वास्तुकला और सुविधाएँ
+-------------------+---------------------------+---------------------+
| | Storm | Apex |
+-------------------+---------------------------+---------------------+
| Model | Native Streaming | Native Streaming |
| | Micro batch (Trident | |
+-------------------+---------------------------+---------------------+
| Language | Java. | Java (Scala) |
| | Ability to use non | |
| | JVM languages support | |
+-------------------+---------------------------+---------------------+
| API | Compositional | Compositional (DAG) |
| | Declarative (Trident) | Declarative |
| | Limited SQL | |
| | support (Trident) | |
+-------------------+---------------------------+---------------------+
| Locality | Data Locality | Advance Processing |
+-------------------+---------------------------+---------------------+
| Latency | Low | Very Low |
| | High (Trident) | |
+-------------------+---------------------------+---------------------+
| Throughput | Limited in Ack mode | Very high |
+-------------------+---------------------------+---------------------+
| Scalibility | Limited due to Ack | Horizontal |
+-------------------+---------------------------+---------------------+
| Partitioning | Standard | Advance |
| | Set parallelism at work, | Parallel pipes, |
| | executor and task level | unifiers |
+-------------------+---------------------------+---------------------+
| Connector Library | Limited (certification) | Rich library of |
| | | connectors in |
| | | Apex Malhar |
+-------------------+---------------------------+---------------------+
Operability
+------------+--------------------------+---------------------+
| | Storm | Apex |
+------------+--------------------------+---------------------+
| State | External store | Checkpointing |
| Management | Limited checkpointing | Local checkpointing |
| | Difficult to exploit | |
| | local state | |
+------------+--------------------------+---------------------+
| Recovery | Cumbersome API to | Incremental |
| | store and retrieve state | (buffer server) |
| | Require user code | |
+------------+--------------------------+---------------------+
| Processing | At least once | |
| Semantic | Exactly once require | At least once |
| | user code and affect | End to end |
| | latency | |
| | | exactly once |
+------------+--------------------------+---------------------+
| Back | Watermark on queue | Automatic |
| Pressure | size for spout and bolt | Buffer server |
| | Does not scale | memory and disk |
+------------+--------------------------+---------------------+
| Elasticity | Through CLI only | Yes w/ full user |
| | | control |
+------------+--------------------------+---------------------+
| Dynamic | No | Yes |
| topology | | |
+------------+--------------------------+---------------------+
| Security | Kerberos | Kerberos, RBAC, |
| | | LDAP |
+------------+--------------------------+---------------------+
| Multi | Mesos, RAS - memory, | YARN |
| Tenancy | CPU, YARN | full isolation |
+------------+--------------------------+---------------------+
| DevOps | REST API | REST API |
| Tools | Basic UI | DataTorrent RTS |
+------------+--------------------------+---------------------+
स्रोत: वेबिनार: अपाचे एपेक्स (अगला जनरल Hadoop) तूफान बनाम - तुलना और प्रवासन रूपरेखा https://www.youtube.com/watch?v=sPjyo2HfD_I
अपाचे फ्लिंक और अपाचे बीम, सभी डीएजी प्रोसेसर – user3613754
जोड़ें कृपया भी उपयोग-मामलों को जोड़ें, मैं पसंद करता हूं कि किस प्रकार का उपयोग केस प्रत्येक के लिए उपयुक्त है। – ChikuMiku