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Elastic Search vs SAP Data Services comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

ROI

Sentiment score
5.9
Organizations had mixed ROI with Elasticsearch; some saved on costs using open-source, while others faced high licensing fees.
Sentiment score
6.7
SAP Data Services delivers 300% ROI, cuts costs and time, enhances data quality, and offers rapid deployment with advanced technology.
It is stable, and we do not encounter critical issues like server downtime, which could result in data loss.
The main benefits observed from using Elastic Search include improvements in operational efficiency, along with cost, time, and resource savings.
We have not purchased any licensed products, and our use of Elastic Search is purely open-source, contributing positively to our ROI.
SAP is indeed good at all this now, with so many components such as SAP Signavio, SAP EINS, SAP Work Zone, SAP ALM, Cloud ALM, SAP public cloud, SAP private cloud, and BTP, all of which are essential to meet the latest cutting-edge technologies.
 

Customer Service

Sentiment score
6.4
Elastic Search's support receives varied feedback, with users favoring community resources and some noting slower official assistance.
Sentiment score
6.7
SAP Data Services customer support is praised for technical expertise but criticized for response delays and limited language options.
I would rate technical support from Elastic Search as three out of ten.
If you keep a high priority issue, such as a production impact, they certainly come and address it in no time.
Unlike level one where they basically search for the notes and provide responses, level two and level three are much better.
 

Scalability Issues

Sentiment score
7.2
Elastic Search is scalable, especially in cloud environments, but high-volume scalability requires careful planning and infrastructure investment.
Sentiment score
7.4
SAP Data Services is highly scalable, effectively supporting varied enterprise sizes with excellent workload management and expansion ratings.
I would rate its scalability a ten.
Elastic Search requires enhancements for handling huge amounts of data and updates.
I can actually add more storage and memory because I host it in the cloud.
If I were to rate it from one to 10, I would say it has a nine to 10 for scalability.
 

Stability Issues

Sentiment score
7.6
Elastic Search is generally stable, but performance can vary due to infrastructure, version changes, and configuration requirements.
Sentiment score
7.6
SAP Data Services is stable and reliable, with occasional crashes but generally user-friendly across various sectors, including telecom.
The data transfer sometimes exceeded the bandwidth limits without proper notification, which caused issues.
The stability of Elasticsearch was very high.
 

Room For Improvement

Elastic Search requires enhancements in security, scalability, user experience, integration, documentation, and support for enterprise needs.
SAP Data Services faces integration, performance, customization, and cost challenges, needing interface improvements and better multilingual and technical support.
This can create problems for new developers because they have to quickly switch to another version.
The architecture of Elastic Search could be improved as it is complicated for most general users to build up the environment and maintain the cluster.
The consistency and stability of Elasticsearch are commendable, and they should keep up the good work.
Now, they are coming up with many pricing options, which is tricky; they offer one thing for free, but charge for nine others.
The documentation is not up to the mark.
 

Setup Cost

Elastic Search's free version can become costly for enterprises due to premium features, node-based pricing, and scalability challenges.
SAP Data Services pricing is high, appealing to enterprises, with costs influenced by licensing, maintenance, and usage-based models.
We used the open-source version of Elasticsearch, which was free.
 

Valuable Features

Elastic Search offers efficient search, scalability, and integration with Kibana and Logstash, providing affordable features and handling diverse data.
SAP Data Services offers robust ETL, integration, data quality features, user-friendly interface, SQL support, and scalable connectivity.
The most valuable feature of Elasticsearch was the quick search capability, allowing us to search by any criteria needed.
Elastic Search makes handling large data volumes efficient and supports complex search operations.
I appreciate the indexing capabilities and the speed of indexing in their product, which demonstrates how quickly logs are collected and stored.
SAP is indeed good at all this now, with so many components such as SAP Signavio, SAP EINS, SAP Work Zone, SAP ALM, Cloud ALM, SAP public cloud, SAP private cloud, and BTP, all of which are essential to meet the latest cutting-edge technologies.
SAP Data Services is mainly used for extraction of data, and it works with all databases.
 

Categories and Ranking

Elastic Search
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
72
Ranking in other categories
Indexing and Search (1st), Cloud Data Integration (10th), Search as a Service (1st), Vector Databases (3rd)
SAP Data Services
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
51
Ranking in other categories
Data Integration (11th), Data Quality (2nd)
 

Featured Reviews

Anand_Kumar - PeerSpot reviewer
Captures data from all other sources and becomes a MOM aka monitoring of monitors
Scalability and ROI are the areas they have to improve. Their license terms are based on the number of cores. If you increase the number of cores, it becomes very difficult to manage at a large scale. For example, if I have a $3 million project, I won't sell it because if we're dealing with a 10 TB or 50 TB system, there are a lot of systems and applications to monitor, and I have to make an MOM (Mean of Max) for everything. This is because of the cost impact. Also, when you have horizontal scaling, it's like a multi-story building with only one elevator. You have to run around, and it's not efficient. Even the smallest task becomes difficult. That's the problem with horizontal scaling. They need to improve this because if they increase the cores and adjust the licensing accordingly, it would make more sense.
Ramesh Pampana - PeerSpot reviewer
Has consistently provided impressive data handling capabilities and robust security features
Some of the most valuable features of SAP Data Services include data extraction where SAP is the best in that perspective, but when it comes to analytics or the reporting tool, I prefer to connect with Microsoft Power BI, which is a fantastic tool. Typically, from an end-user perspective, SAP has a huge amount of data, in terms of terabytes of data, but when you analyze that, the best form of visualization is always through Microsoft Power BI. SAP Data Services provides a best-in-class return on investment, as SAP's vision and forecast are absolutely amazing. They are ahead of technology, building an ecosystem that meets the standards of the fast-changing digital economy. SAP is indeed good at all this now, with so many components such as SAP Signavio, SAP EINS, SAP Work Zone, SAP ALM, Cloud ALM, SAP public cloud, SAP private cloud, and BTP, all of which are essential to meet the latest cutting-edge technologies.
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Top Industries

By visitors reading reviews
Computer Software Company
15%
Financial Services Firm
13%
Government
9%
Manufacturing Company
8%
Manufacturing Company
15%
Computer Software Company
11%
Government
9%
Financial Services Firm
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about ELK Elasticsearch?
Logsign provides us with the capability to execute multiple queries according to our requirements. The indexing is very high, making it effective for storing and retrieving logs. The real-time anal...
What is your experience regarding pricing and costs for ELK Elasticsearch?
We used the open-source version of Elasticsearch, which was free.
What needs improvement with ELK Elasticsearch?
It would be useful if a feature for renaming indices could be added without affecting the performance of other features. However, overall, the consistency and stability of Elasticsearch are already...
How do you evaluate the ratio of price to quality for SAP Data Services?
I believe the license for the product is fair, even though some competitors offer similar services at lower prices. The difference between the Edge edition and the next one up is significant in pr...
Would you recommend SAP Data Services to complete beginners?
I think after some preparation, a beginner will be able to use SAP Data Services, however, if you are completely unprepared, you may have some issues. I think that in particular you will need a mo...
How has SAP Data Services helped your organization?
SAP Data Services has helped our whole staff understand the data across various sources and systems within the company. Not everyone who works at my organization is an IT expert - most just have av...
 

Also Known As

Elastic Enterprise Search, Swiftype, Elastic Cloud
SAP BusinessObjects Data Services, SAP BusinessObjects Data Integrator, BusinessObjects Data Integrator
 

Overview

 

Sample Customers

T-Mobile, Adobe, Booking.com, BMW, Telegraph Media Group, Cisco, Karbon, Deezer, NORBr, Labelbox, Fingerprint, Relativity, NHS Hospital, Met Office, Proximus, Go1, Mentat, Bluestone Analytics, Humanz, Hutch, Auchan, Sitecore, Linklaters, Socren, Infotrack, Pfizer, Engadget, Airbus, Grab, Vimeo, Ticketmaster, Asana, Twilio, Blizzard, Comcast, RWE and many others.
EMC Corporation, LivePerson, Eldorado, Mozzart, The VELUX Group, AOK Bundesverband, Hilti Group, Nissha Printing Company Ltd., Asian Paints, Aareal Bank Group, Migros Group
Find out what your peers are saying about Elastic Search vs. SAP Data Services and other solutions. Updated: July 2025.
865,384 professionals have used our research since 2012.