Overview
Extracts SAP data automatically in real-time with Business Logic intact: The BryteFlow SAP Data Lake Builder connects to SAP at the Application level. It extracts data from SAP applications like SAP ECC, S4HANA, SAP BW, SAP HANA using SAP BW ODP Extractors or CDS Views as OData Services and builds the Data Lake automatically on S3, Redshift, Snowflake, saving many hours of effort.
No-Code, Real-time, Continuous SAP Data Integration on the Sap Data lake: BryteFlow SAP Data Lake Builder merges deltas automatically in real-time to keep data continually updated in the SAP Data Lake or SAP Data Warehouse. No third-party tool like Apache Hudi or any coding is required for any process including data extraction, merging, masking, or type 2 history. It automates DDL creation with automated data type mapping and recommended keys. Data is analytics-ready.
Data Management and Ad hoc queries on Amazon S3: On Amazon S3, an Enterprise grade Data Preparation Workbench with a point-and-click interface is available, to easily separate and categorize raw and enriched or curated data. Data in the data lake can be queried with Amazon Athena as it is being ingested. The integration with Glue Data Catalog is at the API level - no need to wait or schedule crawlers.
Data Merges and Transformation on Amazon S3: Data from multiple sources can be transformed and merged with SAP data on S3 with BryteFlow Blend in real-time to create data models for ML, AI or Analytics.
Highlights
- Extract data with Business Logic intact. Integrate SAP data from SAP applications in real-time. It gets data exposed via SAP BW ODP Extractors or CDS Views as OData Services to build the SAP Data Lake on S3, Redshift or Snowflake..
- Zero coding for any process including data extraction, merging, masking, or type 2 history. Data delivered is ready to-use and Time-series. Easy, configurable partitioning, and compression. Point and Click Workbench on Amazon S3 to categorize data.
- Optimized for AWS. Seamless, automated integration with AWS Services like Amazon S3, EMR clusters, Amazon Athena, Glue Data Catalog and Amazon Redshift. It also uses IAM, KMS, CloudWatch Logs, Metrics and SNS.
Details
Typical total price
$6.171/hour
Pricing
Free trial
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t2.large Recommended | $6.05 | $0.121 | $6.171 |
m4.xlarge | $11.33 | $0.384 | $11.714 |
c5.4xlarge | $18.92 | $1.416 | $20.336 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
We do not currently support refunds, but you can cancel at any time.
Legal
Vendor terms and conditions
Content disclaimer
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
BryteFlow SAP Data Lake Builder
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
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 . For Free Training get in touch with us on https://www.bryteflow.com/contact/ 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.
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