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IronDB
IronDB

0
5
+ 1
0
TrailDB
TrailDB

1
7
+ 1
0
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IronDB vs TrailDB: What are the differences?

Developers describe IronDB as "A resilient key-value store for the browser". IronDB is the best way to store persistent key-value data in the browser. Data saved to IronDB is redundantly stored in Cookies, IndexedDB, LocalStorage, and SessionStorage, and relentlessly self heals if any data therein is deleted or corrupted. On the other hand, TrailDB is detailed as "An efficient tool for storing and querying series of events, by AdRoll". TrailDB's secret sauce is data compression. It leverages predictability of time-based data to compress your data to a fraction of its original size. In contrast to traditional compression, you can query the encoded data directly, decompressing only the parts you need.

IronDB and TrailDB can be primarily classified as "Databases" tools.

IronDB and TrailDB are both open source tools. It seems that TrailDB with 962 GitHub stars and 64 forks on GitHub has more adoption than IronDB with 5 GitHub stars and 1 GitHub forks.

What is IronDB?

IronDB is the best way to store persistent key-value data in the browser. Data saved to IronDB is redundantly stored in Cookies, IndexedDB, LocalStorage, and SessionStorage, and relentlessly self heals if any data therein is deleted or corrupted.

What is TrailDB?

TrailDB's secret sauce is data compression. It leverages predictability of time-based data to compress your data to a fraction of its original size. In contrast to traditional compression, you can query the encoded data directly, decompressing only the parts you need.
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              What tools integrate with IronDB?
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                  What are some alternatives to IronDB and TrailDB?
                  InfluxDB
                  InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.
                  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.
                  Microsoft SQL Server
                  Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
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