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Description

Parquet was developed to provide the benefits of efficient, compressed columnar data representation to all projects within the Hadoop ecosystem. Designed with a focus on accommodating complex nested data structures, Parquet employs the record shredding and assembly technique outlined in the Dremel paper, which we consider to be a more effective strategy than merely flattening nested namespaces. This format supports highly efficient compression and encoding methods, and various projects have shown the significant performance improvements that arise from utilizing appropriate compression and encoding strategies for their datasets. Furthermore, Parquet enables the specification of compression schemes at the column level, ensuring its adaptability for future developments in encoding technologies. It is crafted to be accessible for any user, as the Hadoop ecosystem comprises a diverse range of data processing frameworks, and we aim to remain neutral in our support for these different initiatives. Ultimately, our goal is to empower users with a flexible and robust tool that enhances their data management capabilities across various applications.

Description

Tenzir is a specialized data pipeline engine tailored for security teams, streamlining the processes of collecting, transforming, enriching, and routing security data throughout its entire lifecycle. It allows users to efficiently aggregate information from multiple sources, convert unstructured data into structured formats, and adjust it as necessary. By optimizing data volume and lowering costs, Tenzir also supports alignment with standardized schemas such as OCSF, ASIM, and ECS. Additionally, it guarantees compliance through features like data anonymization and enhances data by incorporating context from threats, assets, and vulnerabilities. With capabilities for real-time detection, it stores data in an efficient Parquet format within object storage systems. Users are empowered to quickly search for and retrieve essential data, as well as to reactivate dormant data into operational status. The design of Tenzir emphasizes flexibility, enabling deployment as code and seamless integration into pre-existing workflows, ultimately seeking to cut SIEM expenses while providing comprehensive control over data management. This approach not only enhances the effectiveness of security operations but also fosters a more streamlined workflow for teams dealing with complex security data.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Data Firehose Yes 
Amazon Security Lake No 
Autymate Yes 
Google Cloud Pub/Sub No 
Indexima Data Hub Yes 
Meltano Yes 
Microsoft Defender for Cloud No 
OpenSearch No 
PI.EXCHANGE Yes 
QuerySurge Yes 
Secberus No 
StarfishETL Yes 
Tictable Yes 
Timbr.ai Yes 
Timeplus Yes 
Velociraptor No 
Visplore Yes 
YARA No 
ZeroMQ No 
Zscaler No 

Integrations

Amazon Data Firehose No 
Amazon Security Lake Yes 
Autymate No 
Google Cloud Pub/Sub Yes 
Indexima Data Hub No 
Meltano No 
Microsoft Defender for Cloud Yes 
OpenSearch Yes 
PI.EXCHANGE No 
QuerySurge No 
Secberus Yes 
StarfishETL No 
Tictable No 
Timbr.ai No 
Timeplus No 
Velociraptor Yes 
Visplore No 
YARA Yes 
ZeroMQ Yes 
Zscaler Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
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 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) Yes 
In Person No 

Vendor Details

Company Name

The Apache Software Foundation

Founded

1999

Country

United States

Website

parquet.apache.org

Vendor Details

Company Name

Tenzir

Founded

2017

Country

Germany

Website

tenzir.com

Product Features

Product Features

Cloud Security

Antivirus No 
Application Security No 
Behavioral Analytics No 
Encryption No 
Endpoint Management No 
Incident Management No 
Intrusion Detection System No 
Threat Intelligence No 
Two-Factor Authentication No 
Vulnerability Management 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 No 
Mobile Data Security No 
Monitor Abnormalities No 
Policy Management No 
Secure Data Transport No 
Sensitive Data Compliance No 

Log Management

Archiving No 
Audit Trails No 
Compliance Reporting No 
Consolidation No 
Data Visualization No 
Event Logs No 
Network Logs No 
Remediation No 
Syslogs No 
Thresholds No 
Web Logs No 

Alternatives

Alternatives

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