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features
design
support

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Write a Review

Description

Axoflow is a security data curation pipeline designed to collect, process, and route security data from various sources to multiple destinations. It is used by security operations centers, managed security service providers, and enterprise security teams to manage large volumes of security data across diverse environments. The platform prepares and optimizes security data for ingestion into systems such as Splunk, Google SecOps, and Microsoft Sentinel. The platform uses an AI-augmented decision tree to classify and normalize security data. It collects data from sources such as syslog, Windows systems, cloud services, Kubernetes environments, and applications through connectors that require no maintenance. Pre-processing operations include parsing, deduplication, normalization, anonymization, and enrichment with geo-IP and threat intelligence data. Integrated storage solutions, AxoLake and AxoStore, provide tiered data lake capabilities and federated search functionality. Processed data is routed to destinations such as SIEMs, data lakes, message queues, and archive storage using smart policy-based routing. Axoflow is built on technology developed by the creators of syslog-ng and operates at large scales in enterprise environments. It offers visibility into data pipelines with detailed metrics on performance and data flow. The platform supports both cloud-native and on-premises deployments and is compatible with technologies such as syslog and OpenTelemetry. It provides observability down to the syslog layer and centralized fleet management across distributed collection points.

Description

If you're looking to establish a governed delta lake, create a data warehouse, or transition from a conventional database to a contemporary cloud data solution, Lyftrondata has you covered. You can effortlessly create and oversee all your data workloads within a single platform, automating the construction of your pipeline and warehouse. Instantly analyze your data using ANSI SQL and business intelligence or machine learning tools, and easily share your findings without the need for custom coding. This functionality enhances the efficiency of your data teams and accelerates the realization of value. You can define, categorize, and locate all data sets in one centralized location, enabling seamless sharing with peers without the complexity of coding, thus fostering insightful data-driven decisions. This capability is particularly advantageous for organizations wishing to store their data once, share it with various experts, and leverage it repeatedly for both current and future needs. In addition, you can define datasets, execute SQL transformations, or migrate your existing SQL data processing workflows to any cloud data warehouse of your choice, ensuring flexibility and scalability in your data management strategy.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Acumatica Cloud ERP No 
Amazon No 
Azure API Management No 
Bing No 
ClickTime No 
Cosmos No 
DigitalOcean No 
Docusign No 
Drip No 
Google Sheets No 
HyperSQL DataBase No 
IBM Db2 No 
Microsoft Exchange No 
Microsoft Teams No 
NetSuite No 
Pinterest No 
ProdPad No 
Tableau No 
Vertica No 
WorkflowMax No 

Integrations

Acumatica Cloud ERP Yes 
Amazon Yes 
Azure API Management Yes 
Bing Yes 
ClickTime Yes 
Cosmos Yes 
DigitalOcean Yes 
Docusign Yes 
Drip Yes 
Google Sheets Yes 
HyperSQL DataBase Yes 
IBM Db2 Yes 
Microsoft Exchange Yes 
Microsoft Teams Yes 
NetSuite Yes 
Pinterest Yes 
ProdPad Yes 
Tableau Yes 
Vertica Yes 
WorkflowMax Yes 

Pricing Details

Let us calculate your price, which is based on:
Number of devices
Amount of data per day
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
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 Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Axoflow

Founded

2022

Country

United States

Website

axoflow.com

Vendor Details

Company Name

Lyftrondata

Founded

2017

Country

United States

Website

lyftron.com

Product Features

Cybersecurity

AI / Machine Learning Yes 
Behavioral Analytics No 
Endpoint Management No 
IOC Verification No 
Incident Management No 
Tokenization No 
Vulnerability Scanning No 
Whitelisting / Blacklisting No 

Data Security

Alerts / Notifications No 
Antivirus/Malware Detection No 
At-Risk Analysis No 
Audits No 
Data Center Security No 
Data Classification No 
Data Discovery No 
Data Loss Prevention No 
Data Masking No 
Data-Centric Security No 
Database Security No 
Encryption No 
Identity / Access Management No 
Logging / Reporting Yes 
Mobile Data Security No 
Monitor Abnormalities No 
Policy Management No 
Secure Data Transport No 
Sensitive Data Compliance No 

Product Features

Data Preparation

Collaboration Tools No 
Data Access No 
Data Blending No 
Data Cleansing No 
Data Governance No 
Data Mashup No 
Data Modeling No 
Data Transformation No 
Machine Learning No 
Visual User Interface No 

Data Replication

Asynchronous Data Replication No 
Automated Data Retention No 
Continuous Replication No 
Cross-Platform Replication No 
Dashboard No 
Instant Failover No 
Orchestration No 
Remote Database Replication No 
Reporting / Analytics No 
Simulation / Testing No 
Synchronous Data Replication No 

Data Warehouse

Ad hoc Query No 
Analytics No 
Data Integration No 
Data Migration No 
Data Quality Control No 
ETL - Extract / Transfer / Load No 
In-Memory Processing No 
Match & Merge No 

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 

Alternatives

Alternatives