Companies in the database sector developing innovative solutions and technologies.
Explore 411 recently funded database companies with verified founder contact information and fundraising data.
Digital Harvest is a global data science company that provides predictive, field-level sugarcane analytics to mills and food groups.
Starburst offers a data lakehouse platform unifying access to distributed data across cloud, on-premises, and hybrid environments.
Datapane is a Python framework for developing data science documents for companies, clients, or communities.
UtilityAPI is a service that automatically collects utility bill and usage data from utility web portals.
CedarDB is a database system that supports transactional and analytical workloads, handling data from small operations to large datasets.
Haevek is a distributed compute platform accelerating data processing, analytics, and machine learning workloads efficiently
Improvado is an advanced marketing analytics tool for data-driven marketing teams functioning within major companies.
BCMstrategy provides automated predictive analytics tools.
Config develops data infrastructure services for robotics applications.
Lightly is a data curation company for machine learning that helps companies build better models through better data.
Aiven is a technology-driven company that enables businesses to manage an open-source data infrastructure in the cloud.
OtterTune is an automated perfector of databases.
VAST Data offers an AI Operating System that integrates storage, database, and compute engine capabilities into a single software platform.
Chroma operates as an AI-native open-source embedding database.
RevenueBase is a provider of the database as a service intended to serve B2B companies.
Data.world is the cloud-native data catalog platform.
ReadySet is a distributed SQL cache that helps developers build scalable, real-time applications without code or database changes.
Vytelle is a precision livestock company reshaping how cattle producers worldwide optimize their herds.
Featherless.ai is a serverless AI hosting provider with GPU orchestration system.
Structify is a organization that converts data into structured datasets that are tailored to individual needs.
RxAll is a Deep Learning-Hyperspectral IoT Platform for the authentication and real-time global tracking of quality of drugs.
The low-code platform for rapid development of data-centric solutions.
Conjura is a company that draws on expertise in consultancy, software engineering, data science and analytics.
Coiniverse is an all-in-one coin-collecting app that caters to both experienced and newbie collectors worldwide.
QuestDB is an open-source SQL database designed to process time-series data, faster.
The database sector is an active area of startup innovation and venture capital investment. Companies in this space are developing new technologies, platforms, and services that address evolving market needs and create new business opportunities.
Database companies raise capital across various funding stages, from early seed rounds to late-stage growth financing. Investor interest in this sector is driven by the size of the addressable market, the pace of technology adoption, and the potential for scalable business models.
The database sector is expected to continue evolving as technology advances, market dynamics shift, and new opportunities emerge. Companies that demonstrate strong product-market fit, efficient growth, and clear competitive advantages are well-positioned to attract continued investment.
Here is how funding is distributed among the 411 database companies tracked in the VCBacked database.
Companies in the database sector often overlap with or complement businesses in adjacent industries. Exploring related verticals can help you discover additional companies, identify partnership opportunities, and understand the broader competitive landscape.
Perfect for: B2B sales teams targeting database companies, investors exploring sector opportunities, and service providers looking for funded companies ready to scale.
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