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DalmatinerDB

6
10
+ 1
1
Pouchdb

146
241
+ 1
6
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DalmatinerDB vs Pouchdb: What are the differences?

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; Pouchdb: Open-source JavaScript database inspired by Apache CouchDB that's designed to run well within the browser. PouchDB enables applications to store data locally while offline, then synchronize it with CouchDB and compatible servers when the application is back online, keeping the user's data in sync no matter where they next login.

DalmatinerDB and Pouchdb can be primarily classified as "Databases" tools.

DalmatinerDB and Pouchdb are both open source tools. It seems that Pouchdb with 12.1K GitHub stars and 1.21K forks on GitHub has more adoption than DalmatinerDB with 696 GitHub stars and 45 GitHub forks.

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Pros of DalmatinerDB
Pros of Pouchdb
  • 1
    Light and Fast
  • 2
    Offline cache
  • 1
    JSON
  • 1
    Very fast
  • 1
    Free
  • 1
    Repication

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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 Pouchdb?

PouchDB enables applications to store data locally while offline, then synchronize it with CouchDB and compatible servers when the application is back online, keeping the user's data in sync no matter where they next login.

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What companies use DalmatinerDB?
What companies use Pouchdb?
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What tools integrate with DalmatinerDB?
What tools integrate with Pouchdb?
    No integrations found
    What are some alternatives to DalmatinerDB and Pouchdb?
    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.
    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.
    See all alternatives