Remove Benchmarking Remove Document Remove Latency
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Benchmark (YCSB) numbers for Redis, MongoDB, Couchbase2, Yugabyte and BangDB

High Scalability

We note that for MongoDB update latency is really very low (low is better) compared to other dbs, however the read latency is on the higher side. The latency table shows that 99th percentile latency for Yugabyte is quite high compared to others (lower is better). Again Yugabyte latency is quite high. Conclusion.

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RabbitMQ vs. Kafka: Key Differences

Scalegrid

Its partitioned log architecture supports both queuing and publish-subscribe models, allowing it to handle large-scale event processing with minimal latency. Apache Kafka uses a custom TCP/IP protocol for high throughput and low latency. Apache Kafka, designed for distributed event streaming, maintains low latency at scale.

Latency 147
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Edgar: Solving Mysteries Faster with Observability

The Netflix TechBlog

As a request flows between services, each distinct unit of work is documented as a span. Telltale provides Edgar with latency benchmarks that indicate if the individual trace’s latency is abnormal for this given service. starting and finishing a method). Is this an anomaly or are we dealing with a pattern?

Latency 298
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ScyllaDB Trends – How Users Deploy The Real-Time Big Data Database

Scalegrid

ScyllaDB offers significantly lower latency which allows you to process a high volume of data with minimal delay. In fact, according to ScyllaDB’s performance benchmark report, their 99.9 percentile latency is up to 11X better than Cassandra on AWS EC2 bare metal. So this type of performance has to come at a cost, right?

Big Data 187
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Maximizing Performance of AWS RDS for MySQL with Dedicated Log Volumes

Percona

DLVs are particularly advantageous for databases with large allocated storage, high I/O per second (IOPS) requirements, or latency-sensitive workloads. We performed a standard benchmarking test using the sysbench tool to compare the performance of a DLV instance vs a standard RDS MySQL instance, as shared in the following section.

AWS 117
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Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

O'Reilly

Evaluation : How do we evaluate such systems, especially when outputs are qualitative, subjective, or hard to benchmark? Any scenario in which a student is looking for information that the corpus of documents can answer. Wrong document retrieval : Debug chunking strategy, retrieval method. How do we do so?

Systems 69
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Deep dive into NVIDIA Blackwell Benchmarks — where does the 4x training and 30x inference…

Adrian Cockcroft

Most publications have simply reported the benchmark improvement claims, but if you stop to think about them, the numbers dont make sense based on a simplistic view of the technology changes. So first thing to understand is that the benchmark skips a generation and compares product that differs over about a two year interval.