Databricks

Immuta, Inc. develops a cloud-native data governance platform that focuses on automating data access control, security, and privacy compliance. The platform allows organizations to manage data security and privacy effectively, ensuring that users access only the data relevant to their roles and approved purposes. Immuta's solutions include automated data discovery, classification, and the establishment of security policies without requiring coding expertise. The platform also provides monitoring capabilities to track data usage, thereby enhancing transparency and compliance with global regulations such as GDPR, CCPA, and HIPAA. Immuta serves a diverse range of industries, including finance, healthcare, government, and manufacturing, facilitating cloud migration, regulatory compliance, and secure collaboration. Founded in 2014 and based in College Park, Maryland, with additional offices in Boston and Columbus, the company aims to foster collaboration among data engineering, security, legal, and compliance teams while minimizing risks associated with data access.

Tecton.ai is a developer of an enterprise-ready data platform designed to facilitate machine learning for organizations. Founded in 2019 by the team behind Uber's Michelangelo platform, Tecton aims to make advanced machine learning capabilities accessible to companies of all sizes. The platform allows data scientists to transform raw data into production-ready features, addressing the unique challenges of machine learning data management. By providing a comprehensive data layer, Tecton enables the integration of batch, streaming, and real-time data, allowing organizations to automate decisions rapidly and improve customer experiences. With offices in San Francisco and New York, Tecton focuses on helping businesses efficiently deploy machine learning models at scale to drive significant outcomes.

Developer of a collaborative data workspace platform intended to streamline the entire analytics workflow. The company's platform empowers everyone to ask and answer questions, work together, and build knowledge by facilitating, analyzing, and building with data and turning information into a data-driven set, enabling clients to focus on generating insight, driving decisions, and moving things forward.

dbt Labs, founded in 2016 and based in Philadelphia, operates a software-as-a-service platform that specializes in open-source data engineering. The company's primary offering, the data build tool (dbt), empowers data analysts and engineers to organize, cleanse, and transform data for analysis using SQL. This platform facilitates data modeling, event tracking, and KPI measurement, enabling users to build efficient data transformation workflows. In addition to its core software, dbt Labs provides training and consulting services in data analytics, supporting organizations in leveraging their data more effectively. Through its mission to enhance the creation and dissemination of organizational knowledge, dbt Labs positions itself as a vital resource for businesses seeking to improve their data analytics capabilities.

Blitzz was founded by seasoned leaders from the world of databases and distributed systems to liberate enterprises to move to from legacy RDBMS to distributed cloud-native databases in the fastest, most reliable and most cost-efficient way. A solution that could handle variety, velocity, and volume of today’s businesses in real time without compromising on data integrity while enabling modern software architecture such as microservices.These rapid changes in data management landscape in terms of workloads and deployment models have only made it even more challenging for enterprises to navigate these complexities. Blitzz was built from the ground up as cloud-neutral and easy-to-use database modernization tool.

TickSmith Corp. specializes in data management solutions, primarily through its flagship platform, TickVault. Founded in 2012 and headquartered in Montréal, Canada, the company focuses on providing a robust big data platform for managing both structured and unstructured financial data. This includes trade and quote histories, research, corporate actions, and various types of financial content. TickSmith's innovative GOLD Platform, which stands for Gather-Organize-Leverage-Distribute, is designed for ease of use, allowing organizations to manage data without requiring specialized technical staff. The platform supports a wide range of data-intensive applications, addressing the challenges of cloud migration, data proliferation, and the increasing demands for business intelligence and machine learning. TickSmith serves a diverse clientele that includes exchanges, data vendors, trading groups, and regulatory bodies, aiming to simplify and enhance the consumption and distribution of financial data on a global scale.

Hunters is a cybersecurity company based in Tel Aviv, Israel, founded in 2018. It specializes in developing an artificial intelligence-based software solution designed to detect and prevent cyberattacks. The company's flagship platform, Hunters.AI, autonomously identifies threats that may evade traditional security measures, enhancing threat detection and response across various IT environments, including cloud and network infrastructures. By ingesting extensive security telemetry and intelligence from diverse data sources, the platform enriches threat signals with detailed attack intelligence. It employs machine learning and cloud-based analytics to correlate threat patterns and generate actionable visualized attack narratives, ultimately optimizing response times for cybersecurity teams.

Labelbox, Inc. is an artificial intelligence-based platform designed for companies to outsource data labeling, primarily for machine learning applications. Founded in 2018 and headquartered in San Francisco, California, Labelbox enables organizations to import datasets, create and manage labeling tasks, and collaborate effectively with internal or external labeling teams. The platform serves as a central hub for data science teams, streamlining the process of creating and managing training data. By improving data input and management, Labelbox enhances the quality of training data, which in turn contributes to the development of more accurate machine-learning models.

8080 Labs is the developer of bamboolib, a user-friendly data science tool that simplifies data exploration and transformation for users. By providing a UI-based interface, bamboolib enables data scientists to efficiently manipulate data without the need for coding, which significantly enhances productivity. The software is available in both paid and open-source versions, catering to a wide audience and making Python more accessible to users of varying skill levels. Through its innovative approach, 8080 Labs aims to streamline the data analysis process and empower data professionals to manage their projects more effectively.

Redash, Ltd. is a company that specializes in developing an open-source platform aimed at assisting data scientists and SQL analysts in gathering and visualizing data from various sources. Founded in 2015 and based in Tel Aviv-Yafo, Israel, Redash enables users to connect to operational databases, data lakes, and the Delta Lake solution, facilitating the creation of thematic dashboards. The platform is designed to democratize data access within enterprises, allowing organizations to visualize and share data insights effectively. As of June 2020, Redash operates as a subsidiary of Databricks Inc.