This article examines 10 new data management companies advancing the industry with innovative technologies and specialized applications. These companies provide solutions for laboratory data management, financial risk management, and sustainable data practices. They enhance accuracy, security, and ecological sustainability in data operations. Each company is making significant strides in its respective domains, marking advances in the diverse and evolving field of data management. The last update of this report was 5 days ago. If you spot incomplete or incorrect info, please let us know.
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Key Takeaways
Drawing insights from the Big Data & AI-powered StartUs Insights Discovery Platform that provides data on over 4.7+ million emerging companies globally, we explore the evolving landscape of data management. This sector is marked by key trends and a substantial workforce, shaping its future. Here are some key insights at a glance:
- Current Data Management Trends: Some of the major trends impacting data management are cloud-native management, artificial intelligence (AI) integration, data privacy, data democratization, and sustainable management.
- Data Management Sector Stats: The global data management sector encompasses 11.3K+ organizations and has a massive 612.4k workforce. It is experiencing a rise of 2.4% in annual growth rate and has seen the emergence of 4K+ new data management companies in the past five years.
- 10 New Data Management Companies to Watch:
- Starhive – AI-powered Bad Data Elimination
- LabNode – Machine-readable Documentation
- Datacoves – Managed DBT Platform
- ZeroBeta – Financial Risk & Market Data Management
- Graviti – AI-powered Unstructured Data Management
- Data PM – Sustainable Data Management
- Ventriks – Cloud-based Data Acquisition
- AGEDB – Database Migration Tools
- LiTech – Data Observability
- Visual Layer – Visual Data Management
Discover 10 out of 4K+ Emerging Data Management Companies
In this section, we highlight 10 new data management companies specializing in cloud-based data management platforms, financial risk management, database migration tools, data observability solutions, and more. These firms integrate advanced analytics, AI-driven insights, and streamlined workflows to improve data accuracy, security, and operational efficiency. They also employ sophisticated algorithms and real-time monitoring to optimize data operations across industries. Dive into the details as we explore the unique solutions these companies bring to the forefront of data management technology.
Note on Signal Strength
One of the unique metrics we feature for each company is Signal Strength, a proprietary data point generated by our Discovery Platform. It gauges the extent to which a company’s influence has permeated the global ecosystem of startups, scaleups, and emerging companies. This proprietary metric serves as a valuable guidepost for understanding a company’s standing in the broader market landscape.
1. Starhive
- Founding Year: 2022
- Employee Range: 11-50
- Location: Sweden
- Signal Strength: Medium
- What they do: Starhive’s unified asset management (UAM) platform allows organizations to manage physical and digital assets. The platform integrates data from multiple business domains to streamline processes and offer a singular, accurate view of all assets. Starhive thus improves operational efficiency and data quality by automating data entry and consolidating data sources. This solution enables industries, like healthcare and manufacturing, to avoid data duplication and strengthen collaboration.
2. LabNode
- Founding Year: 2022
- Employee Range: 2-10
- Location: Germany
- Signal Strength: Medium Strong
- What they do: LabNode provides lab and data management software that increases work efficiency, effectiveness, and compliance with regulatory standards. The software addresses challenges in the lab environment such as lost, incomplete, or unstructured data by offering machine-readable documentation and automated data management. It enables researchers and lab technicians to ensure data integrity while streamlining security measures and experimental procedures.
3. Datacoves
- Founding Year: 2020
- Employee Range: 11-50
- Location: USA
- Signal Strength: Very Strong
- What they do: Datacoves develops an enterprise dbt DataOps platform with hosted Visual Studio code and Airflow for efficient data management. It integrates tools like dbt-core, Fivetran, and Airbyte for simplifying data ingestion and reconstruction. This allows developers to increase productivity from a managed dbt development environment and Visual Studio code. Airflow integration further provides a strong data pipeline orchestration to support Python and Yaml configurations. Through the platform, developers receive flexible data delivery options for business intelligence (BI) tools, data clouds, and activation tools.
4. ZeroBeta
- Founding Year: 2019
- Employee Range: 11-50
- Location: Canada
- Signal Strength: Very Strong
- What they do: ZeroBeta builds BlueShift Platform, a cloud-based risk and market data management platform. It reduces ownership costs and increases capital efficiency using advanced, real-time risk and collateral management across multiple asset classes. Additionally, the platform allows data analysts to visualize, analyze, and manage market, liquidity, and credit risks. Its market data engine further facilitates data sourcing, aggregation, and filtration. The platform thus allows banks, fund managers, and clearing houses to manage diverse portfolios and maintain competitive compliance with industry regulations.
5. Graviti
- Founding Year: 2019
- Employee Range: 51-100
- Location: USA
- Signal Strength: Very Strong
- What they do: Graviti offers a platform for handling unstructured data. It improves productivity and scalability for machine learning projects and business analytics. The platform supports a broad spectrum of data activities including hosting, version control, visualization, and collaboration. This enables efficient data curation and version control with a git-like interface that streamlines collaboration and minimizes data redundancy. Consequently, Graviti’s workflow automation allows businesses to process large volumes of data.
6. Data PM
- Founding Year: 2019
- Employee Range: 2-10
- Location: France
- Signal Strength: Medium
- What they do: Data PM optimizes real estate management using building information modeling for geospatial engineering modeling (BIM GEM) and the Internet of Things (IoT). The company’s products are IPOMM COLLAB, IPOMM CHECKER, IPOMM Facility, and IPOMM Viewer. IPOMM COLLAB enables collaborative renovation project management while IPOMM Facility offers AI-powered predictive property maintenance. On the other hand, IPOMM CHECKER analyzes industry foundation classes (IFC) file conformity and IPOMM Viewer is an IFC model visualization software. These products allow construction and real estate companies to predict maintenance issues and maintain real estate value while saving maintenance and operating costs.
7. Ventriks
- Founding Year: 2020
- Employee Range: 2-10
- Location: UK
- Signal Strength: Very Strong
- What they do: Ventriks supports data sourcing, integration, management, analysis, and predictive insights through its cloud-native data platform, Ventriks Data Platform (VDP). It features no-code data connectivity and engineering, automated inter-application workflows, and data-targeted components to streamline processes for data teams. The platform also features an ecosystem of connectors that enables easy integration with various data sources, applications, and storage solutions. Further, the company operates a digital marketplace for data products that standardizes and quality checks data to ensure usability across BI and data science applications. Organizations benefit from these services by gaining access to a diverse and ready-to-use data set that supports informed decision-making.
8. AGEDB
- Founding Year: 2022
- Employee Range: 11-50
- Location: Canada
- Signal Strength: Strong
- What they do: AGEDB converts complex data into actionable insights using AI and graph database technologies. Its data management system merges PostgreSQL with a graph database to solve data complexity for real-time analytics and data management. The system also allows data teams to enhance data discovery. AGEDB’s hybrid database technology facilitates transitions between relational and graph data models, optimizing performance and scalability.
9. LiTech
- Founding Year: 2019
- Employee Range: 2-10
- Location: Estonia
- Signal Strength: Very Strong
- What they do: LiTech improves the accuracy and reliability of data across organizations with its platform, LiTech DQM. This platform centralizes data validations for diverse sources into one location, fostering easier collaboration. LiTech DQM features automated test case generation and execution with SQL-based test cases to clarify data expectations. This reduces the need for manual data testing. Additionally, the platform includes automated data profiling and employs machine learning to detect anomalies and deviations for high data quality through automatic business rule generation. It further supports organized data asset management for organizations to track data quality metrics and visualize data relationships.
10. Visual Layer
- Founding Year: 2022
- Employee Range: 11-50
- Location: Israel
- Signal Strength: Very Strong
- What they do: Visual Layer advances visual data management with its cloud-based Visual Layer platform. It manages and processes multiple images to accelerate product development and reduce labeling costs. The platform also integrates with various data sources including local and network file systems, as well as major cloud providers such as AWS, GCP, and Azure. Visual Layer ensures high data integrity by automatically scanning vast datasets to identify and resolve quality issues efficiently. The platform benefits organizations involved in large-scale image and video management, such as digital catalog companies and research institutions.
Quick Tip to Find New Data Management Companies
Utilizing a SaaS platform like the Discovery Platform for identifying new data management solutions provides significant benefits compared to traditional scouting methods:
- Increased Efficiency: The Discovery Platform offers advanced tools that streamline the scouting process. It replaces your hours of conventional desk research, saving time and resources in identifying data management innovations.
- Access to Real-time Insights: Gain a competitive edge with up-to-date information on the latest trends in data management. The platform keeps you informed with near real-time updates on emerging data management companies and news, enabling you to make swift and informed decisions.
- Tailored Exploration: Customize your search to focus on specific niches within the data management sector, such as financial risk management, database migration tools, or visual data management. The platform’s diverse filtering options allow you to target your scouting efforts precisely, ensuring that you find the most relevant and groundbreaking companies in the field.
Ready to Explore All New Data Management Companies?
This overview highlights just a few data management solutions from all 4K+ new companies currently covered by the Discovery Platform. To explore them all, book a personalized demo or download one of our free Industry Innovation Reports for a quick overview. We’re keen to partner with subject matter experts to enrich our coverage. Think you can help? Let us know.
