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Hortonworks Pursues Open Source Path Analytical DBMS: HBase; although not a DBMS, Hive is Hortonworks' option for SQL querying on top of Hadoop. In-memory DBMS: Although not a DBMS, Apache Spark supports in-memory analysis on top of Hadoop. Hadoop distributions: Hortonworks Data Platform (HDP) 2.0, HDP for Windows, Hortonworks Sandbox (free, single-node desktop software offering Hadoop tutorials). Stream-processing technology: Open-source stream-processing options on Hadoop include Storm. Hardware/software systems: Partner appliances, preconfigured hardware, or both available from HP, Teradata and others. Hortonworks is a massive contributor to the open-source Hadoop community focused on building it into a broadly capable data-management platform. Hortonworks sets itself apart from competitors Cloudera and MapR by eschewing proprietary components. Everything in the Hortonworks Data Platform (HDP) is freely available as open-source software. To its critics -- the aforementioned competitors -- Hortonworks pushes this open-source point to a fault, waiting to ship sought-after functionality until it is community sanctified and avoiding new (and perhaps technically better approaches) that are not entirely open source. Hortonworks is sticking with -- and trying to improve -- Hive, for example, while Cloudera promises better SQL-on-Hadoop performance with Impala, which is open source, technically, but best managed with proprietary Cloudera Manager software. In short, HDP is the conservative Hadoop distribution, and Hortonworks reportedly undercuts its competitors on support costs. Hortonworks makes the point that there's no threat of vendor lock-in with its distribution, and everything shipping has been thoroughly tested and proven. You won't get any surprises, but nor will you get anything ahead of the rest of the community in performance, ease of management, or functionality.

Hortonworks Pursues Open Source Path

Analytical DBMS: HBase; although not a DBMS, Hive is Hortonworks' option for SQL querying on top of Hadoop.
In-memory DBMS: Although not a DBMS, Apache Spark supports in-memory analysis on top of Hadoop.
Hadoop distributions: Hortonworks Data Platform (HDP) 2.0, HDP for Windows, Hortonworks Sandbox (free, single-node desktop software offering Hadoop tutorials).
Stream-processing technology: Open-source stream-processing options on Hadoop include Storm.
Hardware/software systems: Partner appliances, preconfigured hardware, or both available from HP, Teradata and others.
Hortonworks is a massive contributor to the open-source Hadoop community focused on building it into a broadly capable data-management platform. Hortonworks sets itself apart from competitors Cloudera and MapR by eschewing proprietary components. Everything in the Hortonworks Data Platform (HDP) is freely available as open-source software.
To its critics -- the aforementioned competitors -- Hortonworks pushes this open-source point to a fault, waiting to ship sought-after functionality until it is community sanctified and avoiding new (and perhaps technically better approaches) that are not entirely open source. Hortonworks is sticking with -- and trying to improve -- Hive, for example, while Cloudera promises better SQL-on-Hadoop performance with Impala, which is open source, technically, but best managed with proprietary Cloudera Manager software.
In short, HDP is the conservative Hadoop distribution, and Hortonworks reportedly undercuts its competitors on support costs. Hortonworks makes the point that there's no threat of vendor lock-in with its distribution, and everything shipping has been thoroughly tested and proven. You won't get any surprises, but nor will you get anything ahead of the rest of the community in performance, ease of management, or functionality.

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