Hi Samuel, sorry for late response. I'm Jihoon Son, a PMC member of Apache Tajo.
Of course, I prefer Tajo. This is because not only I'm working on it, but also it is really cool. Tajo is originally designed for data warehouse system. So, it can provide a good analysis experience to users with low latency and high throughput. Thanks to its fault-tolerant and SQL-oriented nature, it can conduct interactive ad-hoc analysis as well as batch execution efficiently. An additional representative advantage of Tajo is the rich SQL support. It "currently" supports most of popular features of SQL. Meanwhile, unfortunately, it does not support transactions. So, if you need a data warehouse system, please consider Tajo as a candidate. Sincrely, Jihoon 2015-02-02 9:54 GMT+09:00 Samuel Marks <[email protected]>: > Since Hadoop <https://hive.apache.org> came out, there have been various > commercial and/or open-source attempts to expose some compatibility with > SQL <http://drill.apache.org>. Obviously by posting here I am not > expecting an unbiased answer. > > Seeking an SQL-on-Hadoop offering which provides: low-latency querying, > and supports the most common CRUD <https://spark.apache.org>, including > [the basics!] along these lines: CREATE TABLE, INSERT INTO, SELECT * FROM, > UPDATE Table SET C1=2 WHERE, DELETE FROM, and DROP TABLE. Transactional > support would be nice also, but is not a must-have. > > Essentially I want a full replacement for the more traditional RDBMS, one > which can scale from 1 node to a serious Hadoop cluster. > > Python is my language of choice for interfacing, however there does seem > to be a Python JDBC wrapper <https://spark.apache.org/sql>. > > Here is what I've found thus far: > > - Apache Hive <https://hive.apache.org> (SQL-like, with interactive > SQL thanks to the Stinger initiative) > - Apache Drill <http://drill.apache.org> (ANSI SQL support) > - Apache Spark <https://spark.apache.org> (Spark SQL > <https://spark.apache.org/sql>, queries only, add data via Hive, RDD > > <https://spark.apache.org/docs/latest/api/scala/index.html#org.apache.spark.sql.SchemaRDD> > or Paraquet <http://parquet.io/>) > - Apache Phoenix <http://phoenix.apache.org> (built atop Apache HBase > <http://hbase.apache.org>, lacks full transaction > <http://en.wikipedia.org/wiki/Database_transaction> support, relational > operators <http://en.wikipedia.org/wiki/Relational_operators> and some > built-in functions) > - Cloudera Impala > > <http://www.cloudera.com/content/cloudera/en/products-and-services/cdh/impala.html> > (significant HiveQL support, some SQL language support, no support for > indexes on its tables, importantly missing DELETE, UPDATE and INTERSECT; > amongst others) > - Presto <https://github.com/facebook/presto> from Facebook (can query > Hive, Cassandra <http://cassandra.apache.org>, relational DBs &etc. > Doesn't seem to be designed for low-latency responses across small > clusters, or support UPDATE operations. It is optimized for data > warehousing or analytics¹ > <http://prestodb.io/docs/current/overview/use-cases.html>) > - SQL-Hadoop <https://www.mapr.com/why-hadoop/sql-hadoop> via MapR > community edition <https://www.mapr.com/products/hadoop-download> > (seems to be a packaging of Hive, HP Vertica > <http://www.vertica.com/hp-vertica-products/sqlonhadoop>, SparkSQL, > Drill and a native ODBC wrapper > <http://package.mapr.com/tools/MapR-ODBC/MapR_ODBC>) > - Apache Kylin <http://www.kylin.io> from Ebay (provides an SQL > interface and multi-dimensional analysis [OLAP > <http://en.wikipedia.org/wiki/OLAP>], "… offers ANSI SQL on Hadoop and > supports most ANSI SQL query functions". It depends on HDFS, MapReduce, > Hive and HBase; and seems targeted at very large data-sets though maintains > low query latency) > - Apache Tajo <http://tajo.apache.org> (ANSI/ISO SQL standard > compliance with JDBC <http://en.wikipedia.org/wiki/JDBC> driver > support [benchmarks against Hive and Impala > > <http://blogs.gartner.com/nick-heudecker/apache-tajo-enters-the-sql-on-hadoop-space> > ]) > - Cascading <http://en.wikipedia.org/wiki/Cascading_%28software%29>'s > Lingual <http://docs.cascading.org/lingual/1.0/>² > <http://docs.cascading.org/lingual/1.0/#sql-support> ("Lingual > provides JDBC Drivers, a SQL command shell, and a catalog manager for > publishing files [or any resource] as schemas and tables.") > > Which—from this list or elsewhere—would you recommend, and why? > Thanks for all suggestions, > > Samuel Marks > http://linkedin.com/in/samuelmarks >
