The MapR Converged Data Platform integrates Hadoop, Spark, and Apache Drill with real-time database capabilities, global event streaming, and scalable enterprise storage to power a new generation of big data applications. The MapR Platform delivers enterprise grade security, reliability, and real-time performance while dramatically lowering both hardware and operational costs of your most important applications and data.
MapR Technologies, an innovative Silicon Valley software company, created the world’s only Converged Data Platform, an enterprise-grade solution that enables our customers to use big data in powerful ways to drive innovation through digital transformation. Our patented platform is the only solution engineered from the ground up to seamlessly work with all of today’s data types and technologies. Alternative offerings attempt to stitch together multiple point products, but result in lower performance, limited scale and higher costs.
Please find attached Product specifications, datasheets and white papers for your reference.
ADVANTAGES OF MAPR
High availability (HA) is the ability of a system to remain up and running despite unforeseen failures, avoiding unplanned downtime or service disruption.
Real Multi-tenancy Including YARN
The MapR Platform provides features to logically partition a physical cluster to provide separate administrative control, data placement, job execution, and network access.
MapR Streams is a global publish-subscribe event streaming system for Big Data. It is the only Big Data streaming system to support global event replication reliably at IoT scale.
Snapshots: Complete Data Protection
MapR Snapshots provide protection without duplicating the data. You can take a snapshot of a 1 PB cluster in seconds with no additional data storage.
Ease of Data Integration
MapR provides complete random read-write capable, POSIX compliant, highly available, high performance NFS access for production use.
Lowest Total Cost of Ownership
The architectural advantages of the MapR Platform show cost differences of 20-50% in terms of total cost of ownership (TCO) across capital and operational expenses.
Aptus Data Labs' Offering of MapR Services
Aptus Data Labs in partnership with MapR offers a wide range of services to help you plan, implement, deploy and manage your big data installation.
Core Hadoop Services
- Implementation and Data Migration
- Health Check and Tuning/Optimization
- Use Case Discovery
- Data Modelling
- Statistical Methods
- Machine Learning
- Solution Design/Implementation
- Application Development
- Data Aggregation
- Presentation Layer
- HBase Schema Design
- Application Analysis
- Performance Tuning