TGFS - Technologiegruenderfonds Sachsen is an early stage VC fund targeting high tech startups with strong growth potential. The fund invests into ventures located in Saxony/Germany, Europe's leading semiconductor cluster.   The team has invested into more than 120 companies so far, including more than 40 investments from the current fund.

TGFS - Technologiegründerfonds Sachsen

The seed investor High-Tech Gründerfonds (HTGF) finances tech start-ups with growth potential and has supported more than 700 start-ups since 2005. With the launch of its fourth fund, HTGF now has about 1.4 billion euros under management. Its team of experienced investment managers and start-up experts support young companies with expertise, entrepreneurial spirit and passion. HTGF’s focus is on high-tech start-ups in the fields of digital tech, industrial tech, life sciences, chemistry and related business areas. To date, external investors have injected about 5 billion euros of capital into the HTGF portfolio via more than 2,000 follow-on financing rounds. In addition, HTGF has already successfully sold shares in more than 170 companies. Fund investors in this public-private partnership include the German Federal Ministry for Economic Affairs and Climate Action, KfW Capital and 45 companies from a wide range of industries. Fund investors in this public-private partnership include the German Federal Ministry for Economic Affairs and Climate Action, KfW Capital and 45 companies from a wide range of industries.

HTGF | High-Tech Gruenderfonds

Data Virtuality

Data Virtuality offers two products to flexibly solve data integration and management problems in a tailored way that best suits data teams in the fast-paced world of data. Data Virtuality Platform - Data Virtualization for Flexible Data Architectures By uniquely combining data virtualization and data replication, Data Virtuality Platform provides data teams the flexibility to always choose the right method for the specific requirement. It is an enabler for Data Fabric and Data Mesh by providing the self-service capabilities and data governance features that are indispensable for these frameworks. Enterprises around the world, such as BSH, PGGM, PartnerRe, Crédit Agricole, and Vontobel use the Data Virtuality Platform to build modern data architectures that meet today’s and tomorrow’s business requirements. Pipes - Easy and Reliable Data Replication With Pipes, anyone can build data pipelines from 200+ available sources to a data warehouse with just a few clicks. Fully automated and without any coding. Many businesses from the E-Commerce and Marketplace space, as well as Marketing Agencies, choose Pipes to always have fresh data at any time. With Pipes Professional, data teams can additionally build their custom data pipelines with SQL and make use of job dependencies as well as advanced replication types. Imprint: https://datavirtuality.com/imprint/ Imprint: https://datavirtuality.com/imprint/

Data Virtuality is a Leipzig, Germany-based company specializing in data integration solutions aiming to enable businesses to fully leverage their data. The company’s platform is designed to act as a single source of truth to help connect and manage an organization’s data.

Data Infrastructure & Analytics

Updata Partners on LinkedIn: Big news! CData Software has acquired Data Virtuality. Data integration…

Data Virtuality is a Leipzig, Germany-based company specializing in data integration solutions aiming to enable businesses to fully leverage their data. The company’s platform is designed to act as a single source of truth to help connect and manage an organization’s data.This platform offers a combination of data virtualization and extract, load, and transform (ETL) technologies, allowing users to transform existing data into a useful, flexible resource. Data Virtuality's product automatically collects and collates data from various sources and creates a customer-tailored data warehouse. The company claims its solution enables real-time access to the latest company data, reducing manual effort, implementation time, and costs compared to available market technologies​​​​​​​​.Key customers and partnershipsAs of November 2023, Data Virtuality claims a customer base numbering 100+ globally across financial services (Credit Agricole, Areeba, Renew Financial, PGGM), retail and ecommerce (Albelli), healthcare (Swanson Health), and telecommunications.The company also operates a partnership program and has partnered with a variety of vendors and technology companies to expand the reach and capabilities of its product. In November 2023, Data Virtuality’s list of partners and integrations included Collibra, Spryker, PlainID, Theobald Software, AWS, Areto, and Hopmann Marketing Analytics.

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

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 Confluent streams real-time data to its customers via its data processing system software, Apache Kafka. This system is a publish-subscribe distributed messaging system that receives data and makes it available in real time to target systems. Using Apache Kafka, Confluent provides its customers a complete cloud native platform for data to be accessed anywhere. Its products are the Confluent Cloud, which has pricing options for every budget, and the Confluent Platform, a self-manageable platform. The company has office locations in the US and UK.
 
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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.

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

Data Virtuality

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