AES
Aerospike
Azure Cloud Partner
AWS Cloud Partner
Data Management and Analytics
Aerospike Database is a flash memory and in-memory open source distributed key value NoSQL database management system.
ABY
Airbyte
Azure Cloud Partner
AWS Cloud Partner
Data Management and Analytics
Airbyte is an open-source data integration engine that helps you consolidate your data in your data warehouses, lakes and databases.
KHQ
AKHQ
Data Management and Analytics
AKHQ is an open-source web interface for managing and monitoring Apache Kafka clusters, offering an easy way to view topics, consumer groups, and broker health.
ARF
Apache Airflow
Azure Cloud Partner
AWS Cloud Partner
Oracle Cloud Partner
Data Management and Analytics
The Apache Airflow scheduler executes your tasks on an array of workers while following the specified dependencies.
CAS
Apache Cassandra
Azure Cloud Partner
AWS Cloud Partner
Data Management and Analytics
Apache Cassandra is an open source NoSQL distributed database.
ADR
Apache Druid
Azure Cloud Partner
AWS Cloud Partner
Data Management and Analytics
Apache Druid is a fast, scalable analytics database for real-time data and interactive queries, with strong fault tolerance and high availability.
AFL
Apache Flink
Azure Cloud Partner
AWS Cloud Partner
Data Management and Analytics
Apache Flink is a stream processing framework for scalable, real-time data processing.
AHD
Apache Hadoop
Data Management and Analytics
Apache Hadoop is an open-source distributed processing framework that is used to process and analyze large datasets. It is based on the MapReduce programming model and can be deployed on clusters of commodity hardware.
MAP
Apache Hadoop MapReduce
Data Management and Analytics
The Apache Hadoop MapReduce platform enables distributed data processing across large-scale clusters by dividing workloads into map and reduce tasks, delivering reliable and scalable batch data computation.
YAR
Apache Hadoop YARN
Data Management and Analytics
The Apache Hadoop YARN platform enables efficient resource management and job scheduling across Hadoop clusters, serving as the architectural center for scaling and executing distributed data processing applications.