Data compression in qradar

What are the components of QRadar?
QRadar component types
QRadar Console.
The QRadar Console provides the QRadar product interface, real-time event and flow views, reports, offenses, asset information, and administrative functions. Event Collector. QRadar Flow Collector. Flow Processor..
DataNodes are the slave nodes in HDFS.
The actual data is stored on DataNodes.
A functional filesystem has more than one DataNode, with data replicated across them.
On startup, a DataNode connects to the NameNode; spinning until that service comes up.
IBM QRadar collects, processes, aggregates, and stores network data in real time.
QRadar uses that data to manage network security by providing real-time information and monitoring, alerts and offenses, and responses to network threats.
The default retention period for most asset data is 120 days after the last time it was either passively or actively observed in QRadar.
User names are retained for 30 days.

Does storage performance affect QRadar performance?

For the most part, the higher the level of storage performance, the faster QRadar will be able to write, index and query data; however the performance costs need to be measured against your performance requirements when designing your system.

What happens if QRadar reaches 85% usage?

Once 85% usage is reached, QRadar compresses data starting with the oldest and ending with data more than 4 hours old.
Once all data is compressed and usage is still at 85%, QRadar will then delete data that is older than the retention setting.
As of QRadar 7.2.7 all data is compressed.

What is the new data format in QRadar?

Data is compressed in memory and is written out to disk in a proprietary binary compressed format.
The new data format enables a better search performance and a more efficient use of system resources than the previous data format.
The previous data format did not have a native built-in compression in older versions of QRadar.

What's new in QRadar V7?

As of QRadar V.7.2.7, a new data format with native data compression is used.
Data is compressed in memory and is written out to disk in a proprietary binary compressed format.
The new data format enables a better search performance and a more efficient use of system resources than the previous data format.

How does QRadar® store event and flow data?

QRadar® stores event and flow data in a custom minute-by-minute time-series Ariel database

When QRadar processes the event or flow and needs to store event or flow data on disk, this information is stored in a series of flat files in chronological order

What is the new data format in QRadar?

Data is compressed in memory and is written out to disk in a proprietary binary compressed format

The new data format enables a better search performance and a more efficient use of system resources than the previous data format

The previous data format did not have a native built-in compression in older versions of QRadar

Why does QRadar compress and decompress data?

The amount of data on your disk is another important consideration

Once the total percentage of data stored on disk reaches 85%, QRadar starts compressing data to have more space

But this compressing and decompressing of data adds to the overhead when QRadar searches and indexes data

Once 85% usage is reached, QRadar compresses data starting with the oldest and ending with data more than 4 hours old. Once all data is compressed and usage is still at 85%, QRadar will then delete data that is older than the retention setting. As of QRadar 7.2.7 all data is compressed.

Data compression in qradar

What are the components of QRadar?

QRadar component types

Does storage performance affect QRadar performance?

What happens if QRadar reaches 85% usage?

What is the new data format in QRadar?

What's new in QRadar V7?

How does QRadar® store event and flow data?

What is the new data format in QRadar?

Why does QRadar compress and decompress data?