Search Results for "olap"
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Showing 123 open source projects for "olap"
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The All-in-One Commerce Platform for Businesses - ShopifyShopify is a leading all-in-one commerce platform that enables businesses to start, build, and grow their online and physical stores. It offers tools to create customized websites, manage inventory, process payments, and sell across multiple channels including online, in-person, wholesale, and global markets. The platform includes integrated marketing tools, analytics, and customer engagement features to help merchants reach and retain customers. Shopify supports thousands of third-party apps and offers developer-friendly APIs for custom solutions. With world-class checkout technology, Shopify powers over 150 million high-intent shoppers worldwide. Its reliable, scalable infrastructure ensures fast performance and seamless operations at any business size.
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Gen AI apps are built with MongoDB AtlasMongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
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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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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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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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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. Near Realtime ingestion with Apache Kafka, Apache Pulsar, Kinesissupports JSON, Avro, ProtoBuf, Thrift formats. Apache... -
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Lance
Modern columnar data format for ML and LLMs implemented in Rust
Lance is a columnar data format that is easy and fast to version, query and train on. It’s designed to be used with images, videos, 3D point clouds, audio and of course tabular data. It supports any POSIX file systems, and cloud storage like AWS S3 and Google Cloud Storage. -
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StarRocks
StarRocks is a next-gen sub-second MPP database for full analytics
... applications can easily handle them with StarRocks. From streaming data to change data capture, StarRocks meets the data ingestion demands of real-time analytics. Scale storage and computing power horizontally and support tens of thousands of concurrent users. All of your BI tools work with StarRocks through standard SQL. StarRocks provides superior performance. It is also a unified OLAP covering most data analytics scenarios. -
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MooseStack
The developer framework for building analytical backends
MooseStack is an opinionated starter stack that assembles a modern web application foundation—project structure, build tooling, and deployment scripts—so teams can get from “blank repo” to a working product quickly. It provides a coherent layout for server and client code, standardizes environment configuration, and includes scripts to run the app locally with the same conventions you’ll use in staging or production. The stack favors convention over configuration: common decisions around... -
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qryn
All-in-one Polyglot Observability stack with ClickHouse storage
All the greatest observability formats and integrations you love, at once - LGTM Drop-in compatible. Let's get Polyglot. qryn independently implements popular observability standards, protocols and query languages. Make sure you have sufficient memory and disk resources allocated for your node service and clickhouse server when dealing with large amounts of data and fingerprints. We suggest 8GB RAM or higher for most setups with 100k-1M fingerprints. Observe your daily and weekly data... -
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DataEase
Data visualization analysis tool
... 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. -
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Hydra Columnar
Postgres-native columnar storage extension
Hydra Columnar is an open-source columnar storage extension for PostgreSQL designed to deliver analytics performance on par with modern data warehouses. 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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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. Not only supports... -
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Azure Data SQL Samples
Official Microsoft repository containing code samples for SQL Server
... sample databases or applications without the need to build them from source code. Wide World Importers sample database v1.0 is the main sample for SQL Server 2016 and Azure SQL Database. It contains both an OLTP and an OLAP database. In-Memory OLTP Performance Demo v1.0 illustrates the performance benefits of the In-Memory OLTP technology built into SQL Server and Azure SQL Database. IoT Smart Grid sample v1.0 illustrates how SQL Server can be leveraged to ingest data from IoT devices. -
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NBi
NBi is a testing framework (add-on to NUnit)
NBi is a testing framework (add-on to NUnit) for Business Intelligence. It supports most of the relational databases (SQL server, MySQL, postgreSQL ...) and OLAP platforms (Analysis Services, Mondrian ...) but also ETL and reporting components (Microsoft technologies). The main goal of this framework is to let users create tests with a declarative approach based on an Xml syntax. By the means of NBi, you don't need to develop C# code to specify your tests! Either, you don't need Visual Studio... -
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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... -
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FileHelpers
The FileHelpers are a free and easy to use .NET library to read/write
... or write data from/to a file of a specified format. For example, log parsing, data warehouse and OLAP applications, communication between systems, file format transformations (for example transforming from a fixed length to a CSV file). The FileHelpers library is straightforward to learn and use. The engines of the library contain events to make it easier to extend the behavior of the library. -
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ETL, data warehousing, data mining, OLAP, business intelligence (BI) in Java. 500+ modules: extract, transform, load (ETL), data mining, data analysis + Weka, statistical forecasting, preprocessing, validation, visualization, OLAP, business intelligence.
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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.
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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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BTable
A drill-anywhere component for Pentaho CDE
BTable is a component for the Pentaho Community Dashboard Designer (CDE) that extends the standard Table Component with OLAP functionalities and provides a new drill experience. Dashboard users can easily interact with the table through a context menu that allows to: - add, change or remove dimensions - add, change or remove measures - create cross tables - display grand totals and subtotals - sort by dimensions or measures - add additional filters... -
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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,...
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Projects: 1. LMDQL is a tool that allows queries to multidimensional data based on interconnected XML documents, including XBRL (...) 2. Forensic LMDQL is a tool for forensic financial analysis based on OLAP query languages, for the detection of fraud in XBRL-based financial reporting (...) 3. XBRL Mobile is a tool to visualization of XBRL data on mobile devices (...) 4. XBRL Formula Webservices is a framework for flexible processing of business rules defined with XBRL Formula from...
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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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phpMyOLAP
OLAP tool for PHP-MySQL systems.
OLAP application in PHP for MySQL databases. No java-based web service needed. No MDX language to use. Download FooodMart Database for MySQL http://pentaho.dlpage.phi-integration.com/mondrian/mysql-foodmart-database On line demo and information at http://phpmyolap.altervista.org/ -
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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.
