Overview

Microsoft SQL Server

Stacks21.3K

Followers15.5K

Votes540

CrateIO

Stacks19

Followers39

Votes7

GitHub Stars4.3K

Forks581

CrateIO vs Microsoft SQL Server: What are the differences?

# Introduction
Below are the key differences between CrateIO and Microsoft SQL Server.

1. **Data Structure**: CrateIO uses a shared-nothing architecture, while Microsoft SQL Server utilizes a shared-disk architecture. This means that CrateIO allows for horizontally scalable clusters, making it suitable for handling massive amounts of data in a distributed environment, whereas Microsoft SQL Server is more appropriate for transactional systems with complex relationships and dependencies.

2. **Query Language**: CrateIO primarily uses SQL for querying data, which makes it easy for users familiar with SQL to interact with the database. On the other hand, Microsoft SQL Server supports SQL as well but also provides T-SQL (Transact-SQL) as an extension, which includes additional features and functionalities not available in standard SQL.

3. **Ease of Deployment**: CrateIO is easy to deploy and manage due to its containerization approach, allowing for quick provisioning and scaling of resources. In contrast, Microsoft SQL Server requires more complex setup and maintenance procedures, making it less flexible for rapidly changing or dynamic environments.

4. **Performance Tuning**: In terms of performance tuning, CrateIO offers automatic shard rebalancing and self-healing capabilities, optimizing query execution across nodes in the cluster. Microsoft SQL Server, on the other hand, provides more fine-grained control over indexing, query plans, and caching mechanisms for optimizing performance based on specific workload requirements.

5. **License and Cost**: CrateIO is open-source and available under the Apache 2.0 license, making it a cost-effective solution for organizations looking to minimize licensing fees. In contrast, Microsoft SQL Server is a commercial product that requires licensing fees based on factors such as the number of cores or users, which can significantly impact the total cost of ownership.

6. **Community Support**: CrateIO has a vibrant community of developers and contributors who actively participate in the project's development, providing timely updates, patches, and support through forums and documentation. While Microsoft SQL Server also has a supportive community, the level of engagement and availability of resources may vary compared to open-source projects like CrateIO.

In Summary, CrateIO and Microsoft SQL Server differ in terms of architecture, query language, ease of deployment, performance tuning, licensing, and community support.

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Advice on Microsoft SQL Server, CrateIO

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.

668k views668k

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Josip

Senior frontend developer

Aug 31, 2021

Decided

Needed to transform intranet desktop application to the web-based one, as mid-term project. My choice was to use Django/Angular stack - Django since it, in conjunction with Python, enabled rapid development, an Angular since it was stable and enterprise-level framework. Deadlines were somewhat tight since the project to migrate was being developed for several years and had a lot of domain knowledge integrated into it. Definitely was good decision, since deadlines was manageable, juniors were able to enter the project very quickly and we were able to continuously deploy very well.

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Detailed Comparison

Microsoft SQL Server	CrateIO
Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.	Crate is a distributed data store. Simply install Crate directly on your application servers and make the big centralized database a thing of the past. Crate takes care of synchronization, sharding, scaling, and replication even for mammoth data sets.
-	Familiar SQL syntax;Semi-structured data;High availability, resiliency, and scalability in a distributed design;Powerful Lucene based full-text search
Statistics
GitHub Stars -	GitHub Stars 4.3K
GitHub Forks -	GitHub Forks 581
Stacks 21.3K	Stacks 19
Followers 15.5K	Followers 39
Votes 540	Votes 7
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 3 Simplicity 2 Open source 2 Scale
Integrations
No integrations available	Docker

What are some alternatives to Microsoft SQL Server, CrateIO?

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.