架构上存在根本的差异，这使得每个平台在延迟、扩展和状态管理方面都非常不同。
在最基本的层面上，
apachestorm使用记录确认来保证消息传递。
apacheapex使用检查点来保证消息传递。
你可以在下面的博客中了解更多的不同之处，其中还包括其他主流处理平台。
https://databaseline.wordpress.com/2016/03/12/an-overview-of-apache-streaming-technologies/

体系结构和特点

+-------------------+---------------------------+---------------------+
|                   |           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         |
+-------------------+---------------------------+---------------------+

可操作性

+------------+--------------------------+---------------------+
|            |           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     |
+------------+--------------------------+---------------------+

来源：网络研讨会：ApacheApex（下一代hadoop）vs.storm-比较和迁移概述https://www.youtube.com/watch?v=spjyo2hfd_i