Azure Stream Analytics vs. Google Cloud Dataflow vs. Oracle Stream Analytics vs. PostgreSQL Data Access Components Comparison Chart

Unified stream and batch data processing that's serverless, fast, and cost-effective. Fully managed data processing service. Automated provisioning and management of processing resources. Horizontal autoscaling of worker resources to maximize resource utilization. OSS community-driven innovation with Apache Beam SDK. Reliable and consistent exactly-once processing. Streaming data analytics with speed. Dataflow enables fast, simplified streaming data pipeline development with lower data latency. Allow teams to focus on programming instead of managing server clusters as Dataflow’s serverless approach removes operational overhead from data engineering workloads. Allow teams to focus on programming instead of managing server clusters as Dataflow’s serverless approach removes operational overhead from data engineering workloads. Dataflow automates provisioning and management of processing resources to minimize latency and maximize utilization.

Enjoy the highest performance and unlimited possibilities when working with PostgreSQL. PostgreSQL Data Access Components (PgDAC) is a library of components that provides native connectivity to PostgreSQL from Delphi and C++Builder including Community Edition, as well as Lazarus (and Free Pascal) on Windows, Linux, macOS, iOS, and Android for both 32-bit and 64-bit platforms. PgDAC is designed to help programmers develop really lightweight, faster, and cleaner PostgreSQL database applications without deploying any additional libraries. PgDAC is a complete replacement for standard PostgreSQL connectivity solutions and presents an efficient alternative to the Borland Database Engine (BDE) and standard dbExpress driver for access to PostgreSQL. It provides direct access to PostgreSQL without PostgreSQL Client. PgDAC allows developers to optimize their database applications and harness the full capabilities of PostgreSQL.