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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. DalmatinerDB vs Effe

DalmatinerDB vs Effe

OverviewComparisonAlternatives

Overview

DalmatinerDB
DalmatinerDB
Stacks6
Followers10
Votes1
GitHub Stars690
Forks43
Effe
Effe
Stacks359
Followers10
Votes0
GitHub Stars231
Forks7

DalmatinerDB vs Effe: 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, Effe is detailed as "A building block for an open source AWS lambda". Effe is an extremely simple building block with which to build a "server-less" architecture. This is a building block, operates on the level of a single lambda function.

DalmatinerDB can be classified as a tool in the "Databases" category, while Effe is grouped under "Serverless / Task Processing".

DalmatinerDB and Effe are both open source tools. DalmatinerDB with 695 GitHub stars and 45 forks on GitHub appears to be more popular than Effe with 231 GitHub stars and 7 GitHub forks.

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Detailed Comparison

DalmatinerDB
DalmatinerDB
Effe
Effe

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

Effe is an extremely simple building block with which to build a "server-less" architecture. This is a building block, operates on the level of a single lambda function.

Statistics
GitHub Stars
690
GitHub Stars
231
GitHub Forks
43
GitHub Forks
7
Stacks
6
Stacks
359
Followers
10
Followers
10
Votes
1
Votes
0
Pros & Cons
Pros
  • 1
    Light and Fast
No community feedback yet

What are some alternatives to DalmatinerDB, Effe?

MongoDB

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.

MySQL

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

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.

Microsoft SQL Server

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

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.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

AWS Lambda

AWS Lambda

AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

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