MoPub, Qualtrics, Slack, Spotify, Supercell, Vox Media, and others.

Accel

Operator Partners invests in early-stage technology companies and founders. The firm was founded in 2020 and is headquartered in New York, United States.

Operator Partners

Shopify Ventures is the corporate venture capital arm of Shopify.

Shopify Ventures

Lightdash

Lightdash turns a dbt project into a full-stack BI platform. Analysts write metrics that the rest of the organization can use for true self-serve analytics.

Lightdash is an open-source Business Intelligence (BI) platform designed to work seamlessly with dbt (data build tool). It transforms dbt projects into full-stack BI solutions, enabling data teams to create user-friendly dashboards and reports accessible to everyone in an organization. Lightdash’s solution also enables companies to develop their own "AI analysts" specific to different use cases.&nbsp;

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Lightdash is an open-source business intelligence (BI) platform designed to transform dbt projects into full-stack BI tools. Founded in 2021, the company offers a solution that integrates seamlessly with dbt, allowing data teams to define metrics and dimensions within their existing dbt models. Lightdash provides a user-friendly interface for data exploration and visualization, enabling both technical and non-technical users to access and analyze data efficiently.
The platform's core functionality revolves around turning dbt projects into interactive dashboards and reports. It automatically creates dimensions from dbt models and syncs all dbt descriptions, making it easier for users to understand and work with their data. Lightdash offers features such as custom metrics creation, data filtering, and drill-down capabilities. Users can build custom dashboards with interactive charts, tables, and other visualizations, which can be easily shared with team members or external stakeholders.
Lightdash emphasizes developer-friendly workflows, providing tools like a command-line interface (CLI) and integration with version control systems. This allows data teams to use familiar development practices when working with analytics. The platform also supports a wide range of data sources, including popular data warehouses like Snowflake, BigQuery, and Redshift.

Lightdash is an open-source Business Intelligence (BI) platform designed to work seamlessly with dbt (data build tool). It transforms dbt projects into full-stack BI solutions, enabling data teams to create user-friendly dashboards and reports accessible to everyone in an organization. Lightdash’s solution also enables companies to develop their own "AI analysts" specific to different use cases.&nbsp;The company’s platform includes 1) Lightdash CLI for developers, enabling version control and CI/CD integration for analytics, 2) Self-serve analytics for non-technical users with an no-SQL exploration interface, and 3) AI-powered capabilities by leveraging natural language queries to interact with data, customizable to specific team needs and permissions.As of October 2024, the platform was integrated with Snowflake, Trino, Slack, PostgreSQL, Secoda, Metaplane, GitLab, Google Sheets, GitHub, Amazon RedShift, Bitbucket, Azure DevOps, and Databricks among others. Key customers and partnerships The company serves notable customers including Cardless, Farewill, Beauty Pie, Morning Brew, Anymove, Arca, Natch, Julie, Collectors, Servicetrade, Zigzag, and Copy.ai as of October 2024.

Fivetran is a cloud-based automated data integration platform that enables businesses to move data from various sources, including SaaS applications, databases, and files, into data warehouses, data lakes, and other destinations. The company's platform offers multiple deployment models to meet diverse business needs, ranging from stringent security requirements to maintaining on-premises databases even after partial cloud migration.The company's data movement platform is designed to automate and streamline the process of extracting, loading, and transforming (ELT) data, empowering organizations to focus on data-driven insights and decision-making. With real-time analytics, database replication, AI workflows, and cloud migrations facilitated by Fivetran, thousands of customers worldwide can leverage the platform to drive business growth.Fivetran's core offering revolves around its connector library, which supports over 500 data sources, including SaaS applications, databases, ERPs, and files. These connectors enable automatic, reliable, and secure data movement, regardless of whether the data resides on-premises, in the cloud, or in a hybrid environment. The platform's scalable architecture allows businesses to seamlessly add or remove data sources as their needs evolve.To enhance the usability and accessibility of the ingested data, Fivetran employs a normalized schema approach. By delivering data in a normalized format, the platform enables customers to remix and reshape the data according to their specific requirements, facilitating efficient data analysis and reporting. Additionally, Fivetran offers pre-built data models and dbt Core integration, empowering customers to create analytics-ready tables tailored to their business use cases, such as analyzing deal opportunities from Salesforce, generating general ledger reports from QuickBooks data, or evaluating return on ad spend across advertising platforms.In <a href="https://sp-edge.com/updates/30203">June 2024</a>, the company launched Managed Data Lake Service to simplify the process of managing data lakes for businesses of any size. Key benefits include the ability to centralize data for insights and convenience. Furthermore it reduces costs by discontinuing support for legacy data warehouses.Key customers and partnershipsOver the years, Fivetran has attracted a diverse range of customers across various industries, including ecommerce, finance, technology, and media. Notable clients include Autodesk, Conagra Brands, JetBlue, Lionsgate, Morgan Stanley, and Ziff Davis, among others. These companies leverage Fivetran's platform to streamline their data integration workflows, optimize their analytics capabilities, and gain a competitive edge through data-driven decision-making.To further enhance its offerings and enable seamless integrations, Fivetran has established strategic partnerships with various technology providers, including data warehousing solutions, cloud platforms, and business intelligence tools. For instance, Fivetran collaborates with Databricks, enabling customers to build an open lakehouse with Delta Lake powered by the Databricks Data Intelligence Platform. Additionally, Fivetran's integration with Unity Catalog provides out-of-the-box governance and security for Fivetran-generated tables.

Fivetran

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 Domo is a cloud-based analytics platform that enables businesses to connect, transform, and visualize data from various sources. It provides a comprehensive solution for data management, analysis, and visualization, empowering organizations to make data-driven decisions. Domo's platform is designed to foster collaboration, efficient decision-making, and improved business outcomes through its user-friendly interface and powerful data manipulation capabilities.
 
 
 Domo's key offerings include data integration, data warehousing, business intelligence (BI), and intelligent applications. The platform leverages its Adrenaline engine and offers over 1,000 pre-built connectors to extract data from cloud applications, databases, spreadsheets, and other sources. This data is then stored in Domo's internal data warehouse or accessed through federated queries, enabling users to analyze and visualize it using Domo's extensive collection of visualization tools and dashboards.
 
 
 Domo&rsquo;s user experience is designed to be intuitive and accessible, fostering high adoption rates across organizations. Its user-friendly interface, seamless collaboration features, and mobile-first approach contribute to its widespread adoption and ease of use. Domo's platform is built for speed and scalability, allowing organizations to quickly access and analyze even large datasets without experiencing performance issues.
 
 
 Key customers and partnerships
 
 
 Domo serves over 2,300 customers across various industries, including major enterprises such as eBay, Walmart, Cisco, Citibank, HP, The National Geographic Society, Verizon, US Army, Vanguard, Microsoft, IBM, Thomson Reuters, Airbus, Orange, AT&amp;T, Caterpillar, Volvo Cars, and Comcast.
 
 
 The platform has been widely adopted by organizations seeking to leverage data for better decision-making, improved customer insights, and enhanced marketing analytics. Domo has formed strategic partnerships with companies like Regional One Health and Torchy's Tacos, enabling them to leverage Domo's capabilities for healthcare metrics and finance applications, respectively.
 
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Domo

Founded in 2014, Confluent, Inc. is a technology company headquartered in Mountain View, California. The company specializes in data streaming platforms, primarily based on Apache Kafka, an open-source project created by Confluent's founders while working at LinkedIn. Confluent offers two main products: Confluent Platform, an on-premise solution, and Confluent Cloud, a fully managed SaaS. These products help organizations harness real-time data streams for various applications, including microservices, Internet of Things (IoT), financial services, fraud detection, and customer analytics.Confluent's primary offering in data infrastructure services is its integration solution, which enables organizations to unify data from disparate sources. The Confluent Platform and Confluent Cloud act as clients' central nervous systems, allowing them to connect various IT systems and applications to capture and process real-time data streams. This capability enables businesses to make decisions based on continuously flowing data.In September 2024,&nbsp;<a href="https://sp-edge.com/updates/33818">Confluent announced upgrades to its Confluent Cloud</a> product, enhancing support for Apache Flink. The updates include support for the Table API, simplifying development for Java and Python users, and private networking support to improve data security. These upgrades aimed to simplify Flink deployments, enhance security, and make it easier for organizations in regulated industries to stream data and integrate it into applications.Key customers and partnershipIn December 2023, Confluent expanded partnerships with MongoDB, Pinecone, Rockset, Weaviate, and Zilliz as part of its "Data Streaming for AI" initiative. These partnerships aimed to provide real-time contextual data from Confluent's platform to partners' vector databases, facilitating the development of AI-powered applications.

Confluent

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 dbt Labs provides an open source data transformation tool that uses analytics engineering. It is aimed at programmers with knowledge of SQL to develop models with SELECT statements, test and document each model, and install safely with Git-enabled version control. The software enables the user to develop faster, work from the same assumptions, deploy with confidence, and&nbsp; ensure low risk with governance and safety. The company also offers dbt Core, which is an open source software for analytics engineers, and dbt Cloud Enterprise for secure, reliable access to data. JetBlue and Domain are some of its clients.
 
 
 
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dbt Labs

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 Starburst uses the open source Trino to give its customers a modern solution in the form of one of the fastest analytics search engines, with reliable security, around the clock support and connectors. The platform offers Starburst Enterprise, an option that allows users to deploy, connect, and manage data anywhere, and Starburst Galaxy, which provides a superior MPP SQL engine on an easy to use platform. Some of Starburst&rsquo;s customers are EMIS, Zalando, Finra and Priceline. The company also works with consultancy partners, cloud partners, technology partners, and managed service provider partners.
 
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Starburst

Solutions to unify data from disparate sources by extracting, transforming, loading, and storing data in a usable form (such as in data warehouses) for further analysis.

Tools to monitor data for quality issues in real-time, as it moves throughout the data pipeline.

Providers of storage solutions that help accelerate data analytics. These include primary storage solutions, such as data warehouses and data lakes, and secondary storage solutions for non-mission-critical data.

Solutions that enable businesses to carry out data processing and create ML models on the underlying data for predictive analysis.

Tools for enterprises to visualize data in a graphical form and obtain insights on the same using AI and natural language processing.

Companies that use GenAI as a core part of their product offering for data infrastructure & analytics.

Leverages GenAI to help organizations extract insights and supports GenAI application development through data preparation

Offers data analytics and storage platforms for business under a B2B SaaS model

These are tools that help prepare data for AI/ML applications

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 Data analytics provider, Lightdash, has managed to raise USD 11 million in a Series A funding round. The funding round was led by Accel and included contributions from Shopify Ventures, Operator Partners, Y Combinator, and Moonfire. The new influx of funds has brought the total amount of funding the company has received to USD 19.4 million.
 The company intends to use these funds to introduce new feature developments such as the AI Analyst service and data catalog. Additionally, they aim to improve integrations and workflows, while also expanding their team across the US and Europe in the fields of engineering, marketing, analytics engineering, and sales.
 Lightdash provides a solution constructed for data build tool (dbt), which is an open-source command-line-based data transformation tool utilizing SQL to turn raw data into structured datasets ready for analysis. The company’s solution allows businesses to train "AI analysts" for various use cases. Over the last two years, Lightdash reports that its user base has grown over 50 times in size.
 
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Lightdash

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