HPE Data Fabric vs. SAP Adaptive Server Enterprise (ASE)

MapR is more well-suited for people who know what they are doing. I consider MapR the Hadoop distribution professionals use.

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We use this for an inbuilt security management system, where it performs well in a scaled setup with a large volume of live data with high availability. Also, the performance is up to the mark for the large statement flow. From a DBA perspective, a lot of parameters need to be fine-tuned for the specific environment needs, which can cause overhead. Expertise is limited, and the learning curve is steep for the SAP ASE.

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• MapR had very fast I/O throughput. The write speed was several times faster than what we could achieve with the other Hadoop vendors (Cloudera and Hortonworks). This is because MapR does not use HDFS, which is essentially a "meta filesystem". HDFS is built on top of the filesystem provided by the OS. MapR has their filesystem called MapR-FS, which is a true filesystem and accesses the raw disk drives.
• The MapR filesystem is very easy to integrate with other Linux filesystems. When working with HDFS from Apache Hadoop, you usually have to use either the HDFS API or various Hadoop/HDFS command line utilities to interact with HDFS. You cannot use command line utilities native to the host operation system, which is usually Linux. At least, it is not easily done without setting up NFS, gateways, etc. With MapR-FS, you can mount the filesystem within Linux and use the standard Unix commands to manipulate files.
• The HBase distribution provided by MapR is very similar to the Apache HBase distribution. Cloudera and Hortonworks add GUIs and other various tools on top of their HBase distributions. The MapR HBase distribution is very similar to the Apache distribution, which is nice if you are more accustomed to using Apache HBase.

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• High availability and reliability.
• High performance.
• Monitoring of threshold based events.
• Security at multiple levels.
• Query plan optimization.
• Lock management.
• Access to HANA.

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• It takes time to get latest versions of Apache ecosystem tools released as it has to be adapted.
• When you have issues related to Mapr-FS or Mapr Tables, its hard to figure them out by ourselves.
• Sometime new ecosystem tools versions are released without proper QA.

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• A quick button for devs to switch instances into a dev mode (eliminating logs, and such).
• Licensing is far too complicated. Simplify pricing.

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Our licenses are perpetual. It is the support that we will be renewing. We will renew because we continue to use and receive value from the product.

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Well-suited in the security domain, high performance, and low latency of the DBMS. In terms of the DBA perspective, a dedicated monitoring tool (Cockpit) helps a lot in terms of managing the database, which helps in identifying bottlenecks during performance issues. Also, it helps us to send custom alerts related to Database activities.

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Incredibly responsive, saving us countless hours in troubleshooting.

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I don't believe there is as much support for MapR yet compared to other more widely known products.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• Increased employee efficiency for sure. Our clients have various levels of expertise in their deployment and user teams, and we never receive complaints about MapR.
• MapR is used by one of our financial services clients who uses it for fraud detection and user pattern analysis. They are able to turn around data much faster than they previously had with in-house applications

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• Positive ROI.
• Ease of use with minimal training required to write high performance SQL (assumes a knowledge of SQL already).
• Ease of database administration.
• Sometimes upgrades can be difficult.
• Changing platforms can be difficult (changing say from SPARC to Intel).
• Changing operating systems can be difficult (changing from Solaris to linux).

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