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Why Developers Choose HCL Zen Edge Data Management?
video 20:18
DBTA Webinar Enabling Time-Series Analysis for Mobile and IoT
Why Developers Choose HCL Zen Edge Data Management?
Edge applications and devices increasingly rely on AI to improve automation and decisions – human and machine – in stand-alone, peer-to-peer, local network, cloud and hybrid environments. The underlying edge data management must leverage a variety of hardware architectures, operating environments, networks, communications interfaces, and programming and scripting languages for applications that use these resources. Zen Edge Data Management delivers against these broad and demanding requirements.
Zen Edge Data Management Features
Simplicity
Single, secure, scalable architecture supports concurrent read and write, using NoSQL and SQL across popular embedded environments
Speed
Faster than leading purpose-built databases at time-series, JSON-based or Blob document stores, and SQLite
Security
Provides data encryption for data at rest and in transit
Synchronization
Avoid ETL between devices, gateways, branch and cloud environments – improve speed, lower integration cost, and remove security vulnerabilities
What Our Customers Are Saying
With Zen data management products, we’ve been able to extend our integrated solutions in the classroom and across campuses to better track and manage students and institutional assets, extending our capabilities to IoT and mobile devices.
From our first adoption to the present of course, we have considered changing data base several times, but when it came to an actual performance test, other powerful databases could not reach Zen’s reading and writing speed at all.
With the evolution of the Zen architecture, we can now deploy a small footprint/IoT-enabled database that can run in a serverless mode with just client libraries. That opens up whole new opportunities for customers to put inexpensive IoT-enabled devices into settings that used to require expensive PLC devices.
Friends don’t let friends use flat files
Friends don’t let friends use flat files
ETL, data security, portability, indexing, time-stamping, and other features built-in to modern edge data management solutions no longer require a complex database that doesn’t fit your edge use case. With Zen you get the simplicity of file system APIs with the robust functionality of a real-time database.
Zen: Zero-DBA, Embedded, Nano-footprint, Multi-Model, Multi-Platform
Zen: Zero-DBA, Embedded, Nano-footprint, Multi-Model, Multi-Platform
- Single architecture – from device to gateway, from server to cloud
- Multi-model, multi-platform, embedded in most popular languages
- No ETL between clients, servers, and cloud
- Modular: 7MB client to 50MB server to full enterprise under 200MB
- AES 256-bit military-grade encryption
- Embed in apps, configurable through APIs
- Built-in automated defragmentation
- Single data file/table size of 64 TB
Multi-model yet unparalleled performance across all data types
See Benchmarks
Today’s use cases demand more than SQLite.
Zen Editions
Zen Core
- For mobile/IoT devices
- Dedicated DB Engine with NoSQL API and SQL
- Embeds directly in apps as packaged libraries
- Client and Peer-to-Peer
- 7 MB footprint
- Royalty-free development and deployment
Zen Edge
- Embed in Edge gateways and complex machinery
- Full Client-Server functionality
- >100s of concurrent users
- 50MB footprint
Zen Enterprise
-
Zen Workgroup for Windows
- Embed/bundle with ERP verticals, and other complex apps
- >1000s of concurrent users for branch NS central office
- 175MB footprint
Zen Cloud Server
- Cloud-ready version of Zen Enterprise
- Runs in VMs and Containers
- Embed/bundle in complex SaaS apps or managed services
Add-On Software
DataExchange
- Exchange data and two-way synchronization of Zen and PSQL databases
- Backup and recovery to/from multiple remote replication sites
- Built in 256-bit encryption
- Separate replication event handler and replication engine ensure zero impact on operational databases
Backup Agent
- Backup operational Zen and PSQL databases
- Works with all major 3rd party backup software
- API for use embeds in your application
- Maintains data integrity and continuity without service interruptions
AuditMaster
- Generates logs of all DB events, delivering a detailed audit trail
- No changes to the application needed
- Query and alert capability configurable against specific compliance and security policies
- Support diagnosis and data recovery of before/after images
- Real-time support of operational Zen and PSQL databases
Upgrade from PSQL to Zen
Eight Indicators you need to modernize your Edge Data Management
Eight Indicators you need to modernize your Edge Data Management
- Do you need to analyze and make real-time decisions at the point of action?
- Are you able to manage large sets of local and shared persistent data at the edge?
- Do you need to run on multiple OSes from Android/iOS to Windows/Linux?
- Do you use multiple programming and scripting languages to develop your edge applications?
- Do you support varied types of data: JSON, Blob, traditional structured, etc.?
- Are you struggling to support standalone, peer-to-peer, client-server, Internet/Intranet architectures?
- Do you operate as stand-alone when disconnected?
- Can you handle high-speed, multi-channel data collection and local machine learning inference?
Embedded Database Management for IoT and Edge Environments
Embedded Database Management for IoT and Edge Environments
Edge Intelligent applications need to embed sophisticated data management so developers don’t have to become database managers. Here’s some challenges, constraints, and issues to consider.
Zen Python demo for Facial Recognition on a Jetson board
Zen Python demo for Facial Recognition on a Jetson board
On a Jeff Fritz podcast, Tom Bates from Actian describes how he used Open Source ML routines and cameras to do real-time facial recognition detection and Zen DB storage on a Jetson.
