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Databases

Database monitoring is the process of tracking, analysing, and optimizing the performance and health of database systems. We provide reviews and comparisons of database monitoring tools, explore common challenges, and cover essential practices for optimizing database performance and health.

Graph Database Benchmark: Neo4j vs FalkorDB vs Memgraph

DatabasesMar 27

We benchmarked Neo4j, FalkorDB, and Memgraph on a synthetic graph derived from 120,000 Amazon product reviews (381K nodes, 804K edges).

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DatabasesMar 26

Top 5 Open Source Database Monitoring Tools

Commercial database monitoring tools often promise polished interfaces and dedicated enterprise support. Open-source solutions are increasingly chosen for their transparency, cost-effectiveness, community-driven development, and flexibility.

DatabasesMar 16

MongoDB Monitoring: SolarWinds vs New Relic vs Datadog

We installed SolarWinds, Datadog, and New Relic on clean systems running MongoDB 7.0 to test. We went through each tool’s complete setup process, documenting every step and roadblock. MongoDB Performance Monitoring Tools Benchmark Results MongoDB monitoring performance summary You can also see how these platforms monitor MySQL and our test environment and methodology 1.

DatabasesMar 16

MySQL Monitoring: SolarWinds vs New Relic vs Datadog

We installed three database monitoring platforms on a clean system running MySQL to see how they handle database monitoring from scratch. We examined: Ease of setup, onboarding experience, agent resource consumption, accuracy in metric measurement and effectiveness of their alerting systems’ notifications when issues arise under real-world database workloads.

DatabasesMar 16

Best Database Performance Monitoring Tools: Top 5 Platforms Compared

Database issues cause application failures: A memory spike crashes your server, and a slow query times out user requests. We analyzed six database monitoring platforms and benchmarked three of them extensively on MySQL and MongoDB by installing them from scratch, running identical workloads, and documenting every step of the setup and monitoring experience.