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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Mondrian vs Vertica

Mondrian vs Vertica

OverviewComparisonAlternatives

Overview

Vertica
Vertica
Stacks90
Followers120
Votes16
Mondrian
Mondrian
Stacks19
Followers26
Votes0
GitHub Stars1.2K
Forks735

Mondrian vs Vertica: What are the differences?

Mondrian: Open source platform for big data deployments. It is a Hitachi Group Company, data integration and business analytics company with an enterprise, Online Analytical Processing server (OLAP). Allows business users to analyze large and complex amounts of data in real-time; Vertica: Storage platform designed to handle large volumes of data. It provides a best-in-class, unified analytics platform that will forever be independent from underlying infrastructure.

Mondrian and Vertica can be primarily classified as "Big Data" tools.

Some of the features offered by Mondrian are:

  • Analyze all your data in real-time
  • System responds to queries fast enough to allow an interactive exploration of the data
  • Brings multidimensional analysis to the masses

On the other hand, Vertica provides the following key features:

  • Analyze All of Your Data. No longer move data or settle for siloed views
  • Achieve Scale and Performance
  • Fear of growing data volumes and users is a thing of the past

Mondrian is an open source tool with 792 GitHub stars and 612 GitHub forks. Here's a link to Mondrian's open source repository on GitHub.

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Detailed Comparison

Vertica
Vertica
Mondrian
Mondrian

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

It is a Hitachi Group Company, data integration and business analytics company with an enterprise, Online Analytical Processing server (OLAP). Allows business users to analyze large and complex amounts of data in real-time.

Analyze All of Your Data. No longer move data or settle for siloed views;Achieve Scale and Performance;Fear of growing data volumes and users is a thing of the past;Future-Proof Your Analytics
Analyze all your data in real-time; System responds to queries fast enough to allow an interactive exploration of the data; Brings multidimensional analysis to the masses; Allowing users to examine business data by drilling and cross-tabulating information.
Statistics
GitHub Stars
-
GitHub Stars
1.2K
GitHub Forks
-
GitHub Forks
735
Stacks
90
Stacks
19
Followers
120
Followers
26
Votes
16
Votes
0
Pros & Cons
Pros
  • 3
    Shared nothing or shared everything architecture
  • 1
    Partition pruning and predicate push down on Parquet
  • 1
    Vertica is the only product which offers partition prun
  • 1
    Query-Optimized Storage
  • 1
    Fully automated Database Designer tool
No community feedback yet
Integrations
Oracle
Oracle
Golang
Golang
MongoDB
MongoDB
MySQL
MySQL
Sass
Sass
Mode
Mode
PowerBI
PowerBI
Tableau
Tableau
Talend
Talend
JavaScript
JavaScript
Java
Java
Ubuntu
Ubuntu

What are some alternatives to Vertica, Mondrian?

MongoDB

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.

MySQL

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

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.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

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.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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