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Google Cloud Dataproc VS SingleStore

Compare Google Cloud Dataproc VS SingleStore and see what are their differences

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Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost

SingleStore logo SingleStore

SingleStore DB is a high-performance SQL compliant relational database management tool that offers data processing, ingesting, and transaction processing.
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09
  • SingleStore Landing page
    Landing page //
    2022-12-11

Google Cloud Dataproc videos

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Dataproc

SingleStore videos

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Category Popularity

0-100% (relative to Google Cloud Dataproc and SingleStore)

Google Cloud Dataproc

SingleStore

Data Dashboard
72 72%
Data Dashboard
28% 28
Big Data
79 79%
Big Data
21% 21
Development
51 51%
Development
49% 49
File Management
0 0%
File Management
100% 100

User comments

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Social recommendations and mentions

SingleStore might be a bit more popular than Google Cloud Dataproc. We know about 3 links to it since March 2021 and only 3 links to Google Cloud Dataproc. 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 Dataproc mentions (3)

  • Connecting IPython notebook to spark master running in different machines
    I have also a spark cluster created with google cloud dataproc. Source: about 1 year ago
  • Why we don’t use Spark
    Specifically, we heavily rely on managed services from our cloud provider, Google Cloud Platform (GCP), for hosting our data in managed databases like BigTable and Spanner. For data transformations, we initially heavily relied on DataProc - a managed service from Google to manage a Spark cluster. - Source: dev.to / almost 2 years ago
  • Data processing issue
    With that, the best way to maximize processing and minimize time is to use Dataflow or Dataproc depending on your needs. These systems are highly parallel and clustered, which allows for much larger processing pipelines that execute quickly. Source: about 2 years ago

SingleStore mentions (3)

  • Ask HN: Who is hiring? (February 2023)
    SingleStoreDB (formerly MemSQL) (https://singlestore.com) | India | Full Time | Remote SingleStoreDB is a database focused on high performance and hybrid workloads (HTAP). Our customers include half of the top 10 US banks, 2 of the top 3 US telcos, and 12% of the Fortune 100. Our product is a distributed, relational database that handles both transactions and real-time analytics at scale. Querying is done through... - Source: Hacker News / about 1 year ago
  • libschema now supports SingleStore
    Libschema now supports SingleStore in addition to PostgreSQL and MySQL. Source: over 1 year ago
  • Ask HN: Who is hiring? (January 2022)
    SingleStore (formerly MemSQL) (https://singlestore.com) | Lisbon (Portugal), San Francisco, London (UK), Raleigh (NC), and Seattle | Full Time | Remote SingleStore is a database startup focused on high performance and hybrid workloads (HTAP). Our customers include half of the top 10 US banks, 2 of the top 3 US telcos, and 12% of the fortune 100. You can read all about our product here:... - Source: Hacker News / over 2 years ago

What are some alternatives?

When comparing Google Cloud Dataproc and SingleStore, you can also consider the following products

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

MapR Converged Data Platform - An enterprise-grade distributed data platform that you can trust to reliably store and process big and fast data.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

HortonWorks Data Platform - The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly...

Mode - A complete analytical toolkit, free forever

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

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