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Google Cloud Search VS Spark Streaming

Compare Google Cloud Search VS Spark Streaming and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Google Cloud Search logo Google Cloud Search

Search across all your company's content in G Suite.

Spark Streaming logo Spark Streaming

Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.
  • Google Cloud Search Landing page
    Landing page //
    2023-04-20
  • Spark Streaming Landing page
    Landing page //
    2022-01-10

Google Cloud Search videos

+ Add

Introducing Google Cloud Search

More videos:

  • Review - Google Cloud Search: A Fully Managed Secure Enterprise Search Platform from Google (Cloud Next '18)
  • Demo - Google Cloud Search demo

Spark Streaming videos

+ Add

Spark Streaming Vs Kafka Streams || Which is The Best for Stream Processing?

More videos:

  • Tutorial - Spark Streaming Vs Structured Streaming Comparison | Big Data Hadoop Tutorial

Category Popularity

0-100% (relative to Google Cloud Search and Spark Streaming)

Google Cloud Search

Spark Streaming

Custom Search Engine
100 100%
Custom Search Engine
0% 0
Stream Processing
0 0%
Stream Processing
100% 100
Custom Search
100 100%
Custom Search
0% 0
Data Management
0 0%
Data Management
100% 100

User comments

Share your experience with using Google Cloud Search and Spark Streaming. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Spark Streaming should be more popular than Google Cloud Search. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Google Cloud Search mentions (2)

Spark Streaming mentions (3)

  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 4 months ago
  • Machine Learning Pipelines with Spark: Introductory Guide (Part 1)
    Spark Streaming: The component for real-time data processing and analytics. - Source: dev.to / over 1 year ago
  • Spark for beginners - and you
    Is a big data framework and currently one of the most popular tools for big data analytics. It contains libraries for data analysis, machine learning, graph analysis and streaming live data. In general Spark is faster than Hadoop, as it does not write intermediate results to disk. It is not a data storage system. We can use Spark on top of HDFS or read data from other sources like Amazon S3. It is the designed... - Source: dev.to / over 2 years ago

What are some alternatives?

When comparing Google Cloud Search and Spark Streaming, you can also consider the following products

Algolia - Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.

Confluent - Confluent offers a real-time data platform built around Apache Kafka.

FYI - Find your documents, like magic 🔮

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

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