STUMPY vs Vertica

Overview

Vertica

Stacks88

Followers120

Votes16

STUMPY

Stacks1

Followers9

Votes0

STUMPY vs Vertica: What are the differences?

Developers describe STUMPY as "A Python library for time series data mining tasks". Efficiently computes something called the matrix profile, which can be used for a variety of time series data mining tasks. On the other hand, Vertica is detailed as "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.

STUMPY and Vertica can be categorized as "Big Data" tools.

STUMPY is an open source tool with 713 GitHub stars and 58 GitHub forks. Here's a link to STUMPY's open source repository on GitHub.

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Detailed Comparison

Vertica	STUMPY
It provides a best-in-class, unified analytics platform that will forever be independent from underlying infrastructure.	Efficiently computes something called the matrix profile, which can be used for a variety of time series data mining tasks.
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	-
Statistics
Stacks 88	Stacks 1
Followers 120	Followers 9
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 Golang MongoDB MySQL Sass Mode PowerBI Tableau Talend	Python

What are some alternatives to Vertica, STUMPY?

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

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.

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 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

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 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

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 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

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.