HPE Ezmeral Data Fabric Database
In HPE Ezmeral Runtime Enterprise, HPE Ezmeral Data Fabric on Kubernetes supports HPE Ezmeral Data Fabric Database. HPE Ezmeral Data Fabric Databaseis an enterprise-grade, high-performance, NoSQL database management system you can use for real-time operational analytics. There are a few implementation differences between the bare-metal and HPE Ezmeral Data Fabric on Kubernetesimplementations of HPE Ezmeral Data Fabric Database.
HPE Ezmeral Data Fabric Database is an enterprise-grade, high performance, NoSQL (“Not Only SQL”) database management system. You can use it to add real-time operational analytics capabilities to big data applications. As a multi-model NoSQL database, it supports both JSON document models and wide column data models.
HPE Ezmeral Data Fabric Database can be used as both a document database and a wide-column database. As a document database, JSON documents are stored in a HPE Ezmeral Data Fabric DatabaseJSON table. As a wide-column database, binary files are in stored in HPE Ezmeral Data Fabric Database binary tables.
Implementation Differences
In most cases, HPE Ezmeral Data Fabric Database functions the same way in HPE Ezmeral Data Fabric on Kubernetes as it does in HPE Ezmeral Data Fabric on bare metal or virtual machines.
The differences are the following:
-
HPE Ezmeral Data Fabric on Kubernetes does not support Hadoop.
The database utilities that perform copy operations have the
mapreduce
ordirectcopy
parameter set totrue
by default. To use these utilities in HPE Ezmeral Data Fabric on Kubernetes environments, you must set themapreduce
ordirectcopy
parameter tofalse
. -
When you set up table or stream replication using the CLI (
maprcli
), you can use thereplica autosetup
command only. See Setting Up Table Replication Using the CLI or Setting Up Stream Replication Using the CLI in the HPE Ezmeral Data Fabric documentation.
For more information about the HPE Ezmeral Data Fabric Database, see HPE Ezmeral Data Fabric Database in the HPE Ezmeral Data Fabric documentation.