Redpoint has partnered with visionary founders to create new markets and redefine existing ones since 1999. The firm invests in startups across seed, early, and growth phases. In total, Redpoint manages $4 billion across multiple funds.

Redpoint

Norwest is a venture capital and growth equity investment firm that specializes in venture and growth equity companies. Since its inception, it has invested in more than 600 companies and partnered with over 140 active companies across our venture and growth equity portfolio. The firm invests in early to late-stage companies across a wide range of sectors with a focus on consumer, enterprise, and healthcare. It offers a deep network of connections, operating experience, and a wide range of impactful services to help CEOs and founders scale their businesses.

Norwest Venture Partners

Madrona Venture Group is a Seattle-based venture capital firm. The firm prefers to invest in businesses that are involved in information technology, e-commerce, digital media, advertising, software, gaming, data, analytics, mobile, and infrastructure.

Madrona

Amplify Partners invests in technical founders solving technical problems for the enterprise. They invest in early-stage companies pioneering novel applications in machine intelligence and computer science.

Amplify Partners

Eastlink Capital is a Menlo-Park based venture capital firm with the current fund focusing on AI infra and applications.  Our investment thesis focuses on identifying exceptional founders with unique technologies that solve critical problems in huge markets with 10x better performance and lower cost. We differentiate ourselves by leveraging domain expertise in product/tech to identify winners before signals become clear. We are highly experienced in cross-border activities and have track records of helping our portfolio companies, including financing, recruiting and going to markets particularly in Asia.

Eastlink Capital

Pre-seed/seed fund writing first checks into engineer-led enterprise startups focused on data technologies (AI/ML/deep learning/data infra)

Zero Prime Ventures

We invest in pre-seed and seed stage companies in AI/ML infra, open-source, cybersecurity and Vertical AI/SaaS.

Firestreak Ventures

Andreessen Horowitz is a venture capital firm specializing in investing in seed, start-ups, early, mid-stage, growth, and late-stage. It prefers to invest in the social media business and technology sector with a focus on software, back-end infrastructure, the infrastructure of the Internet, cloud computing, enterprise software and services, consumer, business Internet, mobile-Internet, consumer Internet, cloud computing, data storage, social network browsers data-storage, consumer electronics, networking functions, software related biology, biotech, and medicine companies at the intersection of computer science and life sciences with a focus on digital therapeutics, cloud technology in biology, and computational medicine.

Andreessen Horowitz

SV Angel is a service organization, investing in founders who share these values. They support entrepreneurs in building lasting companies by assisting at key inflection points and leveraging networks to help them propel their businesses forward.

SV Angel

Altimeter Capital is a technology-focused investment firm based in Menlo Park, CA and Boston, MA.  Altimeter manages a long/short public equity fund and growth-stage private capital funds.

Altimeter Capital

Felicis Ventures is a venture capital firm based in Menlo Park, California. The firm invests in seed through Series C stage companies across multiple sectors and industries reinventing core markets, as well as those creating frontier technologies. Felicis currently manages over $2B in capital across 8 funds. The firm is an early backer of more than 40 companies valued at $1B+. More than 90 of its portfolio companies have been acquired or gone public since the firm was founded by Aydin Senkut in 2006.

Felicis

Altimeter provides research and advisory for companies challenged by business disruptions, enabling them to pursue new opportunities and business models.  We share our independent research on business disruptions via research reports, webinars, speeches, and more. We also offer advisory services to business leaders who wish to explore the specific implications of these disruptions within their organizations. The Altimeter Difference Research-Based: Our methodologies and best practice recommendations are based on both quantitative and qualitative research. Holistic Approach: Our strategy examines both engagement with external audiences, and internal process and technology development required to ensure success. Experience: Our analysts each have years of experience in deployment on the buyer side or as analysts at other firms.

Altimeter

MotherDuck

MotherDuck provides data infrastructure and analytics for both small and big data. The company combines DuckDB's elegance and speed with the collaborative and scalable capabilities of the cloud to offer a serverless, user-friendly analytics platform suitable for both small and large datasets.

MotherDuck provides a serverless analytics platform built on DuckDB, an open-source in-process database for analytics workloads. The platform combines local computing power with cloud capabilities through a hybrid execution model that enables users to analyze data regardless of its location. The technology allows seamless joining of local and cloud-based data, with the system automatically routing query execution to optimal locations. MotherDuck's platform includes features such as a web notebook interface, SQL auto-complete, database sharing capabilities, and hybrid query planning. The system caches query results locally to improve performance for repeated analyses. The company moved out of beta and launched general availability in June 2024. As of September 2023, the platform had approximately 2,000 users.

The innovative cost dynamics of serverless computing allow more customers onto the cloud without breaking the bank.

Serverless Computing

MotherDuck provides data infrastructure and analytics for both small and big data. The company combines DuckDB's elegance and speed with the collaborative and scalable capabilities of the cloud to offer a serverless, user-friendly analytics platform suitable for both small and large datasets.

Data Infrastructure & Analytics

MotherDuck Announces Beta Release of pg_duckdb; Brings DuckDB's Analytics Power to PostgreSQL Users

MotherDuck provides a serverless analytics platform built on DuckDB, an open-source in-process database for analytics workloads. The platform combines local computing power with cloud capabilities through a hybrid execution model that enables users to analyze data regardless of its location. The technology allows seamless joining of local and cloud-based data, with the system automatically routing query execution to optimal locations. MotherDuck's platform includes features such as a web notebook interface, SQL auto-complete, database sharing capabilities, and hybrid query planning. The system caches query results locally to improve performance for repeated analyses. The company moved out of beta and launched general availability in June 2024. As of September 2023, the platform had approximately 2,000 users.
Key customers and partnerships
MotherDuck has established partnerships with over 50 technology providers across the modern data stack. Notable partners include Tableau, PowerBI, Fivetran, Monte Carlo, Hex, Astronomer, dbt Core, and LangChain. The company's technology is being used by organizations such as Dexibit and SaaSWorks. In June 2023, MotherDuck announced integrations with several companies including Cube, dltHub, Evidence, GoodData, Kestra, Metabase, InfinyOn, LlamaIndex, Sling, Streamlit, and Voltron Data. Major technology companies including Google, Facebook, and Airbnb have adopted the underlying DuckDB technology.

Investing in MotherDuck

MotherDuck serverless analytics platform wins $52.5M funding

MotherDuck Announces General Availability; Brings Simplicity and Power of DuckDB in a Serverless Data Warehouse

Seattle startup MotherDuck raises $52.5M at a $400M valuation to fuel DuckDB analytics platform

MotherDuck Raises $47.5 Million to Make Analytics Fun, Frictionless and Ducking Awesome

MotherDuck: Ducking Simple Data Warehouse based on DuckDB

MotherDuck Announces 1st Release of Next-Gen Cloud Analytics Platform After Raising $47.5M

MotherDuck Raises $52.5 Million Series B Funding as DuckDB Adoption Soars

MotherDuck’s Hybrid Query Execution Enhances Real-Time Data Analytics

MotherDuck Announces First Release of Next Generation Cloud Analytics Platform Following $47.5M Raise

VCs lay $52.5M golden egg for MotherDuck's serverless analytics platform

MotherDuck Introduces Cloud Analytics Platform Based on DuckDB for Small and Large Organizations

MotherDuck launches its DuckDB-based cloud analytics platform

Announcing MotherDuck: Hybrid Execution Scales DuckDB from your Laptop into the Cloud

Triggermesh’s platform allows users to create serverless apps that integrate multiple cloud, data center, and on-premise software and environments, on top of Kubernetes. Through these integrations, the platform aims to break “silos” between enterprise customers and their software development and IT operations (DevOps) teams. The cloud and infrastructure integration development speed is reportedly enhanced by reusing connectors and customizable templates.In March 2022, the platform announced broad support for KNative (an open-source platform to build and deploy serverless workloads) which includes any conformant Knative deployment, along with the provision of Knative distribution. TriggerMesh also announced broad support for creating event-driven architecture that runs on Kubernetes in Google Cloud, to enable users to create integrations to sync data or drive event-driven workloads. Triggermesh went on to launch a service to enable enterprises using Kubeless migrate to Knative in May 2022.

Triggermesh

Iron.io offers multiple tools to assist development operations (DevOps) to focus on core tasks, without managing infrastructure. The company entered the serverless computing market in 2016, with the launch of IronFunctions, effectively an open-source platform that can be used by developers and uses containers as the base. It allows users to launch serverless applications and functions on private and public clouds, on-premise servers, and hybrid environments. IronFunctions can be written in a variety of programming languages including Ruby, PHP, Python, Java, Node.js, Go, and .NET. However, the company currently only provides helper libraries and integration with Amazon Web Services (AWS) Lambda.The company has expanded its operations since 2017 by adding an office in Tokyo, expanding its engineering and customer success teams, and continuing to improve the company’s products (bug fixes, improvements to internal tooling, and adding concurrency graphs, etc.). Iron.io looks to continue ramping up the development of its products by improving performance and reliability and developing a new user interface.Iron.io also continues to invest in new cutting-edge technologies such as “Computerless,” which eliminates the physical machine altogether and allows for it to be fully encapsulated in fiber optic cable.Key customers and partnershipsIts key customers include Google, Harry’s, Philips, Whole Foods, Veritone, and Counsyl.

Iron.io

Elotl offers the “Elotl Milpa” serverless platform to deploy Kubernetes (container orchestration system) apps on the cloud (mainly AWS, Google Cloud, Azure cloud, and Oracle cloud). It allows users to run their Kubernetes workloads in a cost effective manner (around 60%-80% cost savings relative to traditional offerings), avoiding vendor lock-in, Its offering also includes multi-tenancy security.Key customers and partnershipsAs of January 2022, its customers included Robinhood, Ronin, and Symphony, among others.In the year leading to November 2021, deployments through Elotl expanded 5x YoY, and the company became a founding member of the “Mobile Native Foundation” (a space for developers to collaborate on open source projects and discuss topics).

Elotl

ServerlessOps offers DevOps transformation advisory services, focusing on Amazon Web Services (AWS) serverless technology. The firm covers both technical training as well as implementation engineering. ServerlessOps claims it focuses on promoting AWS usage, as it believes AWS Lambda has the best combination of runtime and range of cloud services.

ServerlessOps

Sparta is an open-source framework for building and deploying Go microservices on AWS Lambda-powered microservices. It allows developers to define their application logic, AWS infrastructure, operational metrics, alert conditions, and security policies using Go types within a monorepo. Sparta transforms a Go application into a self-deploying AWS Lambda service, automatically provisioning the required infrastructure through CloudFormation.It integrates with various AWS services, including DynamoDB, S3, Kinesis, SNS, SES, CloudMap, CloudWatch Events, CloudWatch Logs, and Step Functions. It also allows provisioning custom AWS resources and defining IAM roles with limited privileges to minimize the service's attack surface. Sparta emphasizes security and operational best practices as first-class goals.One of Sparta's key features is its ability to discover dynamically created AWS resources at runtime, eliminating the need for hard-coded ARNs in the codebase. This promotes an immutable infrastructure approach. The framework aims to discourage the deployment of monolithic applications as Lambda functions, instead favoring a microservices architecture.

Sparta

This includes all serverless software which does not fall into the other categories but are related to the serverless market (e.g serverless based database providers).

Software and services that monitor, optimize, and enable integrations to improve performance.

Businesses and organizations helping programmers transition to serverless platforms by reducing client dependency on vendor-specific offerings.

Businesses that fill in knowledge gaps between clients and serverless vendors for developing and running complex apps and programs.

Vendor platforms such as AWS Lambda and Azure Functions used by clients to run their program. Effectively the infrastructure for serverless computing.

Serverless database providers offer infrastructure for running Gen AI models

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.In September 2024,&nbsp;<a href="https://sp-edge.com/updates/33748">Fivetran introduced "Hybrid Deployment",</a> allowing customers to run data pipelines within their environment while managing them through Fivetran's platform. This solution enables enterprises to securely centralize data from various sources, including cloud-based SaaS apps and legacy databases. Fivetran claims Hybrid Deployment offers full visibility of all pipelines from a single interface, enhanced data security, and simplified setup and maintenance.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

<div>
 
 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.
 
</div>

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

<div>
 
 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.
 
 
 
</div>

dbt Labs

Starburst provides an analytics engine that enables organizations to access and analyze distributed data without moving it from its source location. The company's platform is built on Trino (formerly known as Presto), a distributed SQL query engine designed for running interactive analytics queries across various data sources. The platform allows users to query data across multiple databases, data lakes, and data warehouses simultaneously, eliminating the need for costly and time-consuming data centralization. In February 2023, Starburst introduced Warp Speed, a smart indexing and caching solution that accelerates queries up to 7x faster by autonomously identifying and caching frequently used data. The company's software includes two main offerings: Starburst Enterprise for self-managed deployments and Starburst Galaxy, a Software-as-a-Service (SaaS) solution launched in 2021 that enables data lake and cross-cloud analytics. In February 2022, Starburst reported tripling its customer base and annual recurring revenue in the previous 12 months.
Key customers and partnerships
Starburst's platform is used by organizations including Zillow, Standard Chartered, Carrefour Brazil, Comcast, DoorDash, VMware, and Condé Nast. The platform helped Priceline reduce data storage costs by 5-10x while AssuranceIQ achieved a 10% increase in conversion rates. Starburst had established partnerships with major cloud platforms including AWS, Azure, Google Cloud Platform, Alibaba Cloud, Red Hat, and HPE. The company also partnered with Red Hat as one of the inaugural members of the Red Hat OpenShift Data Science ecosystem.

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

PROMINENT_CATEGORY

<div>
 
 MotherDuck, a serverless data analytics platform, has introduced pg_duckdb, a PostgreSQL extension. This extension integrates the analytics engine of DuckDB into PostgreSQL databases.
 This open-source extension was developed jointly by Hydra and DuckDB Labs. It's currently in its beta phase and can be accessed via a pre-constructed Docker image.
 The extension allows organizations to execute analytical queries along with transactional workloads. It enables users to query data directly from data lakes and lakehouses, such as AWS S3, and operate with columnar file formats like Parquet and Iceberg. Furthermore, users can scale their analytics workloads using the cloud resources provided by MotherDuck.
 
</div>

MotherDuck

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