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Discover 5 Top Data Management Startups & Scaleups

Curious about new technological advancements in data analytics? Explore our analysis of 1.620 global data management startups & scaleups & learn how their solutions impact your business!

Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights. This time, you get to discover 5 hand-picked data management startups.

Global Startup Heat Map: 5 Top Data Management Startups

The 5 data management startups you will explore below are chosen based on our data-driven startup scouting approach, taking into account factors such as location, founding year, and relevance of technology, among others. This analysis is based on the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering over 1.3 million startups & scaleups globally.

The Global Startup Heat Map below highlights the 5 data management startups & scaleups our Innovation Researchers curated for this report. Moreover, you get insights into regions that observe a high startup activity and the global geographic distribution of the 1.620 companies we analyzed for this specific topic.

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Permutive develops a Data Management Platform (DMP) for Publishers

Because browsers such as Safari and Firefox block third-party cookies by default, online publishers often do not receive a complete picture of their viewership. To tackle this problem, startups develop data management solutions that rely on first-party data. By unlocking full viewer data, these solutions improve personalization options for the clients and marketing opportunities for the publishers.

US-based startup Permutive offers an edge DMP for online publishers. The platform uses the data that is generated on devices such as smartphones, tablets, or laptops. As a result, the platform updates using first-party cookies, enabling immediate access to viewers’ data and thereby increasing advertising revenues.

Datablau provides Data Governance

The increasing number of data privacy regulations and their reliance on data prompt companies to incorporate data governance processes, which cover the usability, integrity, and security of data assets and systems. To enable companies to resolve data inconsistencies, startups develop data governance solutions. These solutions coordinate enterprise data architecture and ensure the proper use of data.

Chinese startup Datablau develops a data governance platform for the insurance, energy, and manufacturing sectors, among others. The platform implements data quality standards as well as increases the visibility and availability of data assets. Additionally, the startup offers a data modeling platform and a data catalog solution that uses artificial intelligence to identify data relationships, characteristics, and attributes for effective data analysis.

Fencore works on Financial Data Management

Market and trading data, as well as other unstructured data collected for analysis, are essential for successful trading operations. Efficient data processing activities simplify data validation and distribution, as well as ensure compliance with regulations. To facilitate data centralization and aggregation, data processing efficacy, and data quality, startups develop data management platforms.

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, enabling easy data access, maintenance, and continuous operational capability for increased revenue, performance, and audits.

SiaSearch creates a Sensor Data Platform

Self-driving, or autonomous, vehicles generate significant amounts of unstructured sensor data by the minute. This means that mobility companies face the challenge of processing increasing amounts of data. To help with extraction, processing, and searching through this data, startups develop AI-based solutions that optimize unstructured data handling. These solutions enable the fast processing of all available sensor data and thereby better performance.

German startup SiaSearch specializes in unstructured data management from sensors installed in self-driving vehicles. The startup applies AI for indexing and structuring raw data based on keywords and semantic characteristics. The platform then provides users with auto-tagging for event detection, fast processing of petabyte-scale data, and an elaborate database for quick querying and analysis.

DROON builds a Blockchain-based Bridge Solution

The immutability of blockchain technology cements the trust, security, and quality of data. However, the complexity of blockchain integration slows the application of the technology. Therefore, startups develop blockchain bridge solutions that manage the flow between databases and blockchains.

French startup DROON develops a blockchain bridge solution for data management use cases in aerospace, defense, and art, among other sectors. The startup provides a Blockchain Enabling Bridge (BEB) solution for blockchain integration into information systems. By being compatible with any blockchain type, the solution simplifies the technology’s integration into data management applications for certification, ransomware protection, data traceability, and end-to-end encryption.

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