Actian Zen Edge Data Management
Single, secure, scalable solution
for IoT and mobile data
processing and analytics
Zero-Administration, Embeddable, Nano-Footprint Edge Data Management
Edge applications and devices increasingly rely on AI to improve automation and end-user decision support – whether that be human or machine – in stand-alone, peer-to-peer, local network, cloud or a mixed environment. The underlying edge data management must be capable of leveraging a variety of hardware architectures, operating environments, networks, communications interfaces, and programming and scripting languages for the applications that make use of these resources. The Actian Zen Edge Data Management solution delivers against this broad and demanding set of requirements.
Single, secure, scalable architecture supports concurrent read and write, NoSQL and SQL across all popular embedded environments
Faster than leading purpose-built DBs at time-series, JSON-based or BLOB document store, and orders of magnitude faster than SQLite
Provides AES 256-bit Encryption for data at rest and transports that data without ETL between devices, gateways, branches and cloud
Avoid ETL between devices, gateways, branch and cloud environments – improve speed, integration cost, remove security vulnerabilities
Plurilogic extends Pluriportail with campus-wide student and asset tracking using Actian Zen Edge and RF-ID
Tracking attendance and assets using RF-ID technology and embedded database systems on K-12 and higher education campuses
“With Actian 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.”
Friends don’t let friends use flat files
It made perfect sense in the past but dealing with ETL, your own data security, portability, indexing, time-stamping, and a host of other features built-in to modern edge data management solutions no longer has to be a trade-off against some 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.
Actian 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: 2MB client to 35MB 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
Tsubakimoto’s Material Handling System is capable of sorting up to 10,000 items per hour.
Actian Zen is the database infrastructure, supporting extremely high-speed conveyor belt operations in manufacturing and transportation and logistics
“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 Actian Zen’s reading and writing speed at all.”
Multi-model yet unparalleled performance across all data types – see benchmarks
SQLite … good enough just isn’t in today’s demanding use cases
Actian Zen Editions
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
The Use Cases for Edge Intelligence are everywhere and in every industry.
From chronic disease management in healthcare to digital twinning in manufacturing, the breath and depth of use cases for edge intelligence is seemingly limitless. The growth of IoT and Mobile and the coming infusion of AI into them is driving the need to harness and exploit the underlying data at the edge rather than simply tossing it or sending it back to the Cloud.
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 capable of managing 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 during periods of dis-connectivity?
- Can you handle high-speed, multi-channel data collection and local Machine Learning inference?
If you’re struggling with any of these questions, you’re probably struggling with your Edge Data Management and need to modernize.
Embedded Database Management for IoT and Edge Environments
Edge Intelligent applications will need to embed sophisticated data management but Developers don’t want to become Database managers or deal with a myriad of them. Here’s some challenges, constraints, and issues they should consider.
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.
Finally, a Developer Centric NoSQL/SQL Engine that covers all your Edge Data Management Requirements.
Developers are increasingly faced with the need to leverage flat files for resource constrained or real-time data collection and storage, SQLite for client-only platform universality, and several databases to individually address JSON/Document data, time-series, and of course traditional structured transaction data.
With Actian Zen, developers get a simple NoSQL API (or alternatively, Actian Zen also offers full SQL with ACID compliance) that covers all their standalone embedded application needs at the device or gateway level and publish-subscribe support for 100s or 1000s of downstream devices or upstream servers in traditional client-server, intranet or Cloud configurations. And, all this capability can be accessed as CLI or through most popular programming and scripting languages.
SQLite … good enough just isn’t in today’s demanding use cases
Upgrade from earlier versions of PSQL to Zen
Packaged and priced for the Embedded OEM market and Operational Technology
Actian Zen is based on PSQL and is backward compatible to 1994 and each version is supported at least seven years.