Compare Exasol vs. SQL Server

Exasol is ranked 20th in Relational Databases with 1 review while SQL Server is ranked 1st in Relational Databases with 18 reviews. Exasol is rated 7.0, while SQL Server is rated 8.6. The top reviewer of Exasol writes "Its speed is very good compared to other databases, but integration is lacking". On the other hand, the top reviewer of SQL Server writes "Gives me the ability to mold a process flow or modularly add in new structures". Exasol is most compared with , whereas SQL Server is most compared with Oracle Database, SAP HANA and Teradata.
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Exasol Logo
42 views|27 comparisons
SQL Server Logo
21,431 views|18,686 comparisons
Most Helpful Review
GhamdanAl-Anesi
Find out what your peers are saying about Microsoft, Oracle, Teradata and others in Relational Databases. Updated: September 2019.
371,639 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
The speed is very good compared to other databases, like SQL Server or Oracle.

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The most valuable feature is replication because we had several replicas of the SQL Server database in different geographical locations.It is one of the most stable relational databases out there.I have experience with this product for many years. I never have problems with it. It can handle a PC, and it can also handle huge data. It is fast and efficient.This solution has proven stability and operational power.Tuning Advisor suggests where to add indexes and from where to remove them. It works like an adviser.SQL Server Profiler makes finding and debugging easy.I use it to fine tune my procedures and functions.Enables us to convert to bigger DBs and more easily move or upgrade between branches.

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Cons
They don't talk very well to with other products when it comes to connectivity. Integration is lacking.

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I would like to have more replication scenarios.I would like to see native plugins built for other platforms versus having to buy third-party plugins to tap into S3 buckets and AWS Cloud. Right now, it does not have those built-in plugins.It would be nice if there was a feature to search for a specific value across multiple tables. This would save a lot of time for its users.Improvements to the indexing, columnstore indexing, and high availability groups are good improvements for future versions.Third-party services from Redgate should be built-in to it, like SQL Search.Debugging from the debugger tool functionality should be enhanced.From a DB administrator perspective, I would like to see more space requirements and space capacity history, so that we are able to see which DBs are growing, and by how much per day or week.An area for improvement would be the SQL Server process monitoring, which is quite basic and could sustain more information.

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Pricing and Cost Advice
Information Not Available
It is expensive, but you get what you pay for.Since we are a cloud-based company, there is AWS pricing on top of the SQL Server pricing. The Enterprise Edition can typically sell from around $1000 dollars a month, which is not cheap. Then, there is an additional one-time Windows cost, based on the code, which can go anywhere from $30,000 to $40,000 for the license.The setup cost is high, but it will return every penny.My advice is quite straightforward. If you know the number of users who really and truly need access to the Server then it is a no-brainer. If you do not know, then get the basic package and minimum licenses and start from there. Needless to say, users can develop/use data structures outside and then deploy onto the Server.The price has been going higher and higher. The market is quite price sensitive.This is a downside of enterprise Microsoft products.Currently, almost all of my machines are in Azure and I think it is the best way of licensing now (VM+software).​We are a Microsoft shop, so we use Active Directory. That integrates well with this product, but we did look at Oracle. We also looked at IBM. This was the best price point for us for what we were getting.​

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371,639 professionals have used our research since 2012.
Ranking
20th
Views
42
Comparisons
27
Reviews
1
Average Words per Review
448
Avg. Rating
7.0
1st
Views
21,431
Comparisons
18,686
Reviews
17
Average Words per Review
358
Avg. Rating
8.4
Top Comparisons
Compared 19% of the time.
Compared 17% of the time.
Compared 16% of the time.
Also Known As
Microsoft SQL Server, MSSQL, MS SQL
Learn
Exasol
Microsoft
Overview

We’re redefining what it means to be an analytics database company. Put simply, our high-performance in-memory analytics database gives you the power to transform how your organization works with data, on-premises, in the cloud or both – and turn it into value faster, easier and more cost effectively than ever before. What makes our analytics database different? Unrivalled performance Unlock analytics as fast as you think – and get unrivalled performance, anywhere you have data. Our database does this at scale, by processing 100's of TBs of data within milliseconds. We’re ranked the world’s fastest by TPC-H, the industry benchmark for evaluating performance. And you’ll get this anywhere you have data – be in on the cloud, on-premise or as part of a hybrid http://approach.So, when speed to value is key for building a highly successful data environment, you’ll have everything to stay ahead of your competitors. Significantly reduced TCO An intelligent, self-tuning and resource-efficient database – giving you complete cost predictability for your cloud, on-premises or hybrid strategy. There’s minimum maintenance and our database works as part of our existing infrastructure. So, you’ll get the predictability, flexibility and control to significantly minimize your TCO over the long term. Unifying AI and BI Operationalize your AI, ML and BI teams – using any BI tool and data science language. Our architecture enables you to perform advanced analytical tasks on large volumes of data – right in the database. And we’ve made it easy to bring Artificial Intelligence (AI) and Machine Learning (ML) algorithms and (BI) Business Intelligence directly to where you keep your data – so you can solve complex analytic challenges like predictive analytics with the minimum of fuss. Complete freedom to adapt and change With no platform, vendor or architecture lock-in. You’re free to adapt your data strategy to whatever you need. Our open integration framework is designed to give you the smartest and most extensible analytics database on the planet. Along with multi-platform and deployment support, our virtual schemas enable you to connect and analyse data from more sources than ever before – and the scalability options are limitless.

SQL Server is the Microsoft-driven relational database management system. This system is used to store data as well as retrieve it when necessary; these functions can be supported by individual users or by multiple users within a larger network. The Microsoft SQL Server has warehousing options, quality and integration services, management tools that are simple to implement, as well as robust tools for development.

Looking at the more technical end of things, Microsoft SQL Server uses query languages such as T-SQL and ANSI SQL. Disaster recovery is one of the product's most prominent features, in addition to in-memory performance, scalability, and corporate business intelligence capabilities.

Offer
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Learn more about SQL Server
Sample Customers
1&1 Internet SE 11880 Internet Services AG AB Svenska Spel Accarda AG Aera Technology Inc. AGRAVIS Raiffeisen AG Apotheken-Rechen-Zentrum GmbH AQR Capital Management, LLC arvato distribution GmbH ARZ Allgemeines Rechenzentrum GmbH Badoo Limited Baur Versand (GmbH & Co. KG) BIScience Ltd Blocket Blue Yonder GmbH Codilink UK Ltd T/A Coniq crealytics GmbH dailyme TV GmbH Dailymotion S.A. Dataforce Verlagsgesellschaft für Business Information mbH Deutsche Postbank AG Digitales Rezept Zentrum GmbH DIKW Groep direct services Gütersloh GmbH DR Technologies Ltd. dress-for-less GmbH econda GmbH emetriq GmbH empiriecom GmbH & Co. KG Flaconi GmbH Fresenius Netcare GmbH Fyber GmbH GfK SE Grant Street Group, Inc. Gruner + Jahr GmbH Gymshark UK Hahn Air Lines GmbH Hermes Einrichtungs Service GmbH & Co. KG INNOVATIVE SCHEDULING, LLC internetstores GmbH INTERSPORT Deutschland eG IQVIA Commercial GmbH & Co. OHG IQVIA Commercial Sp. z o.o. IQVIA Incorporated iVantage Health Analytics K - Mail Order GmbH & Co. KG LIQ CORP SA Manor AG Basel Match2Lists Limited MEDION AG Midasplayer AB Monsoon Accessorize Limited m-pathy GmbH msales Ltd. MTG Modern Services AB MW Aviation GmbH & Co. KG Myntra Designs Pvt Ltd Netzeffekt GmbH New Company Services Ltd. NOVENTI HealthCare GmbH Olympus Europa SE & Co. KG Operation Fistula OpsDataStore OTTO (GmbH & Co KG) Panda Retail Co. PAPSTAR GmbH Piedmont Healthcare, Inc. Questback GmbH RatePAY GmbH Revolut Ltd. Saarland-Sporttoto GmbH Sagarmatha Ltd. SIA Damara Technologies Supermärkte Nord Vertriebs GmbH & Co. KG The National Research Center for College & University Admissions, Inc. United Utilities Water Ltd. Verlag C.H. Beck oHG Vocal Planet Ltd. Vodafone Group Services GmbH Webtrekk GmbH wer liefert was? GmbH Windeln.de SE Wooga GmbH XING SE Zalando SEMicrosoft SQL Server is used by businesses in every industry, including Great Western Bank, Aviva, the Volvo Car Corporation, BMW, Samsung, Principality Building Society, Wellmark Blue Cross and Blue Shield, and the Catholic District School Board of Eastern Ontario.
Top Industries
No Data Available
REVIEWERS
Logistics Company9%
Transportation Company9%
Software R&D Company9%
Retailer9%
VISITORS READING REVIEWS
Software R&D Company22%
Comms Service Provider18%
Financial Services Firm10%
Insurance Company6%
Find out what your peers are saying about Microsoft, Oracle, Teradata and others in Relational Databases. Updated: September 2019.
371,639 professionals have used our research since 2012.
We monitor all Relational Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
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