Trino is a highly parallel and distributed query engine, that is built from the ground up for efficient, low latency analytics. It is an ANSI SQL compliant query engine, that works with BI tools such as R, Tableau, Power BI, Superset and many others. It helps to natively query data in Hadoop, S3, Cassandra, MySQL, and many others, without the need for complex, slow, and error-prone processes for copying the data. 
 
Access data from multiple systems within a single query. For example, join historic log data stored in an S3 object storage with customer data stored in a MySQL relational database.

Trino is a highly parallel and distributed query engine, that is built from the ground up for efficient, low latency analytics. It is an ANSI SQL compliant query engine, that works with BI tools such as R, Tableau, Power BI, Superset and many others. It helps to natively query data in Hadoop, S3, Cassandra, MySQL, and many others, without the need for complex, slow, and error-prone processes for copying the data. 

Trino - A query engine that runs at ludicrous speed

Avro is a data serialization system. Avro provides: Rich data structures. A compact, fast, binary data format. A container file, to store persistent data. Remote procedure call (RPC). Simple integration with dynamic languages. Code generation is not required to read or write data files nor to use or implement RPC protocols. Code generation as an optional optimization, only worth implementing for statically typed languages.

Avro is a data serialization system. It is a subproject of Apache Hadoop.

Avro

Gaffer is a graph database framework. It allows the storage of very large graphs containing rich properties on the nodes and edges. Several storage options are available, including Accumulo, Hbase and Parquet. It is designed to be as flexible, scalable and extensible as possible, allowing for rapid prototyping and transition to production systems.

Gaffer - A large-scale entity and relation database supporting aggregation of properties

Alluxio (formerly known as Tachyon) is a virtual distributed storage system. It bridges the gap between computation frameworks and storage systems, enabling computation applications to connect to numerous storage systems through a common interface.
 
Alluxio enables data orchestration for compute in any cloud. It unifies data silos on-premise and across any cloud to give you the data locality, accessibility, and elasticity needed to reduce the complexities associated with orchestrating data for today’s big data and AI/ML workloads.

Alluxio (formerly known as Tachyon) is a virtual distributed storage system. It bridges the gap between computation frameworks and storage systems, enabling computation applications to connect to numerous storage systems through a common interface.

Alluxio - Data orchestration for analytics and machine learning in the cloud

Azkaban is a batch workflow job scheduler created at LinkedIn to run Hadoop jobs. Azkaban resolves the ordering through job dependencies and provides an easy to use web user interface to maintain and track your workflows. Azkaban was designed primarily with usability in mind. It has been running at LinkedIn for several years, and drives many of their Hadoop and data warehouse processes.
 
Its features include: 
<ul><li><li>Compatible with any version of Hadoop</li><li>Easy to use web UI</li><li>Simple web and http workflow uploads</li><li>Project workspaces</li><li>Scheduling of workflows</li><li>Modular and pluginable</li><li>Authentication and Authorization</li><li>Tracking of user actions</li><li>Email alerts on failure and successes</li><li>SLA alerting and auto killing</li><li>Retrying of failed jobs</li></li></ul>

Azkaban is a batch workflow job scheduler created at LinkedIn to run Hadoop jobs. Azkaban resolves the ordering through job dependencies and provides an easy to use web user interface to maintain and track your workflows. Azkaban was designed primarily with usability in mind. It has been running at LinkedIn for several years, and drives many of their Hadoop and data warehouse processes.

Azkaban - Batch workflow job scheduler created at LinkedIn to run Hadoop jobs

Apache Tez is an extensible framework for building high performance batch and interactive data processing applications, coordinated by YARN in Apache Hadoop. Tez improves the MapReduce paradigm by dramatically improving its speed, while maintaining MapReduce’s ability to scale to petabytes of data. Important Hadoop ecosystem projects like Apache Hive and Apache Pig use Apache Tez, as do a growing number of third party data access applications developed for the broader Hadoop ecosystem.
 
Tez can execute complex directed acyclic graphs of general data processing tasks. In many ways it can be thought of as a more flexible and powerful successor of the map-reduce framework. By allowing projects like Apache Hive and Apache Pig to run a complex DAG of tasks, Tez can be used to process data, that earlier took multiple MR jobs, now it can be done in a single Tez job.

Apache Tez is an extensible framework for building high performance batch and interactive data processing applications, coordinated by YARN in Apache Hadoop. Tez improves the MapReduce paradigm by dramatically improving its speed, while maintaining MapReduce’s ability to scale to petabytes of data. Important Hadoop ecosystem projects like Apache Hive and Apache Pig use Apache Tez, as do a growing number of third party data access applications developed for the broader Hadoop ecosystem.

Apache Tez - A Framework for YARN-based, Data Processing Applications In Hadoop

Cascading is a Data Processing API, Process Planner, and Process Scheduler used for defining and executing complex, scale-free, and fault tolerant data processing workflows on an Apache Hadoop cluster. It is a thin Java library and API that sits on top of Hadoop's MapReduce layer and is executed from the command line like any other Hadoop application.

Cascading - Data Processing Workflows on Hadoop

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Trino - A query engine that runs at ludicrous speed

Avro

Gaffer - A large-scale entity and relation database supporting aggregation of properties

Alluxio - Data orchestration for analytics and machine learning in the cloud

Azkaban - Batch workflow job scheduler created at LinkedIn to run Hadoop jobs

Apache Tez - A Framework for YARN-based, Data Processing Applications In Hadoop

Cascading - Data Processing Workflows on Hadoop

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Trino - A query engine that runs at ludicrous speed

Avro

Gaffer - A large-scale entity and relation database supporting aggregation of properties

Alluxio - Data orchestration for analytics and machine learning in the cloud

Azkaban - Batch workflow job scheduler created at LinkedIn to run Hadoop jobs

Apache Tez - A Framework for YARN-based, Data Processing Applications In Hadoop

Cascading - Data Processing Workflows on Hadoop

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