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  5. Microsoft SQL Server vs MonetDB

Microsoft SQL Server vs MonetDB

OverviewDecisionsComparisonAlternatives

Overview

Microsoft SQL Server
Microsoft SQL Server
Stacks21.3K
Followers15.5K
Votes540
MonetDB
MonetDB
Stacks13
Followers35
Votes2

Microsoft SQL Server vs MonetDB: What are the differences?

  1. Data storage approach: Microsoft SQL Server uses a row-based storage approach where data is stored in rows, making it efficient for retrieving entire rows of data. On the other hand, MonetDB uses a columnar storage approach where data is stored in columns, which can result in better query performance for analytical workloads.

  2. Concurrency control: Microsoft SQL Server utilizes locking mechanisms for concurrency control which can lead to potential performance issues in high-transaction environments. In contrast, MonetDB employs multiversion concurrency control (MVCC) which allows for better scalability and performance in handling concurrent transactions.

  3. Query optimization techniques: Microsoft SQL Server employs a cost-based optimization approach where the query optimizer estimates the cost of different execution plans and chooses the most efficient one. MonetDB, on the other hand, utilizes vectorized query processing which operates on chunks of data at a time, resulting in faster query performance by reducing the amount of data movement.

  4. Indexing strategies: Microsoft SQL Server offers a wide range of indexing options such as clustered, non-clustered, and columnstore indexes to optimize query performance. MonetDB uses bitmap indexing which can be more efficient for certain types of queries, especially those involving multiple columns.

  5. Supported platforms: Microsoft SQL Server is primarily designed to run on Windows operating systems, although it has versions that can run on Linux and macOS. MonetDB, on the other hand, is open-source and can run on various operating systems including Linux, macOS, and Windows.

  6. Data compression techniques: Microsoft SQL Server offers various forms of data compression such as row and page compression to reduce storage space and improve query performance. MonetDB employs techniques like dictionary and run-length encoding for data compression, which can lead to significant storage savings and faster data retrieval.

In Summary, Microsoft SQL Server and MonetDB differ in data storage approach, concurrency control, query optimization techniques, indexing strategies, supported platforms, and data compression techniques.

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Advice on Microsoft SQL Server, MonetDB

Erin
Erin

IT Specialist

Mar 10, 2020

Needs adviceonMicrosoft SQL ServerMicrosoft SQL ServerMySQLMySQLPostgreSQLPostgreSQL

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:

  1. 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?
  2. I have not dealt with a sound based data type before. How do I store that and put it in a table? Thank you.
668k views668k
Comments

Detailed Comparison

Microsoft SQL Server
Microsoft SQL Server
MonetDB
MonetDB

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

MonetDB innovates at all layers of a DBMS, e.g. a storage model based on vertical fragmentation, a modern CPU-tuned query execution architecture, automatic and self-tuning indexes, run-time query optimization, and a modular software architecture.

Statistics
Stacks
21.3K
Stacks
13
Followers
15.5K
Followers
35
Votes
540
Votes
2
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
    The maximum number of connections is only 14000 connect
Pros
  • 2
    High Performance

What are some alternatives to Microsoft SQL Server, MonetDB?

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.

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.

InfluxDB

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.

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