Optimize data analytics in capital markets with time series databases on AWS
Purpose-built databases address different workloads, including online transactional processing (OLTP), online analytical processing (OLAP), and caching. The data models representing the entities your applications work with and their relationships are supported by relational, document, key-value or graph, or time-series databases.
Learn how to use time series data to identify patterns that project stock prices and fund values and calculate risk assessments.
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Solutions
The following solutions available in AWS Marketplace cover a range of workloads and data shapes needed to build modern data applications.
Aerospike Cloud Managed Service reduces the operational overhead of running Aerospike in the cloud by aligning organizational resources with your goals.
See how it works: Video
CockroachDB is a cloud-native, distributed SQL database that provides easy horizontal scale and high availability for all your data-intensive applications.
See how it works: Video
Couchbase Cloud is a fully managed distributed NoSQL database-as-a-service for mission-critical applications hosted in your AWS virtual private cloud.
See how it works: Demo
Exasol is an in-memory MPP database that processes up to 1.6 million queries per hour. It scales rapidly and is designed for BI, analytics, and reporting.
See how it works: Demo
Imply Enterprise Hybrid is a real-time database for modern analytics apps, built from Apache Druid. Available as an Imply-assisted offering on AWS.
See how it works: Datasheet | Quickstart guide
SingleStore is one platform for all data, built so you can engage with insight in every moment. Defining the future starts with The Database of Now™.
See how it works: Video
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