Apache Hive

Apache Hive

Apache Software Foundation
Apache Spark

Apache Spark

Apache Software Foundation
+

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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 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

LlamaIndex is a “data framework” to help you build LLM apps. Connect semi-structured data from API's like Slack, Salesforce, Notion, etc. LlamaIndex is a simple, flexible data framework for connecting custom data sources to large language models. LlamaIndex provides the key tools to augment your LLM applications with data. Connect your existing data sources and data formats (API's, PDF's, documents, SQL, etc.) to use with a large language model application. Store and index your data for different use cases. Integrate with downstream vector store and database providers. LlamaIndex provides a query interface that accepts any input prompt over your data and returns a knowledge-augmented response. Connect unstructured sources such as documents, raw text files, PDF's, videos, images, etc. Easily integrate structured data sources from Excel, SQL, etc. Provides ways to structure your data (indices, graphs) so that this data can be easily used with LLMs.

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

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

Audience

Enterprises and developers in need of a solution to connect custom data sources to large language models

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

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
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

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
Founded: 1999
United States
hive.apache.org

Company Information

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

Company Information

LlamaIndex
United States
www.llamaindex.ai/

Alternatives

Apache Drill

Apache Drill

The Apache Software Foundation

Alternatives

dbt

dbt

dbt Labs

Alternatives

LM-Kit.NET

LM-Kit.NET

LM-Kit
Apache HBase

Apache HBase

The Apache Software Foundation
AWS Glue

AWS Glue

Amazon
Apache Hudi

Apache Hudi

Apache Corporation
Flowise

Flowise

Flowise AI
Apache Spark

Apache Spark

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

SQL
Algonomy
Aqua Data Studio
DataHub
IBM Data Refinery
IBM SPSS Modeler
Langfuse
MLflow
NLSQL
Notion
RunCode
ScrapeGraphAI
Secoda
Speedb
StarfishETL
VeloDB
Vertex AI Notebooks
definity
lakeFS
matchit

Integrations

SQL
Algonomy
Aqua Data Studio
DataHub
IBM Data Refinery
IBM SPSS Modeler
Langfuse
MLflow
NLSQL
Notion
RunCode
ScrapeGraphAI
Secoda
Speedb
StarfishETL
VeloDB
Vertex AI Notebooks
definity
lakeFS
matchit

Integrations

SQL
Algonomy
Aqua Data Studio
DataHub
IBM Data Refinery
IBM SPSS Modeler
Langfuse
MLflow
NLSQL
Notion
RunCode
ScrapeGraphAI
Secoda
Speedb
StarfishETL
VeloDB
Vertex AI Notebooks
definity
lakeFS
matchit
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