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Intelligent, context-aware AI analytics for all your custom metrics

Dynatrace

Seamlessly report and be alerted on non-topology-related custom metrics, using Dynatrace as a metric database. Because you can now seamlessly report non-topological metrics, you can now use Dynatrace as a metric database. The post Intelligent, context-aware AI analytics for all your custom metrics appeared first on Dynatrace blog.

Metrics 246
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Benchmark (YCSB) numbers for Redis, MongoDB, Couchbase2, Yugabyte and BangDB

High Scalability

This is guest post by Sachin Sinha who is passionate about data, analytics and machine learning at scale. This article is to simply report the YCSB bench test results in detail for five NoSQL databases namely Redis, MongoDB, Couchbase, Yugabyte and BangDB and compare the result side by side. Workload C: Read only. About YCSB.

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Designing Instagram

High Scalability

We will use a graph database such as Neo4j to store the information. Additionally, we can use columnar databases like Cassandra to store information like user feeds, activities, and counters. Sample Queries supported by Graph Database. Subsequently, the data entities C and D denote the different actions which users may take.

Design 334
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HammerDB v4.0 New Features Pt1: TPROC-C & TPROC-H

HammerDB

compared to previous releases is that the workload names have changed from TPC-C and TPC-H to TPROC-C and TPROC-H respectively and therefore a key question is how are the v4.0 The simple answer is nothing, the workloads are exactly the same workloads derived from the TPC-C and TPC-H specifications and HammerDB v4.0

C++ 40
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RSA Guide 2023: Cloud application security remains core challenge for organizations

Dynatrace

According to a recent survey, even among organizations that have shifted left, 75% of C-suite executives say security challenges limit their ability to innovate. Meanwhile, traditional databases have demonstrated limitations in increasingly complex and distributed cloud-native environments.

Cloud 201
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MariaDB vs MySQL: Key Differences and Use Cases

Percona

Before we dive into the differences between MariaDB and MySQL, we will provide a thorough examination of each relational database management system (RDBMS). While originally designed to be a drop-in replacement for MySQL, it evolved into its own distinct database management system and is now maintained and supported by the MariaDB Foundation.

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HammerDB v4.2 New Features Pt1: MariaDB Build and Test Example with the CLI

HammerDB

However, as the two databases diverged from a shared common codebase, this presented a challenge in that it was not possible to modify the workload for MySQL or MariaDB without also changing the other. Checking database library for MariaDB Error: failed to load mariatcl - couldn't load file "/home/HammerDB-4.2/lib/mariatcl0.1/libmariatcl0.1.so":

Testing 57