Do great things with data using BryteFlow ETL to build your Amazon S3 Data Lake
Using BryteFlow ETL for S3 is the fastest way to load, access and analyze your SAP, Salesforce, Oracle, SQL Server and other complex Enterprise data sets – powered by AWS S3 and Big Data Infrastructure.
Real Time S3 Data Sync for transactional systems like Oracle and Sql Server
Real Time S3 Data Sync for applications like Salesforce
Transactional Record Insert, Update and Delete management in S3
“One of the first Big Data Partners in Australia, Bryte has continued to pioneer, innovate, re-invent and push the boundaries with Cloud Data Management for large enterprises. In 2015, Bryte was the first Australian company to be awarded AWS Advanced Partner with Big Data Competency, recognising continued excellence and successful client results.” – Kevin Andrews – Technology Partner Manager – Amazon Web Services
Sync data from multiple enterprise systems and transform raw data into useful models
BryteFlow automatically loads and syncs data from multiple enterprise source systems like Oracle, SAP, Salesforce and Sql Server to Amazon S3. Once raw data has been ingested into Amazon S3, our software then enables users to transform raw data into useful models using a click based SQL interface, which automatically converts traditional SQL into powerful and scalable Amazon EMR Hadoop and Spark jobs.
Flexibility in storing and accessing data
Users can choose to either access data directly from their Amazon S3 object storage, or load the data into a traditional relational database like Amazon Redshift or RDS for downstream data analytics, visualization and consumption.
BryteFlow Oracle and SQL Server connectors for S3
Minimal Operational Impact on your Oracle or SQL server data Sources with Log Based Change Data Capture (CDC) and options for Downstream Log Mining
Extract and load Terabytes of Oracle or SQL server Data with Zero operational impact using BryteFlow’s log switch functionality
Support for both SQL Server Standard and Enterprise Edition data loading / sync
Options to stream Database Changes and transactions to Kafka on Amazon Kinesis
Support for both Oracle Classic and Integrated capture
Full industry standard Type 2 History to retain all updated and deleted records
Zero Footprint approach to eliminate the need to install any agents on source systems
Optional feature to Sync selected data, S3 Buckets or Folders with Amazon Redshift Data Warehouse
Bryte simplifies Amazon S3 file management and continuously merges new change files to provide a single consolidated file per table at any point in time.
BryteFlow SAP Connector for your S3 Data Lake
Designed for High Throughput and Low Latency, Bryte’s SAP connectors simplify SAP Data Analytics. Access your SAP data in real time from your Amazon S3 Data Lake and easily merge it with other enterprise data assets. Schedule Demo
Capture and convert complex SAP formats and structures to easily load your SAP data
Leverage Patented Auto-Partitioning technology to extract large multi-terabyte SAP objects with minimal operational overload and impact.
Leverage Built-in Typecast functionality
Native support for SAP Change Data Capture
BryteFlow Salesforce Connector for your S3 Data Lake
BryteFlow’s Salesforce Connector makes it easy to stream and load real time data from Salesforce, run Business Intelligence queries on it and enrich it with other Enterprise Data Assets.
Auto-create Salesforce Object Schemas
Batch or Real Time data replication
Run traditional SQL and BI queries on Salesforce Data
Run Advanced Analytics, Machine Learning and Artificial Intelligence Algorithms
Build rich data models by enriching Salesforce Data with Data from enterprise ERP, HR and Financial systems
Maintain every record version and delete to comply with Audit and Regulatory requirements
Transform and Prepare Data with Built-in SQL Editor and ETL for Amazon S3
Transform and prepare data using SQL on Amazon S3. Bryte provides an intuitive SQL on the Amazon S3 user interface to build data models without the need to move data into a relational database or data warehouse. Schedule Demo
Convert your SQL into highly scalable SPARK jobs in Amazon EMR, then load the results and persist data back into Amazon S3.
Truly separate Storage & Compute costs
Leverage Amazon S3 for low cost storage
Use Amazon EMR to pay for the computational infrastructure only WHEN it is required
Shut down processing clusters when there are NO jobs running
Easily Create and Schedule Amazon S3 Jobs
Choose Amazon S3 Output File Format
Easily organize Data into Multiple Amazon S3 folders
Manage multiple levels of Data Maturity from Raw Data to Complex Data Marts
“By leveraging the considerable knowledge base and experience of the Bryte team, we have achieved in 3 months what we didn’t believe we would achieve within the first year of our existence within Vocus Group.” – Hamish Morgan – General Manager –
Analytics – Vocus Communications
“Bryte has a tight integration with Amazon Web Services, which is critical to our business. The team has been very responsive to our questions and eager to resolve any issues that arise.” – Jay DeFoore – CRM Marketing Manager –
“Using Bryte freed up our development resources to focus on analytics. Support from Bryte has been outstanding.The product has performed well and has enabled us to focus on delivering better analytics to our stakeholders.” – Mike Hight – Enterprise Data Architect –