Warsaw Equity Group (WEG) is an independent Warsaw-based private equity / venture capital firm focused on small market investments up to €10m, targeting companies offering innovative B2B solutions in the High-Tech/Industry 4.0 space. With a >20-year track record of successfully empowering business ventures, we use our own capital, expertise and network to be a supportive partner to our portfolio companies and maximise growth.  We invest between €1 million and €10 million in profitable (or about to be profitable), successful and fast-growing companies with a validated product portfolio and a highly-ambitious management team. Typically, these companies will be located either in Poland or in the wider CEE region and offer innovative B2B solutions in areas such as: AI, Big Data, IoT, Additive Manufacturing, System/process Integration, Cybersecurity, Simulations, Robotics, AR/VR and Environmental Tech.  The WEG team is passionate about investing and maximising the human capital and operational potential of our portfolio companies. Utilising a combination of our own significant investment, operational and strategic expertise and our network of contacts, we set up the right structure to support value creation activities and facilitate long-term profitable growth. As big believers in teamwork and collaboration we work proactively in partnership with managers to develop their skills and support their business development objectives.

Warsaw Equity Group

TQ Ventures is an early-stage venture firm led by Andrew Marks and Schuster Tanger. We manage over $1 billion in assets and are currently investing from our $500m Fund III. As generalists, we're agnostic to industry vertical and geography; instead, we're business model-driven and prioritize partnering with extraordinary founders building primarily software businesses. We're proud of the reputation we've earned in the founder community, which has come from our approach to partnership and our differentiated networks and support.

TQ Ventures

Lead Ventures is a Budapest-based venture capital firm, specialist of financing scale-ups in Central Europe. Its mission is to support the region’s most promising ventures with capital, experience and a wide-ranging professional network, enabling them to transform their industry with innovation.  Lead Ventures provides equity financing to companies in their scale-up phase, the typical ticket size is between EUR 2-10 million. Lead Ventures is searching for dynamic teams with a unique story, outstanding growth potential and solutions tested and validated by the market. The firm seeks to invest in companies operating in the mobility, energy and sustainability as well as b2b services and software sectors, however, Lead Ventures is open to support teams active in other areas as well. Lead Ventures has EUR 200 million under management invested by MOL, the most successful energy company in CEE, and two financial institutions specialised in supporting the startup ecosystem - the Hungarian Development Bank (MFB) and Eximbank.

Lead Ventures

4growth VC

Oxla

Meet Oxla, the world's fastest-distributed database, designed to handle large amounts of data with ease.  Our unique, simple structure allows 10x faster query execution than the current state-of-the-art solutions (e.g. Snowflake) and data infrastructure cost reduction by up to 70%. Our solution is perfect for companies processing large amounts of data in industries such as business intelligence, IoT, cybersecurity, ad tech, data science, or AI/ML coaching.

Poland-based Oxla is an OLAP (Online Analytical Processing) database system, which combines real-time and offline analytical capabilities into a single platform. The company’s database system integrates with existing technologies through PostgreSQL wire protocol and SQL dialect compatibility. The system also supports distributed storage solutions including AWS S3, Google Cloud Storage, and Azure Blob Storage, and advanced memory optimization techniques. The platform is designed to handle complex queries on large datasets through Massively Parallel Processing (MPP).

Generation Data Warehouse, Ready to Roll into Production!

What is Oxla, and why you should care

Oxla efficiency on Star Schema Benchmark

Oxla - Big Data Technology Warsaw Summit

Introducing the Oxla Migrator for Effortless Database Integration

oxla.io about page

Data Infrastructure & Analytics

Oxla: Distributed Analytical Database Company Closes $11 Million (Seed)

Oxla is a distributed analytical database designed to revolutionize data processing and analysis. Launched in 2023, Oxla offers a highly efficient and scalable solution for handling complex queries on large datasets. The platform supports the PostgreSQL wire protocol and a subset of PostgreSQL syntax, making it accessible to users familiar with this widely-used database system. Oxla's architecture focuses on cloud deployment, decoupling storage and compute to enable easy scalability and the use of cost-effective storage solutions like Amazon S3. The database is capable of processing both simple queries within milliseconds and complex queries over large datasets by efficiently shuffling data through the cluster. Oxla's implementation of JOIN operations is reported to be over six times faster than some competitors, while its GROUP BY implementation is about three times faster when aggregating large datasets. In November 2023, Oxla released its BETA version, marking its readiness for production use and introducing features like a new query planner, improved performance, and support for various SQL operations including cross joins, set operations, and advanced datetime handling.
Key customers and partnerships
Oxla has integrated with Amazon QuickSight, allowing users to add Oxla tables as PostgreSQL-compatible datasets for data visualization and dashboard creation. The platform supports the cached SPICE mode with incremental refreshes in QuickSight, with ongoing work toward full support in direct query mode. Oxla is also working on making its service available on the AWS Marketplace, indicating a strategic partnership with Amazon Web Services to expand its reach to potential customers.

Poland-based Oxla is an OLAP (Online Analytical Processing) database system, which combines real-time and offline analytical capabilities into a single platform. The company’s database system integrates with existing technologies through PostgreSQL wire protocol and SQL dialect compatibility. The system also supports distributed storage solutions including AWS S3, Google Cloud Storage, and Azure Blob Storage, and advanced memory optimization techniques. The platform is designed to handle complex queries on large datasets through Massively Parallel Processing (MPP).The company offers its services through a usage-based pricing model based on the deployment option.Key customers and partnershipsThe company primarily caters to the IoT, industrial applications, e-commerce, and cybersecurity industries.

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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 Oxla, a data warehousing solutions company, has secured USD 11 million in seed funding. The funding round was lead by TQ Ventures, and included contributions from Lead Ventures, Warsaw Equity Group, and 4Growth VC.
 The company intends to utilize the funds for boosting the commercialization and development of its products. Additionally, the funding will assist in expanding the company's market share and catering to the unmet demand in the data warehousing sector.
 Operating from Poland, Oxla specializes in developing an analytical database designed for processing substantial volumes of data. The firm asserts that its database technology boasts analytical query execution speeds that are 10x faster, and costs that can be up to 85% lower than those of its competitors. Oxla primarily provides services to industries pertaining to the Internet of Things (IoT), industrial applications, ecommerce, and cybersecurity.
 
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Oxla

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