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Average Ratings 0 Ratings

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features
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support

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Description

Oracle Data Access Components (ODAC) encompass a collection of tools and drivers specifically designed for Windows and .NET environments. This suite not only facilitates .NET data access but also integrates Microsoft Visual Studio tools for creating applications that interface with Oracle databases, including ASP.NET providers. ODAC ensures extensive client support, optimizing advanced features of Oracle databases, such as enhanced performance, robust high availability, and stringent security measures. Moreover, it is seamlessly integrated with Visual Studio, offering developers a streamlined and efficient development environment. The Oracle Data Provider for .NET adheres to Microsoft’s ADO.NET interface, granting straightforward access to Oracle databases. Additionally, the OLAP Data Manipulation Language (OLAP DML) allows users to define and manipulate objects within analytic workspaces effectively. With a focus on high performance, ODAC offers a rich set of mechanisms for data access through Microsoft ADO and OLE DB, and it provides essential information regarding installation, post-installation setup, and operational guidelines to ensure users can utilize it to its fullest potential. Overall, ODAC serves as a comprehensive solution for developers working with Oracle databases in a .NET framework.

Description

Pandas is an open-source data analysis and manipulation tool that is not only fast and powerful but also highly flexible and user-friendly, all within the Python programming ecosystem. It provides various tools for importing and exporting data across different formats, including CSV, text files, Microsoft Excel, SQL databases, and the efficient HDF5 format. With its intelligent data alignment capabilities and integrated management of missing values, users benefit from automatic label-based alignment during computations, which simplifies the process of organizing disordered data. The library features a robust group-by engine that allows for sophisticated aggregating and transforming operations, enabling users to easily perform split-apply-combine actions on their datasets. Additionally, pandas offers extensive time series functionality, including the ability to generate date ranges, convert frequencies, and apply moving window statistics, as well as manage date shifting and lagging. Users can even create custom time offsets tailored to specific domains and join time series data without the risk of losing any information. This comprehensive set of features makes pandas an essential tool for anyone working with data in Python.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

.NET Yes 
ApertureDB No 
Coiled No 
DagsHub No 
Dagster No 
Flower No 
GLM-5.3 No 
Kedro No 
LanceDB No 
MLJAR Studio No 
Netdata No 
Oracle Database Yes 
RunCode No 
Spyder No 
TeamStation No 
ThinkData Works No 
Yandex Data Proc No 
skills.ai No 

Integrations

.NET No 
ApertureDB Yes 
Coiled Yes 
DagsHub Yes 
Dagster Yes 
Flower Yes 
GLM-5.3 Yes 
Kedro Yes 
LanceDB Yes 
MLJAR Studio Yes 
Netdata Yes 
Oracle Database No 
RunCode Yes 
Spyder Yes 
TeamStation Yes 
ThinkData Works Yes 
Yandex Data Proc Yes 
skills.ai Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Oracle

Country

United States

Website

docs.oracle.com/en/database/oracle/oracle-data-access-components/

Vendor Details

Company Name

pandas

Founded

2008

Website

pandas.pydata.org

Product Features

Product Features

Data Analysis

Data Discovery No 
Data Visualization No 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

Alternatives

Alternatives

ML.NET Reviews

ML.NET

Microsoft