Elasticsearch’s latest innovation in log management cuts the storage footprint of log data by up to 65%, enabling observability and security teams to expand visibility without exceeding their budget while keeping all data accessible and searchable.
Key features of LogsDB Index Mode include:
- Improved indexing speed and efficiency for log data, which is typically unstructured and high volume.
- Enhanced storage efficiency by utilizing a columnar storage format, which is better suited for log data analysis.
- Simplified configuration and tuning, making it easier to manage and optimize log data workflows.
Key features of LogsDB Index Mode include:
- Improved indexing speed and efficiency for log data, which is typically unstructured and high volume.
- Enhanced storage efficiency by utilizing a columnar storage format, which is better suited for log data analysis.
- Simplified configuration and tuning, making it easier to manage and optimize log data workflows.
The article discusses the evolution of search databases and how vector databases are emerging as a powerful alternative to traditional search engines like Elasticsearch.
A mapping of Vespa terminology to equivalent concepts in Elasticsearch, OpenSearch, and Solr.
