DalmatinerDB vs TrailDB

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DalmatinerDB
DalmatinerDB

5
5
+ 1
1
TrailDB
TrailDB

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

What is DalmatinerDB? A fast, distributed metric store. DalmatinerDB is a no fluff purpose built metric database. Not a layer put on top of a general purpose database or datastore.

What is 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.

DalmatinerDB and TrailDB belong to "Databases" category of the tech stack.

DalmatinerDB and TrailDB are both open source tools. It seems that TrailDB with 962 GitHub stars and 64 forks on GitHub has more adoption than DalmatinerDB with 696 GitHub stars and 45 GitHub forks.

What is DalmatinerDB?

DalmatinerDB is a no fluff purpose built metric database. Not a layer put on top of a general purpose database or datastore.

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 DalmatinerDB?
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              What are some alternatives to DalmatinerDB 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¬ģ SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
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