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Average Ratings 0 Ratings

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features
design
support

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Write a Review

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

Centralize, transform, and store your data seamlessly. Logstash serves as a free and open-source data processing pipeline on the server side, capable of ingesting data from numerous sources, transforming it, and then directing it to your preferred storage solution. It efficiently handles the ingestion, transformation, and delivery of data, accommodating various formats and levels of complexity. Utilize grok to extract structure from unstructured data, interpret geographic coordinates from IP addresses, and manage sensitive information by anonymizing or excluding specific fields to simplify processing. Data is frequently dispersed across multiple systems and formats, creating silos that can hinder analysis. Logstash accommodates a wide range of inputs, enabling the simultaneous collection of events from diverse and common sources. Effortlessly collect data from logs, metrics, web applications, data repositories, and a variety of AWS services, all in a continuous streaming manner. With its robust capabilities, Logstash empowers organizations to unify their data landscape effectively.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AiOpsX No 
Amazon Kinesis No 
Axonius No 
Better Stack No 
Dash0 No 
DataCore Swarm No 
Deep.BI No 
Elasticsearch No 
EraSearch No 
Graphite No 
InsightCat No 
NXLog No 
Observo AI No 
REDXRAY No 
SQLite No 
Salesforce No 
Sematext Cloud No 
Suricata No 
X (Twitter) No 

Integrations

AiOpsX Yes 
Amazon Kinesis Yes 
Axonius Yes 
Better Stack Yes 
Dash0 Yes 
DataCore Swarm Yes 
Deep.BI Yes 
Elasticsearch Yes 
EraSearch Yes 
Graphite Yes 
InsightCat Yes 
NXLog Yes 
Observo AI Yes 
REDXRAY Yes 
SQLite Yes 
Salesforce Yes 
Sematext Cloud Yes 
Suricata Yes 
X (Twitter) Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
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 No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
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) No 
In Person No 

Types of Training

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

Vendor Details

Company Name

Alibaba Cloud

Founded

2008

Country

China

Website

www.alibabacloud.com/es/product/datahub

Vendor Details

Company Name

Elasticsearch

Founded

2012

Country

United States

Website

www.elastic.co/logstash

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

ETL

Data Analysis No 
Data Filtering No 
Data Quality Control No 
Job Scheduling No 
Match & Merge No 
Metadata Management No 
Non-Relational Transformations No 
Version Control No 

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