Couchbase’s operational data platform for AI is a scalable foundation for enterprise operational, analytical, mobile and AI workloads that replaces legacy infrastructure and data services.
Bring your data to life in new ways with Couchbase’s enterprise data partnership: launch game-changing customer experiences, explore the infinite possibilities of AI, scale your global operations, and move your data from the cloud to the edge, and beyond.
Couchbase’s operational data platform for AI eliminates fragmented tech stacks, so teams can stay innovative and agile, with less risk and lower cost of ownership. With enterprise partnership and scalable, AI-ready technology, Couchbase turns your data into the foundation for your next breakthrough.
- Power your Performance. Expect peak performance from your digital experiences—even at peak demand.
- Accelerate Your Innovation. Get to market faster and stay one step ahead of competitors with a unified data platform.
- Simplify Your Operations. Cut complexity and drive visibility by consolidating your legacy infrastructure and services.
- Control Your Costs. Optimize your infrastructure spending with a unified database that significantly reduces your TCO.
- Sync Your Experience. Take your data wherever it needs to go—across regions and data centers, from cloud to edge.
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RaimaDB is an embedded time series database designed specifically for Edge and IoT devices, capable of operating entirely in-memory. This powerful and lightweight relational database management system (RDBMS) is not only secure but has also been validated by over 20,000 developers globally, with deployments exceeding 25 million instances. It excels in high-performance environments and is tailored for critical applications across various sectors, particularly in edge computing and IoT. Its efficient architecture makes it particularly suitable for systems with limited resources, offering both in-memory and persistent storage capabilities. RaimaDB supports versatile data modeling, accommodating traditional relational approaches alongside direct relationships via network model sets. The database guarantees data integrity with ACID-compliant transactions and employs a variety of advanced indexing techniques, including B+Tree, Hash Table, R-Tree, and AVL-Tree, to enhance data accessibility and reliability. Furthermore, it is designed to handle real-time processing demands, featuring multi-version concurrency control (MVCC) and snapshot isolation, which collectively position it as a dependable choice for applications where both speed and stability are essential. This combination of features makes RaimaDB an invaluable asset for developers looking to optimize performance in their applications.
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StarTree
StarTree Cloud functions as a fully-managed platform for real-time analytics, optimized for online analytical processing (OLAP) with exceptional speed and scalability tailored for user-facing applications. Leveraging the capabilities of Apache Pinot, it offers enterprise-level reliability along with advanced features such as tiered storage, scalable upserts, and a variety of additional indexes and connectors. The platform seamlessly integrates with transactional databases and event streaming technologies, enabling the ingestion of millions of events per second while indexing them for rapid query performance. Available on popular public clouds or for private SaaS deployment, StarTree Cloud caters to diverse organizational needs. Included within StarTree Cloud is the StarTree Data Manager, which facilitates the ingestion of data from both real-time sources—such as Amazon Kinesis, Apache Kafka, Apache Pulsar, or Redpanda—and batch data sources like Snowflake, Delta Lake, Google BigQuery, or object storage solutions like Amazon S3, Apache Flink, Apache Hadoop, and Apache Spark. Moreover, the system is enhanced by StarTree ThirdEye, an anomaly detection feature that monitors vital business metrics, sends alerts, and supports real-time root-cause analysis, ensuring that organizations can respond swiftly to any emerging issues. This comprehensive suite of tools not only streamlines data management but also empowers organizations to maintain optimal performance and make informed decisions based on their analytics.
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AWS Fargate
AWS Fargate is a serverless compute engine specifically designed for containerized applications and is fully compatible with Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS). This service empowers developers to focus on building their applications rather than dealing with server management hassles. With Fargate, there is no need to provision or manage servers, as users can specify and pay for resources tailored to their application needs, while also benefiting from enhanced security due to its built-in application isolation features. Fargate automatically allocates the necessary compute resources, alleviating the stress of instance selection and cluster scaling management. Users are charged only for the resources consumed by their containers, which helps to avoid unnecessary costs linked to over-provisioning or maintaining excess servers. Each task or pod operates in its own dedicated kernel, providing isolated computing environments that ensure secure workload separation and bolster overall security, which is crucial for maintaining application integrity. By embracing Fargate, developers can not only streamline their development processes but also enhance operational efficiency and implement strong security protocols, ultimately resulting in a more effective and agile application lifecycle. Additionally, this flexibility allows teams to adapt quickly to changing requirements and scale their applications seamlessly.
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