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Snowflake

763
891
+ 1
18
Vertica

78
99
+ 1
13
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Pros of Snowflake
Pros of Vertica
  • 4
    Public and Private Data Sharing
  • 3
    Good Performance
  • 2
    Serverless
  • 2
    Multicloud
  • 2
    Great Documentation
  • 2
    User Friendly
  • 1
    Usage based billing
  • 1
    Innovative
  • 1
    Economical
  • 1
    Shared nothing or shared everything architecture
  • 1
    Offers users the freedom to choose deployment mode
  • 1
    Flexible architecture suits nearly any project
  • 1
    End-to-End ML Workflow Support
  • 1
    All You Need for IoT, Clickstream or Geospatial
  • 1
    Freedom from Underlying Storage
  • 1
    Pre-Aggregation for Cubes (LAPS)
  • 1
    Automatic Data Marts (Flatten Tables)
  • 1
    Near-Real-Time Analytics in pure Column Store
  • 1
    Fully automated Database Designer tool
  • 1
    Query-Optimized Storage
  • 1
    Vertica is the only product which offers partition prun
  • 1
    Partition pruning and predicate push down on Parquet

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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.

What is Vertica?

It provides a best-in-class, unified analytics platform that will forever be independent from underlying infrastructure.

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Jobs that mention Snowflake and Vertica as a desired skillset
Pinterest
San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US
Pinterest
San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US
Pinterest
San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US
Pinterest
San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US
What companies use Snowflake?
What companies use Vertica?
See which teams inside your own company are using Snowflake or Vertica.
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What tools integrate with Snowflake?
What tools integrate with Vertica?

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Blog Posts

Jul 2 2019 at 9:34PM

Segment

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What are some alternatives to Snowflake and Vertica?
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.
Cassandra
Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
Databricks
Databricks Unified Analytics Platform, from the original creators of Apache Spark™, unifies data science and engineering across the Machine Learning lifecycle from data preparation to experimentation and deployment of ML applications.
Hadoop
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
Oracle
Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.
See all alternatives