Apache Hadoop HDFS vs Tencent Cloud Application Performance Management
Apache Hadoop HDFS
hadoop.apache.orgTencent Cloud Application Performance Management
intl.cloud.tencent.comSide by side
| Figure | Apache Hadoop HDFS | Tencent Cloud Application Performance Management |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | Yes | — |
| Web | — | Yes |
| Windows | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 17 |
| Spec score · Data Lake Software | 8.9 (#1) | 8.5 (#3) |
| Cloud integrations | The current documentation lists compatible file systems for Amazon S3, Azure Blob, Azure Data Lake, Google Cloud Storage, Aliyun OSS, Tencent COS, Huawei OBS and VolcanoEngine TOS. | APM can associate request traces with Cloud Log Service logs and display Cloud Monitor dashboards; trace delivery to CKafka is also supported with configuration and permissions. |
| Rating on G2 | 4.4 out of 5 from 141 reviews | 4.5 out of 5 from 3 reviews |
Plans
Apache Hadoop HDFS
- Apache Hadoop HDFSFree
- Apache Hadoop / HDFS open-source distributionFree
Tencent Cloud Application Performance Management
- Developer Experience PackagePrice not published
- Developer Experience PackagePriced on request
- Developer Standard PackagePriced on request
- Developer Standard PackagePrice not published
- Enterprise Basic PackagePriced on request
- Enterprise Basic PackagePrice not published
- Enterprise Professional PackagePriced on request
- Enterprise Professional PackagePrice not published
- Flagship PackagePrice not published
- Flagship PackagePriced on request
In their own words
Apache Hadoop HDFS
Apache Hadoop HDFS is a free, open-source distributed file system for high-throughput access to large application data sets on commodity hardware. It is designed for clusters of hundreds of nodes and can support tens of millions of files in one instance. HDFS copies file blocks across machines and detects failed DataNodes so it can start creating replacement copies. Its design prioritizes batch processing and streaming throughput rather than low-latency interactive workloads. Files follow a write-once, read-many model: appends and truncates are supported, but arbitrary in-place changes are not. Applications can connect through Java, a C wrapper, REST, a browser interface or an NFS gateway. The documentation lists connectors for Google Cloud Storage, Amazon S3, Azure Blob Storage and Azure Data Lake Storage. HDFS supports transparent encryption. Apache warns that without Kerberos caller authentication, anyone with network access to cluster servers can access data and run code, and recommends securing clusters before production. Apache also recommends checking release downloads with GPG signatures or SHA-512 checksums. The listed stable release is Hadoop 3.5.0, dated April 2, 2026.
Tencent Cloud Application Performance Management
Tencent Cloud Application Performance Management (APM) monitors application performance through metrics, traces and logs, and supports analysis and troubleshooting across distributed architectures. It uses probes to monitor applications in real time without code modifications. Traces map request paths across microservices and can include request parameters, transaction data, errors, exceptions, method stacks and instance environment details. APM also discovers application dependencies and shows global topologies for examining application and component bottlenecks.
Its analysis groups performance and exception metrics by dimensions such as API, exception and database call, helping identify slow APIs, SQL statements and recurring exceptions. Named database integrations include MySQL, Oracle, MongoDB and Redis. APM supports OpenTelemetry and works with SkyWalking and Jaeger tracing protocols when reporting configuration is changed. It can associate traces with Cloud Log Service logs, display Cloud Monitor dashboards, and send traces to CKafka with configuration and permissions. Applications outside Tencent Cloud can connect when network access is available. New users receive a 15-day trial, limited to 100 million reported Spans and seven-day trace storage; pay-as-you-go also lists one million Spans per day free for reporting and retention. Pricing includes a $0.02 a month pay-as-you-go rate billed hourly per million Spans reported, plus retention at 0.012 USD per million Spans per day.