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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Paradime is an advanced analytics platform powered by AI, aimed at improving data operations by speeding up dbt pipeline processes, lowering data warehouse expenses by more than 20%, and enhancing the return on investment for analytics. Its intelligent integrated development environment (IDE) simplifies dbt development, potentially leading to a coding time reduction of up to 83%, while its continuous integration and continuous deployment (CI/CD) functionalities accelerate pipeline delivery, diminishing the necessity for extra platform engineers. The Radar feature further refines data operations by offering automatic savings and boosting efficiency. With over 50 integrations, Paradime connects effortlessly with different applications to facilitate extensive analytics workflows. Tailored for enterprise usage, it guarantees secure, adaptable, and scalable solutions for large-scale data management. Compliance with GDPR and CCPA regulations is ensured through the implementation of appropriate technical and organizational safeguards to protect user data. Furthermore, regular vulnerability assessments and annual penetration tests are conducted to maintain the integrity and security of infrastructure systems, providing peace of mind to users. Overall, Paradime is not just a tool; it is a comprehensive solution designed to tackle the complexities of modern data analytics efficiently.

Description

IBM® StreamSets allows users to create and maintain smart streaming data pipelines using an intuitive graphical user interface. This facilitates seamless data integration in hybrid and multicloud environments. IBM StreamSets is used by leading global companies to support millions data pipelines, for modern analytics and intelligent applications. Reduce data staleness, and enable real-time information at scale. Handle millions of records across thousands of pipelines in seconds. Drag-and-drop processors that automatically detect and adapt to data drift will protect your data pipelines against unexpected changes and shifts. Create streaming pipelines for ingesting structured, semistructured, or unstructured data to deliver it to multiple destinations.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

PostgreSQL
Snowflake
Amazon Redshift
Amazon Web Services (AWS)
Asana
Azure Industrial IoT
Bitbucket
CrateDB
Delta Lake
Elasticsearch
Firebolt
GitLab
Google Cloud BigQuery
Google Sheets
HPE Ezmeral Data Fabric
Looker
MySQL
Redis
Sigma
Splunk Cloud Platform

Integrations

PostgreSQL
Snowflake
Amazon Redshift
Amazon Web Services (AWS)
Asana
Azure Industrial IoT
Bitbucket
CrateDB
Delta Lake
Elasticsearch
Firebolt
GitLab
Google Cloud BigQuery
Google Sheets
HPE Ezmeral Data Fabric
Looker
MySQL
Redis
Sigma
Splunk Cloud Platform

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$1000 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Paradime

Founded

2020

Country

United States

Website

www.paradime.io

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/products/streamsets

Product Features

Cloud Cost Management

Cost Reduction Optimization
Dashboard
Data Import/Export
Data Storage
Data Visualization
Resource Usage Reporting
Roles / Permissions
Spend and Cost Reporting

Product Features

DevOps

Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

Alternatives

Alternatives

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