Apache Kudu

Kevin Feasel

2016-09-27

Hadoop

Greg Rahn discusses Apache Kudu:

At a high level, Kudu is a new storage manager that enables durable single-record inserts, updates, and deletes, as well as fast and efficient columnar scans due to its in-memory row format and on-disk columnar format.  This architecture makes Kudu very attractive for data that arrives as a single record at a time or that may need to be modified at a later time.

Today, many users try to solve this challenge via a Lambda architecture, which presents inherent challenges by requiring different code bases and storage for the necessary batch and real-time components. Using Kudu and Impala together completely avoids this problematic complexity by easily and immediately making data inserted into Kudu available for querying and analytics via Impala. (For more technical details on how Impala and Kudu work together for analytical workloads, see this post.)

I’d jokingly say “Someday, somebody’s going to reinvent the relational database inside of Hadoop.”  But it seems like that’s less of a joke than a medium-term prediction.

Related Posts

Hortonworks Data Platform 3.0 Released

Saumitra Buragohain, et al, announce the newest version of the Hortonworks Data Platform: Highlighted Apache Hive features include: Workload management for LLAP:  You can assign resource pools within LLAP pool and allocate resources on a per user or per group basis. This enables support for large multi-tenant deployments. ACID v2 and ACID on by default:  We are […]

Read More

Replicating Data In HDFS Between Clusters

Murali Ramasami and Niru Anisetti have an article showing how to use the Hortonworks Data Lifecycle Manager to set up replication between two Hadoop clusters: Data Lifecycle Manager (DLM) delivers on the promise of location-agnostic, secure replication by encapsulating and copying data seamlessly across physical private storage and public cloud environments. This empowers businesses to […]

Read More

Categories

September 2016
MTWTFSS
« Aug Oct »
 1234
567891011
12131415161718
19202122232425
2627282930