AMTech

Features Comparison Sheet


IoT Plataform
PaaS	A full stack Platform, as opposed to an API, SDK, web service or set of tools.
Cloud
Application Software Management (SaaS)	Cloud App Marketplace, quicker and simpler configure and discover IoT solutions to market.
Device Management	Deploying, securing, monitoring, integrating and managing IoT devices, such as sensors, RFID readers, beacons, gateways, etc.
Semantic web format for things	Allows data to be shared and reused across applications, enterprises, and community boundaries. The term was coined by Tim Berners-Lee for a web of data that can be processed by machines.
Data aggregation, integration, transformation, storage and management	Real-time view of things for querying and managing things instances; structured according to the web semantic standards.
Event processing: Rule engine/Orchestration/BPM	Method of tracking and analyzing streams of information about things and deriving a conclusion from them, including an action.
Sensor network	IOT Gateway system based on air protocols loke Zigbee, LoRa, BLE, Wifi GPRS and others and M2M, industrial and solution protocols like OPC AC, ODB, SNMP, iBeacons, BLE, edystonne, LLRP, EPC and others bridged to a domian specific IoT RESTful HTTP.
• Real time data streaming	Requires a storage layer and a processing layer. The storage enables fast, inexpensive, and replayable reads and writes of large streams of data. The processing layer is responsible for consuming data from the storage layer, and deleting data that is no longer needed.
• Security at observation level	A key component of the end to end security, from the edge (data collection layer) to the cloud.
• Semantic web format for observation and topic	Allows data to be shared and reused across application, enterprise, and community boundaries. The term was coined by Tim Berners-Lee for a web of data that can be processed by machines.
• Observation's enrichment	Configuration options used to enhance, refine and improve observations including things information, proximity concepts, collected data, acess control, geospatial and others.
• Topic's enrichment	Configuration options used to enhance, refine and improve topics definition including things information, proximity concepts, collected data, acess control, geospatial and others.
• Asynchronous sub (web-socket)	Publish-subscribe over HTTP mechanism to asynchronous receive observations; ensuring one time observation delivery, access control per observation and web semantic types.
• Synchronous pub/sub (restful)	Restful API to consume observation from sensor network ensuring one time observation delivery, access control per observation and web semantic types.
Real time Intelligence	Real time computational intelligence for discovering new knowledge emerging from associating real time observations with Things real time views, bringing into account time, spatial location and observed properties.
Programmability	Use a programing language to define logic and business rules
• Domain specific language	Computer language and protocol specialized to Internet of thing domain.
• Extensible	Leverages semantic web standard to dynamically extend an IoT specific languages and protocol.
• REST - Semantic web Standards	Restful and NOSQL real-time views; for querying and managing things semantic; structured according to the RDF and represented leveraging linked data and Json-ld.
Point and Click Configuration	Graphical user experience to configure IoT solution leveraging an IoT domain specific language.
M2M communications	Communication between devices, including not just the capability for collecting information from the devices as well sending command between devices.
Analysis and visualization	Placing it in a visual context network of physical objects (things) as well as with their states in three related views spatial, timeline and things content.
Multiprotocol communications extensions	Defining new observaion types and thing types leveraging semantic web standards RDF and linked data.
Endpoint and IT application adapters	Observations semantic, domain application protocol and synchronous and asynchronous Restful API.
Location aware services	Location awareness is a component of presence technology that delivers information about a thing's physical location to another thing and its geometric figure and dimension.
• Geolocation	A things's location is determined by longitude and latitude coordinates.
• Proximity	Allows to link a thing to another according to their proximity achieving in room location requirements when there is not enough precision about location.
Self-service user interface	The Self-Service UI is an intuitive interface providing access to all the functionality required by IoT application creators and end-users.
Configurable security from/to the edge to/from the cloud	Manages the identity and information of users that describes the operations and access control over IoT resources, offering a secure multi-tenancy and protected IoT real time view data hosting.
SaaS App Marketplace	Offers the tools for developers to quicker and simpler deliver IoT solutions to market.
Push notification	A service for sending asynchronous notifications using a private channel, leveraging access control policies, sensor network infrastructure and HTML5 websockets.
Multi Tenancy	Resources can be shared or restricted with a multi-tenant / multi-user approach including semantic, application and more important observations and things.
• PaaS	Allows the configuration of unlimited business monitoring activities with zero programming. Its not an API, its not a web service or SDK, it is a real platform for the IoT.
• SaaS App Marketplace	Allows the configuration of unlimited business monitoring activities with zero programming. Its not an API, its not a web service or SDK, it is a real platform for the IoT.
Things urn (Unique IDs)	Integrated industrial standards to uniquely identify things like Electronic product code, devices mac addresses, vehicles VIN, BLE devices unique id and others to offers a things unique identifiers schema.
Simulation	Allows the end to end simulation of IoT solution, without the need to invest in hardware or deploy it in the field to analyze an IoT solution performance.
Edge / Near to device	IOT Gateway system based on air protocols like Zigbee, LoRa, BLE, Wifi GPRS and others and M2M, industrial and solution protocols like OPC AC, ODB, SNMP, iBeacons, BLE, edystonne, LLRP, EPC and others bridged to a domian specific IoT RESTful HTTP.
Event processing: Rule engine/Orchestration/BPM	A method of tracking and analyzing streams of information about things that happen and deriving a conclusion from them including action.
• Point and Click Configuration	Graphical user experience to configure IoT solution leveraging an IoT domain specific language.
Dedicated gateway	Hardware component to execute at the edge IoT intelligent, device management, M2M communication and bridge airs and solutions protocols to an IoT domain specific.
• GPIO	Allows to get as near as possible to the devices and convert digital control lines from/to IoT protocol.
Protocols abstraction extensions	Using semantic new observations and thing type can be defined at the cloud to integrate a new protocol, at the edge a hosting environment and SDK plug and play architecture is available to integrate a new protocol. The m2m-Bridge stack in a implementation of the DAP.
Multiprotocol support	Bridges solution, industrial, M2M and air protocols to a IoT web semantic protocol.
• SNMP	The protocol governing network management and the monitoring of network devices and their functions.
• LLRP	Low Level Reader Protocol, ratified by EPCGlobal in April, 2007. It is designed as a standard in order for developers to have a common programmatic interface to RFID readers from different manufacturers.
• EPC	The Electronic Product Code is designed as a universal identifier that provides a unique identity for every physical object anywhere in the world, provides standards for 11 industries.
• BLE iBeacon, Eddystone	Bluetooth beacons uses Bluetooth low energy proximity sensing to transmit a universally unique identifier, telemetrics and/or device's physical location.
• OPC Unified Architecture	The OPC Foundation standards specify the communication of industrial process data, alarms and events, historical data and batch process data between sensors, instruments, controllers, software systems, and notification devices.
• ODB2	On-board diagnostics gives access to the status of the various vehicle subsystems.
• Telemetrics	Measurements and other data are collected at remote points and transmitted to cloud.
• Bluetooth Low Energy	The power-efficiency of Bluetooth with low energy functionality makes it perfect for devices that run for long periods on power sources such as coin cell batteries or energy-harvesting devices.
• Zigbee	ZigBee is an IEEE 802.15.4 based specification for a suite of high-level communication protocols used to create personal area networks with small, low-power digital radios.
• LoRa	Low Power Wide Area Network (LPWAN) specification intended for wireless battery operated Things in regional, national or global network. LoRaWAN target key requirements of internet of things such as secure bi-directional communication, mobility and localization services.
• Sigfox	Sigfox is a wireless networks to connect low-energy objects such as electricity meters, smart watches, smart sensors and washing machines, which need to be continuously on and emitting small amounts of data. Its technology is aimed at the Internet of Things.
Automatic deployment	At startup time the gateway communicates with the cloud validates the configuration using access control polices and gets the information related with devices connectivity, management, discover, business rules, mesh configuration and intelligence at the edge.
Autoconfigurationt	Allows from a template configuration using PaaS tools automatic deploy a SaaS configuration using access control, cloning, name convention and location aware concepts.
M2M communications	Direct communication between devices to achieve IoT solution requirements including intelligence, commands, data collection and mesh concepts.
• Intelligence	Each protocol implementation implements logic and algorithms to maximize the intelligence to execute at the edge and minimize the amount of data to send to the cloud including smoothing, changed analisies , agregation, correlation, recover from connection errors, observations and topics enrichment and others.
M2M-Bridges mesh nework	A mesh network is a network topology in which each node relays data for the network. All mesh nodes cooperate in the distribution of data in the network.
• Aggregation/Correlation	Uses routing technique to configure a set of IoT gateways to cooperate in the aggregation of collected data, routing M2M communications, including achieving connectivity range with sensors.