Search Results for "olap"
Sort By:
Showing 69 open source projects for "olap"
View related business solutions-
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
1
Pinot
Apache Pinot - A realtime distributed OLAP datastore
Realtime distributed OLAP datastore, designed to answer OLAP queries with low latency. Pinot is designed to answer OLAP queries with low latency on immutable data and mutable data(Upsert Support) Pluggable indexing technologies - Sorted Index, Bitmap Index, Inverted Index, StarTree Index, Bloom Filter, Range Index, Text Search Index(Lucence/FST), Json Index, Geospatial Index. -
2
HugeGraph
A graph database that supports more than 100+ billion data
...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. Not only supports Gremlin graph query language and RESTful API but also provides commonly used graph algorithm APIs. To help users easily implement various queries and analyses, HugeGraph has a full range of accessory tools, such as supporting distributed storage, data replication, scaling horizontally, and supports many built-in backends of storage engines. -
3
DataEase
Data visualization analysis tool
...Supports rich chart types (Apache ECharts / AntV), supports drag-and-drop method to quickly create dashboards. Support direct connection mode, local mode (based on Apache Doris / Kettle implementation). Support various data sources such as data warehouse/data lake, OLAP database, OLTP database, Excel data file, API, etc. Open source and open: zero threshold, quick access and installation online; quick access to user feedback, new versions released monthly. pport multiple data sharing methods to ensure data security. -
4
Pentaho
Pentaho offers comprehensive data integration and analytics platform.
Pentaho couples data integration with business analytics in a modern platform to easily access, visualize and explore data that impacts business results. Use it as a full suite or as individual components that are accessible on-premise, in the cloud, or on-the-go (mobile). Pentaho enables IT and developers to access and integrate data from any source and deliver it to your applications all from within an intuitive and easy to use graphical tool. The Pentaho Enterprise Edition Free Trial... -
Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
-
5
Pretty Damn Quick (PDQ) analytically solves queueing network models of computer and manufacturing systems, data networks, etc., written in conventional programming languages. Generic or customized reports of predicted performance measures are output.
-
6
With Alfresco Audit Analysis and Reporting (A.A.A.R.) is provided a solution to extract, store and query audit data together with the document/folder informations at a very detailed level, with the goal to be useful to the end-user in a very easy way. To reach that goal, to make the data more friendly for the end-user, the data are published in reports in well-known formats (pdf, Microsoft Excel, csv, etc.) and stored directly in Alfresco as static documents organized in folders, versioned,...
-
7
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.
-
8
Adele
Adhoc Data Exploration - Live & Easy
...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, charts, analysis tools,... Connectors (e.g. JDBC, SAP ABAP, OData) can be used to pre-analyse the data and extract it without saving the data as text files. A plugin concept for enhancements are available. Enjoy! Its free for commercial use too. Adele runs without installation from USB stick for Windows, Linux and MacOSX. ... -
9
-
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
-
10
Caxpy Simple Data Visualization
Caxpy is an easy to use data visualization tool that helps you unde
Creating beautiful dashboards and thousands of reports that can be embedded into your application can be easily done with Caxpy. Its a very lightweight application which can be used to create reports from just plain SQL queries. -
11
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 XMLA. Intended audiences are: - scientific research & teaching - financial analysis & controlling Consult the FAQ in the Wiki. -
12
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.
-
13
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. -
14
OpenI plugin for Pentaho CE provides a simple and clean user interface to visualize data in OLAP cubes. It supports both direct Mondrian and xmla based connections like Microsoft SQL Server Analysis Services (SSAS), plus provides add-on features like Explore Cube Data, custom SQL for drillthrough data, publishing drillthrough data to external web services etc.
-
15
Syoncloud
Hadoop, Hbase, HBase Web Client, Flume based log analytics system
Syoncloud Logs enables you to process log files from various applications using Hadoop, Flume and HBase. It has an easy installation and configurations interface. It has Syoncloud HBase web client. It displays tree of HBase tables and column families linked to paginated grid of data. -
16
ZKOlap4j
Solution for integration ZK framework and Olap4j
Solution for integration ZK framework (www.zkoss.org) and Olap4j (www.olap4j.org) -
17
The name of this project is DuruBI. It is Enterprise Reporting Tool allows DB(Data Base) and OLAP(Online analytical processing) and DM(Data Mining) to query and reporting from various data sources.
-
18
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.
-
19
GeoMondrian is a "spatially-enabled" version of Mondrian. GeoMondrian brings to the Mondrian OLAP server what PostGIS brings to the PostgreSQL DBMS, i.e. a consistent and powerful support for geospatial data. It also provides geo-extensions to MDX.
-
20
La_Azada is an OLAP client developed in java (Eclipse Rich Client Application), and based on olap4j. Supports mondrian and XMLA drivers.
-
21
qb4j (pronounced 'cube for j') is the first open source multi-dimensional logging framework for Java coupled with an OLAP analytical platform. qb4j doesn't create log files. It creates log cubes (or cube logs).
-
22
easyDE is an Enterprise Business Intelligence platform that facilitates timely and effective business decision for companies to gain competitive advantage. Allow a wide range of end-users to quickly deploy rich analyses with a single integrated product.
-
23
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.
-
24
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.
-
25
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.
