Exasol Data Warehouse vs Oracle Database In-Memory comparison

Exasol and Oracle are both solutions in the Relational Databases Tools category. Exasol is ranked #33, while Oracle is ranked #11 with an average rating of 8.5. Exasol holds a 1.5% mindshare in SQL, compared to Oracle’s 2.2% mindshare. Additionally, 100% of Exasol users are willing to recommend the solution, compared to 100% of Oracle users who would recommend it.

Exasol Data Warehouse

Read 8 Exasol Data Warehouse reviews

1,391 Views
1,224 Comparison Views

100% willing to recommend

Oracle Database In-Memory

Read 33 Oracle Database In-Memory reviews

2,788 Views
1,979 Comparison Views

100% willing to recommend

Exasol Data Warehouse

Oracle Database In-Memory

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 4, 2025

Oracle Database In-Memory and Exasol Data Warehouse are direct competitors in data management, with Exasol often viewed as having the upper hand due to its advanced features and value.

Features: Oracle Database In-Memory is known for its rapid real-time analytics, stability, and user-friendly programming environment. It also offers comprehensive security features, supporting large-scale transactions. Exasol Data Warehouse is praised for its exceptional performance with large datasets, automatic optimization features, and extensive scalability, making it ideal for demanding analytic workloads. Its ability to efficiently handle SQL queries and compatibility with various data sources contribute to its strong performance.

Room for Improvement: Oracle could enhance its initial deployment process, which is traditionally more complex compared to Exasol, potentially deterring some new user engagements. While stable, it might need improvements in cost-effective scaling for very large workloads. Exasol might benefit from expanding customer support and documentation resources to ease user onboarding. It could also improve flexibility in user roles and permissions management, as those areas sometimes pose challenges compared to other systems.

Ease of Deployment and Customer Service: Oracle Database In-Memory excels in integrating seamlessly within existing Oracle ecosystems and offers robust customer service. However, its deployment can demand more technical expertise. Exasol Data Warehouse is notable for a user-friendly deployment process, which enables faster operational start and reduces the learning curve for new users.

Pricing and ROI: Oracle Database In-Memory presents a competitive setup cost, focusing on cost-effective operations with its detailed support offerings. In contrast, Exasol is recognized for yielding high ROI through its efficient data management capabilities, despite potentially higher pricing. The significant return on investment stems from reduced operational costs and enhanced data insight generation from large-scale queries.

To learn more, read our detailed Exasol Data Warehouse vs. Oracle Database In-Memory Report (Updated: June 2026).

Buyer's Guide

Exasol Data Warehouse vs. Oracle Database In-Memory

June 2026

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Review summaries and opinions

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

Categories and Ranking

Exasol Data Warehouse

Ranking in Relational Databases Tools

33rd

Average Rating

8.0

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Oracle Database In-Memory

Ranking in Relational Databases Tools

11th

Average Rating

8.8

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Embedded Database (2nd)

Mindshare comparison

As of June 2026, in the Relational Databases Tools category, the mindshare of Exasol Data Warehouse is 1.5%, up from 0.7% compared to the previous year. The mindshare of Oracle Database In-Memory is 2.2%, up from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Relational Databases Tools Mindshare Distribution
Product	Mindshare (%)
Oracle Database In-Memory	2.2%
Exasol Data Warehouse	1.5%
Other	96.3%

Relational Databases Tools

Featured Reviews

Shubham-Agarwal

Manager - Projects at Cognizant

Fast query processing and easy-to-store all the data

There are very few companies that are using Exasol, but the majority of companies are using SQL Server, Cloud or IBM Db2 Database, or any other databases. Therefore, the resources are limited, which is my only concern. So if I face any issues, limited resources are available to help me resolve the issue with Exasol. From that perspective, it can be a bit of a struggle for me to find a solution. In the next release, I would like to see better compatibility issues. Currently, Exasol has limited compatibility with other software like Python and R. For example, If I talk about SQL Server, we can connect it to big data or Python, which is also compatible with different servers.

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Hosney Osman

Technical Solution Architect at Vodafone

Real-time analytics have transformed response times and support huge data volumes with compression

I do not have any comment related to the improvement of the solution; for sure, it needs improvement, but for my use cases, it is very sufficient, and I think for the biggest companies, it needs a very powerful infrastructure. The area where improvement is required the most in the product is the UI. The problem with the UI is that it is not complex for understanding, but it needs some training to know what each button does, how it works, and the many variables needed.

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Quotes from Members

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

Pros

"We mainly chose Exasol for its performance reasons."

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

"This solution is extremely fast and very stable; you set it up and put your data on it and as long as it's structured, it self-tunes queries and doesn't require a database administrator."

"It is easy to scale."

"Performance is a top priority, and it excels in this aspect."

"We can quickly scale the solution as it works on an MPP system."

"Its speed is great."

"The most valuable feature of Exasol is its speed."

More Exasol Data Warehouse pros

"The Oracle database is easier to program and manage, and is secure."

"Database In-Memory, to me, is the most compelling reason to go to Oracle 12c, release 1."

"I find the performance features of Oracle Database In-Memory to be most beneficial."

"The on-premise version is stable. We have different teams and resources for the server side, for admin, and for development. We can easily take care of all the services and applications."

"The benefits of data compression in Oracle Database In-Memory are great because we are using data, and it saves a lot regarding sizing."

"We can integrate it with any data sources as well."

"We have recently deployed our database on cloud with Oracle Database In-Memory; we have a single standby on cloud, and on contingency occasions, we switch over to cloud and use it for four to five months."

"I cannot imagine IT today without Oracle databases."

More Oracle Database In-Memory pros

Cons

"They should improve the security features for MPP processing."

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

"The only area where we found it could improve was in custom role creation and security, and it was difficult to work with."

"You have to install Exasol drivers, and it's not easy to find or implement a driver into different systems."

"There are limited resources available to help me resolve the issue with Exasol."

"Lacks a cloud-based platform."

"It's not cloud-native so many maintenance operations require downtime."

"The price is quite expensive relative to other similar solutions, it could be more accessible in that sense."

More Exasol Data Warehouse cons

"Oracle Database In-Memory is more expensive than Azure, and the support from the Oracle team is not very good, especially since they do not have a support team in our region."

"They should improve the solution's scalability for large databases."

"Technical support is useful with the My Oracle Support website. But when I have to open a service request, I have to find a solution on my own because technical support usually doesn't understand my problem or they always ask for the same logs, same questions, and I ultimately waste my time."

"The platform’s pricing needs improvement."

"Oracle Database In-Memory appliance-based solutions can be restrictive for some applications, as they may require more flexibility in the database design to be tuned and sized to the customer's needs."

"Oracle Database In-Memory could improve by better supporting generative AI challenges, such as hallucination management."

"The product could benefit from enhancements in its graphical user interface."

"For some reason, the stats optimizer doesn't work well. We had to disable some of the Oracle’s new features that are not quite mature."

More Oracle Database In-Memory cons

Pricing and Cost Advice

"The solution's cost is mid-ranged."

"Oracle Database In-Memory is expensive."

"The solution's pricing is high."

"I rate the pricing a zero out of ten because Database In-Memory is too costly."

"The pricing is pretty good so I rate it an eight out of ten."

"The product is expensive."

"Database In-Memory is priced a bit higher than its competitors like Microsoft."

"The platform's licensing cost needs improvement."

"There is a need to make a yearly payment towards the licensing costs, after which there is any to pay towards the support cost attached to the solution."

More Oracle Database In-Memory pricing and cost advice

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Top Industries

By visitors reading reviews

Outsourcing Company

Financial Services Firm

Construction Company

Government

Financial Services Firm

14%

Comms Service Provider

Construction Company

Marketing Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	1
Midsize Enterprise	1
Large Enterprise	6

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	4
Large Enterprise	23

Questions from the Community

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What is your experience regarding pricing and costs for Oracle Database In-Memory?

The pricing for Oracle Database In-Memory is more affordable.

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What needs improvement with Oracle Database In-Memory?

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What is your primary use case for Oracle Database In-Memory?

The major use case for Oracle Database In-Memory is real-time applications that need a fast response between the application and the database directly without any latency.

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Comparisons

SQL Server vs Exasol Data Warehouse

Compared 13% of the time

Teradata vs Exasol Data Warehouse

Compared 10% of the time

Oracle Database vs Exasol Data Warehouse

Compared 8% of the time

IBM Db2 Database vs Exasol Data Warehouse

Compared 8% of the time

OpenText Analytics Database (Vertica) vs Exasol Data Warehouse

Compared 8% of the time

More Exasol Data Warehouse Competitors

SAP HANA vs Oracle Database In-Memory

Compared 11% of the time

SQL Server vs Oracle Database In-Memory

Compared 9% of the time

Oracle Database vs Oracle Database In-Memory

Compared 6% of the time

Progress OpenEdge RDBMS vs Oracle Database In-Memory

Compared 5% of the time

CockroachDB vs Oracle Database In-Memory

Compared 3% of the time

More Oracle Database In-Memory Competitors

Product Reports

Buyer's Guide

Exasol Data Warehouse

June 2026

Download Exasol Data Warehouse product report

Buyer's Guide

Oracle Database In-Memory

June 2026

Download Oracle Database In-Memory product report

Overview

Exasol Data Warehouse is renowned for its exceptional speed and automatic optimization, making it user-friendly. It enhances data processing on platforms such as Tableau, ensuring efficient dashboards for users across countries.

Exasol Data Warehouse offers an impressive performance by outperforming competitors like SQL Server and Oracle. Its automatic optimization and hands-off setup simplify deployment, while robust SQL support and self-tuning capabilities improve workflows. Users benefit from its high processing speed, supporting efficient data queries and broader workflows, alongside an intuitive interface and comprehensive documentation. Despite its performance strengths, it struggles with global recognition, connectivity, and integration. Challenges include custom role creation and security, with limited row-level security support. Users seek more frequent updates and better compatibility with languages such as Python and R. It requires specific drivers, is not cloud-native, and has a high cost. With limited resources available, security features for MPP processing need enhancement.

What are the key features of Exasol?

Impressive Speed: Outperforms counterparts in data processing, enhancing efficiency.
Automatic Optimization: Boosts performance and ease of use.
Robust SQL Support: Facilitates seamless data handling and queries.
Self-Tuning Capabilities: Reduces manual intervention for users.
Intuitive Interface: Enhances user engagement and accessibility.

What benefits should users look for in Exasol?

Enhanced Performance: Streamlines and accelerates BI functions.
Improved Dashboard Efficiency: Increases effectiveness on platforms like Tableau.
Ease of Use: Simplifies set-up with hands-off setup and self-tuning.
Broad Integration: Acts as backend for tools like MicroStrategy.
Central Data Repository: Supports critical data management across regions.

Exasol Data Warehouse is implemented to enhance performance in reporting systems and development processes, serving teams in Mexico, Colombia, and Brazil. It acts as a backend for reporting tools such as MicroStrategy while accelerating BI functions. It supports the resolutions of data issues from tools like Tableau, provides ad-hoc analysis, and manages critical data points efficiently.

Exasol

Oracle Database In-Memory enhances performance for analytics and data warehousing, addressing large data volumes with real-time processing and advanced transaction capabilities. Its columnar storage accelerates analytic queries, with stability supporting deployment across diverse scales.

Oracle Database In-Memory provides an efficient platform for mixed-workload environments, optimizing performance and accelerating query processing. Its ability to handle OLAP queries without impacting latency-critical OLTP operations aids real-time data transfer, analytics, and reporting. Users across different industries implement it for business intelligence, data transactions, and decision-making, utilizing both on-premises and cloud platforms for applications such as banking and commerce. Despite its benefits, users cite needs for improved interface, better stability, and enhanced AI capabilities. Security, integration, and technical support remain critical considerations.

What are the key features of Oracle Database In-Memory?

Enhanced Performance: Boosts analytics and data warehousing efficiency.
Advanced Security: Offers robust options like Database Vault.
Real-Time Processing: Ensures efficient data handling.
Columnar Storage: Speeds up analytic query processing.
Scalability: Supports deployment across large databases.

What benefits or ROI should users expect from Oracle Database In-Memory?

Increased Efficiency: Accelerates query processing and data management.
Improved Stability: Reliable for diverse scales and workloads.
Real-Time Insights: Facilitates immediate data analysis and decision-making.
Cost Efficiency: Potential savings on data process optimization.
Scalability: Easily supports growth and expanding data needs.

In industries like banking, Oracle Database In-Memory is pivotal for enhancing transaction processing and analytics, offering improved security and real-time data management. Businesses in commercial sectors leverage it for decision support, employing both on-premises and cloud solutions, facilitating seamless data operation and strategic advantage.

Oracle

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 SE

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Buyer's Guide

Exasol Data Warehouse vs. Oracle Database In-Memory

June 2026

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