Search Results for "olap database"
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Showing 47 open source projects for "olap database"
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chDB
chDB is an in-process OLAP SQL Engine
chDB is an in-process SQL OLAP Engine powered by ClickHouse. It is developed by ClickHouse, Inc and open-source contributors. -
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ClickHouse
A fast open-source OLAP database management system
ClickHouse® is a fast, open-source column-oriented database management system that can generate analytical data reports through SQL queries in real time. According to several independent benchmarks, it far exceeds other comparable column-oriented database management systems, working even up to 1000 times faster. It is able to process hundreds of millions to more than a billion rows and tens of gigabytes of data per single server per second. Apart from its blazing speed, ClickHouse is highly... -
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DuckDB
DuckDB is an in-process SQL OLAP Database Management System
DuckDB is a high-performance analytical database system. It is designed to be fast, reliable and easy to use. DuckDB provides a rich SQL dialect, with support far beyond basic SQL. DuckDB supports arbitrary and nested correlated subqueries, window functions, collations, complex types (arrays, structs), and more. For more information on the goals of DuckDB, please refer to the Why DuckDB page on our website. Processing and storing tabular datasets, e.g. from CSV or Parquet files. Interactive... -
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HugeGraph
A graph database that supports more than 100+ billion data
HugeGraph is a convenient, efficient, and adaptable graph database compatible with the Apache TinkerPop3 framework and the Gremlin query language. HugeGraph supports fast import performance in the case of more than 10 billion Vertices and Edges Graph, millisecond-level OLTP query capability, and can be integrated into big data platforms like Hadoop or Spark for OLAP analysis. The main scenarios of HugeGraph include correlation search, fraud detection, and knowledge graph. ... -
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StarRocks
StarRocks is a next-gen sub-second MPP database for full analytics
StarRocks is the next generation of real-time SQL engines for enterprise analytics. Real-time analytics is notoriously difficult. Complex data pipelines and de-normalized tables have always been a necessary evil. Processing any updates or deletes once data arrives has not been possible- until now. StarRocks solves these challenges and makes real-time analytics easy. Get amazing query performance on Star or Snowflake Schemas directly. From canceled orders to updated items, your analytics... -
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Hydra Columnar
Postgres-native columnar storage extension
...It integrates seamlessly with the PostgreSQL ecosystem, allowing users to benefit from columnar compression, vectorized execution, and late materialization without leaving their existing database setup. Hydra enables hybrid row-column storage, making it ideal for OLAP workloads on Postgres. -
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CStore FDW
Columnar storage extension for Postgres
cstore_fdw is a columnar store extension for PostgreSQL built by Citus Data using the Foreign Data Wrapper (FDW) interface. It stores data in a compressed, columnar format that significantly reduces disk I/O for analytical queries. Ideal for read-heavy workloads and time-series data, cstore_fdw enhances Postgres’ ability to serve as a lightweight data warehouse. -
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Mondrian is an OLAP (online analytical processing) engine written in Java. It reads from JDBC data sources, aggregates data in a memory cache, and implements the MDX language and the olap4j and XML/A APIs.
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Adele
Adhoc Data Exploration - Live & Easy
Adele was developed to simplify the daily work with data. Use it as a swiss knife to fill the gap between your work with spreadsheet application like MS Excel and enterprise servers like SAP ERP. Specialized tools like Rapid Miner, KNIME or similiary stuff should not be replaced. But Adele is designed for business people working with spreadsheet applications to analyse their data. There are many technical concepts in an easier way included. For example realtime OLAP, transformations,... -
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Postgres-XL is a PostgreSQL-based scale-out cluster that handles both OLTP write intensive workloads as well as OLAP/BI type of workloads thanks to MPP parallelism. Postgres-XL is fully ACID and supports cluster-wide Multi-version Concurrency Control (MVCC) for global consistency and performance. There are commercial companies such as 2ndQuadrant, who provide support and consulting around Postgres-XL. Please visit http://2ndquadrant.com/en/resources/postgres-xl/ for more details.
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PalOOCa OpenOffice Extension for Palo
palo olap open office calc plugin for data analysis
The PalOOCa Project offers a fast, flexible and intuitive Office-based Business Intelligence solution based on Jedox. It provides an extension for OpenOffice.org Calc which allows both, read and write, access to data from within the Jedox OLAP Server via Calc. If used together with the Open Source Jedox/Palo OLAP Server it completes the Open Source MOLAP-Stack for Business Intelligence. Additionally to Jedox OLAP it is also (read-only) compatible to (almost) all OLAP servers supporting... -
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Tockit tries to build a framework for Conceptual Knowledge Processing (CKP) and Formal Concept Analysis (FCA) in Java, using a component-based approach, XML formats and a three-tier architecture.
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olap4j
Open Java API for OLAP
olap4j is an open Java API for connecting to OLAP servers and writing analytic applications. Code is at https://github.com/olap4j/olap4j. -
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OLAP aggregation engine with MDX support, web interface (slice & dice) and relational database backend. See "Documentation" for more. Presentation: http://cubulus.sourceforge.net/. See online demo courtesy of Webfaction, http://alxtoth.webfactional.com
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LucidDB is a DBMS optimized for business intelligence. Besides architectural innovations such as column-store, it supports many advanced features from SQL:2003, including SQL/MED and user-defined transformations written in Java.
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SIRIUS Ramsetcube 2011 born on the old Ramsetcube project of 2008. It is a powerful and easy to use cube designer aimed to help create and build OLAP schemas. The models can be exported to XML and the data format can be customized for the great OLAP
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Palo ETL Server is a Java based Tool for Extraction, Transformation and Loading of mass data into the Palo OLAP Server. Palo ETL Server is one part of the Palo Suite.
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jdbc4olap is a ready-to-use JDBC 3.0 driver that provides access to OLAP databases. Relying on a relational representation of multidimensional environments, it includes a SQL-MDX converter and uses XMLA to dialog with OLAP servers.
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Google Web Toolkit-based tool for publishing user-friendly OLAP views, reports and dashboards. Uses Mondrian OLAP and a relational database as the back-end.
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"poco" (Spanish & Italian for "little") OLAP provides a web-based, crosstab reporting tool for your datawarehouse. While it's not an OLAP server or full fledged data mining solution, pocOLAP makes your data easy to use and understand ... for free!
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ConDEnSE (Confidential Data Enabled Statistical Exploration) will be a web-based environment for statistical analysis of confidential data from various database sources, based on Plone and R, and using the Jackknife method of confidentiality protection.
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A Flex/java based system for presenting statistics over the net. Based on Mondrian backend. Able to handle large amounts of data, administration facilities not worth shouting about.
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jIntersect is an OLAP like Java algorithm that takes a JDBC ResultSet as input and returns a data structure with all possible intersections, combinations and permutations of the data, pre-summarized at multiple levels for quick access.
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JRubik is a set of tools for navigating and reporting over OLAP Datasources, mainly Mondrian and XMLA servers. This project is based on the components developed by the JPivot project.
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DATAPTURE offers a novel way for creating Database driven PHP sites with a minimun programming. Simplify SQL queries, Intuitive Content Management System (CMS). Session Management. Enhaced XML and JSON data exchange.
