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ReductStore

A time series database for storing and managing large amounts of blob data
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What is ReductStore?

ReductStore is a time series database that is specifically designed for storing and managing large amounts of blob data. It boasts high performance for both writing and real-time querying, with the added benefit of batching data. This makes
ReductStore is a tool in the Databases category of a tech stack.
ReductStore is an open source tool with 186 GitHub stars and 8 GitHub forks. Here’s a link to ReductStore's open source repository on GitHub

Who uses ReductStore?

Companies

Developers

ReductStore Integrations

JavaScript, Python, Node.js, Docker, and Java are some of the popular tools that integrate with ReductStore. Here's a list of all 11 tools that integrate with ReductStore.
Pros of ReductStore
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Open source
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Labeling data for annotation and filtering
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Free for commercial use
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Append-only replication
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Embedded Web Console
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Real-time FIFO bucket quota
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Query data via a time interval
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HTTP API
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Manange a history of blobs
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Autmotic FIFO bucket quota
Decisions about ReductStore

Here are some stack decisions, common use cases and reviews by companies and developers who chose ReductStore in their tech stack.

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MQTTMQTTReductStoreReductStore

You can use ReductStore to keep a history of MQTT messages by using its Client SDKs. This can be useful if you use a binary format for your data and it can be recorded in a classical TSDB. You can set a FIFO quota for a bucket in your ReductStore instance so that the database removes old MQTT messages when the limit is reached.

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ReductStore's Features

  • Storing and accessing unstructured data as time series
  • No limit for maximum size of blob
  • Real-time FIFO bucket quota based on size to avoid disk space shortage
  • Append-only replication
  • HTTP(S) API
  • Optimized for small objects (less than 1 MB)
  • Labeling data for annotation and filtering
  • Iterative data querying
  • Batching records in an HTTP response
  • Embedded Web Console
  • Token authorization for managing data access

ReductStore Alternatives & Comparisons

What are some alternatives to ReductStore?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
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Related Comparisons
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ReductStore's Followers
1 developers follow ReductStore to keep up with related blogs and decisions.