Intel Corporation

Founded in 1968, Intel designs, manufactures, and sells essential technologies for cloud, smart, and connected devices worldwide. Its product portfolio includes platform products like central processing units and chipsets, along with non-platform products such as accelerators, boards and systems, connectivity products, and memory and storage products. Intel serves original equipment manufacturers, original design manufacturers, and cloud service providers.

Indeshaw Adenaw

Investor

Ranjeet Alexis

Investor

Srini Ananth

Managing Director

Peng Bai Ph.D

Corporate Vice President

Aravind Bharadwaj

Investment Director

Past deals in Database

OtterTune

Series A in 2022
OtterTune, Inc., founded in 2020 and headquartered in Pittsburgh, Pennsylvania, offers an automated database tuning service aimed at enhancing the performance of data-intensive applications. The company’s technology continuously learns from database behavior and automatically adjusts runtime configurations, optimizing performance beyond the capabilities of traditional human database administrators. By analyzing prior tuning sessions, OtterTune's tool efficiently identifies optimal settings for database management systems, allowing developers to deploy these systems without needing extensive expertise in database administration. This innovative approach to database tuning not only reduces the time and resources required for setup but also ensures that databases operate under optimal conditions both now and in the future.

MariaDB

Series C in 2020
MariaDB is a next generation cloud database company whose products are used by organizations worldwide, reaching over a billion users through Linux distributions and downloaded over a billion times. It operates as a single segment within the Software-as-a-Service space, offering database software and cloud services across multiple industries. The company serves markets across EMEA, APAC and the Americas, with the Americas contributing the largest share of revenue.

Reniac

Series A in 2020
Reniac, Inc. is a technology company that specializes in designing and developing intelligent data-aware architectures for applications, servers, and data storage systems. Founded in 2012 and headquartered in Santa Clara, California, with additional locations in Hyderabad, India, and Richmond, Canada, Reniac focuses on creating a distributed data engine that enhances performance by addressing bottlenecks in data infrastructure workloads. Their cloud-based platform accelerates and optimizes open-source database implementations, offering solutions such as a Cassandra I/O accelerator, a distributed and persistent cache, and a storage engine for graph and SQL databases. This technology enables enterprises to achieve higher throughput and lower latency, allowing them to improve critical workloads across public cloud, hybrid, and on-premise environments without necessitating changes to existing applications. Reniac's team comprises experienced professionals from notable companies, bringing a wealth of expertise in data, software, and systems.

Swarm64

Series B in 2018
Swarm64 is a Norwegian company founded in 2013 that specializes in providing accelerators for relational databases, enabling real-time analytics for high-velocity data. With a strong focus on FPGA acceleration and real-time database design, Swarm64 develops micro-server architecture technology that enhances cloud-based computing. The company's solutions utilize SQL for big data analysis on native data in real-time, supporting both Online Analytical Processing (OLAP) and Online Transaction Processing (OLTP) workloads simultaneously while ensuring improved transaction safety. By simplifying the complexities associated with Extract, Transform, Load (ETL) processes, Swarm64 empowers businesses to derive significant value from their big data and achieve in-memory database performance at competitive costs. The company operates from its headquarters in Norway and has a presence in Berlin, Germany.

Reniac

Venture Round in 2017
Reniac, Inc. is a technology company that specializes in designing and developing intelligent data-aware architectures for applications, servers, and data storage systems. Founded in 2012 and headquartered in Santa Clara, California, with additional locations in Hyderabad, India, and Richmond, Canada, Reniac focuses on creating a distributed data engine that enhances performance by addressing bottlenecks in data infrastructure workloads. Their cloud-based platform accelerates and optimizes open-source database implementations, offering solutions such as a Cassandra I/O accelerator, a distributed and persistent cache, and a storage engine for graph and SQL databases. This technology enables enterprises to achieve higher throughput and lower latency, allowing them to improve critical workloads across public cloud, hybrid, and on-premise environments without necessitating changes to existing applications. Reniac's team comprises experienced professionals from notable companies, bringing a wealth of expertise in data, software, and systems.

MariaDB

Series C in 2017
MariaDB is a next generation cloud database company whose products are used by organizations worldwide, reaching over a billion users through Linux distributions and downloaded over a billion times. It operates as a single segment within the Software-as-a-Service space, offering database software and cloud services across multiple industries. The company serves markets across EMEA, APAC and the Americas, with the Americas contributing the largest share of revenue.

Vexata

Funding Round in 2017
Vexata, Inc. is a technology company based in San Jose, California, focused on developing and manufacturing real-time enterprise storage systems tailored for businesses. Founded in 2013 and currently a subsidiary of StorCentric, Inc., Vexata offers an innovative data storage infrastructure platform designed to meet the demands of modern, data-driven applications. The company's active data fabric integrates distributed data management software and advanced networking principles, allowing organizations to enhance their data infrastructure without the need for application rewrites or complex adjustments. Vexata's solutions facilitate improved decision-making and operational efficiency by supporting a range of database and analytics platforms, including traditional systems like Oracle and SQL Server, as well as emerging NoSQL and cognitive computing technologies.

MariaDB

Series B in 2016
MariaDB is a next generation cloud database company whose products are used by organizations worldwide, reaching over a billion users through Linux distributions and downloaded over a billion times. It operates as a single segment within the Software-as-a-Service space, offering database software and cloud services across multiple industries. The company serves markets across EMEA, APAC and the Americas, with the Americas contributing the largest share of revenue.

MariaDB

Series B in 2013
MariaDB is a next generation cloud database company whose products are used by organizations worldwide, reaching over a billion users through Linux distributions and downloaded over a billion times. It operates as a single segment within the Software-as-a-Service space, offering database software and cloud services across multiple industries. The company serves markets across EMEA, APAC and the Americas, with the Americas contributing the largest share of revenue.

MongoDB

Series F in 2013
MongoDB operates as a leading general-purpose database platform provider worldwide. It offers MongoDB Atlas, a cloud-based database service, and MongoDB Enterprise Advanced for on-premise or hybrid environments. The company also provides professional services such as consulting and training.

MongoDB

Series E in 2012
MongoDB operates as a leading general-purpose database platform provider worldwide. It offers MongoDB Atlas, a cloud-based database service, and MongoDB Enterprise Advanced for on-premise or hybrid environments. The company also provides professional services such as consulting and training.

MongoDB

Venture Round in 2012
MongoDB operates as a leading general-purpose database platform provider worldwide. It offers MongoDB Atlas, a cloud-based database service, and MongoDB Enterprise Advanced for on-premise or hybrid environments. The company also provides professional services such as consulting and training.

DATAllegro

Series D in 2008
DATAllegro provides integrated data warehousing services.

DATAllegro

Series C in 2006
DATAllegro provides integrated data warehousing services.

MySQL

Series C in 2006
MySQL is an open-source database company founded in 1995 by David Axmark and Michael Widenius, located in Cupertino, California. It specializes in providing scalable database solutions for web-based and embedded applications. MySQL offers a range of products, including enterprise-level support packages that come with comprehensive service options, alongside free downloads of its latest software versions. The company's online platform features a variety of resources such as forums, articles, documentation, and community support. MySQL's software is designed to enhance scalability, security, reliability, and uptime for businesses, facilitating increased agility and cost reduction through features like network monitoring, production support services, and database clustering architecture for mission-critical deployments.

Collax

Series A in 2005
Collax GmbH, founded in 2005 and based in Ismaning, Germany, specializes in developing Linux-based server solutions tailored for small to medium-sized enterprises. The company offers a range of products, including the Collax Business Server for network management, the Collax OX Server for information exchange, and the Collax Security Gateway for unified threat management. Collax’s solutions encompass various aspects of IT infrastructure, including network security, data management, email, collaboration, and web services, all designed to enhance productivity while ensuring robust security. With additional offices in Munich and Boston, Collax aims to provide adaptable and stable IT environments that support the growth of its clients' businesses.

DataSynapse

Series D in 2004
DataSynapse is a provider of application service management software designed for data centers. The company offers a platform that enables organizations to configure, activate, and manage scalable enterprise-class application services across physical, virtual, and cloud infrastructures in real-time. Its products include FabricServer, which serves as a data center application virtualization platform that adjusts applications based on business policies, and GridServer, a service execution platform that scales enterprise services according to performance and business requirements. By focusing on dynamic and automated provisioning, configuration management, metering, and runtime control, DataSynapse distinguishes itself from traditional IT management tools and infrastructure software platforms.

DataSynapse

Venture Round in 2001
DataSynapse is a provider of application service management software designed for data centers. The company offers a platform that enables organizations to configure, activate, and manage scalable enterprise-class application services across physical, virtual, and cloud infrastructures in real-time. Its products include FabricServer, which serves as a data center application virtualization platform that adjusts applications based on business policies, and GridServer, a service execution platform that scales enterprise services according to performance and business requirements. By focusing on dynamic and automated provisioning, configuration management, metering, and runtime control, DataSynapse distinguishes itself from traditional IT management tools and infrastructure software platforms.

DataKinetics

Acquisition in 2000
DataKinetics is a Canadian company that specializes in data performance and optimization solutions tailored primarily for banks, credit card companies, brokerages, insurance firms, healthcare organizations, retail businesses, and telecommunications companies. The company's offerings are designed to facilitate in-depth analysis of mainframe applications, allowing clients to identify the root causes of data issues. By addressing these challenges, DataKinetics aims to enhance operational efficiencies within mainframe and legacy systems, ultimately providing clients with permanent solutions to their data-related problems.
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