Automate Data Lakes for AWS

Do great things with data on Amazon Web Services using Bryteflow software

Using Bryteflow software is the fastest way to liberate, access and analyze your SAP, Salesforce, Oracle, SQL Server and other complex Enterprise data sets – powered by AWS Big Data Infrastructure. Start a FREE Trial

Bryteflow automates:

  • Real Time Data Ingestion and Access
  • Data Security in Transit and Rest
  • Low cost Data Storage and Management using Amazon S3 Object Store
  • Data Prep and Transformations using Hadoop & Spark on Amazon EMR
  • Data Warehousing with Amazon Redshift

We are proud to be one of the few companies in the world who are Amazon Advanced Technology Partners with Big Data Competency.

Connect & Sync Multiple Data Sources in just a couple of clicks

Real time Data Ingestion from multiple Databases, Applications and Files to Amazon S3 Object Storage

Parallel Loading & Multi-Threading for Large Data Volumes

Automated Integration into Amazon S3 File Formats, Buckets and Folders

Single click Amazon S3 to Amazon Redshift Data Warehouse Sync
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“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 – Partner Business Development – Amazon Web Services

Syncs data from multiple enterprise systems and transforms raw data into useful models

BryteFlow automatically syncs data from multiple enterprise source systems 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 for
downstream data analytics, visualization and consumption.

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Technical Architecture

Real Time Sync for Enterprise Oracle and SQL Server Environments

  • Minimal Operational Impact on Data Sources with Log Based Change Data Capture (CDC) and options for Downstream Log Mining
  • Extract Terabytes of Data with Zero operational impact using BryteFlow’s patented log switch functionality
  • Support for both SQL Server Standard and Enterprise Editions
  • Options to stream Database Changes and Transaction Data directly to Kafka on Amazon Kinesis
  • Industry standard Oracle Integrated Capture Approach
  • Full industry standard Type 2 History to retain all updated and deleted records
  • Zero Footprint approach eliminates the need to install any agents on source systems
  • Sync selected data, S3 Buckets and Folders with Amazon Redshift Data Warehouse

Maintain Query Ready Tables in Amazon S3

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.

Liberate your SAP Data

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.”
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  • Capture and convert complex SAP formats and structures
  • Leverage Patented Auto-Partitioning technology to extract large multi-terabyte SAP objects with minimal operational overload and impact.
  • Built-in Typecast functionality
  • Native support for SAP Change Data Capture

Salesforce Data Analytics

BryteFlow’s Salesforce Connector makes it easy to stream 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

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Transform and Prepare Data with Built-in SQL Editor 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.
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  • 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

Our customers love us!

“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 –
Under Armour

“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 –
Waterford

Some customers who use our Data Lakes

Bryte is an Accredited Solution Provider for: