What's new in Imply Polaris – Our Real-Time Analytics DBaaS

Imply Polaris, a real-time analytics Database-as-a-Service (DBaaS), has introduced several new features and enhancements, including expanded ingestion capabilities and increased reliability through multi-availability zone operations. Polaris offers a fully managed Druid-as-a-Service, enabling rapid data insights without infrastructure setup, and now includes the Multi-Stage Query (MSQ) engine as the default for batch ingestion, enhancing speed and reliability. The platform supports native, connector-less data ingestion from services like Kafka, Confluent Cloud, and Amazon Kinesis, ensuring exactly-once data semantics. With its recent availability in the AWS eu-central-1 region in Frankfurt, Polaris aims to cater to a broader customer base, and its integration with Schema Registries improves data governance and resilience. Additionally, new SQL functions like DATE_EXPAND and UNNEST facilitate finer-granularity data analysis, making complex data processing simpler for developers.

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