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From Lei Chang <chang.lei...@gmail.com>
Subject Re: what is Hawq?
Date Fri, 13 Nov 2015 06:43:24 GMT
Like what Bob said, HAWQ is a complete database and Drill is just a query

And HAWQ has also a lot of other benefits over Drill, for example:

1. SQL completeness: HAWQ is the best for the sql-on-hadoop engines, can
run all TPCDS queries without any changes. And support almost all third
party tools, such as Tableau et al.
2. Performance: proved the best in the hadoop world
3. Scalability: high scalable via high speed UDP based interconnect.
4. Transactions: as I know, drill does not support transactions. it is a
nightmare for end users to keep consistency.
5. Advanced resource management: HAWQ has the most advanced resource
management. It natively supports YARN and easy to use hierarchical resource
queues. Resources can be managed and enforced on query and operator level.


On Fri, Nov 13, 2015 at 9:34 AM, Adaryl "Bob" Wakefield, MBA <
adaryl.wakefield@hotmail.com> wrote:

> There are a lot of tools that do a lot of things. Believe me it’s a full
> time job keeping track of what is going on in the apache world. As I
> understand it, Drill is just a query engine while Hawq is an actual
> database...some what anyway.
> Adaryl "Bob" Wakefield, MBA
> Principal
> Mass Street Analytics, LLC
> 913.938.6685
> www.linkedin.com/in/bobwakefieldmba
> Twitter: @BobLovesData
> *From:* Will Wagner <wowagner@gmail.com>
> *Sent:* Thursday, November 12, 2015 7:42 AM
> *To:* user@hawq.incubator.apache.org
> *Subject:* Re: what is Hawq?
> Hi Lie,
> Great answer.
> I have a follow up question.
> Everything HAWQ is capable of doing is already covered by Apache Drill.
> Why do we need another tool?
> Thank you,
> Will W
> On Nov 12, 2015 12:25 AM, "Lei Chang" <chang.lei.cn@gmail.com> wrote:
>> Hi Bob,
>> Apache HAWQ is a Hadoop native SQL query engine that combines the key
>> technological advantages of MPP database with the scalability and
>> convenience of Hadoop. HAWQ reads data from and writes data to HDFS
>> natively. HAWQ delivers industry-leading performance and linear
>> scalability. It provides users the tools to confidently and successfully
>> interact with petabyte range data sets. HAWQ provides users with a
>> complete, standards compliant SQL interface. More specifically, HAWQ has
>> the following features:
>>    - On-premise or cloud deployment
>>    - Robust ANSI SQL compliance: SQL-92, SQL-99, SQL-2003, OLAP
>>    extension
>>    - Extremely high performance. many times faster than other Hadoop SQL
>>    engine.
>>    - World-class parallel optimizer
>>    - Full transaction capability and consistency guarantee: ACID
>>    - Dynamic data flow engine through high speed UDP based interconnect
>>    - Elastic execution engine based on virtual segment & data locality
>>    - Support multiple level partitioning and List/Range based
>>    partitioned tables.
>>    - Multiple compression method support: snappy, gzip, quicklz, RLE
>>    - Multi-language user defined function support: python, perl, java,
>>    c/c++, R
>>    - Advanced machine learning and data mining functionalities through
>>    MADLib
>>    - Dynamic node expansion: in seconds
>>    - Most advanced three level resource management: Integrate with YARN
>>    and hierarchical resource queues.
>>    - Easy access of all HDFS data and external system data (for example,
>>    HBase)
>>    - Hadoop Native: from storage (HDFS), resource management (YARN) to
>>    deployment (Ambari).
>>    - Authentication & Granular authorization: Kerberos, SSL and role
>>    based access
>>    - Advanced C/C++ access library to HDFS and YARN: libhdfs3 & libYARN
>>    - Support most third party tools: Tableau, SAS et al.
>>    - Standard connectivity: JDBC/ODBC
>> And the link here can give you more information around hawq:
>> https://cwiki.apache.org/confluence/display/HAWQ/About+HAWQ
>> And please also see the answers inline to your specific questions:
>> On Thu, Nov 12, 2015 at 4:09 PM, Adaryl "Bob" Wakefield, MBA <
>> adaryl.wakefield@hotmail.com> wrote:
>>> Silly question right? Thing is I’ve read a bit and watched some YouTube
>>> videos and I’m still not quite sure what I can and can’t do with Hawq. Is
>>> it a true database or is it like Hive where I need to use HCatalog?
>> It is a true database, you can think it is like a parallel postgres but
>> with much more functionalities and it works natively in hadoop world.
>> HCatalog is not necessary. But you can read data registered in HCatalog
>> with the new feature "hcatalog integration".
>>> Can I write data intensive applications against it using ODBC? Does it
>>> enforce referential integrity? Does it have stored procedures?
>> ODBC: yes, both JDBC/ODBC are supported
>> referential integrity: currently not supported.
>> Stored procedures: yes.
>>> B.
>> Please let us know if you have any other questions.
>> Cheers
>> Lei

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