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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Microsoft SQL Server vs PipelineDB

Microsoft SQL Server vs PipelineDB

OverviewDecisionsComparisonAlternatives

Overview

Microsoft SQL Server
Microsoft SQL Server
Stacks21.3K
Followers15.5K
Votes540
PipelineDB
PipelineDB
Stacks8
Followers20
Votes0

Microsoft SQL Server vs PipelineDB: What are the differences?

<Write Introduction here> 

1. **Data Processing Capabilities**: Microsoft SQL Server is a traditional relational database system designed for structured data storage and retrieval, whereas PipelineDB is a specialized database management system built for real-time analytics and stream processing.
2. **Data Storage Model**: SQL Server stores data in tables with rows and columns, while PipelineDB uses continuous views to store and process data streams efficiently.
3. **Query Language Support**: SQL Server supports standard SQL queries for data manipulation and retrieval, whereas PipelineDB extends PostgreSQL with extensions for real-time data processing.
4. **Stream Processing**: PipelineDB excels in handling continuous data streams and provides functionalities like windowing, tumbling, and hopping that are essential for real-time analytics, which SQL Server lacks.
5. **Scalability**: SQL Server is known for its scalability with options for distributed computing, but PipelineDB is specifically optimized for scalability in handling large volumes of data streams efficiently.
6. **Performance Optimization**: PipelineDB is designed with a focus on performance optimization for real-time data processing tasks, which might provide better performance compared to SQL Server in scenarios requiring real-time analytics.

In Summary, Microsoft SQL Server and PipelineDB differ in their data processing capabilities, data storage model, query language support, stream processing capabilities, scalability, and performance optimization for real-time analytics tasks.

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Advice on Microsoft SQL Server, PipelineDB

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
PipelineDB
PipelineDB

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

PipelineDB is an open-source relational database that runs SQL queries continuously on streams, incrementally storing results in tables.

-
No Application Code; Runs on PostgreSQL; Eliminate ETL; Efficient and Sustainable
Statistics
Stacks
21.3K
Stacks
8
Followers
15.5K
Followers
20
Votes
540
Votes
0
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
No community feedback yet
Integrations
No integrations available
PostgreSQL
PostgreSQL

What are some alternatives to Microsoft SQL Server, PipelineDB?

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.

dbForge Studio for MySQL

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

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.

dbForge Studio for Oracle

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

dbForge Studio for PostgreSQL

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

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