SAP Data Services vs StreamSets comparison

SAP and IBM are both solutions in the Data Integration category. SAP is ranked #10 with an average rating of 8.2, while IBM is ranked #9 with an average rating of 8.4. SAP holds a 2.8% mindshare in DI, compared to IBM’s 1.8% mindshare. Additionally, 85% of SAP users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

SAP Data Services

Read 48 SAP Data Services reviews

5,040 Views
4,038 Comparison Views

85% willing to recommend

StreamSets

Read 22 StreamSets reviews

2,905 Views
1,916 Comparison Views

100% willing to recommend

SAP Data Services

StreamSets

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

SAP Data Services and StreamSets are leading competitors in the data integration tools category. SAP Data Services is considered stronger due to its robust ETL and integration features, while StreamSets is preferred for user-friendliness and flexibility.

Features: SAP Data Services offers comprehensive ETL capabilities, seamless integration with SAP systems, and robust data quality transforms. It efficiently manages data migration and provides a rich toolset for data transformation. StreamSets focuses on easy pipeline design, requiring minimal coding, and integrates well with modern analytics platforms. It supports a wide range of data sources and provides a user-friendly interface even for non-technical users.

Room for Improvement: SAP Data Services struggles with web service integration, complex error logging, and lacks a web client. It is less intuitive compared to similar tools and has cumbersome support for data transformations. StreamSets requires enhancements in logging, error handling, and real-time processing support. It also needs better security features and improved data flow visualization. SAP users seek easier non-SAP integration and better support for big data, while StreamSets could be more intuitive with enhanced documentation.

Ease of Deployment and Customer Service: SAP Data Services is designed for on-premises deployment, making it suitable for SAP environments but restricting flexibility. StreamSets supports a variety of deployment options, including public and hybrid cloud, offering greater adaptability. SAP's technical support is well-regarded but often slow and complex. StreamSets provides satisfactory customer service but could be more responsive. Both face issues with service turnaround times and need better support for cloud features.

Pricing and ROI: SAP Data Services is known for high pricing, particularly challenging for smaller businesses, yet offers ROI by reducing deployment time and managing data quality effectively. StreamSets offers open-source options and various licensing models, which are cost-effective long-term due to scalability and low monthly fees. While SAP is seen as costly for smaller enterprises, it provides significant enterprise data management benefits. StreamSets appeals due to its affordability, yet the pricing efficacy varies by company size and resource requirements.

To learn more, read our detailed SAP Data Services vs. StreamSets Report (Updated: November 2024).

Buyer's Guide

SAP Data Services vs. StreamSets

November 2024

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Categories and Ranking

SAP Data Services

Ranking in Data Integration

10th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Quality (2nd)

StreamSets

Ranking in Data Integration

9th

Average Rating

8.4

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of December 2024, in the Data Integration category, the mindshare of SAP Data Services is 2.8%, down from 3.4% compared to the previous year. The mindshare of StreamSets is 1.8%, up from 1.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

RambabuMandala

Software Development Senior Advisor at Dell EMC

Responsive support, scalable, and beneficial integration

The BA reporting tools, such as Data Services, and ETL tool in SAP Data Services are the most valuable. When we had in-memory requirements, we used HANA. HANA is most preferably for most the customers for in-memory. SAP is the first company that created the in-memory concept. There are a lot of SAP applications and they have good integration with SAP packages. In the next release, they should be more advanced cloud functionalities and web services. More integration with other applications including SAPs and other applications. They should not switch to a complete solution but provide better integration with other applications.

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Reyansh Kumar

Technical Specialist at Accenture

We no longer need to hire highly skilled data engineers to create and monitor data pipelines

The things I like about StreamSets are its * overall user interface * efficiency * product features, which are all good. Also, the scheduling within the data engineering pipeline is very much appreciated, and it has a wide range of connectors for connecting to any data sources like SQL Server, AWS, Azure, etc. We have used it with Kafka, Hadoop, and Azure Data Factory Datasets. Connecting to these systems with StreamSets is very easy. You just need to configure the data sources, the paths and their configurations, and you are ready to go. It is very efficient and very easy to use for ETL pipelines. It is a GUI-based interface in which you can easily create or design your own data pipelines with just a few clicks. As for moving data into modern analytics systems, we are using it with Microsoft Power BI, AWS, and some on-premises solutions, and it is very easy to get data from StreamSets into them. No hardcore coding or special technical expertise is required. It is also a no-code platform in which you can configure your data sources and data output for easy configuration of your data pipeline. This is a very important aspect because if a tool requires code development, we need to hire software developers to get the task done. By using StreamSets, it can be done with a few clicks.

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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

"The fact that it's built on SQL, it makes it easy to write code. The database and the connection are quite smooth."

"The product's most valuable features are data validation and rules."

"The initial setup is not complex."

"Its integration capabilities and the data migration capabilities are the most valuable. It is very good for SAP and non-SAP tools. It has very good integration with SAP, but it also has the capabilities to connect to other systems. We find it very helpful and stable."

"You can always manipulate a lot of things as long as you have the skill level."

"Data Services' best features are its robustness and plug-and-play integration with other SAP applications."

"The maintenance of data services is the solution's most valuable feature."

"I appreciate having access to the SAP data."

More SAP Data Services pros

"The ETL capabilities are very useful for us. We extract and transform data from multiple data sources, into a single, consistent data store, and then we put it in our systems. We typically use it to connect our Apache Kafka with data lakes. That process is smooth and saves us a lot of time in our production systems."

"The ability to have a good bifurcation rate and fewer mistakes is valuable."

"For me, the most valuable features in StreamSets have to be the Data Collector and Control Hub, but especially the Data Collector. That feature is very elegant and seamlessly works with numerous source systems."

"I have used Data Collector, Transformer, and Control Hub products from StreamSets. What I really like about these products is that they're very user-friendly. People who are not from a technological or core development background find it easy to get started and build data pipelines and connect to the databases. They would be comfortable like any technical person within a couple of weeks."

"The best feature that I really like is the integration."

"It's very easy to integrate. It integrates with Snowflake, AWS, Google Cloud, and Azure. It's very helpful for DevOps, DataOps, and data engineering because it provides a comprehensive solution, and it's not complicated."

"The scheduling within the data engineering pipeline is very much appreciated, and it has a wide range of connectors for connecting to any data sources like SQL Server, AWS, Azure, etc. We have used it with Kafka, Hadoop, and Azure Data Factory Datasets. Connecting to these systems with StreamSets is very easy."

"It is really easy to set up and the interface is easy to use."

More StreamSets pros

Cons

"Some of the jobs that are built within Data Services require local files, and during initial deployment, those local files cannot be transported between machines simply because of security issues."

"An area for improvement in SAP Data Services could involve making the product more accessible to non-technical end-users."

"The solution should improve connectivity with more source systems and target systems."

"At the integration level, there could be certain set of improvement to connect to various other systems."

"It will work fine only in an SAP environment. It could be said that the integration with other vendors could be better."

"The initial setup is complex."

"Source code control is another headache. When your source code base gets too large, managing the source code becomes cumbersome."

"It's an ETL that is very good with relational databases but not as good with files and semi-structured files."

More SAP Data Services cons

"The data collector in StreamSets has to be designed properly. For example, a simple database configuration with MySQL DB requires the MySQL Connector to be installed."

"One thing that I would like to add is the ability to manually enter data. The way the solution currently works is we don't have the option to manually change the data at any point in time. Being able to do that will allow us to do everything that we want to do with our data. Sometimes, we need to manually manipulate the data to make it more accurate in case our prior bifurcation filters are not good. If we have the option to manually enter the data or make the exact iterations on the data set, that would be a good thing."

"Currently, we can only use the query to read data from SAP HANA. What we would like to see, as soon as possible, is the ability to read from multiple tables from SAP HANA. That would be a really good thing that we could use immediately. For example, if you have 100 tables in SQL Server or Oracle, then you could just point it to the schema or the 100 tables and ingestion information. However, you can't do that in SAP HANA since StreamSets currently is lacking in this. They do not have a multi-table feature for SAP HANA. Therefore, a multi-table origin for SAP HANA would be helpful."

"The documentation is inadequate and has room for improvement because the technical support does not regularly update their documentation or the knowledge base."

"The execution engine could be improved. When I was at their session, they were using some obscure platform to run. There is a controller, which controls what happens on that, but you should be able to easily do this at any of the cloud services, such as Google Cloud. You shouldn't have any issues in terms of how to run it with their online development platform or design platform, basically their execution engine. There are issues with that."

"The software is very good overall. Areas for improvement are the error logging and the version history. I would like to see better, more detailed error logging information."

"There aren't enough hands-on labs, and debugging is also an issue because it takes a lot of time. Logs are not that clear when you are debugging, and you can only select a single source for a pipeline."

"StreamSet works great for batch processing but we are looking for something that is more real-time. We need latency in numbers below milliseconds."

More StreamSets cons

Pricing and Cost Advice

"Speaking about prices, Oracle and SAP are market leaders. So, the prices are more."

"The license price is expensive but medium to large-scale companies, should be able to afford it. Other solutions, such as Talend are easier to afford for smaller companies. Depending on the sources of the data where you are receiving your data you could be paying for more than one license."

"There is a one time purchase fee plus annual maintenance."

"The pricing is a little high to make the product more competetive in the marketplace."

"The product’s on-premise version is expensive for a medium-sized company."

"The price of SAP Data Services is a little high when compared to other solutions. Due to the pricing and capabilities, many clients are switching to other solutions."

"I rate the product price as one or two on a scale of one to ten, where one is a low price, and ten is a high price."

"The enterprise version of SAP Data Services is free."

More SAP Data Services pricing and cost advice

"StreamSets Data Collector is open source. One can utilize the StreamSets Data Collector, but the Control Hub is the main repository where all the jobs are present. Everything happens in Control Hub."

"There are two editions, Professional and Enterprise, and there is a free trial. We're using the Professional edition and it is competitively priced."

"The overall cost is very flexible so it is not a burden for our organization... However, the cost should be improved. For small and mid-size organizations it might be a challenge."

"We are running the community version right now, which can be used free of charge."

"The pricing is too fixed. It should be based on how much data you need to process. Some businesses are not so big that they process a lot of data."

"There are different versions of the product. One is the corporate license version, and the other one is the open-source or free version. I have been using the corporate license version, but they have recently launched a new open-source version so that anybody can create an account and use it. The licensing cost varies from customer to customer. I don't have a lot of input on that. It is taken care of by PMO, and they seem fine with its pricing model. It is being used enterprise-wide. They seem to have got a good deal for StreamSets."

"We use the free version. It's great for a public, free release. Our stance is that the paid support model is too expensive to get into. They should honestly reevaluate that."

"It's not expensive because you pay per month, and the tasks you can perform with it are huge. It's reliable and cost-effective."

More StreamSets pricing and cost advice

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Top Industries

By visitors reading reviews

Manufacturing Company

16%

Computer Software Company

12%

Financial Services Firm

Government

Financial Services Firm

17%

Computer Software Company

10%

Manufacturing Company

10%

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

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...

See all answers

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...

See all answers

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...

See all answers

What do you like most about StreamSets?

The best thing about StreamSets is its plugins, which are very useful and work well with almost every data source. It's also easy to use, especially if you're comfortable with SQL. You can customiz...

See all answers

What needs improvement with StreamSets?

We often faced problems, especially with SAP ERP. We struggled because many columns weren't integers or primary keys, which StreamSets couldn't handle. We had to restructure our data tables, which ...

See all answers

What is your primary use case for StreamSets?

StreamSets is used for data transformation rather than ETL processes. It focuses on transforming data directly from sources without handling the extraction part of the process. The transformed data...

See all answers

Comparisons

Syniti Data Quality vs SAP Data Services

Compared 20% of the time

Azure Data Factory vs SAP Data Services

Compared 13% of the time

Informatica PowerCenter vs SAP Data Services

Compared 8% of the time

Palantir Foundry vs SAP Data Services

Compared 7% of the time

SAP Process Orchestration vs SAP Data Services

Compared 7% of the time

More SAP Data Services Competitors

Informatica PowerCenter vs StreamSets

Compared 13% of the time

IBM InfoSphere DataStage vs StreamSets

Compared 10% of the time

Fivetran vs StreamSets

Compared 10% of the time

webMethods.io vs StreamSets

Compared 8% of the time

Azure Data Factory vs StreamSets

Compared 8% of the time

More StreamSets Competitors

Product Reports

Buyer's Guide

SAP Data Services

November 2024

Download SAP Data Services product report

Buyer's Guide

StreamSets

November 2024

Download StreamSets product report

Also Known As

SAP BusinessObjects Data Services, SAP BusinessObjects Data Integrator, BusinessObjects Data Integrator

No data available

Learn More

SAP

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IBM

Overview

SAP Data Services is a top-ranking data integration and data quality tool. This is a product that aims to provide its users with effective access to their data in order to transform it and connect it to various business processes. SAP Data Services offers companies detailed data insights which improve decision-making and make company operations more effective.

Organizations can increase the value of their structured and unstructured data with the functionalities of this product regarding data integration, quality, and cleansing. Through various components such as:

Simplified maintenance
On-premises deployment
Data quality and integration
Intuitive user interfaces

the product transforms data into a ready-to-use resource for business insights.

Some of the key components of SAP Data Services include:

Universal data access
Native-text data processing
Intuitive user interfaces
Data quality dashboards
Simplified data governance
Scalability and high performance

Through these components, the product allows its clients to access and integrate data sources and targets with native connectors. Users can derive meaning from unstructured text data, match data to reduce duplicates, and see the impact of data quality issues. The tool also offers the option to enable parallel processing, bulk data loading, and grid computing for high-volume data loads.

SAP Data Services Features

The solution has different features for data integration, data quality, data profiling, and processing of text data. Using these features, clients can manage their company's data easily and achieve excellent results by optimizing it. Some of the product’s features include:

Data integration capabilities: The features regarding data integration provide a wide variety of opportunities. The product is available in 31 languages and connects to many data sources, providing its clients with access to their data anywhere at any time. It is also integrated with the SAP Business Suite applications, allowing users the full experience that the company has to offer. The tool is interconnected with SAP Data Hub, orchestrating data flows through the SAP Data Intelligence solution. Additionally, it supports a large number of third-party data sources, it is optimized for SAP HANA, and provides fine-tuned data replication and transformation through unique mechanisms.
Data quality capabilities: Clients can use a single interface to access designing, testing, debugging, editing, running, maintaining, and monitoring of data integration and data quality. It allows for the delivery of ready-to-use transformations and exposes hidden problems in users' data. With this feature, clients can build a single version of their data that is most efficient for them.
Data profiling capabilities: Companies that work with high-volume data can employ parallel processing, bulk data loading, and grid computing to be able to operate with the data more efficiently. This feature enables unlimited scalability and high availability by various automations. It also provides excellent security for the treated data through encryption and other services.
Processing of text data capabilities: This feature allows users to extract data from unstructured texts and understand it better. It works with 220 different file and text formats and 31 languages.

SAP Data Services Benefits

This solution offers various benefits to its clients regarding the efficient operation of their data. The key benefits of SAP Data Services include:

Broad access to data which can build a better perspective for companies of their information.
Improved decision-making and information management due to efficient data operations.
Ability to utilize various tools to help unify data on premises, in the cloud, or within big data.
The software provides efficient insight for reporting and data analytics.
The tool allows for easy integration with a large number of different databases.
The product provides the opportunity to seamlessly connect with other SAP solutions.
The solution simplifies extract, transform, and load (ETL) construction processes through intuitive graphic software.

Reviews from Real Users

According to Michael Lutz, senior data warehouse developer at Fox Chase Cancer Center, SAP Data Services is a powerful tool that does a lot.

An associate consultant at a consultancy says the tool is easy to use, simple to implement, and offers very good mapping capabilities.

StreamSets is a data integration platform that enables organizations to efficiently move and process data across various systems. It offers a user-friendly interface for designing, deploying, and managing data pipelines, allowing users to easily connect to various data sources and destinations. StreamSets also provides real-time monitoring and alerting capabilities, ensuring that data is flowing smoothly and any issues are quickly addressed.

Sample Customers

EMC Corporation, LivePerson, Eldorado, Mozzart, The VELUX Group, AOK Bundesverband, Hilti Group, Nissha Printing Company Ltd., Asian Paints, Aareal Bank Group, Migros Group

Availity, BT Group, Humana, Deluxe, GSK, RingCentral, IBM, Shell, SamTrans, State of Ohio, TalentFulfilled, TechBridge

Buyer's Guide

SAP Data Services vs. StreamSets

November 2024

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