About
Oracle Big Data Service makes it easy for customers to deploy Hadoop clusters of all sizes, with VM shapes ranging from 1 OCPU to a dedicated bare metal environment. Customers choose between high-performance NVmE storage or cost-effective block storage, and can grow or shrink their clusters. Quickly create Hadoop-based data lakes to extend or complement customer data warehouses, and ensure that all data is both accessible and managed cost-effectively. Query, visualize and transform data so data scientists can build machine learning models using the included notebook with its R, Python and SQL support. Move customer-managed Hadoop clusters to a fully-managed cloud-based service, reducing management costs and improving resource utilization.
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About
Oracle Data Service Integrator provides companies the ability to quickly develop and manage federated data services for accessing single views of disparate information. Oracle Data Service Integrator is completely standards-based, declarative, and enables re-usability of data services. Oracle Data Service Integrator is the only data federation technology that supports the creation of bidirectional (read and write) data services from multiple data sources. In addition, Oracle Data Service Integrator offers the breakthrough capability of eliminating coding by graphically modeling both simple and complex updates to heterogeneous data sources. Install, verify, uninstall, upgrade, and get started with Data Service Integrator. Oracle Data Service Integrator was originally known as Liquid Data and AquaLogic Data Services Platform (ALDSP). Some instances of the original names remain in the product, installation path, and components.
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About
Load your data into or out of Hadoop and data lakes. Prep it so it's ready for reports, visualizations or advanced analytics – all inside the data lakes. And do it all yourself, quickly and easily. Makes it easy to access, transform and manage data stored in Hadoop or data lakes with a web-based interface that reduces training requirements. Built from the ground up to manage big data on Hadoop or in data lakes; not repurposed from existing IT-focused tools. Lets you group multiple directives to run simultaneously or one after the other. Schedule and automate directives using the exposed Public API. Enables you to share and secure directives. Call them from SAS Data Integration Studio, uniting technical and nontechnical user activities. Includes built-in directives – casing, gender and pattern analysis, field extraction, match-merge and cluster-survive. Profiling runs in-parallel on the Hadoop cluster for better performance.
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About
Django-MySQL extends Django’s built-in MySQL and MariaDB support their specific features not available on other databases. A new cache backend that makes use of MySQL’s upsert statement and does compression. Named locks for easy locking of e.g. external resources. Extra checks added to Django’s check framework to ensure your Django and MySQL configurations are optimal. Django-MySQL comes with a number of extensions to QuerySet that can be installed in a number of ways - e.g. adding the QuerySetMixin to your existing QuerySet subclass.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Companies searching for a Big Data platform
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Audience
Companies and enterprises looking for a solution to develop and manage federated data services
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Audience
Companies looking for a self-service data preparation solution to manage big data on their own terms
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Audience
Component Library solution for developers
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
$0.1344 per hour
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationOracle
Founded: 1977
United States
www.oracle.com/big-data/big-data-service/
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Company InformationOracle
Founded: 1977
United States
www.oracle.com/middleware/technologies/data-service-integrator.html
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Company InformationSAS
Founded: 1976
United States
www.sas.com/en_us/software/data-loader-for-hadoop.html
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Company Informationdjango-mysql
United Kingdom
pypi.org/project/django-mysql/
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Alternatives |
Alternatives |
Alternatives |
Alternatives |
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Categories |
Categories |
Categories |
Categories |
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Integrations
Docker
Hadoop
Impala
Kubernetes
MariaDB
Microsoft 365
Microsoft Power BI
MySQL
Oracle Cloud Infrastructure
SAS Analytics for IoT
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Integrations
Docker
Hadoop
Impala
Kubernetes
MariaDB
Microsoft 365
Microsoft Power BI
MySQL
Oracle Cloud Infrastructure
SAS Analytics for IoT
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Integrations
Docker
Hadoop
Impala
Kubernetes
MariaDB
Microsoft 365
Microsoft Power BI
MySQL
Oracle Cloud Infrastructure
SAS Analytics for IoT
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Integrations
Docker
Hadoop
Impala
Kubernetes
MariaDB
Microsoft 365
Microsoft Power BI
MySQL
Oracle Cloud Infrastructure
SAS Analytics for IoT
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