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What is the difference between sematext and elasticsearch?


Asked by Logan Atkins on Dec 02, 2021 FAQ



Sematext bridges the gap between performance monitoring, real user monitoring, transaction tracing, and logs in one dynamic solution. Sematext offers fully managed Elasticsearch and Kibana with no need for high-cost Elasticsearch expert staff and infrastructure. This means no time wasted on maintenance.
Accordingly,
Elasticsearch is a search and analytics engine. Logstash is a server-side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.
Additionally, With Elasticsearch gaining in popularity, several hosted Elasticsearch services emerged on the market. Some of them, like Sematext Cloud, expose a subset of Elasticsearch API in addition to providing enterprise-grade features for users, like security, alerting and anomaly detection, reporting and so on.
In respect to this,
ElasticSearch had 13% higher throughput when it came to indexing documents but Solr was ten times faster. When it came to querying for documents, Solr had five times more throughput and was five times faster than ElasticSearch. Since the long history of Apache Solr, I think one strength of the Solr is its ecosystem.
Just so,
Elastic Stack Features includes monitoring part, which can be used for real-time performance analysis as well. It is based on the metrics returned by Elasticsearch, so if something is happening with the JVM on which Elasticsearch is running you may not be able to get the metrics.