Fancy stream processing made operationally mundane
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Updated
May 28, 2024 - Go
Fancy stream processing made operationally mundane
Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own.
HStreamDB is an open-source, cloud-native streaming database for IoT and beyond. Modernize your data stack for real-time applications.
The data warehouse for operational workloads.
A curated list of awesome big data frameworks, resources and other awesomeness. With repository stars⭐ and forks🍴
Lean and mean distributed stream processing system written in rust and web assembly.
jKool Event Streaming Library -- telemetry collection, simulation and streaming to jKool enabled servers, jKool Cloud.
Open-Source Web UI for managing Apache Kafka clusters
Web UI for monitoring and managing Karafka consumers
100% Python stream processing with Streaming DataFrames
Utils for streaming large files (S3, HDFS, gzip, bz2...)
Code-Native Data Pipelines
Open Source Phasor Data Concentrator
Grid Solutions Framework
Readyset is a MySQL and Postgres wire-compatible caching layer that sits in front of existing databases to speed up queries and horizontally scale read throughput. Under the hood, ReadySet caches the results of cached select statements and incrementally updates these results over time as the underlying data changes.
Open source content for the Redpanda documentation
Clustering for arbitrary data and dissimilarity function
TNT4J Streams allows data streaming, parsing from various data sources into TNT4J event sinks
System Design, Solution Architecture, Data Systems Practice
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