DalmatinerDB vs PipelineDB

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DalmatinerDB
DalmatinerDB

5
5
+ 1
1
PipelineDB
PipelineDB

6
13
+ 1
0
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DalmatinerDB vs PipelineDB: What are the differences?

Developers describe DalmatinerDB as "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. On the other hand, PipelineDB is detailed as "The Streaming SQL Database". PipelineDB is an open-source relational database that runs SQL queries continuously on streams, incrementally storing results in tables.

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

DalmatinerDB is an open source tool with 698 GitHub stars and 43 GitHub forks. Here's a link to DalmatinerDB's open source repository on GitHub.

- No public GitHub repository available -

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 PipelineDB?

PipelineDB is an open-source relational database that runs SQL queries continuously on streams, incrementally storing results in tables.
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          What are some alternatives to DalmatinerDB and PipelineDB?
          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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