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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

IBM Db2 Event Store is a cloud-native database system specifically engineered to manage vast quantities of structured data formatted in Apache Parquet. Its design is focused on optimizing event-driven data processing and analysis, enabling the system to capture, evaluate, and retain over 250 billion events daily. This high-performance data repository is both adaptable and scalable, allowing it to respond swiftly to evolving business demands. Utilizing the Db2 Event Store service, users can establish these data repositories within their Cloud Pak for Data clusters, facilitating effective data governance and enabling comprehensive analysis. The system is capable of rapidly ingesting substantial volumes of streaming data, processing up to one million inserts per second per node, which is essential for real-time analytics that incorporate machine learning capabilities. Furthermore, it allows for the real-time analysis of data from various medical devices, ultimately leading to improved health outcomes for patients, while simultaneously offering cost-efficiency in data storage management. Such features make IBM Db2 Event Store a powerful tool for organizations looking to leverage data-driven insights effectively.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Data Firehose Yes 
Amazon SageMaker Data Wrangler Yes 
Arroyo Yes 
Autymate Yes 
Blotout Yes 
CSViewer Yes 
Ficstar Yes 
Gable Yes 
IBM Cloud Pak for Data No 
IBM Db2 Event Store Yes 
Indexima Data Hub Yes 
MLJAR Studio Yes 
Mage Sensitive Data Discovery Yes 
PuppyGraph Yes 
SDF Yes 
SSIS Integration Toolkit Yes 
Tad Yes 
Tenzir Yes 
Tictable Yes 
e6data Yes 

Integrations

Amazon Data Firehose No 
Amazon SageMaker Data Wrangler No 
Arroyo No 
Autymate No 
Blotout No 
CSViewer No 
Ficstar No 
Gable No 
IBM Cloud Pak for Data Yes 
IBM Db2 Event Store No 
Indexima Data Hub No 
MLJAR Studio No 
Mage Sensitive Data Discovery No 
PuppyGraph No 
SDF No 
SSIS Integration Toolkit No 
Tad No 
Tenzir No 
Tictable No 
e6data No 

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 Yes 
Live Rep (24/7) Yes 
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) Yes 
In Person Yes 

Vendor Details

Company Name

The Apache Software Foundation

Founded

1999

Country

United States

Website

parquet.apache.org

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/docs/en/cloud-paks/cp-data/3.5.0

Product Features

Product Features

Database

Backup and Recovery No 
Creation / Development No 
Data Migration No 
Data Replication No 
Data Search No 
Data Security No 
Database Conversion No 
Mobile Access No 
Monitoring No 
NOSQL No 
Performance Analysis No 
Queries No 
Relational Interface No 
Virtualization No 

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