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Pivotal GemFire is a distributed data management platform. Pivotal GemFire is designed for many diverse data management situations, but is especially useful for high-volume, latency-sensitive, mission-critical, transactional systems.
Key Features and Functionality
- Monitoring and Management
- Native support for JSON Documents
- New HTML5 based dashboard
- Enhanced Parallel Disk Persistence
- Spring Integration and Simplified APIs for Greater Development Ease
- Scale-out Capabilities
- Co-located Transactions to Dramatically Boost Throughput
- Very High Throughput
- Low and Predictable Latency
- High Scalability
- Continuous Availability
- Heterogeneous Data Sharing
- Wide Area Data Distribution
- Native Support for Memcached Clients by Using Gemcached
- HTTP Session Management for Tomcat and Pivotal tc Server
- L2 Caching for Hibernate
Key Features and Functionality
Monitoring and Management
Monitor the current status of the
entire Pivotal® GemFire® deployment through a visual dashboard. For
command-line users, the Pivotal GemFire Shell ('gfsh') delivers a
powerful interface to manage Pivotal GemFire deployments. Wth gfsh,
Pivotal GemFire servers can be started and stopped, members can be
configured, metrics viewed and access to most all other product
capabilities available. View running Pivotal GemFire systems with the
visually stunning new dashboard.
Native support for JSON Documents
Pivotal GemFire can store JSON documents
along with key-value/object data. For developers writing mobile and
other applications, this is very useful. Some of the capabilities
provided to JSON documents include the ability to query within and
across JSON documents, federated queries with support for joins across
JSON and key-value stores and transactional support.
New HTML5 based dashboard
A simplified JMX model with federated
MBeans provides a single-agent consolidated view of a Pivotal GemFire
distributed system – integrated with gfsh and new dashboard.
Enhanced Parallel Disk Persistence
The "shared nothing" parallel disk
persistence model provides persistence for any block of data:
partitioned or replicated. This enables all your operational data to
safely "live" in Pivotal GemFire, greatly reducing costs by relegating
the database to an archival store.
Spring Integration and Simplified APIs for Greater Development Ease
Thanks to the
Spring Data GemFire
project, developers will be able to easily build Spring applications
that leverage Pivotal GemFire distributed data management. Developers
can architect their applications so that data access and business logic
are separated from configuration and operation code. In addition,
Pivotal GemFire APIs and related code samples help developers get
productive quickly.
Scale-out Capabilities
Subscription processing is partitioned
to enable access by many more subscribers with even lower latency than
before. Clients communicate directly with each data-hosting server in a
single hop, increasing access performance 2 to 3 times for thin clients.
Co-located Transactions to Dramatically Boost Throughput
Multiple transactions can be executed simultaneously across several partitioned regions.
Very High Throughput
Pivotal GemFire uses concurrent
main-memory data structures and a highly optimized distribution
infrastructure, offering 10X or more read and write throughput compared
with traditional disk-based databases.
Low and Predictable Latency
Pivotal GemFire uses a highly optimized caching layer designed to minimize context switches among threads and processes.
High Scalability
- Scalability is achieved through dynamic partitioning of data across many member nodes and spreading the data load across the servers.
- For 'hot' data, the system can be dynamically expanded to have more copies of the data.
- Application behavior can also be provisioned and routed to run in a distributed manner in proximity to the data it depends on.
Continuous Availability
- In addition to guaranteed consistent copies of data in memory across servers and nodes, applications can synchronously or asynchronously persist the data to disk on one or more nodes.
- Pivotal GemFire's shared-nothing disk architecture ensures very high levels of data availability.
Heterogeneous Data Sharing
C#, C++ and Java applications can share
business objects with each other without going through a transformation
layer such as SOAP or XML. A change to a business object in one language
can trigger reliable notifications in applications written in the other
supported languages.
Wide Area Data Distribution
Pivotal GemFire's WAN gateway allows
distributed systems to scale out in an unbounded and loosely-coupled
fashion without loss of performance, reliability and data consistency.
Native Support for Memcached Clients by Using Gemcached
Use any memcached client to connect to
Pivotal GemFire. Pivotal GemFire listens for memcached clients on a
specified port, eliminating client configuration on memcahed clients.
HTTP Session Management for Tomcat and Pivotal tc Server
Pivotal GemFire lets you decouple
session management from your JSP container. You can scale application
server and HTTP session handling independently, leveraging Pivotal
GemFire's ability to manage very large sessions with high performance
and no session loss. Pivotal GemFire HTTP Session Management is
pre-configured and can launch automatically with tc Server. For Tomcat,
the module is enabled via minor configuration modifications.
L2 Caching for Hibernate
With L2 caching, developers can
implement Pivotal GemFire's enterprise-class data management features
for their Spring Hibernate applications. Highly scalable and reliable
Pivotal GemFire L2 caching vastly increases Hibernate performance,
reduces database bottlenecks, boosts developer productivity, and
supports cloud-scale deployment.
Key Features and Functionality
Monitoring and Management
Monitor the current status of the
entire Pivotal® GemFire® deployment through a visual dashboard. For
command-line users, the Pivotal GemFire Shell ('gfsh') delivers a
powerful interface to manage Pivotal GemFire deployments. Wth gfsh,
Pivotal GemFire servers can be started and stopped, members can be
configured, metrics viewed and access to most all other product
capabilities available. View running Pivotal GemFire systems with the
visually stunning new dashboard.
Native support for JSON Documents
Pivotal GemFire can store JSON documents
along with key-value/object data. For developers writing mobile and
other applications, this is very useful. Some of the capabilities
provided to JSON documents include the ability to query within and
across JSON documents, federated queries with support for joins across
JSON and key-value stores and transactional support.
New HTML5 based dashboard
A simplified JMX model with federated
MBeans provides a single-agent consolidated view of a Pivotal GemFire
distributed system – integrated with gfsh and new dashboard.
Enhanced Parallel Disk Persistence
The "shared nothing" parallel disk
persistence model provides persistence for any block of data:
partitioned or replicated. This enables all your operational data to
safely "live" in Pivotal GemFire, greatly reducing costs by relegating
the database to an archival store.
Spring Integration and Simplified APIs for Greater Development Ease
Thanks to the
Spring Data GemFire
project, developers will be able to easily build Spring applications
that leverage Pivotal GemFire distributed data management. Developers
can architect their applications so that data access and business logic
are separated from configuration and operation code. In addition,
Pivotal GemFire APIs and related code samples help developers get
productive quickly.
Scale-out Capabilities
Subscription processing is partitioned
to enable access by many more subscribers with even lower latency than
before. Clients communicate directly with each data-hosting server in a
single hop, increasing access performance 2 to 3 times for thin clients.
Co-located Transactions to Dramatically Boost Throughput
Multiple transactions can be executed simultaneously across several partitioned regions.
Very High Throughput
Pivotal GemFire uses concurrent
main-memory data structures and a highly optimized distribution
infrastructure, offering 10X or more read and write throughput compared
with traditional disk-based databases.
Low and Predictable Latency
Pivotal GemFire uses a highly optimized caching layer designed to minimize context switches among threads and processes.
High Scalability
- Scalability is achieved through dynamic partitioning of data across many member nodes and spreading the data load across the servers.
- For 'hot' data, the system can be dynamically expanded to have more copies of the data.
- Application behavior can also be provisioned and routed to run in a distributed manner in proximity to the data it depends on.
Continuous Availability
- In addition to guaranteed consistent copies of data in memory across servers and nodes, applications can synchronously or asynchronously persist the data to disk on one or more nodes.
- Pivotal GemFire's shared-nothing disk architecture ensures very high levels of data availability.
Heterogeneous Data Sharing
C#, C++ and Java applications can share
business objects with each other without going through a transformation
layer such as SOAP or XML. A change to a business object in one language
can trigger reliable notifications in applications written in the other
supported languages.
Wide Area Data Distribution
Pivotal GemFire's WAN gateway allows
distributed systems to scale out in an unbounded and loosely-coupled
fashion without loss of performance, reliability and data consistency.
Native Support for Memcached Clients by Using Gemcached
Use any memcached client to connect to
Pivotal GemFire. Pivotal GemFire listens for memcached clients on a
specified port, eliminating client configuration on memcahed clients.
HTTP Session Management for Tomcat and Pivotal tc Server
Pivotal GemFire lets you decouple
session management from your JSP container. You can scale application
server and HTTP session handling independently, leveraging Pivotal
GemFire's ability to manage very large sessions with high performance
and no session loss. Pivotal GemFire HTTP Session Management is
pre-configured and can launch automatically with tc Server. For Tomcat,
the module is enabled via minor configuration modifications.
L2 Caching for Hibernate
With L2 caching, developers can
implement Pivotal GemFire's enterprise-class data management features
for their Spring Hibernate applications. Highly scalable and reliable
Pivotal GemFire L2 caching vastly increases Hibernate performance,
reduces database bottlenecks, boosts developer productivity, and
supports cloud-scale deployment.
http://gemfire.docs.pivotal.io/index.html
http://pivotal.io/big-data/datasheet/pivotal-gemfire
https://pubs.vmware.com/vfabric5/index.jsp?topic=/com.vmware.vfabric.gemfire.6.6/deploying/gfsh/gfsh_install_config.html
Tutorial
http://blog.pivotal.io/labs/labs/gemfire_introduction
http://gemfire702.docs.pivotal.io/7.0.2/userguide/getting_started/15_minute_quickstart.html
http://gemfire81.docs.pivotal.io/latest/userguide/tools_modules/pulse/quickstart.html
Download
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