Sold by: Bryte Systems
Deployed on AWS
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BryteFlow Standard Edition - Real-time ingestion of SAP, Oracle, SQL Server to S3, Redshift and Snowflake
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Overview
Deploy data in hours not months! BryteFlow allows real-time Data Replication & Integration for Amazon S3, Amazon Redshift and Snowflake Data Warehouse. Standard Edition includes BryteFlow Ingest.
Automate bulk and real-time data replication and ingestion from SAP, Oracle and SQL Server with enterprise class Change Data Capture (CDC) and minimal load on the source. Build a time series data store with SCD Type2 history on Amazon S3, Redshift and Snowflake with zero coding. Create a data lake on Amazon S3 with automated file partitioning and compression and data stores on Redshift and Snowflake Data Warehouse at high performance with just a few clicks.
Sophisticated alerting, monitoring, high availability and enterprise grade security including KMS is configurable and built into the software. BryteFlow is a revolutionary tool that can easily break down your data silos, enable data access in hours and accelerate your data initiatives.
Pricing is per volume ingested as below: < 100GB Please use t2.small instance type 100GB - 300GB Please use t2.medium instance type 300GB - 1TB Please use t2.large instance type
1TB Please contact Support at support@bryteflow.com
Highlights
- Automated Real-time integration to S3, Redshift and Snowflake using Change Data Capture (CDC) technology, with zero load on the source.
- Reduce Data deployment from months to hours. Automated high performance time series data build, data ingested real-time, prepared and ready to use
- High Availability and resiliency is built into the software
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Win2025 Microsoft Windows 2025 with 64-bit architecture
Deployed on AWS
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Pricing
Free trial
Try this product free for 5 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 |
|---|---|
t2.large Recommended | $5.10 |
t2.medium | $2.94 |
t2.small | $1.53 |
Vendor refund policy
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) .
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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
Release notes for 3.11.5.2459_3
Additional details
Usage instructions
- Connect to your windows instance - http://docs.aws.amazon.com/AWSEC2/latest/WindowsGuide/connecting_to_windows_instance.html
- The BryteFlow software will automatically open in Chrome - if not use the URL localhost:8081
- Follow the Documentation using the Help button in the software or use the link http://docs.bryteflow.com/ Please note: Applications are not accessible from external IPs. Login to the EC2 is needed and they can be launched on Google Chrome or Microsoft Edge on : Ingest : localhost:8081
Resources
Vendor resources
Support
Vendor support
Each of our products is backed by our responsive support team. Please allow for 24 hours for us to get back to you. We have documentation and quick start guides to get you on the way. To get in touch with our support team, shoot an email to support@bryteflow.com support@bryteflow.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 Integrate.io
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
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Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Change Data Capture Technology
Enterprise-class Change Data Capture (CDC) for automated real-time data replication from SAP, Oracle, and SQL Server with minimal load on source systems
Data Warehouse Integration
Real-time data ingestion and replication to Amazon S3, Amazon Redshift, and Snowflake with high-performance capabilities
Automated Data Transformation
Automated SCD Type2 history tracking, file partitioning, compression, and time series data store creation with zero coding required
Security and Monitoring
Enterprise-grade security features including KMS encryption, sophisticated alerting, monitoring, and high availability configuration
High Availability Architecture
Built-in high availability and resiliency mechanisms for fault tolerance and continuous operation
Visual Data Pipeline Builder
Point-and-click interface enabling ETL/ELT data integration, processing, and preparation without requiring software installation or deployment.
Multi-Source Data Connectivity
Seamless integration with relational databases (PostgreSQL, MySQL, SQL Server, Amazon RDS, Google Cloud SQL), NoSQL stores (MongoDB), cloud storage (Amazon S3, Google Cloud Storage), file storage (SFTP, GDFS), and REST API-accessible web services.
Built-in Data Transformation Functions
Out-of-the-box transformation capabilities including IP2Location functionality, User Agent string parsing, Query string parsing, data aggregation, filtering, sorting, ranking, sampling, and data unification without requiring custom code.
Workflow Orchestration and Scheduling
Workflow engine enabling data pipeline orchestration with flexible execution options including on-demand runs and scheduled intervals for regular execution.
Cloud-Based Infrastructure Management
Elastic and scalable cloud platform handling deployments, monitoring, scheduling, security, and maintenance operations with API access for enhanced flexibility and service hook integration with existing monitoring systems.
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
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Customer reviews
reviewer2769915
Data pipelines have enabled affordable change capture but need faster performance and richer features
Reviewed on May 17, 2026
Review from a verified AWS customer
What is our primary use case?
We wanted to enable change data capture in our data lake from an Oracle database source, and BryteFlow Data Integration proved to be the cheapest alternative to enable change data capture.
Our main use case involves moving data from one place to another, specifically from a database to a data warehouse. Enabling BryteFlow Data Integration was fast enough. There are certain specific cases when your source is on-premises and your data lake is on the cloud, where decisions must be made about whether to place BryteFlow Data Integration on-premises or on the cloud, and what the differences are. We went through all of that analysis, and placing BryteFlow Data Integration closest to our source was the best solution.
What is most valuable?
BryteFlow Data Integration proved to be straightforward in implementation. We implemented it and enabled all the prerequisites on the database, and BryteFlow Data Integration itself was then able to enable change data capture on the database. Based on those changes, we were able to model our dimensions on our data lake. Since BryteFlow Data Integration is a platform as a service, it is straightforward; you just enable it and it starts working.
BryteFlow Data Integration positively impacts our organization by reducing the time we require to ingest change data capture data. Otherwise, we would have needed either a more expensive CDC solution or to build an in-house CDC solution, both of which would have cost us more in terms of time or money. BryteFlow Data Integration fits in well in the middle; it did not cost us too much and did not take us too long.
What needs improvement?
The features of BryteFlow Data Integration are fairly limited. It is an easy interface to be placed for change data capture on top of a database. The suite that I saw or the license that I had was fairly limited, but it gets the job done, which is what matters, and it is cheap.
The simplicity of the easy interface for change data capture stood out to me. For speed, BryteFlow Data Integration still needs improvement. If there is a lag in the connection or in the network connectivity, they need to work on faster selection or API-based programmatic access control. BryteFlow Data Integration itself needs to work on their documentation; I believe the documentation is very limited. Everything should be fine in terms of ease, but speed is definitely lacking when it comes to BryteFlow Data Integration.
BryteFlow Data Integration needs better documentation, better programmatic access, and a better, faster user interface. It needs to be more feature-rich; right now it is limited between sources and destinations. If there was a software as a service version of BryteFlow Data Integration where you could choose on the user interface what you are doing and implement that, it would be easier. Currently, we have to set up the exact tool for CDC or Blend or data flow separately and manage all of these solutions.
The support needs improvement as well.
For how long have I used the solution?
I have used BryteFlow Data Integration for CDC for about two years.
What do I think about the stability of the solution?
BryteFlow Data Integration is more or less stable. The licensing pattern within data integration is annoying, but if you have an ops team or an L1 team continuously monitoring the license, it is fine. If there is an outage lasting over four hours, everything goes down and requires a lot of rebuilding. I would not call it the most stable platform, but it does the job.
What do I think about the scalability of the solution?
The scalability of BryteFlow Data Integration is poor.
How are customer service and support?
The customer support is not the best.
Which solution did I use previously and why did I switch?
We did not use a different solution previously. We examined a few solutions, but based on ease of implementation and cost, we went with BryteFlow Data Integration.
How was the initial setup?
The simplicity of the easy interface for change data capture stood out during the setup. For speed, BryteFlow Data Integration still needs improvement. If there is a lag in the connection or in the network connectivity, they need to work on faster selection or API-based programmatic access control.
What about the implementation team?
Pricing, setup cost, and licensing were handled by our procurement team. All I know is that it was cheaper and easier to set up.
What was our ROI?
I can provide a qualitative answer to the return on investment question, though I would not have any metrics. It was the cheapest option available. We saved a lot of time during the setup because it was easier. I alone could administer everything, and a very small team of data engineers were able to build pipelines on top of it. BryteFlow Data Integration is an easy and cheap option.
What's my experience with pricing, setup cost, and licensing?
Pricing, setup cost, and licensing were handled by our procurement team. All I know is that it was cheaper and easier to set up.
Which other solutions did I evaluate?
We evaluated building a CDC setup ourselves based on Amazon EMR and Python coding that we could do on top of it. On the database, that was not an easy task to handle. We also considered Confluent , but they were too expensive, so we stuck with BryteFlow Data Integration.
What other advice do I have?
My advice for others looking into using BryteFlow Data Integration is that if they have the competency and the time to build an open-source solution on top of Debezium or Kafka or Kinesis , they should go ahead and do that.
If not, and they want to go for a SaaS solution, they should do that. BryteFlow Data Integration sits somewhere in the middle; it is not too difficult, not too expensive, but it is not the best product either. I would rate this product a 6 out of 10.
Which deployment model are you using for this solution?
Hybrid Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Rutu
Data Analytics Lead
Reviewed on May 13, 2019
Review from a verified AWS customer
We have been using the Bryte Ingest software for some time now and are really happy with the product. It allows for building our data lake in S3 quickly without any manual or complex coding. The other advantage is to be so close to the development team, where you can raise your request for enhancements and they are actioned in a timely manner.