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

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

Lightspeed Venture Partners is a venture capital firm that engages in consumer, enterprise, technology, and cleantech markets. It focuses on seed, early-stage, later-stage, expansion-stage, start-ups, growth companies, and incubation, and specializes in debt financing for start-ups and growth companies. Lightspeed Venture Partners invests in various sectors that include enterprise, consumer, big data, bitcoin, enterprise technology, cleantech, mobile, internet, financial technology, cloud solutions, e-commerce, storage, media, networking, energy, and software, software-as-a-service, information technology, biotechnology, and social.

Lightspeed Venture Partners

Cisco Investments is an active investor with more than 40 investment professionals with deep market and technology expertise located in major geographies, including US, Canada, China, India, Israel, and Europe. Over the last 20 years, Cisco Investments has invested in hundreds of companies across different segments and helped them build to successful IPOs or acquisitions. They currently have an active portfolio of $2B with over 80 direct investments around the world, and they also hold Limited Partner positions in over 35 funds globally.

Cisco Investments

Insight Partners is a global software investor that partners with growth-stage technology and software companies. Insight has a deep focus in Fintech, Cybersecurity, AI/ML, DevOps, and Healthcare sectors. Across their people and their portfolio, they encourage a culture around a core belief growth equals opportunity. As of December 31, 2022, the firm has over $75B in regulatory assets under management. Insight Partners has invested in more than 750 companies worldwide and has seen over 55 portfolio companies achieve an IPO.

Insight Partners

Scale-Up is a venture capital firm based in Palo Alto, California. We focus on investing in late and growth-stage companies in artificial intelligence, fintech, real-estate tech, data and analytics, next-generation infrastructure, online to offline sectors, and the sharing economy. Scale-Up’s experienced team of managing and venture partners have invested in nearly 100 technology companies from seed to growth stage, a number of which have since become unicorns and decacorns.

Scale-Up

Sapphire is a global software venture capital firm with more than $11 billion in AUM and team members across Austin, London, Menlo Park and San Francisco. For over a decade, Sapphire has partnered with visionary management teams and venture funds to back companies of consequence. Since its founding, Sapphire has invested in more than 170 companies globally resulting in more than 30 Public Listings and 45 acquisitions. The firm’s investment strategies — Sapphire Ventures, Sapphire Partners and Sapphire Sport — are focused on scaling companies and venture funds, elevating them to become category leaders. Sapphire’s Portfolio Growth team of experienced operators delivers a strategic blend of value-add services, tools and resources designed to support portfolio company leaders as they scale.

Sapphire Ventures

Adams Street Partners is a global private market investment management firm that offers comprehensive solutions for its investors. As one of the independent, employee-owned firms, Adams Street has established a reputation for strong performance, an extensive knowledge base, and a disciplined investment approach that values quality over quantity. For more than 45 years, Adams Street has gained the experience to successfully manage through some of the most challenging investment cycles. The collective knowledge of the Adams Street team works collaboratively to leverage the global resources of the Firm in navigating the complexities of private markets. Its mission as a premier private markets investment manager is to provide world-class investment performance and maintain the confidence of our investors through our deep understanding of the global private marketplace and deliver exemplary client service.

Adams Street Partners

StepStone provides investment services to institutional investors focused on achieving excess net (after fees) risk-adjusted private equity returns. StepStone builds private equity portfolios by accessing the market through a combination of fund investments, co-investments, and secondary purchases.

StepStone Group

DTCP is an investment management firm focused on growth equity and digital infrastructure. Founded in 2015, the firm has raised more than $1 billion in funds from corporate and institutional investors and invested in over 60 companies. DTCP Growth invests in enterprise application and infrastructure software companies. DTCP Infra invests in mobile access, fiber, and data center infrastructure.

DTCP

Dremio

Dremio is a data lake engine that offers tools to help streamline and curate data. It accelerates analytical processing for BI tools, data science, machine learning, and SQL clients, learns from data and queries and makes data engineers, analysts, and data scientists more productive, and helps data consumers to be more self-sufficient. Jacques Nadeau and Tomer Shiran founded the company in 2015 in Mountain View, California.

Dremio is a data lakehouse platform company that provides solutions for self-service analytics and data management. Its platform offers i) Sonar, an SQL engine for open data platforms, and ii) Arctic, an intelligent metastore for Apache Iceberg. The platform also includes features that automatically update materialized views and aggregations when changes occur in the base Iceberg tables. It also speeds up the retrieval process by storing frequently accessed query results and supports seamless data loading from Amazon S3 to Iceberg tables. The company offers its services through a freemium, usage-based model.

Data Infrastructure & Analytics

Dremio Solidifies its Leadership Position as the #1 Engine for Apache Iceberg, Achieves Unprecedented Momentum in 2024

Dremio is a data lakehouse platform company that provides solutions for self-service analytics and data management. Its platform offers i) Sonar, an SQL engine for open data platforms, and ii) Arctic, an intelligent metastore for Apache Iceberg. The platform also includes features that automatically update materialized views and aggregations when changes occur in the base Iceberg tables. It also speeds up the retrieval process by storing frequently accessed query results and supports seamless data loading from Amazon S3 to Iceberg tables. The company offers its services through a freemium, usage-based model.In December 2023, Dremio <a href="https://sp-edge.com/updates/24955">launched</a> a GenAI-powered data discovery feature to simplify data contextualization and analytics, building on previously developed text-to-SQL capabilities to provide in-depth business context and minimize manual tasks. The company also announced in parallel that it was expanding its analytics engine for the open-table Apache Iceberg format, allowing users to convert multiple databases into the format with a single click.Key customers and partnershipsAs of September 2024, its key customers included Amazon, Adobe, Bentley, Carter's, and Bose.

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

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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

<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.
 
 
 
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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>

 Dremio, a platform providing data analytics, visualization, and storage, has introduced new features aimed at improving query performance on Apache Iceberg tables.
 These new features are 1) Live Reflections that automatically update materialized views and aggregations as changes occur in base Iceberg tables; 2) Result Set Caching which accelerates retrieval by storing results from frequently accessed queries; and 3) Auto Ingest Pipes which facilitate seamless data loading from Amazon S3 to Iceberg tables. Additionally, a feature called merge-on-read has been added to boost the speed of Iceberg table writes and ingestions.
 According to Dremio, these features can greatly enhance query performance. Specifically, Result Set Caching can potentially boost response speeds by up to 28x across a range of data sources. The merge-on-read feature, meanwhile, could enhance the speed of Iceberg table writes and ingestions by up to 85%. The aim of these updates is to streamline data movement as well as make the establishment and management of data pipelines more efficient for organizations.
 
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Dremio

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