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Average Ratings 0 Ratings
Description
The Apache Lucene™ initiative is dedicated to creating open-source search technology. This initiative not only offers a fundamental library known as Lucene™ core but also includes PyLucene, which serves as a Python interface for Lucene. Lucene Core functions as a Java library that delivers robust features for indexing and searching, including capabilities for spellchecking, hit highlighting, and sophisticated analysis/tokenization. The PyLucene project enhances accessibility by allowing developers to utilize Lucene Core through Python. Backing this initiative is the Apache Software Foundation, which supports a variety of open-source software endeavors. Notably, Apache Lucene is made available under a license that is favorable for commercial use. It has established itself as a benchmark for search and indexing efficiency. Furthermore, Lucene is the foundational search engine for both Apache Solr™ and Elasticsearch™, which are widely used in various applications. From mobile platforms to major websites like Twitter, Apple, and Wikipedia, our core algorithms, together with the Solr search server, enable a multitude of applications globally. Ultimately, the objective of Apache Lucene is to deliver exceptional search capabilities that meet the needs of diverse users. Its continuous development reflects the commitment to innovation in search technology.
Description
Apache Spark™ serves as a comprehensive analytics platform designed for large-scale data processing. It delivers exceptional performance for both batch and streaming data by employing an advanced Directed Acyclic Graph (DAG) scheduler, a sophisticated query optimizer, and a robust execution engine. With over 80 high-level operators available, Spark simplifies the development of parallel applications. Additionally, it supports interactive use through various shells including Scala, Python, R, and SQL. Spark supports a rich ecosystem of libraries such as SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming, allowing for seamless integration within a single application. It is compatible with various environments, including Hadoop, Apache Mesos, Kubernetes, and standalone setups, as well as cloud deployments. Furthermore, Spark can connect to a multitude of data sources, enabling access to data stored in systems like HDFS, Alluxio, Apache Cassandra, Apache HBase, and Apache Hive, among many others. This versatility makes Spark an invaluable tool for organizations looking to harness the power of large-scale data analytics.
API Access
Has API
No
API Access
Has API
No
Integrations
Apache Usergrid
Yes
Azure HDInsight
No
Baidu Palo
No
DQOps
No
ELCA Smart Data Lake Builder
No
Gable
No
Google Cloud Lakehouse
No
Mage Platform
No
Medical LLM
No
Prodea
No
Integrations
Apache Usergrid
No
Azure HDInsight
Yes
Baidu Palo
Yes
DQOps
Yes
ELCA Smart Data Lake Builder
Yes
Gable
Yes
Google Cloud Lakehouse
Yes
Mage Platform
Yes
Medical LLM
Yes
Prodea
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Apache Software Foundation
Founded
1999
Country
United States
Website
lucene.apache.org
Vendor Details
Company Name
Apache Software Foundation
Founded
1999
Country
United States
Website
spark.apache.org
Product Features
Enterprise Search
AI / Machine Learning
No
Faceted Search / Filtering
No
Full Text Search
No
Fuzzy Search
No
Indexing
No
Text Analytics
No
eDiscovery
No
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
No
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
No
Templates
No
Data Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
Streaming Analytics
Data Enrichment
Yes
Data Wrangling / Data Prep
Yes
Multiple Data Source Support
Yes
Process Automation
Yes
Real-time Analysis / Reporting
No
Visualization Dashboards
No