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Description
DataHub offers a range of SDKs and APIs, along with numerous third-party plugins like Flume and Logstash. Importing data into DataHub is a streamlined process that enhances efficiency. The DataConnector module ensures that the imported data is synchronized with downstream storage and analysis systems in real-time, including services like MaxCompute, OSS, and Tablestore. Moreover, users can import diverse data types generated by applications, websites, IoT devices, or databases directly into DataHub in real-time. With DataHub, data management can be conducted in a cohesive manner. Additionally, users have the capability to send data to downstream systems, including analytical and archiving systems. By doing so, you can establish a robust data streaming pipeline that maximizes the value extracted from your data. This integration not only simplifies workflows but also enhances the overall data processing experience.
Description
Transform the way you view time in data analytics. With the ability to access your business data almost instantly, you can operate directly from your dashboard without the need to consult the IT team repeatedly. Introducing Indexima DataHub, a revolutionary environment that empowers both operational and functional users to obtain immediate access to their data. Through an innovative fusion of a specialized indexing engine and machine learning capabilities, Indexima enables organizations to streamline and accelerate their analytics processes. Designed for robustness and scalability, this solution allows companies to execute queries on vast amounts of data—potentially up to tens of billions of rows—in mere milliseconds. The Indexima platform facilitates instant analytics on all your data with just a single click. Additionally, thanks to Indexima's new ROI and TCO calculator, you can discover the return on investment for your data platform in just 30 seconds, taking into account infrastructure costs, project deployment duration, and data engineering expenses while enhancing your analytical capabilities. Experience the future of data analytics and unlock unprecedented efficiency in your operations.
API Access
Has API
No
API Access
Has API
No
Integrations
Alibaba Cloud
Yes
Amazon Redshift
No
Amazon Web Services (AWS)
No
Apache Parquet
No
Cloudera
No
Google Cloud BigQuery
No
Hadoop
No
IBM Cognos Analytics
No
IBM Db2
No
JSON
No
Integrations
Alibaba Cloud
No
Amazon Redshift
Yes
Amazon Web Services (AWS)
Yes
Apache Parquet
Yes
Cloudera
Yes
Google Cloud BigQuery
Yes
Hadoop
Yes
IBM Cognos Analytics
Yes
IBM Db2
Yes
JSON
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$3,290 per month
Free Trial
Yes
Free Version
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
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Alibaba Cloud
Founded
2008
Country
China
Website
www.alibabacloud.com/es/product/datahub
Vendor Details
Company Name
Indexima
Country
United States
Website
indexima.com/en/home/
Product Features
Streaming Analytics
Data Enrichment
No
Data Wrangling / Data Prep
No
Multiple Data Source Support
No
Process Automation
No
Real-time Analysis / Reporting
No
Visualization Dashboards
No
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
No
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
No
Templates
No
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No