Average Ratings 0 Ratings
Average Ratings 0 Ratings
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.
Description
Enhance the potential of both structured and unstructured data within your organization by leveraging outstanding features for data integration, quality enhancement, and cleansing. The SAP Data Services software elevates data quality throughout the organization, ensuring that the information management layer of SAP’s Business Technology Platform provides reliable, relevant, and timely data that can lead to improved business results. By transforming your data into a dependable and always accessible resource for insights, you can optimize workflows and boost efficiency significantly. Achieve a holistic understanding of your information by accessing data from various sources and in any size, which helps in uncovering the true value hidden within your data. Enhance decision-making and operational effectiveness by standardizing and matching datasets to minimize duplicates, uncover relationships, and proactively address quality concerns. Additionally, consolidate vital data across on-premises systems, cloud environments, or Big Data platforms using user-friendly tools designed to simplify this process. This comprehensive approach not only streamlines data management but also empowers your organization to make informed strategic choices.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
Yes
Amazon Redshift
Yes
Azure Marketplace
Yes
Better Stack
Yes
DataCore Swarm
Yes
EraSearch
Yes
Google Cloud Platform
No
Google Cloud Storage
Yes
Graphite
Yes
KrakenD
Yes
Integrations
Amazon Web Services (AWS)
Yes
Amazon Redshift
No
Azure Marketplace
No
Better Stack
No
DataCore Swarm
No
EraSearch
No
Google Cloud Platform
Yes
Google Cloud Storage
No
Graphite
No
KrakenD
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
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
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
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Elasticsearch
Founded
2012
Country
United States
Website
www.elastic.co/logstash
Vendor Details
Company Name
SAP
Founded
1972
Country
Germany
Website
www.sap.com/products/data-services.html
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
Product Features
Data Cleansing
Address/ZIP Code Cleaning
No
Charting
No
Data Consolidation / ETL
No
Data Mapping
No
Multi Data Format Support
No
Phone/Email Validation
No
Raw Data Ingestion
No
Sample Testing
No
Validation / Matching / Reconciliation
No
Data Quality
Address Validation
No
Data Deduplication
No
Data Discovery
No
Data Profililng
No
Master Data Management
No
Match & Merge
No
Metadata Management
No
Integration
Dashboard
No
ETL - Extract / Transform / Load
No
Metadata Management
No
Multiple Data Sources
No
Web Services
No