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epfldata avatar

epfldata/squall

0
View on GitHub↗
273 stars·96 forks·Java·Apache-2.0·14 views

Squall

A streaming / online query processing / analytics engine based on Apache Storm

Features

  • Streaming SQL - SQL query execution engine for Storm.

Star history

Star history chart for epfldata/squallStar history chart for epfldata/squall

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.

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Open-source alternatives to Squall

Similar open-source projects, ranked by how many features they share with Squall.
  • apache/flinkapache avatar

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    26,086View on GitHub↗

    Apache Flink is a distributed processing engine designed for both high-throughput, low-latency data streams and finite batch workloads. It functions as a stateful stream processor and a SQL stream processing engine, providing a unified runtime to execute relational queries and event-based transformations. The system is distinguished by its ability to manage persistent operator state to ensure exactly-once processing guarantees and consistency during failures. It features specialized capabilities for complex event processing to detect temporal patterns and handles out-of-order events using eve

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    View on GitHub↗26,086
  • arroyosystems/arroyoArroyoSystems avatar

    ArroyoSystems/arroyo

    4,819View on GitHub↗

    Arroyo is a high-performance stream processing platform built in Rust. It executes continuous SQL queries on streaming data with event-time semantics, enabling accurate windowed aggregations, joins, and stateful computations on unbounded event streams. The platform uses native Rust execution for high throughput and low latency, with periodic checkpointing for exactly-once fault tolerance and horizontal scaling across distributed workers. The system integrates deeply with Kafka for reading and writing topics with exactly-once delivery and supports change data capture (CDC) from MySQL and Postg

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  • confluentinc/ksqlconfluentinc avatar

    confluentinc/ksql

    305View on GitHub↗

    The database purpose-built for stream processing applications.

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    View on GitHub↗305
  • laminardb/laminardblaminardb avatar

    laminardb/laminardb

    38View on GitHub↗

    Open-source streaming SQL engine written in Rust using Apache Arrow and DataFusion. Supports continuous queries, temporal stream joins, tumbling/session windows, and CDC/Kafka connectors. Lightweight, embeddable, and sub-microsecond latency

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See all 8 alternatives to Squall→

Frequently asked questions

What does epfldata/squall do?

A streaming / online query processing / analytics engine based on Apache Storm

What are the main features of epfldata/squall?

The main features of epfldata/squall are: Streaming SQL.

What are some open-source alternatives to epfldata/squall?

Open-source alternatives to epfldata/squall include: apache/flink — Apache Flink is a distributed processing engine designed for both high-throughput, low-latency data streams and finite… arroyosystems/arroyo — Arroyo is a high-performance stream processing platform built in Rust. It executes continuous SQL queries on streaming… confluentinc/ksql — The database purpose-built for stream processing applications. laminardb/laminardb — Open-source streaming SQL engine written in Rust using Apache Arrow and DataFusion. Supports continuous queries,… pipelinedb/pipelinedb — High-performance time-series aggregation for PostgreSQL. siddhi-io/siddhi — Stream Processing and Complex Event Processing Engine.