Scylla.ai

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**Scylla.ai** is a provider of multi-cloud data platforms that enable enterprises to modernize their data infrastructure and accelerate their digital transformation. Their flagship product, ScyllaDB, is an open-source, NoSQL database that is designed to deliver high performance and scalability for modern applications. It is used by leading companies across a variety of industries, including financial services, healthcare, retail, and manufacturing.

Scylla.ai was founded in 2017 by a team of experienced engineers and data scientists. The company is headquartered in Palo Alto, California, with offices around the world. ScyllaDB is available as a managed service on AWS, Azure, and GCP. It is also available as a self-managed software that can be deployed on-premises or in any cloud environment.

ScyllaDB is a distributed database that uses a shared-nothing architecture. This means that each node in the cluster is independent and responsible for its own data. This architecture provides high availability and scalability, as well as low latency and high throughput. ScyllaDB is also ACID-compliant, which means that it guarantees data consistency and durability.

Scylla.ai offers a range of features and services to help enterprises manage their data infrastructure. These include:

* **ScyllaDB Cloud:** A fully managed ScyllaDB service that provides enterprises with a turnkey solution for deploying and managing their database in the cloud.
* **ScyllaDB Enterprise:** A self-managed version of ScyllaDB that provides enterprises with greater control over their data infrastructure.
* **ScyllaDB Support:** A comprehensive support program that provides enterprises with access to a team of experienced engineers who can help them with any issues they may encounter.

Scylla.ai is a rapidly growing company that is well-positioned to meet the growing demand for multi-cloud data platforms. The company's focus on performance, scalability, and reliability makes ScyllaDB an ideal choice for enterprises that are looking to modernize their data infrastructure and accelerate their digital transformation.

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