DATA CHALLENGES WITH
Edge devices have limited storage capacity compared to servers, which limits the amount of data stored on the device.
Edge devices have limited processing power compared to cloud-based systems, which makes it challenging to analyze and large volumes of data in real-time.
Data ingestion and storage can consume system resources and impact the performance of edge devices. This can lead to unresponsiveness and failures.
Edge devices are sometimes deployed in locations with limited bandwidth, which can make it challenging to transmit data to other systems for storage or analysis.
KEY LIMITATIONS OF SQLite
Limited ingestion speed
SQLite’s limited ingestion speed prevents it from being used in many applications with high data volume.
Constrained compression ratio
The insufficient compression ratio of SQLite seriously limits the history capabilities of the device.
Inadequate streaming analytics
SQLite is slow on data aggregation, which further amplifies the ingestion and compression problems and increases CPU usage.
WHY USE QUASARDB FOR AN EDGE DATABASE?
1. Industry-leading data compression ratio of 40:1
Thanks to industry-proven, patented compression algorithms, Quasar Edge compresses data faster than it arrives, significantly reducing disk usage while enabling fast queries. This is especially important for edge computing with a limited storage capacity.
2. Ingestion: millions of rows per second on edge devices
Achieved through streaming compression, novel data structures, and an innovative hybrid in-memory/disk architecture, Quasar Edge has a track record of handling large data sets even despite the constraints of an edge device.
3. No latency: real-time data analytics
In addition to data compression and fast ingestion capabilities, Quasar Edge also offers real-time, streaming data analytics, and an extremely optimized query engine for time-series data, delivering powerful, immediate analytics, right at the edge.
4. Small footprint
Quasar Edge is a lightweight, self-contained database engine that is well-suited for edge devices due to its efficiency, small footprint, and low resource requirements. It supports a wide range of architectures from ARM32 to Intel x64.
5. Quick deployment
Quasar Edge supports SQL queries, a native Python interface, and all the standards your business depends on, which makes it easier for industrial engineers and analysts to access and analyze data without requiring specialized programming skills.
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