Overview

Microsoft SQL Server

Stacks21.3K

Followers15.5K

Votes540

Vertica

Stacks88

Followers120

Votes16

Microsoft SQL Server vs Vertica: What are the differences?

Introduction: Microsoft SQL Server and Vertica are both highly popular database management systems. While they share some similarities, there are also key differences between the two.

Data Storage and Sharding: Microsoft SQL Server uses a row-based storage technique and does not natively support sharding. On the other hand, Vertica uses a columnar storage structure, which allows for faster query performance. Additionally, Vertica supports native sharding, enabling efficient distribution of data across multiple nodes.
Parallel Processing and Analytics: Vertica excels in parallel processing and is specifically designed for handling large datasets and complex analytical workloads. It incorporates features like query optimization and query execution parallelism, which enable it to process queries much faster compared to Microsoft SQL Server.
Compression Techniques: Vertica utilizes various data compression techniques such as columnar compression and encoding, which significantly reduce storage space and improve query performance. Microsoft SQL Server also supports compression, but doesn't provide the same level of efficiency as Vertica.
Built-in Analytical Functions: Vertica offers a rich set of built-in analytical functions that can be used for advanced data analysis and processing. These functions include time series analysis, pattern matching, and statistical functions. In contrast, while Microsoft SQL Server does provide some analytical functions, its offering is not as extensive or specialized as Vertica.
Cluster and Node Configuration: Vertica has a distributed architecture and is designed to run on a cluster of nodes, offering high availability and scalability. Microsoft SQL Server, on the other hand, can be configured for clustering and high availability but is primarily designed as a standalone relational database system.
Cost and Licensing: Microsoft SQL Server is a commercially licensed product, which means it requires purchasing licenses based on factors like the number of users or processors. Vertica, on the other hand, offers both a community edition with limited features and a commercial version, which can be more cost-effective for certain use cases.

In summary, Vertica and Microsoft SQL Server differ in terms of their data storage and sharding capabilities, parallel processing and analytics features, compression techniques, built-in analytical functions, cluster and node configuration, as well as cost and licensing options.

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Advice on Microsoft SQL Server, Vertica

Erin

IT Specialist

Mar 10, 2020

Needs adviceon

Microsoft SQL Server

MySQL

PostgreSQL

I am a Microsoft SQL Server programmer who is a bit out of practice. I have been asked to assist on a new project. The overall purpose is to organize a large number of recordings so that they can be searched. I have an enormous music library but my songs are several hours long. I need to include things like time, date and location of the recording. I don't have a problem with the general database design. I have two primary questions:

I need to use either @{MySQL}|tool:1025| or @{PostgreSQL}|tool:1028| on a @{Linux}|tool:10483| based OS. Which would be better for this application?
I have not dealt with a sound based data type before. How do I store that and put it in a table? Thank you.

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Comments

Detailed Comparison

Microsoft SQL Server	Vertica
Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.	It provides a best-in-class, unified analytics platform that will forever be independent from underlying infrastructure.
-	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 21.3K	Stacks 88
Followers 15.5K	Followers 120
Votes 540	Votes 16
Pros & Cons
Pros 139 Reliable and easy to use 101 High performance 95 Great with .net 65 Works well with .net 56 Easy to maintain Cons 4 Expensive Licensing 2 Microsoft 1 Replication can loose the data 1 Allwayon can loose data in asycronious mode 1 Data pages is only 8k	Pros 3 Shared nothing or shared everything architecture 1 Reduce costs as reduced hardware is required 1 Partition pruning and predicate push down on Parquet 1 Vertica is the only product which offers partition prun 1 Query-Optimized Storage
Integrations
No integrations available	Oracle Golang MongoDB MySQL Sass Mode PowerBI Tableau Talend

What are some alternatives to Microsoft SQL Server, Vertica?

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.

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.

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.