Apache Hive

Apache Hive

Apache Software Foundation
Apache Phoenix

Apache Phoenix

Apache Software Foundation
Java

Java

Oracle
Redis

Redis

Redis Labs

About

The Apache Hive data warehouse software facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage. A command line tool and JDBC driver are provided to connect users to Hive. Apache Hive is an open source project run by volunteers at the Apache Software Foundation. Previously it was a subproject of Apache® Hadoop®, but has now graduated to become a top-level project of its own. We encourage you to learn about the project and contribute your expertise. Traditional SQL queries must be implemented in the MapReduce Java API to execute SQL applications and queries over distributed data. Hive provides the necessary SQL abstraction to integrate SQL-like queries (HiveQL) into the underlying Java without the need to implement queries in the low-level Java API.

About

Apache Phoenix enables OLTP and operational analytics in Hadoop for low-latency applications by combining the best of both worlds. The power of standard SQL and JDBC APIs with full ACID transaction capabilities and the flexibility of late-bound, schema-on-read capabilities from the NoSQL world by leveraging HBase as its backing store. Apache Phoenix is fully integrated with other Hadoop products such as Spark, Hive, Pig, Flume, and Map Reduce. Become the trusted data platform for OLTP and operational analytics for Hadoop through well-defined, industry-standard APIs. Apache Phoenix takes your SQL query, compiles it into a series of HBase scans, and orchestrates the running of those scans to produce regular JDBC result sets. Direct use of the HBase API, along with coprocessors and custom filters, results in performance on the order of milliseconds for small queries, or seconds for tens of millions of rows.

About

The Java™ Programming Language is a general-purpose, concurrent, strongly typed, class-based object-oriented language. It is normally compiled to the bytecode instruction set and binary format defined in the Java Virtual Machine Specification. In the Java programming language, all source code is first written in plain text files ending with the .java extension. Those source files are then compiled into .class files by the javac compiler. A .class file does not contain code that is native to your processor; it instead contains bytecodes — the machine language of the Java Virtual Machine1 (Java VM). The java launcher tool then runs your application with an instance of the Java Virtual Machine.

About

Redis Labs: home of Redis. Redis Enterprise is the best version of Redis. Go beyond cache; try Redis Enterprise free in the cloud using NoSQL & data caching with the world’s fastest in-memory database. Run Redis at scale, enterprise grade resiliency, massive scalability, ease of management, and operational simplicity. DevOps love Redis in the Cloud. Developers can access enhanced data structures, a variety of modules, and rapid innovation with faster time to market. CIOs love the confidence of working with 99.999% uptime best in class security and expert support from the creators of Redis. Implement relational databases, active-active, geo-distribution, built in conflict distribution for simple and complex data types, & reads/writes in multiple geo regions to the same data set. Redis Enterprise offers flexible deployment options, cloud on-prem, & hybrid. Redis Labs: home of Redis. Redis JSON, Redis Java, Python Redis, Redis on Kubernetes & Redis gui best practices.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers and anyone looking for a data warehouse software that facilitates reading, writing, and managing large datasets using SQL

Audience

Anyone searching for a solution to manage their OLTP and operational analytics for Apache Hadoop

Audience

Developers looking for a Programming Language solution

Audience

Companies of all sizes

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 4.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Apache Software Foundation
Founded: 1999
United States
hive.apache.org

Company Information

Apache Software Foundation
phoenix.apache.org

Company Information

Oracle
docs.oracle.com/javase/8/docs/technotes/guides/language/index.html

Company Information

Redis Labs
Founded: 2011
United States
redislabs.com

Alternatives

Apache Drill

Apache Drill

The Apache Software Foundation

Alternatives

Alternatives

Alternatives

Dragonfly

Dragonfly

DragonflyDB
Apache HBase

Apache HBase

The Apache Software Foundation
Apache Trafodion

Apache Trafodion

Apache Software Foundation
Apache Hudi

Apache Hudi

Apache Corporation
Apache Sentry

Apache Sentry

Apache Software Foundation
Apache Spark

Apache Spark

Apache Software Foundation
AsparaDB

AsparaDB

Alibaba

Categories

Categories

Categories

Categories

Database Features

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

NoSQL Database Features

Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management

Integrations

Apache Flume
Bazel
BlinqIO
CodeLogic
Codey
CreativeTime Attendance
Data V
Hostiso
JetBrains Fleet
Jovu
JupyterLab
LT Browser
Logstash
Material Design
NGINX Unit
Observo AI
Pandora FMS
TABEX4
The CodeGround
Zenscrape

Integrations

Apache Flume
Bazel
BlinqIO
CodeLogic
Codey
CreativeTime Attendance
Data V
Hostiso
JetBrains Fleet
Jovu
JupyterLab
LT Browser
Logstash
Material Design
NGINX Unit
Observo AI
Pandora FMS
TABEX4
The CodeGround
Zenscrape

Integrations

Apache Flume
Bazel
BlinqIO
CodeLogic
Codey
CreativeTime Attendance
Data V
Hostiso
JetBrains Fleet
Jovu
JupyterLab
LT Browser
Logstash
Material Design
NGINX Unit
Observo AI
Pandora FMS
TABEX4
The CodeGround
Zenscrape

Integrations

Apache Flume
Bazel
BlinqIO
CodeLogic
Codey
CreativeTime Attendance
Data V
Hostiso
JetBrains Fleet
Jovu
JupyterLab
LT Browser
Logstash
Material Design
NGINX Unit
Observo AI
Pandora FMS
TABEX4
The CodeGround
Zenscrape
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