Save up to 90% on costs and turbocharge your Kibana dashboards.
Save up to 90% on costs and turbocharge your Kibana dashboards.
Save up to 90% on costs and turbocharge your Kibana dashboards.
Love Kibana and Logstash? No problem!
Love Kibana and Logstash? No problem!
Love Kibana and Logstash? No problem!
The best part? You can offload your data to more efficient storage like ClickHouse while keeping the rest of your Elastic Stack—including Kibana (or OpenSearch Dashboards) and Logstash/Beats (or DataPrepper)!
The best part? You can offload your data to more efficient storage like ClickHouse while keeping the rest of your Elastic Stack—including Kibana (or OpenSearch Dashboards) and Logstash/Beats (or DataPrepper)!
The best part? You can offload your data to more efficient storage like ClickHouse while keeping the rest of your Elastic Stack—including Kibana (or OpenSearch Dashboards) and Logstash/Beats (or DataPrepper)!
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Choose the best tool for the job.
Choose the best tool for the job.
Choose the best tool for the job.
No magic tricks—just smart indexing. The right data indexing strategy depends on the scenario, and some approaches are far more efficient for handling high log volumes.
No magic tricks—just smart indexing. The right data indexing strategy depends on the scenario, and some approaches are far more efficient for handling high log volumes.
No magic tricks—just smart indexing. The right data indexing strategy depends on the scenario, and some approaches are far more efficient for handling high log volumes.
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1. Raw scan: Modern c6a. 4x large can process 40+ gb/
sec. even with 1tg daily, last hour search is less than a second.
1. Raw scan: Modern c6a. 4x large can process 40+ gb/ sec. even with 1tg daily, last hour search is less than a second.
1. Raw scan: Modern c6a. 4x large can process 40+ gb/
sec. even with 1tg daily, last hour search is less than a second.
2. Bloomfilter skip Index. Many 50MB block can be skipped. we are sure those block won’t have matches. user @example is not present in 95% of blocks.
2. Bloomfilter skip Index. Many 50MB block can be skipped. we are sure those block won’t have matches. user @example is not present in 95% of blocks.
2. Bloomfilter skip Index. Many 50MB block can be skipped. we are sure those block won’t have matches. user @example is not present in 95% of blocks.
Enter Quesma for Elastic.
Enter Quesma for Elastic.
Enter Quesma for Elastic.
Quesma’s smart database gateway bridges Elastic/OpenSearch stack components like Kibana, OSD, Logstash, and Beats with ultra-fast, cost-effective analytical databases like ClickHouse.
Quesma’s smart database gateway bridges Elastic/OpenSearch stack components like Kibana, OSD, Logstash, and Beats with ultra-fast, cost-effective analytical databases like ClickHouse.
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Frequently asked questions
Frequently asked questions
Frequently asked questions
How can I try it?
The easiest way is to visit our GitHub page and follow the provided getting started instructions—it’s free!
What databases are supported?
How much do I need to change?
How much latency do you add?
Is a SaaS option available?
How can I try it?
The easiest way is to visit our GitHub page and follow the provided getting started instructions—it’s free!
What databases are supported?
How much do I need to change?
How much latency do you add?
Is a SaaS option available?
How can I try it?
The easiest way is to visit our GitHub page and follow the provided getting started instructions—it’s free!
What databases are supported?
How much do I need to change?
How much latency do you add?
Is a SaaS option available?