
Materialize
Simplifies application development with streaming data.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor | €0.0 | round |
investor investor | €0.0 | round | |
investor investor | €0.0 | round | |
$60.0m | Series C | ||
Total Funding | 000k |
USD | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 |
% growth | - | 176 % | 124 % | 151 % |
EBITDA | 0000 | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates
Related Content
Materialize is a startup that operates in the data warehousing and analytics sector. It offers a cloud-based operational data warehouse that is designed to provide real-time insights for businesses. This platform is specifically built for tasks that require immediate action based on current data, marking a shift into what the company refers to as the "Operational Data Era."
The company's primary clients are data teams who use Materialize to not just analyze, but also operate their businesses with data. The platform offers features such as automation and alerting, which help eliminate manual work and delays, allowing businesses to act faster on their data. It also supports user-facing apps and features that need to react to minute-by-minute changes in the business.
Materialize also caters to businesses that require real-time customer data platforms. The value of personalization, recommendations, and dynamic pricing increases as the latency of data aggregations approaches zero. Furthermore, the platform serves machine learning and artificial intelligence needs by providing continually updated data.
The company's business model is built around providing sub-second updates on results as data arrives, strong consistency, and the ability to consume results with the interactivity of a SQL database. This is achieved through a revolutionary engine that Materialize runs, built on stream processing frameworks Timely Dataflow and Differential Dataflow.
In summary, Materialize is a cloud-based data warehouse that provides real-time data for businesses to make immediate decisions. It operates in a market that requires fast, accurate, and consistent data and serves clients that need to operate their businesses with up-to-the-minute data.
Keywords: Cloud-based, Data Warehouse, Real-time Data, Operational Data Era, Automation, User-facing Apps, Real-time Customer Data Platforms, Machine Learning, Artificial Intelligence, SQL Database.