Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration.
It saves us the effort of having one to two data engineers managing the tasks that Fivetran handles.
The tool has made us tremendously more efficient and saved us a significant amount of money.
Using SSIS has proven cost-effective as there are no additional fees outside the SQL Server license, and it significantly enhances data management efficiency.
If they could provide support more quickly, that would be great.
The technical support provided by Fivetran has generally been good, with a response time and competence that I would rate as good.
The Salesforce team offers different levels of support.
The support team is responsive and helpful.
The first line of support needs to be more knowledgeable.
MuleSoft Anypoint Platform is quite scalable, and it meets our use cases with no issues preventing implementation.
MuleSoft provides the ability to scale, yet it is costly to do so.
They have 99.9% accuracy on the data load and they maintain transparency.
During the duration of the time that we used Fivetran, it was highly stable.
It processes large volumes of data quickly.
From a cost perspective, if the number of connectors is lesser, then Fivetran is not the most cost-efficient option.
Fivetran could improve by adapting more for technical users and by providing more options for such users.
If Fivetran can build in more transformations, that would be really helpful in my opinion.
MuleSoft is considered expensive, so pricing is a major concern.
When dealing with multiple transactions or trading, the system can lose control, and tracking becomes hectic.
Currently, it uses other standards, but adopting OpenAPI, the standard in the market, would be beneficial.
Within the South African context, if you are getting your enterprise agreement from First Technology, they don't provide support.
SSIS has a difficult learning curve when dealing with complex transformations.
The logging capabilities could be improved, particularly for error logging.
Our current yearly contract for Fivetran is approximately $70,000.
MuleSoft is considered one of the more expensive products in the market.
I do not know the specific costs, but given that it is part of MuleSoft, I suspect it is not cheap.
The platform reduces manual workload in maintaining infrastructure, but it does come with some cost considerations.
Utilizing SSIS involves no extra charges beyond the SQL Server license.
It was included in our licensing for SQL server, and our licensing for SQL server was extremely cheap, making it a very good price point for us.
The most valuable feature of Fivetran is its built-in connectors for a wide range of data sources.
The real-time data replication is what I see best in the market where it reduces the overhead of customers needing to maintain the pipeline.
The ability to seamlessly integrate with a large variety of data sources is valuable.
The most valuable feature is the full lifecycle management, including Anypoint Designer and Exchange, as well as Discofolio API.
The platform is integrated with Salesforce, making it preferable when using Salesforce products.
MuleSoft Anypoint Platform helps to standardize data integration approaches, making it easier to implement integration projects.
I would rate it at a 10 as it is highly reliable; we have never had any problems with it.
One of the best aspects of SSIS is that it is built into Microsoft SQL Server, so there are no additional costs involved.
SSAS is included in the base installation of SQL Server.
Product | Market Share (%) |
---|---|
Fivetran | 2.0% |
Informatica PowerCenter | 6.3% |
SSIS | 5.9% |
Other | 85.8% |
Product | Market Share (%) |
---|---|
MuleSoft Anypoint Platform | 10.4% |
IBM Sterling B2B Integration Services | 15.4% |
webMethods.io | 11.7% |
Other | 62.5% |
Product | Market Share (%) |
---|---|
SSIS | 5.9% |
Informatica PowerCenter | 6.3% |
Azure Data Factory | 5.6% |
Other | 82.2% |
Company Size | Count |
---|---|
Small Business | 9 |
Midsize Enterprise | 7 |
Large Enterprise | 16 |
Company Size | Count |
---|---|
Small Business | 21 |
Midsize Enterprise | 12 |
Large Enterprise | 29 |
Company Size | Count |
---|---|
Small Business | 26 |
Midsize Enterprise | 19 |
Large Enterprise | 57 |
Fivetran, the global leader in data movement, is trusted by companies like OpenAI, LVMH, Pfizer, Verizon and Spotify to centralize data from SaaS applications, databases, files, and other sources into cloud destinations, including data lakes. With high-performance pipelines, seamless interoperability, and enterprise-grade security, Fivetran empowers organizations to modernize their data infrastructure, power analytics and AI, ensure compliance, and achieve transformative business outcomes. Learn more at Fivetran.com
MuleSoft Anypoint Platform provides API management and integration capabilities with scalability, ensuring seamless connectivity across systems.
MuleSoft Anypoint Platform offers API management and integration capabilities within a user-friendly interface. With a range of connectors and the ability to handle integration patterns, it enables data integration across environments with support for API-led connectivity. High scalability, observability, batch processing, and tooling are key features, enhancing performance while simplifying deployment.
What are the standout features of MuleSoft Anypoint Platform?MuleSoft Anypoint Platform is employed by organizations for API management and seamless integration across systems in industries like retail and e-commerce. It connects enterprise applications in environments such as SAP and Salesforce. Users leverage it for data transformation and synchronization, achieving efficient real-time processing and a middleware layer across systems.
SSIS is a versatile tool for data integration tasks like ETL processes, data migration, and real-time data processing. Users appreciate its ease of use, data transformation tools, scheduling capabilities, and extensive connectivity options. It enhances productivity and efficiency within organizations by streamlining data-related processes and improving data quality and consistency.