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Chronix

3
12
+ 1
0
TrailDB

2
16
+ 1
0
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Chronix vs TrailDB: What are the differences?

Chronix: A fast and efficient time series storage based on Apache Lucene and Apache Solr. Chronix is built to store time series highly compressed and for fast access times. In comparison to related time series databases, Chronix does not only take 5 to 171 times less space, but it also shaves off 83% of the access time, and up to 78% off the runtime on a mix of real world queries; TrailDB: 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.

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

Chronix and TrailDB are both open source tools. It seems that TrailDB with 962 GitHub stars and 64 forks on GitHub has more adoption than Chronix with 247 GitHub stars and 23 GitHub forks.

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What is Chronix?

Chronix is built to store time series highly compressed and for fast access times. In comparison to related time series databases, Chronix does not only take 5 to 171 times less space, but it also shaves off 83% of the access time, and up to 78% off the runtime on a mix of real world queries.

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 are some alternatives to Chronix and TrailDB?
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.
SQLite
SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.
See all alternatives