Apache Phoenix

Apache Phoenix

Apache Software Foundation
Apache Spark

Apache Spark

Apache Software Foundation
python-sql

python-sql

Python Software Foundation
+

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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

Apache Spark™ is a unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python, R, and SQL shells. Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application. Spark runs on Hadoop, Apache Mesos, Kubernetes, standalone, or in the cloud. It can access diverse data sources. You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN, on Mesos, or on Kubernetes. Access data in HDFS, Alluxio, Apache Cassandra, Apache HBase, Apache Hive, and hundreds of other data sources.

About

python-sql is a library to write SQL queries in a pythonic way. Simple selects, select with where condition. Select with join or select with multiple joins. Select with group_by and select with output name. Select with order_by, or select with sub-select. Select on other schema and insert query with default values. Insert query with values, and insert query with query. Update query with values. Update query with where condition. Update query with from the list. Delete query with where condition, and delete query with sub-query. Provides limit style, qmark style, and numeric style.

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

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

Audience

Organizations that want a unified analytics engine for large-scale data processing

Audience

Developers searching for a solution offering a library to write SQL queries

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

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

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

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

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

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

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
phoenix.apache.org

Company Information

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

Company Information

Python Software Foundation
United States
pypi.org/project/python-sql/

Alternatives

Alternatives

dbt

dbt

dbt Labs

Alternatives

Apache Trafodion

Apache Trafodion

Apache Software Foundation
AWS Glue

AWS Glue

Amazon
Apache Spark

Apache Spark

Apache Software Foundation
NGS-IQ

NGS-IQ

New Generation Software
MLlib

MLlib

Apache Software Foundation

Categories

Categories

Categories

Streaming Analytics Features

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

Integrations

Alibaba Log Service
Amundsen
Apache Iceberg
Archon Data Store
Baidu Palo
Kubernetes
Mage Dynamic Data Masking
NVIDIA Magnum IO
Pepperdata
Progress DataDirect
RazorThink
SQL
Stackable
Sync
TeamStation
Timbr.ai
Tonic Ephemeral
Vaultspeed
ZenML

Integrations

Alibaba Log Service
Amundsen
Apache Iceberg
Archon Data Store
Baidu Palo
Kubernetes
Mage Dynamic Data Masking
NVIDIA Magnum IO
Pepperdata
Progress DataDirect
RazorThink
SQL
Stackable
Sync
TeamStation
Timbr.ai
Tonic Ephemeral
Vaultspeed
ZenML

Integrations

Alibaba Log Service
Amundsen
Apache Iceberg
Archon Data Store
Baidu Palo
Kubernetes
Mage Dynamic Data Masking
NVIDIA Magnum IO
Pepperdata
Progress DataDirect
RazorThink
SQL
Stackable
Sync
TeamStation
Timbr.ai
Tonic Ephemeral
Vaultspeed
ZenML
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