Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Salesforce and others in Cloud Data Integration.
I can specify savings of around 40 to 60%.
It saves us the effort of having one to two data engineers managing the tasks that Fivetran handles.
I am happy with the technical support from AWS.
When working with AWS GovCloud, we often did not get an answer in time because AWS seemed more focused on the commercial side.
The technical support provided by Fivetran has generally been good, with a response time and competence that I would rate as good.
Even if there was a failure, we could catch it and rerun it.
While scalability is good, latency exists due to our business nature.
AWS's scalable nature involves a human approach, meaning it is not auto-scalable.
For DMS version upgrades, we schedule downtime during business hours so that midnight workloads are not interrupted and morning business can run smoothly.
During the duration of the time that we used Fivetran, it was highly stable.
DMS works within AWS ecosystem, but they also have to look for third party solutions. Now Snowflake is a bigger player, or Databricks.
Sometimes, those who implement the service face problems and resolve it, but I may not even know what problems they faced.
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.
Our current yearly contract for Fivetran is approximately $70,000.
AWS offers a way to build jobs that are scalable, expandable for new and current tables, and can be deployed quickly.
The scalability option is another valuable feature because AWS provides its own compute behind it, so I can scale up and scale down at any given point.
You can copy the database at first without impacting your current database, and then use CDC to copy incremental changes.
The most valuable feature of Fivetran is its built-in connectors for a wide range of data sources.
The ability to seamlessly integrate with a large variety of data sources is valuable.
AWS Database Migration Service, also known as AWS DMS, is a cloud service that facilitates the migration of relational databases, NoSQL databases, data warehouses, and other types of data stores. The product can be used to migrate users' data into the AWS Cloud or between combinations of on-premises and cloud setups. The solution allows migration between a wide variety of sources and target endpoints; the only requirement is that one of the endpoints has to be an AWS service. AWS DMS cannot be used to migrate from an on-premises database to another on-premises database.
AWS Database Migration Service allows users to perform one-time migrations, as well as replications of ongoing changes to keep sources and targets in sync. Organizations can utilize the AWS Schema Conversion Tool to translate their database schema to a new platform and then use AWS DMS to migrate the data. The product offers cost efficiency as a part of the AWS Cloud, as well as speed to market, flexibility, and security.
The main use cases of AWS Database Migration Service include:
AWS Database Migration Service Components
AWS Database Migration Service consists of various components which function together to achieve users’ data migration. A migration on AWS DMS is structured in three levels: a replication instance, source and target endpoints, and a replication task. The components include the following actions:
AWS Database Migration Service Benefits
AWS Database Migration Service offers its users a wide range of benefits. Among them are the following:
Reviews from Real Users
Vishal S., an infrastructure lead at a computer software company, likes AWS Database Migration Service because it is easy to use and set up.
Vinod K., a data analyst at AIMLEAP, describes AWS DMS as an easy solution to save and extract data.
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
Jitterbit Harmony is a comprehensive platform for data integration and API management, enabling seamless synchronization and automation across cloud-based and on-premises applications.
Users leverage Jitterbit Harmony to integrate systems like ERP and CRM applications, simplifying complex data workflows and enhancing automation. It supports efficient data migration and ensures smooth connectivity, handling diverse integration needs and helping streamline business processes. Users emphasize its drag-and-drop functionality and extensive templates, which contribute to its robust performance. However, improvements are needed in data mapping, error message clarity, and documentation, especially when dealing with large data volumes.
What are the key features of Jitterbit Harmony?Companies across retail, manufacturing, healthcare, and finance sectors use Jitterbit Harmony to integrate critical applications and automate workflows. In retail, it connects inventory systems with sales platforms, reducing manual effort. Manufacturers sync their ERP systems with supply chain software, optimizing operations. Healthcare organizations integrate patient management systems with insurance databases, streamlining patient care. Financial institutions use it to connect accounting software with banking systems, ensuring real-time financial data exchange.