Apache Hive is a distributed data warehouse system for scalable analytics, letting you read, write, and manage big data using SQL on various storage systems.
Apache Hive is a powerful open-source system designed for analyzing and managing huge amounts of data. Built on top of Apache Hadoop, it lets you use familiar SQL queries to read, write, and organize data across different storage solutions like S3, HDFS, and more.
With Hive, you can handle petabytes of information efficiently, thanks to its distributed and fault-tolerant architecture. Its central metastore makes it easy to keep track of data and metadata, supporting data-driven decision-making for organizations of any size.
Whether you're building a data lake or need a robust warehouse for business analytics, Hive provides the tools and flexibility you need. The website offers extensive documentation, community resources, and guides to help you get started quickly.
Discover websites similar to Hive.apache.org. Optimized for ultra-fast loading.
Apache Druid is a high-performance analytics database for fast, real-time querying of streaming and batch data at any scale.
Query and analyze data from Hadoop, NoSQL, and cloud storage using familiar SQL—no schema setup or data loading required.
MonetDB is a high-performance database system designed for fast analytics and data management using standard SQL. Open source and easy to use.
Apache Phoenix lets you run fast SQL queries and manage data directly on Hadoop, making it easy to analyze and update big datasets in real time.
DuckDB is a fast, open source SQL database system for analyzing and transforming data directly on your device, with easy installation and rich features.
Apache Accumulo lets you store, manage, and analyze large data sets across clusters using scalable, open-source technology based on Hadoop and ZooKeeper.
Apache Flink lets you process and analyze data streams in real time, offering scalable, stateful computations for data-driven applications.
Apache Cassandra is an open source NoSQL database that helps you manage massive amounts of data reliably and quickly across clouds and on-premises.
Apache ShardingSphere is an open-source distributed SQL engine for data sharding, scaling, and encryption across any database system.
Infinispan is a distributed in-memory database that lets you store and access key/value data quickly across different systems and programming languages.
TiKV is an open-source, scalable key-value database for building reliable, low-latency applications with cloud-native and distributed features.
OpenRefine lets you clean, transform, and organize messy data for free. Easily format, enrich, and prepare datasets using this open source tool.
Tidyverse offers a collection of R packages for data science, making data analysis, visualization, and manipulation in R simpler and more consistent.
Apache Pinot is an open source platform for real-time data analytics, letting you quickly analyze and visualize large datasets for instant insights.
Analyze life science data online with a collaborative platform designed for research and community-driven workflows in bioinformatics and genomics.
Apache Pig lets you analyze large data sets using a simple high-level language, making it easier to process and manage big data efficiently.
Apache Arrow offers a universal columnar data format and tools for fast, multi-language data analytics and seamless data interchange between systems.
dplyr offers tools and clear documentation for fast, consistent data manipulation in R, making it easy to work with data frames in memory or remotely.
Apache Zeppelin is a web-based notebook for interactive data analytics, letting you create collaborative documents using SQL, Scala, Python, R, and more.
Explore and visualize multi-dimensional data with interactive scatter plots, histograms, and images using glue's linked-data analysis tools.
Explore pandas, the open source Python library for fast, flexible data analysis and manipulation. Get started with guides, docs, and a helpful community.
Apache Spark is an open-source engine for large-scale data analytics, supporting data engineering, science, and machine learning in multiple languages.
Open-source tool for analyzing and visualizing data across sciences and engineering, supporting everything from large-scale simulations to desktop use.
Manage and analyze massive multidimensional data cubes for science and research with flexible, scalable tools supporting open standards.
GDELT monitors global news in 100+ languages, analyzing events, people, and trends worldwide. Access open data and insights on how our world unfolds.
Explore and visualize your data easily with Apache Superset, an open-source platform for creating powerful charts and dashboards—no coding required.
Apache Kylin is an open-source platform for fast, scalable data analytics with high concurrency, offering intelligent OLAP solutions for big data.
Arvados is an open source platform for managing, analyzing, and sharing large-scale genomic and biomedical data for research and collaboration.
RQDA is a free, open-source R package for qualitative data analysis, helping you code, organize, and examine textual data on Windows, Linux, or Mac.
Galaxy is a community-driven data analysis platform offering tools, workflows, and free tutorials for researchers, scientists, and learners worldwide.
Actian offers an AI-powered data intelligence platform to help businesses manage, integrate, and analyze data for better decision-making and control.
ClickHouse is a fast, open-source database for real-time analytics and reporting using SQL, ideal for business intelligence, ML, and big data tasks.
StarRocks is an open-source database for fast, real-time analytics using SQL, designed to help businesses handle large-scale data easily and efficiently.
Datomic lets you build flexible, distributed systems that store and query all your data history, on your own infrastructure or in the cloud.
ScyllaDB offers a fast, scalable NoSQL database for data-intensive apps, delivering high performance and low latency for businesses and developers.
SingleStore is a real-time data platform for building intelligent apps, enabling fast analytics, data processing, and AI on large-scale datasets.
KX offers a high-performance vector database and analytics platform for real-time data analysis, helping organizations make faster, data-driven decisions.
CrateDB offers a real-time data platform for fast analytics, powerful search, and AI integration, using SQL to handle diverse data types with ease.
Alteryx offers a unified cloud platform for analytics automation, making it easy to prepare, analyze, and visualize AI-ready data—no coding skills needed.
Blazegraph is a high-performance graph database supporting RDF/SPARQL APIs, designed for complex data analysis in commercial and scientific fields.
Discover tools and services similar to hive.apache.org
Explore related tools and services in these categories