Software Alternatives, Accelerators & Startups
Register | Login

Xplenty VS Tibco Data Science

Compare Xplenty VS Tibco Data Science and see what are their differences

LaunchBrightly
Automatically generate screenshots reflecting the latest version of your product and eliminate the manual burden of updating product screenshots in your help center. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Xplenty logo Xplenty

Xplenty is the #1 SecurETL - allowing you to build low-code data pipelines on the most secure and flexible data transformation platform. No longer worry about manual data transformations. Start your free 14-day trial now.

Tibco Data Science logo Tibco Data Science

Data science is a team sport. Data scientists, citizen data scientists, business users, and developers need flexible and extensible tools that promote collaboration, automation, and...
  • Xplenty Landing page
    Landing page //
    2023-09-18

Xplenty is a cloud-based ETL (extract, transform, load), ELT (extract, load, transform), and Reverse ETL data integration platform that easily unites multiple data sources. The Xplenty platform offers a simple, intuitive visual interface for building data pipelines between a large number of sources and destinations. Contact us for a free 14 day trial on the platform.

  • Tibco Data Science Landing page
    Landing page //
    2022-10-04

Xplenty

Website
xplenty.com
$ Details
Free Trial
Platforms
Cloud Salesforce REST API
Release Date
2012 January
Startup details
Country
Israel
City
Tel Aviv
Employees
10 - 19
Edit details

Tibco Data Science

Website
tibco.com
$ Details
-
Platforms
-
Release Date
-
Edit details

Xplenty videos

+ Add

Xplenty - The Leading Data Integration Platform

More videos:

  • Demo - Create a Customer 360 View with Xplenty & Salesforce
  • Review - Xplenty Customer Story - CloudFactory

Tibco Data Science videos

No Tibco Data Science videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Xplenty and Tibco Data Science)

Xplenty

Tibco Data Science

Data Integration
100 100%
Data Integration
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
ETL
100 100%
ETL
0% 0
Business & Commerce
0 0%
Business & Commerce
100% 100

User comments

Share your experience with using Xplenty and Tibco Data Science. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Xplenty and Tibco Data Science

Xplenty Reviews

Top 7 ETL Tools for 2021
Scalability, security, and excellent customer support are a few more advantages of Xplenty. For example, Xplenty has a new feature called Field Level Encryption, which allows users to encrypt and decrypt data fields using their own encryption key. Xplenty also makes sure to maintain regulatory compliance to laws like HIPPA, GDPR, and CCPA.
Source: www.xplenty.com
The 11 Best Low-Code Development Platforms
Xplenty is a low-code and no-code ETL (extract, transfer and load) data integration platform. It is made for both small, non-technical businesses and for deeply technical developers and engineers. It allows users to easily build data pipelines to and from over 100 data sources and destinations. Xplenty provides versatility, customization, and pre-built integrations to...
Source: www.xplenty.com
Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
Customer Story Keith connected multiple data sources with Amazon Redshift to transform, organize and analyze their customer data. Amazon Redshift Keith Slater Senior Developer at Creative Anvil Before we started with Xplenty, we were trying to move data from many different data sources into Redshift. Xplenty has helped us do that quickly and easily. The best feature of the...
Source: www.xplenty.com

Tibco Data Science Reviews

Top 7 Predictive Analytics Tools
TIBCO Data Science/Statistica puts the emphasis on usability, with a lot of collaboration and workflow features built into the tool to make business intelligence possible across an organization. This makes it a good choice for a company if they expect lesser-trained staff will use the tool. It also integrates with a wide range of other analytics tools, making it easy to...
Source: www.datamation.com
15 data science tools to consider using in 2021
The development of SAS started in 1966 at North Carolina State University; use of the technology began to grow in the early 1970s, and SAS Institute was founded in 1976 as an independent company. The software was initially built for use by statisticians -- SAS was short for Statistical Analysis System. But, over time, it was expanded to include a broad set of functionality...
Source: searchbusinessanalytics.techtarget.com
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: TIBCO offers an expansive product portfolio for modern BI, descriptive and predictive analytics, and streaming analytics and data science. TIBCO Data Science lets users do data preparation, model building, deployment and monitoring. It also features AutoML, drag-and-drop workflows, and embedded Jupyter Notebooks for sharing reusable modules. Users can run...
Source: solutionsreview.com

What are some alternatives?

When comparing Xplenty and Tibco Data Science, you can also consider the following products

Talend Data Integration - Talend offers open source middleware solutions that address big data integration, data management and application integration needs for businesses of all sizes.

RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

Matillion - Matillion is a cloud-based data integration software.

MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming

Talend Data Services Platform - Talend Data Services Platform is a single solution for data and application integration to deliver projects faster at a lower cost.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

Loading...