Streams Insights

What is Streams?

Streams, in the context of computing, refers to a continuous flow of data, often processed in real-time or near real-time. It's a way to handle data as it is produced, rather than storing it first. Common use cases include real-time analytics, monitoring, and event-driven architectures, enabling systems to react quickly to new information. Different technologies provide support for data streams, for example, message queues, stream processing frameworks and database specific streaming capabilities.

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What other technologies are related to Streams?

Streams Competitor Technologies

SnowPipe

SnowPipe is a data ingestion service in Snowflake, allowing for continuous data loading, which competes with the functionality provided by certain stream processing solutions.

mentioned alongside Streams in 13% (344) of relevant job posts

Snow Pipe

Snow Pipe is a data ingestion service in Snowflake, allowing for continuous data loading, which competes with the functionality provided by certain stream processing solutions.

mentioned alongside Streams in 13% (62) of relevant job posts

Streams Complementary Technologies

Metadata Manager

A metadata manager is complementary because it helps in managing and understanding the data flowing through streams.

mentioned alongside Streams in 64% (161) of relevant job posts

functional interfaces

Functional interfaces, especially those provided by Java 8 and later, are frequently used in stream processing for defining transformations and operations on data streams.

mentioned alongside Streams in 56% (166) of relevant job posts

Completable Future

CompletableFuture are complementary as they enable asynchronous processing, which is often used in conjunction with stream processing to handle data concurrently.

mentioned alongside Streams in 89% (71) of relevant job posts