How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
The Heroic Time Series Database
The main features of spotify/heroic are: Big Data and Analytics, Relational Databases.
Open-source alternatives to spotify/heroic include: apache/iceberg — Iceberg is an open table format and big data table manager designed for huge analytic datasets in cloud storage. It… apache/kylin — Kylin is a distributed OLAP engine designed for executing fast SQL queries on massive datasets. It utilizes… mahmoudparsian/data-algorithms-book — This repository is a collection of reference implementations and distributed data processing algorithms implemented in… stellar/stellar-core — Stellar Core is the primary software implementation of the Stellar blockchain network, serving as a distributed ledger… biokoda/actordb — ActorDB distributed SQL database. apache/incubator-druid — Apache Druid is a real-time OLAP database and distributed analytics engine. It functions as a columnar time-series…
Iceberg is an open table format and big data table manager designed for huge analytic datasets in cloud storage. It provides a specification for tracking large-scale datasets to maintain transactional consistency and structural integrity. The project utilizes a standardized REST catalog interface to manage table metadata, ensuring interoperability between different compute engines. This allows diverse query engines to connect to a single table interface and maintain consistency across different processing frameworks. Its core capabilities include managing large-scale analytic tables, coordin
Kylin is a distributed OLAP engine designed for executing fast SQL queries on massive datasets. It utilizes multi-dimensional data cubes to pre-calculate data aggregates, enabling sub-second response times for large-scale analytical queries and big data analytics. The system focuses on large-scale data warehousing and multi-dimensional data modeling. It allows for the organization and querying of vast amounts of structured data to support business intelligence and reporting workflows through distributed SQL querying.
This repository is a collection of reference implementations and distributed data processing algorithms implemented in Java and Scala for cluster computing frameworks. It provides computational recipes for solving complex data processing problems, including large-scale dataset joins, aggregations, and word count tasks. The implementations cover both MapReduce paradigms and Apache Spark integrations, enabling programmatic job submission and execution across distributed node infrastructures. The collection includes specialized utilities for statistical analysis and text processing, such as data
Stellar Core is the primary software implementation of the Stellar blockchain network, serving as a distributed ledger and a Federated Byzantine Agreement system. It functions as a core node that maintains the shared state of the network and provides a runtime environment for executing WebAssembly smart contracts. The project enables the creation and management of digital assets, including the implementation of decentralized exchanges through distributed orderbooks and automated liquidity pools. It facilitates cross-border payment settlement by routing assets via path payments and bridging di