Sold by: CData Software
Deployed on AWS
Free Trial
CData Sync simplifies cloud modernization by connecting 250 SaaS, on premises, and cloud systems to your database, warehouse, or data lake. Use CDC powered pipelines to load Amazon Redshift, store append only Parquet or Delta files in Amazon S3, and integrate insights back into the applications that run your business.
4.3
Overview
CData Sync is a universal data pipeline platform that enables automated, continuous data flows between SaaS, on-premises, and cloud applications and your choice of database, warehouse, or data lake. Replicate data for analytics, hydrate data lakes, migrate legacy workloads, or operationalize insights across business systems without coding or rigid pipelines. Sync supports more than 250 enterprise sources, including CRM and ERP systems like Salesforce, Microsoft Dynamics 365, NetSuite, Oracle ERP, and SAP; IT and collaboration tools like ServiceNow, Microsoft SharePoint, and Jira; financial applications such as QuickBooks Online and Sage Intacct; marketing platforms including HubSpot, Marketo, and Oracle Marketing Cloud; and leading databases and warehouses such as Amazon Redshift, Amazon S3 (with Parquet or Delta), Databricks, Snowflake, SQL Server, and PostgreSQL.
Why AWS users choose CData Sync:
- AWS-ready: Load to or from Redshift, land append-only Parquet or Delta data in Amazon S3, or integrate with hybrid AWS environments.
- Change Data Capture (CDC): Keep destinations updated in near real time without taxing source systems.
- Reverse ETL: Push enriched warehouse data back into operational systems to drive action.
- Point-and-click configuration: Build, schedule, and monitor pipelines with a no-code interface.
- Schema control: Define exactly how your data lands with full visibility and control. No black-box normalization.
- Enterprise-grade security: TLS/SSL encryption and granular access controls.
This listing is for the Professional tier, which includes support for up to 10 connections.
Highlights
- Replicate data from 250+ SaaS, on-prem, and cloud sources to Redshift, S3 (Parquet/Delta), Databricks, and more with no-code configuration and flexible deployment options.
- Keep data fresh with incremental updates and low-latency syncs. CData Sync supports Change Data Capture (CDC), hybrid environments, and high-throughput pipelines.
- Power AI, analytics, and operations with structured, query-ready data. Reverse ETL and append-only landing formats enable intelligent action across your AWS ecosystem.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 22
Deployed on AWS
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You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Free trial
Try this product free for 14 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
m5d.large Recommended | $3.492 |
r5d.large | $3.492 |
r5d.4xlarge | $4.858 |
r5d.2xlarge | $4.251 |
m5d.4xlarge | $4.858 |
m5d.2xlarge | $4.251 |
c5d.large | $3.492 |
c5d.xlarge | $3.795 |
c5d.4xlarge | $4.858 |
c5d.2xlarge | $4.251 |
Dimensions summary
You pay by the hour based on the AWS EC2 instance type you run. The 12 dimensions map to three instance families: compute-optimized (c5d), general-purpose (m5d), and memory-optimized (r5d). Within each family, sizes range from large up to 4xlarge. Larger sizes carry more CPU, memory, and storage, so their hourly rate rises accordingly. Choose the family that fits your workload, then pick a size to match your processing needs. Billing runs only while the instance runs, so cost scales with usage. You deploy the preconfigured software as an EC2 instance from the AWS Marketplace.
Top-of-mind questions for buyers
Each dimension runs a specific AWS EC2 instance type. Larger sizes give more virtual CPUs, memory, and local storage. A large size handles lighter replication jobs. A 4xlarge size supports high-volume pipelines with parallel processing and multiple worker threads. Pick the size that matches your data volume and job concurrency.
Software charges accrue only while the EC2 instance runs. A stopped instance does not incur hourly software fees. Underlying AWS storage costs for the instance volume may still apply while stopped. The software license meters running time only, so cost follows actual usage.
Upgrading means launching a new instance of the latest AMI. Before switching, export your settings from the Migration tab into a ZIP file. This includes connections, jobs, users, and history. Import that file into the new instance. Your hourly rate then matches the new instance size.
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We do not currently support refunds, but you can cancel at any time.
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Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Additional details
Usage instructions
- In your web browser, type https://<this_instance_ip_address> . If the connection fails then you should either try again in a few minutes, or double check the Security Group (EC2 Dashboard > Network & Security > Security Groups) assigned to this image, ensuring that HTTPS is added and that your IP address is allowed.
- If you get a security warning in your browser, select the option to proceed. The browser is simply alerting you to the fact that the SSL certificate used by the site is self-signed (not signed by a Certificate Authority), and thus untrusted.
- To login, use "admin" for the username, and the instance id for the password, prefixed with "Sync26:".
For more details, please refer to https://cdn.cdata.com/help/ASN/sync/AWS-AMI-Edition.html
Resources
Vendor resources
Support
Vendor support
We provide standard technical support via email. We do our best to answer the messages quickly, so you can get your job done. Support is prioritized in favor of people who have purchased the premium support package and the product in question. support@cdata.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By CData Software
By Dataddo
Top
10
In ELT/ETL, Databases & Analytics Platforms
Top
50
In ELT/ETL
Top
50
In Data Warehouses, ELT/ETL
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Change Data Capture Technology
Supports Change Data Capture (CDC) powered pipelines for incremental updates and near real-time data synchronization without taxing source systems
Multi-Source Data Integration
Connects to more than 250 enterprise sources including SaaS applications, on-premises systems, and cloud platforms such as Salesforce, Microsoft Dynamics 365, NetSuite, Oracle ERP, SAP, ServiceNow, and financial applications
Multiple Destination Support
Replicates data to various destinations including Amazon Redshift, Amazon S3 with Parquet or Delta formats, Databricks, Snowflake, SQL Server, and PostgreSQL
No-Code Pipeline Configuration
Provides point-and-click interface for building, scheduling, and monitoring data pipelines without requiring coding or rigid pipeline development
Enterprise Security Features
Implements TLS/SSL encryption and granular access controls for data protection and compliance
Data Source Connectivity
Supports integration with 250+ data sources and 50+ destinations including applications, data warehouses, data lakes, and dashboarding tools
Data Integration Patterns
Supports ETL, ELT, reverse ETL, and database replication patterns for bidirectional data movement between sources and destinations
No-Code Integration Platform
No-code data integration interface enabling data pipeline configuration and deployment without requiring custom code development
AWS Data Warehouse Support
Native integration with AWS data warehouse and storage services including Redshift, S3, Aurora, and RDS
Security and Compliance Certifications
SOC 2 Type II certified and compliant with ISO 27001 and major global data privacy regulations
Codeless Visual Development Interface
Drag and drop visual UI for building data integrations without requiring coding, with pre-built templates and integration wizards to accelerate development
Parallel Data Integration Architecture
Highly scalable parallel data integration architecture with ETL and ELT pushdown optimization patterns for maximum throughput and performance into Amazon Redshift
Multi-Source Connectivity
Native connectors supporting hundreds of applications and data sources across on-premises and cloud environments including AWS services (Redshift, S3, RDS, Aurora) and enterprise applications (Salesforce, Workday, Oracle, SAP, ServiceNow)
FedRAMP Compliance
FedRAMP authorization with Integration Base, Data Integration service, and tiered connectors (Tier B, C, D) supporting regulated government cloud deployments
Data Integration and Synchronization
Capabilities for developing, running, and scheduling data integration flows, synchronization tasks, and data warehousing and data lake initiatives
Standard contract
No
No
Customer reviews
Akinola Makinde
Data workflows have become automated and unified while support and security still need improvement
Reviewed on Jun 21, 2026
Review from a verified AWS customer
What is our primary use case?
The main use case is that the stack is MongoDB, with the main data source from Mongo. CData Sync comes as a third party that is layered on Mongo.
Power BI is directly connected to CData Sync, so we can stream the data from Mongo and visualize it.
The other unique thing about our use case is that aside from streaming live transactional data for informed decisions, we are in multiple markets at the moment in several African countries. This has been challenging because streaming data for different currencies and different local currencies, then accumulating everything in USD, makes everything look muddled up. However, it has been good with CData Sync since we can have everything in one currency.
What is most valuable?
The beautiful thing about CData Sync is that you can preview the data directly on their UI. The data that is settled in the database can be previewed on CData Sync before actually ingesting it into the BI tool.
That is one feature I appreciate. You can actually pick a particular column or drop a particular column. CData Sync's preview feature speeds up my workflow because at that layer of preview, I already know what I want into my pipeline and what I don't want. The SQL query at that level would also help to filter whatever I don't want.
What needs improvement?
There are times when you are streaming and trying to connect that CData Sync fails. However, the team has been very helpful. There is a particular technical support person that has usually come to my aid whenever there are issues. For improvement, I think the turnaround time for support can increase, especially on weekends.
I want to discuss the security of CData Sync. It is not something I actually have visibility to, but I think if CData Sync could give users the opportunity to put their own security layer on this, that would be beneficial. If CData Sync is compromised, who do we hold responsible? So security is an area for improvement.
CData Sync's interface is good. For integration with other tools, I think CData Sync could do well by integrating with other providers, especially AI agents so that one can easily integrate CData Sync to more agents out there.
For how long have I used the solution?
I have been using CData Sync for about four months.
What do I think about the stability of the solution?
CData Sync is stable. Our transactional data is not a lot so far, so I can say CData Sync is stable.
What do I think about the scalability of the solution?
For CData Sync data scalability regarding the increasing amount of data, our data is not a lot right now, so I think CData Sync handles it perfectly. Maybe later when transactional data grows significantly, we might be able to ask for better plans, especially regarding a scalable plan.
How are customer service and support?
Customer support is great. Sonja is a great helper. Technical support from David has been helpful. I can tell you that CData Sync is stable and their customer support is trying.
For customer support at CData Sync, I would give them an eight. I would not give them a ten because on weekends the reply is slow. Another thing I thought about is they need to consider users that are not in their region. I think it is a time difference issue.
Which solution did I use previously and why did I switch?
I did not purchase CData Sync through the AWS Marketplace. I saw CData Sync's ad on LinkedIn. I then reached out to a particular agent. That agent put me through their customer support team. That agent sent me an email and copied their team members. Since then, we have been discussing.
We had been doing everything manually. We saw that the manual way was not scalable. We then had to go the automation route.
How was the initial setup?
I think the startup cost is fine for us.
What about the implementation team?
I was able to integrate CData Sync easily with the help of CData Sync's technical staff.
What was our ROI?
Money has been saved with CData Sync. If we had gone through the route of a larger engineering effort for our pipeline, we would have spent more. In spending more, we might also have needed to employ a data engineer. So we have saved money on the technical side and on the staffing side. As an analyst, I was able to handle the integration.
What's my experience with pricing, setup cost, and licensing?
For startup cost, I think it is still fair. Although we are a startup with a lean budget, if the startup cost was expensive, we might not have considered CData Sync at all.
Which other solutions did I evaluate?
We thought about using Zapier or other automation tools. We could have automatically used Selenium to download and scrape web pages and then store them in Google Drive. That is how we did it before.
What other advice do I have?
I gave CData Sync a rating of seven because I have weighed the downsides and the upsides. CData Sync is solving my use case and I am able to use it, which already puts it past five. The usefulness and the simplicity in the technicality are things I also love about CData Sync, so that adds one to the five, making six. Looking at everything overall, including the support, the cost, and everything else, that makes it seven. I think seven is a good rating for me.
Which deployment model are you using for this solution?
Private Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Serge A.
Effortless Multi-Platform Compatibility
Reviewed on Dec 16, 2025
Review provided by G2
What do you like best about the product?
ease of use and compatibility with multiple platforms
What do you dislike about the product?
pricing model has jumped over the years.
What problems is the product solving and how is that benefiting you?
need to sync our cloud data locally to keep our apps running efficiently
Consulting
Efficient way to maintain pipelines
Reviewed on Feb 11, 2025
Review provided by G2
What do you like best about the product?
The most helpful thing is that easy access and Data backup
What do you dislike about the product?
There are performance issues when it has larger volume of data
What problems is the product solving and how is that benefiting you?
As it has larger data pool it will be useful when when don't have resources
Venkat P.
CData Sync Overview
Reviewed on Feb 11, 2025
Review provided by G2
What do you like best about the product?
I like Cdata Sync's massive data integration with more than 200+ sources in a database.
What do you dislike about the product?
The description in Cdata Sync could be simplified to make it more accessible to non-technical users which helps non-IT people to understand it more easily.
What problems is the product solving and how is that benefiting you?
Cdata Sync will simplify operational data management by automating the data replication process. This doesn't need to manual intervention to check the complex code for the data loading.
Marketing and Advertising
Easy to use and integrate
Reviewed on Feb 10, 2025
Review provided by G2
What do you like best about the product?
I can use it with many platforms symplifying reports and their analysis.
What do you dislike about the product?
Very heavy with the resources it uses, making it difficult to use with large data transfers.
What problems is the product solving and how is that benefiting you?
Centralizes databases measuring the impact of my marketing campaigns and providing valuable insights that I later use to funnel my decisions.