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More customers pick Amazon Redshift than any other cloud data warehouse. Redshift powers analytical workloads for Fortune 500 companies, startups, and everything in between. Companies like Lyft have grown with Redshift from startups to multi-billion dollar enterprises. No other data warehouse makes it as easy to gain n...
This project was last updated September 29, 2022
The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance. Linear scalability and proven fault-tolerance on commodity hardware or cloud infrastructure make it the perfect platform for mission-critical data. Cassandra's support for replicating acro...
This project was last updated September 29, 2022
Apache Druid is an open source distributed data store. Druid’s core design combines ideas from data warehouses, timeseries databases, and search systems to create a high performance real-time analytics database for a broad range of use cases. Druid merges key characteristics of each of the 3 systems into its ingestion ...
This project was last updated September 29, 2022
Use Apache HBase™ when you need random, realtime read/write access to your Big Data. This project's goal is the hosting of very large tables -- billions of rows X millions of columns -- atop clusters of commodity hardware....
This project was last updated September 29, 2022
A Kudu cluster stores tables that look just like tables you're used to from relational (SQL) databases. A table can be as simple as a binary key and value, or as complex as a few hundred different strongly-typed attributes. Just like SQL, every table has a primary key made up of one or more columns. This might be a sin...
This project was last updated September 29, 2022
We created Parquet to make the advantages of compressed, efficient columnar data representation available to any project in the Hadoop ecosystem. Parquet is built from the ground up with complex nested data structures in mind, and uses the record shredding and assembly algorithm described in the Dremel paper. We believ...
This project was last updated September 29, 2022
Pinot is designed to answer OLAP queries with low latency on immutable data. Pluggable indexing technologies - Sorted Index, Bitmap Index, Inverted Index. Joins are currently not supported, but this problem can be overcome by using Trino or PrestoDB for querying. SQL like language that supports selection, aggregation, ...
This project was last updated September 29, 2022
ClickHouse is a free and open-source column-oriented DBMS (database management system) that is specifically designed for online analytical processing (OLAP) workloads. It was developed by Yandex, a Russian web search corporation, to handle petabytes of data and provide real-time analytics. ClickHouse is incredibly fast...
This project was last updated March 11, 2024
Hypertable delivers scalable database capacity at maximum performance to speed up your big data application and reduce your hardware footprint. Hypertable delivers maximum efficiency and superior performance over the competition which translates into major cost savings. A proven scalable design that powers hundreds of ...
This project was last updated September 29, 2022
MariaDB Platform is a complete enterprise open source database solution. It has the versatility to support transactional, analytical and hybrid workloads as well as relational, JSON and hybrid data models. And it has the scalability to grow from standalone databases and data warehouses to fully distributed SQL for exec...
This project was last updated September 29, 2022
Database Management System, Cloud Computing, Data Analytics, Business Intelligence, Data Warehouse 4. Project URL: 5. Project User: • Data engineers and data scientists who need to store and manage large amounts of data • Business analysts and data analysts who need to perform data analysis and generate insights • Co...
This project was last updated December 19, 2023
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