So, we built Kognitio for MapR specifically for massively parallel analytical query processing directly on MapR data. Now you can run hundreds of concurrent SQL queries over your big data sets, so your MapR cluster is even faster to query.
Running directly on your MapR cluster’s nodes, sharing CPU resources with other software and storing its internal data within the MapR-FS.
With Kognitio for MapR, you get huge query throughput and high concurrency to serve all your users, directly on your data.
that eliminates the need for workload-specific tuning and can run mix-workload use cases at the same time
such as Python and R, and invoke that code from inside your queries within Kognitio
to have the same consistent Kognitio interface to your data across Hadoop, MapR, standalone and cloud
There are more than twenty different SQL on Hadoop platforms and multiple use cases for deployment, but the market is far from monocultural. Different SQL on Hadoop engines are optimized for some use cases but not others.
To learn more about how SQL on Hadoop platforms compare, download the full comparison chart.
Before you begin with Kognitio for MapR:
Check you have MapR version 5.2.2, with or without security, and MapR version 6.0.0 or later
The nodes which will run Kognitio software will need to have the MapR loopbacknfs client set up on them so maprfs can be accessed as /mapr
Install the prerequisite libraries required for Kognitio
Adjust the limits of /dev/shm filesystem if you intend to use more than half the available RAM for Kognitio. Read more here.
Kognitio offers Premium and Standard tiers of service to address the support requirements of any organization.
If you deploy Kognitio on standalone servers or on MapR, it’s free up to 512GB RAM. But should you need more RAM to evaluate Kognitio properly, just get in touch.
No, we have one version of Kognitio which comes with full functionality and various deployment options.
Kognitio on Hadoop is free and revenue for that comes from customers who wish to take out paid support.
If you deploy Kognitio on standalone servers or on MapR, you will require a software license for use above 512GB RAM.
We offer a range of support options for Kognitio. For more information visit our support page.
There are large variations in the performance, flexibility and maturity of available SQL engines.
Hive, Impala and SparkSQL, for example, are new SQL implementations that were developed from scratch for Hadoop. Yet SQL is a very large, complex standard which is difficult enough to implement on a serial platform, but to implement it in parallel is incredibly difficult and time consuming.
For 25 years, Kognitio has been developing parallel SQL. So our SQL engine is much more mature and proven to scale-out for the high concurrency required by business users. Kognitio is also a true in-memory engine.
If you intend to use Kognitio on a Hadoop cluster under YARN, you should install the “on Hadoop” version.
If you intend to use Kognitio on MapR, download the MapR version.
If you are not running Hadoop or MapR, then you should install the standalone version of Kognitio.
Read our blog.
