HPE Ezmeral Data Fabric (MapR) vs. Oracle Exadata

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
HPE Ezmeral Data Fabric (MapR)
Score 9.4 out of 10
N/A
HPE Ezmeral Data Fabric (formerly MapR, acquired by HPE in 2019) is a software-defined datastore and file system that simplifies data management and analytics by unifying data across core, edge, and multicloud sources into a single platform. Just as a loom weaves multiple threads into a single piece of fabric, HPE Ezmeral Data Fabric weaves distributed data into a single enterprise-wide data layer that ingests, processes, and stores data once and then makes it available for reuse across multiple…N/A
Oracle Exadata
Score 9.3 out of 10
N/A
Oracle Exadata is an enterprise database platform that runs Oracle Database workloads of any scale and criticality with high performance, availability, and security. Exadata’s scale-out design employs optimizations that let transaction processing, analytics, machine learning, and mixed workloads run faster. Consolidating diverse Oracle Database workloads on Exadata platforms in enterprise data centers, Oracle Cloud Infrastructure (OCI), and multicloud environments helps organizations increase…
$2.90
Per Unit
Pricing
HPE Ezmeral Data Fabric (MapR)Oracle Exadata
Editions & Modules
No answers on this topic
Database Server
$2.9032
Per Unit
Quarter Rack
$14.5162
Per Unit
Offerings
Pricing Offerings
HPE Ezmeral Data Fabric (MapR)Oracle Exadata
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
HPE Ezmeral Data Fabric (MapR)Oracle Exadata
Top Pros
Top Cons
Features
HPE Ezmeral Data Fabric (MapR)Oracle Exadata
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
HPE Ezmeral Data Fabric (MapR)
-
Ratings
Oracle Exadata
10.0
2 Ratings
13% above category average
Multi-User Support (named login)00 Ratings10.02 Ratings
Multiple Access Permission Levels (Create, Read, Delete)00 Ratings10.02 Ratings
Single Sign-On (SSO)00 Ratings10.01 Ratings
Data Warehouse
Comparison of Data Warehouse features of Product A and Product B
HPE Ezmeral Data Fabric (MapR)
-
Ratings
Oracle Exadata
9.3
2 Ratings
19% above category average
High-Volume Data Processing00 Ratings10.02 Ratings
Data Warehouse Management00 Ratings10.02 Ratings
Administrative Automation00 Ratings7.02 Ratings
Self-Optimization00 Ratings10.02 Ratings
Best Alternatives
HPE Ezmeral Data Fabric (MapR)Oracle Exadata
Small Businesses

No answers on this topic

Google BigQuery
Google BigQuery
Score 8.7 out of 10
Medium-sized Companies
Cloudera Manager
Cloudera Manager
Score 9.9 out of 10
Cloudera Enterprise Data Hub
Cloudera Enterprise Data Hub
Score 9.0 out of 10
Enterprises
IBM Analytics Engine
IBM Analytics Engine
Score 7.8 out of 10
Cloudera Enterprise Data Hub
Cloudera Enterprise Data Hub
Score 9.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
HPE Ezmeral Data Fabric (MapR)Oracle Exadata
Likelihood to Recommend
7.2
(4 ratings)
10.0
(23 ratings)
Usability
-
(0 ratings)
10.0
(2 ratings)
User Testimonials
HPE Ezmeral Data Fabric (MapR)Oracle Exadata
Likelihood to Recommend
Hewlett Packard Enterprise
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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Oracle
  • First, get the database on Oracle. If you are in an Oracle stack, it would be much better to use the Oracle products. If you are driving a Ferrari, you wouldn’t put a Mercedes engine in it. If you are writing a query, you cannot rely on other brands. Since I'm an architect, when I look for a product, I look for performance.
  • The installation is easy because it comes out-of-the-box and you just start using it.
  • Previous to Oracle Exadata, we were using a normal Oracle RAC service. We were just waiting for this product to come out.
  • I'm currently writing a data warehouse on Exadata. Before this solution, we were aiming for this to be completed by 8 a.m., when our ETLs would finish. With the help of Exadata's special features, this was reduced to 3 a.m. This solution allows us to bring more data within the same time period. It provides us with more subject areas that provide more reports to our users. Our ETL times reduced to 65%, then to 50%.
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Pros
Hewlett Packard Enterprise
  • 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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Oracle
  • High speed of SQL operations due to a unique design of Exadata with offloading of SQL processing to storage cells
  • Built-in High Availability of a DB server due to it's base architecture of a multi-node Oracle Real Application Cluster
  • High overall sever performance due to its use of a proprietary "Smart Cache" feature utilizing a high speed flash memory
  • Excellent scalability of a DB server by adding cluster nodes as well as expanding it into a network of serially connected clusters
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Cons
Hewlett Packard Enterprise
  • 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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Oracle
  • Integrating with different types of databases can be a challenge
  • Having a hardware platform optimized to run specific database software surely comes with a price
  • Single vendor to support same hardware and software will make migrating to different hardware and/or software become a hassle
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Usability
Hewlett Packard Enterprise
No answers on this topic
Oracle
Excellent machine for your database needs . Don’t have to think twice if you have the budget to own it
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Alternatives Considered
Hewlett Packard Enterprise
I don't believe there is as much support for MapR yet compared to other more widely known products.
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Oracle
Oracle Exadata Database Machine had the best performance overall hands down. It clearly beat the competition and we were seeing 1000X improvement on SAP HANA. Oracle Exadata Database Machine beat that without us refactoring our code. To achieve that in HANA, we had to refactor the code somewhat. Now this was for our limited POC of 5 use cases. Given the large number of stored procedures we had in Sybase, we need to capture more production metrics but we are seeing incredible performance.
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Return on Investment
Hewlett Packard Enterprise
  • 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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Oracle
  • Single support from a single vendor with both machine and database from Oracle, which is costing us less.
  • With Exadata, we need less technical manpower and less technical support. A business transaction with the integrated and centralized database helps us focus on other business needs.
  • We don't need to buy additional licenses and Hardware for the next 3 to 5 years.
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ScreenShots