Crane is a London based VC firm investing and building seed and early stage intelligent enterprise and deep technology businesses across Europe. Our strategy is to support founders in building and executing their go-to-market strategy.

Crane Venture Partners

CRV has been an investor in technology companies for almost half a century. The firm has backed nearly 400 startups in its 47-year history, including foundational companies like Twitter, Zendesk, Amgen, Hubspot, Parametric Technologies, Yammer, EqualLogic, and Sonus Networks. Half of the companies CRV has backed have gone public or been acquired. The firm focuses on enterprise, consumer, and deep-insight bioengineering.

Singular is a generalist venture capital firm backing ambitious European entrepreneurs.

Singular

Balderton Capital is a Venture Capital Investor that supports technology businesses. They support Founders at every stage of their journey. They provide advice, introduce portfolio leaders to professional service providers, and invite portfolio leaders to workshops and community events where they can meet one another.

Balderton Capital

Tinybird

Tinybird helps developers and data teams build data products over analytical data, at any scale. The platform is helping businesses realize the full potential of their data at any scale by turning it into real-time insights, actions, and business value. ​​Developers can build data products that make use of our low-latency, high-concurrency APIs - in minutes, not weeks, using the tools they already know: SQL and APIs. The Tinybird platform is used by start-ups through global enterprises including Vercel, The Hotel Network, and Keyrock.

Tinybird is a real-time analytics platform that enables developers and data teams to build data products and applications powered by real-time analytics. It ingests data from various sources such as CSV files, data streams (like Apache Kafka), and data warehouses (like Amazon Redshift, Google BigQuery, and Snowflake). Tinybird utilizes ClickHouse as its primary data store, allowing it to process millions of rows per second while delivering low-latency and high-concurrency performance.

Data Infrastructure & Analytics

Tinybird closes $30M round led by Balderton Capital. Participants include CRV, Singular and Crane

Tinybird is a real-time analytics platform that enables developers and data teams to build data products and applications powered by real-time analytics. It ingests data from various sources such as CSV files, data streams (like Apache Kafka), and data warehouses (like Amazon Redshift, Google BigQuery, and Snowflake). Tinybird utilizes ClickHouse as its primary data store, allowing it to process millions of rows per second while delivering low-latency and high-concurrency performance.The platform offers a user-friendly interface for querying and transforming data using SQL. It introduces the concept of "Pipes," which break down complex queries into a chain of composable SQL nodes, making it easier to understand and optimize performance. Tinybird also provides a templating language that extends the capabilities of SQL, allowing dynamic and parameterized queries.Once the data is transformed, developers can instantly publish their SQL queries as RESTful API endpoints with a single click or CLI command. These APIs automatically include OpenAPI documentation and built-in observability dashboards for monitoring performance and usage. In June 2024, Tinybird joined the AWS Independent Software Vendor (ISV) Accelerate Program, enabling them to leverage AWS infrastructure and tools to enhance their real-time analytics solutions further.Key customers and partnershipsCanva used Tinybird for real-time analytics, choosing it for its ease of use, performance, and developer experience. This enabled Canva to create features like Creator Insights and Brand Reports, significantly reducing costs and accelerating development. In November 2023, Tinybird partnered with AWS Marketplace, simplifying deployment and billing for Pro and Enterprise plans. It integrated with AWS services such as Amazon S3, Amazon Kinesis, and Amazon DynamoDB, enabling users to unify batch and streaming data.

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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 Tinybird, a platform for real-time data analytics, has garnered a funding of USD 30 million in a Series B round. The round, led by Balderton Capital, saw participation from current investors CRV and Singular Ventures. The funds raised so far have escalated the company's valuation to USD 240 million.
 The company aims to utilize the newly raised funds for fostering its growth, enhancing its product range, and broadening its global existence. This will facilitate it in simplifying real-time user-centric analytics for engineering and data teams across the globe.
 Founded in 2019, Tinybird operates from Madrid and New York. The platform aids businesses in developing real-time user-centric applications. It assimilates data from diverse sources, morphs it through SQL, and publishes the transformed data as low-latency, high-concurrency RESTful API endpoints. The data can also be routed into downstream systems as sinks.
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Tinybird

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