JetBrains Xodus
Apache Hive
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| JetBrains Xodus | Apache Hive | |
|---|---|---|
| - | 14 | |
| 1,160 | 5,326 | |
| 1.1% | 1.2% | |
| 9.5 | 9.6 | |
| 5 days ago | 4 days ago | |
| Java | Java | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
JetBrains Xodus
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Tracking mentions began in Dec 2020.
Apache Hive
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Apache Iceberg as storage for on-premise data store (cluster)
Trino or Hive for SQL querying. Get Trino/Hive to talk to Nessie.
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In One Minute : Hadoop
Hive, A data warehouse infrastructure that provides data summarization and ad hoc querying.
- Visionary French entrepreneur, David Gurle, launches new venture – Hive
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DeWitt Clause, or Can You Benchmark %DATABASE% and Get Away With It
Apache Drill, Druid, Flink, Hive, Kafka, Spark
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Apache Spark, Hive, and Spring Boot — Testing Guide
In this article, I'm showing you how to create a Spring Boot app that loads data from Apache Hive via Apache Spark to the Aerospike Database. More than that, I'm giving you a recipe for writing integration tests for such scenarios that can be run either locally or during the CI pipeline execution. The code examples are taken from this repository.
- Apache Hive in the vein!
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Jinja2 not formatting my text correctly. Any advice?
ListItem(name='Apache Hive', website='https://hive.apache.org/', category='Interactive Query', short_description='Apache Hive is a data warehouse software project built on top of Apache Hadoop for providing data query and analysis. Hive gives an SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop.'),
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Understanding SQL Dialects
Apache Hive takes in a specific SQL dialect and converts it to map-reduce.
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The Data Engineer Roadmap 🗺
Apache Hive
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Open Source SQL Parsers
Apache Calcite is a popular parser/optimizer that is used in popular databases and query engines like Apache Hive, BlazingSQL and many others.
What are some alternatives?
MapDB - MapDB provides concurrent Maps, Sets and Queues backed by disk storage or off-heap-memory. It is a fast and easy to use embedded Java database engine.
superset - Apache Superset is a Data Visualization and Data Exploration Platform
H2 - H2 is an embeddable RDBMS written in Java.
ObjectBox Java (Kotlin, Android) - Java and Android Database - fast and lightweight without any ORM
Chronicle Map - Replicate your Key Value Store across your network, with consistency, persistance and performance.
HikariCP - 光 HikariCP・A solid, high-performance, JDBC connection pool at last.
Spring Data JPA - Simplifies the development of creating a JPA-based data access layer.
Apache Phoenix - Apache Phoenix
Realm - Realm is a mobile database: a replacement for SQLite & ORMs
Flyway - Flyway by Redgate • Database Migrations Made Easy.
OrientDB - OrientDB is the most versatile DBMS supporting Graph, Document, Reactive, Full-Text and Geospatial models in one Multi-Model product. OrientDB can run distributed (Multi-Master), supports SQL, ACID Transactions, Full-Text indexing and Reactive Queries.
Presto - The official home of the Presto distributed SQL query engine for big data