Overview

Microsoft SQL Server

Stacks21.3K

Followers15.5K

Votes540

Exasol

Stacks15

Followers17

Votes6

Exasol vs Microsoft SQL Server: What are the differences?

**Introduction:**
In the realm of database management systems, Exasol and Microsoft SQL Server stand out as popular choices for organizations. Both offer unique features and functionalities tailored to different needs. Here, we delve into key differences between Exasol and Microsoft SQL Server to help you make an informed decision.

**1. Scalability:** Exasol is known for its exceptional scalability, designed to handle massive amounts of data with its in-memory processing capability. On the other hand, Microsoft SQL Server offers scalability through its partitioning feature, allowing for distributing data across multiple nodes.

**2. Performance:** Exasol shines in terms of performance, leveraging a massively parallel processing (MPP) architecture to execute queries at lightning-fast speeds. In comparison, Microsoft SQL Server's performance is commendable but may not match the speed of Exasol for complex analytical workloads.

**3. Licensing Costs:** Exasol typically follows a subscription-based pricing model, making it cost-effective for organizations with large volumes of data. In contrast, Microsoft SQL Server often incurs licensing costs for additional features and functionalities, which can significantly impact the overall cost for users.

**4. Data Integration:** Exasol offers robust support for data integration with various tools and technologies, making it easier for businesses to ingest and analyze diverse data sources seamlessly. Meanwhile, Microsoft SQL Server comes with its Integration Services (SSIS) for data movement and transformation, providing a comprehensive solution within its ecosystem.

**5. Ecosystem Integration:** Exasol integrates well with a wide range of third-party tools and technologies, allowing for seamless interoperability within existing data ecosystems. Conversely, Microsoft SQL Server boasts tight integration with other Microsoft products and services, offering a cohesive ecosystem that caters to Microsoft-centric infrastructures.

**6. Community Support:** Exasol has a smaller community compared to Microsoft SQL Server, which may result in limited resources for troubleshooting and support. In contrast, Microsoft SQL Server benefits from a vast community of users and developers, providing extensive resources and knowledge-sharing opportunities for users.

In Summary, Exasol excels in scalability, performance, and cost-efficiency, while Microsoft SQL Server offers robust integration capabilities, a well-established ecosystem, and extensive community support. Organizations must evaluate their specific requirements to choose the most suitable database management system for their needs.

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Advice on Microsoft SQL Server, Exasol

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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Detailed Comparison

Microsoft SQL Server	Exasol
Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.	It is an intelligent, self-tuning and resource-efficient database. Use the unrivalled performance of our analytics database and deploy anywhere, whether that’s on cloud, on-premises, or with a hybrid strategy – turning your organization’s insights into real value faster, easier and more cost effectively than ever before.
-	Unlock analytics as fast as you think; An intelligent, self-tuning and resource-efficient database; Consolidate AI, ML and BI for both standard and advanced analytics, directly in the database – using any data science language; There’s no platform, vendor or architecture lock-in with the Exasol Analytics Database
Statistics
Stacks 21.3K	Stacks 15
Followers 15.5K	Followers 17
Votes 540	Votes 6
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 1 Fast 1 Easy 1 On-prem 1 Cloud 1 Great on old hardware (or new)
Integrations
No integrations available	Hadoop

What are some alternatives to Microsoft SQL Server, Exasol?

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.