Despite the challenges caused by the COVID-19 pandemic and increasing economic uncertainty, new startups are founded every day. To introduce you to 5 recently founded startups, we analyzed 2.146 data management startups in total. All of them develop innovative solutions spanning from organic data management to cloud data warehousing and data governance.
The 5 promising data management startups you should watch in 2021 were hand-picked based on our data-driven startup scouting approach, taking into account factors such as location, founding year, and relevance of technology, among others. The 2.146 companies that were analyzed for this report are identified using the StartUs Insights Discovery Platform, covering 1.379.000+ startups & scaleups globally. When you are looking for up-to-date data management solutions for your innovation units, R&D, or product development department, the StartUs Insights Discovery Platform gives you the most exhaustive collection and ensures you continuously discover new startups, scaleups, and technologies.
Global Startup Heat Map: 5 Data Management Startups to Watch in 2021
The Global Startup Heat Map below highlights 5 data management startups, developing technology-driven solutions across industries. Moreover, you can explore global hotspots for data management startups and even download this graphic to include in your next presentation.
Datance develops Organic Data Management
The traditional approach to database creation requires careful engineering and deliberate schema design. Startups develop organic data management solutions to introduce flexibility in data analytics. These solutions are designed to evolve when new data types are stored, thereby facilitating data management in a code-free environment.
Datance is a US-based startup developing an organic data management platform. The startup’s platform supports connection with databases, as well as enterprise resource planning (ERP) and customer relations management (CRM) platforms. The startup’s solution covers all processes from data acquisition to analytics, allowing for end-to-end automation. Additionally, Datance develops its proprietary ClairUI framework for interactive visualizations and intuitive user experience (UX).
Aqtiva works on a Data Quality platform
Bad data quality negatively impacts business decisions and harms cooperation with clients and partners. To address this, startups develop data quality solutions that ensure data accuracy and integrity. These solutions apply data quality rules before data storage, saving time on manual cleaning and preparation.
Spanish startup Aqtiva offers a data quality platform to individuals and enterprises. The startup applies machine learning (ML), predictive analytics, and big data using software such as Spark and Kafka, to implement data governance processes. Aqtiva identifies and eliminates bad data before it enters storage systems. It maintains data quality and reduces the time spent on data cleaning.
Firebolt Analytics specializes in Cloud Data Warehousing
Growing data volumes generated from the Internet of Things (IoT) devices or data mining require high storage capacities and elaborate pipelines for fast querying. As a result, startups develop data warehousing solutions that tackle storage and computing database bottlenecks. By optimizing performance speed, these solutions allow for the seamless computation of data on a terabyte (TB) or petabyte (PB) scale.
Israeli startup Firebolt Analytics offers a cloud data warehouse-as-a-service solution to advertising or market research companies. The startup’s solution supports structured and semi-structured JSON data, which is materialized in the pipeline into a proprietary F3 format. This enables efficient indexing and processing. Moreover, the format supports merge updates, facilitating data updating and deleting processes.
Wult offers Data Governance
The implementation of data privacy regulations such as the GDPR compliance requires companies to employ data governance procedures, incorporating data quality, integrity, privacy, and security. Startups develop advanced data governance solutions to implement data validation and compliance algorithms. Moreover, data governance facilitates data relevance and accessibility for different company departments.
Danish startup Wult develops a data governance platform for the retail, e-commerce, and real estate sectors, as well as for sales and lead generation teams. The platform allows users to regulate data collection, architecture, compliance, and integration. Additionally, the platform arranges data points for attribution, scoring, and merging to deliver and maintain data quality.
Fencore provides Financial Data Management
Companies use analytics, reporting, and visualization software to extract business intelligence such as market and trading insights from financial data. To help with financial data management, FinTech startups develop data management algorithms and platforms. These solutions enable data centralization and aggregation, as well as ensure data quality and compliance with regulations.
Singaporean startup Fencore provides a data management platform for companies in the financial sector. The startup offers market and investment data management, data optimization, reconciliation, and migrations, as well as data validation and risk reduction. The platform serves as a central datahub for internal data and financial data vendors. It enables easy data access, maintenance, and continuous operational capability for increased revenue and performance.
How will Data Management impact your company?
To stay ahead of the technology curve, it is important that you know which technologies and industry trends will impact your company in 2021. You can explore our free Industry Innovation Reports or let us do the work for you. To keep you up-to-date on the latest technology and emerging solutions, we provide you with actionable innovation intelligence – quickly and exhaustively.