Cloudera Enterprise vs Google BigQuery vs Snowflake

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Cloudera Enterprise

126
172
+ 1
5
Google BigQuery

1.7K
1.5K
+ 1
152
Snowflake

1.1K
1.2K
+ 1
27
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Pros of Cloudera Enterprise
Pros of Google BigQuery
Pros of Snowflake
  • 1
    Scalability
  • 1
    Multicloud
  • 1
    Hybrid cloud
  • 1
    Easily management
  • 1
    Cheeper
  • 28
    High Performance
  • 25
    Easy to use
  • 22
    Fully managed service
  • 19
    Cheap Pricing
  • 16
    Process hundreds of GB in seconds
  • 12
    Big Data
  • 11
    Full table scans in seconds, no indexes needed
  • 8
    Always on, no per-hour costs
  • 6
    Good combination with fluentd
  • 4
    Machine learning
  • 1
    Easy to manage
  • 0
    Easy to learn
  • 7
    Public and Private Data Sharing
  • 4
    Multicloud
  • 4
    Good Performance
  • 4
    User Friendly
  • 3
    Great Documentation
  • 2
    Serverless
  • 1
    Economical
  • 1
    Usage based billing
  • 1
    Innovative

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Cons of Cloudera Enterprise
Cons of Google BigQuery
Cons of Snowflake
    Be the first to leave a con
    • 1
      You can't unit test changes in BQ data
    • 0
      Sdas
      Be the first to leave a con

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      What is Cloudera Enterprise?

      Cloudera Enterprise includes CDH, the world’s most popular open source Hadoop-based platform, as well as advanced system management and data management tools plus dedicated support and community advocacy from our world-class team of Hadoop developers and experts.

      What is Google BigQuery?

      Run super-fast, SQL-like queries against terabytes of data in seconds, using the processing power of Google's infrastructure. Load data with ease. Bulk load your data using Google Cloud Storage or stream it in. Easy access. Access BigQuery by using a browser tool, a command-line tool, or by making calls to the BigQuery REST API with client libraries such as Java, PHP or Python.

      What is Snowflake?

      Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.

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      Jobs that mention Cloudera Enterprise, Google BigQuery, and Snowflake as a desired skillset
      What companies use Cloudera Enterprise?
      What companies use Google BigQuery?
      What companies use Snowflake?

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      What tools integrate with Cloudera Enterprise?
      What tools integrate with Google BigQuery?
      What tools integrate with Snowflake?

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      What are some alternatives to Cloudera Enterprise, Google BigQuery, and Snowflake?
      MySQL
      The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
      PostgreSQL
      PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
      MongoDB
      MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
      Redis
      Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
      Amazon S3
      Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
      See all alternatives