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  5. Groonga vs YugabyteDB

Groonga vs YugabyteDB

OverviewComparisonAlternatives

Overview

Groonga
Groonga
Stacks2
Followers15
Votes0
GitHub Stars831
Forks120
YugabyteDB
YugabyteDB
Stacks50
Followers114
Votes1
GitHub Stars9.9K
Forks1.2K

Groonga vs YugabyteDB: What are the differences?

What is Groonga? * An open-source full-text search engine and column store*. It is an embeddable super fast full text search engine. It can be embedded into MySQL. Mroonga is a storage engine that is based on it.

What is YugabyteDB? High-performance, , cloud-native distributed SQL database. It is a high-performance distributed SQL database for powering global, internet-scale applications. Built using a unique combination of high-performance document store, per-shard distributed consensus replication and multi-shard ACID transactions.

Groonga and YugabyteDB can be categorized as "Search Engines" tools.

Some of the features offered by Groonga are:

  • Storage Engine
  • Fast
  • Easy to use

On the other hand, YugabyteDB provides the following key features:

  • Global Resilience
  • Low Read Latency
  • Massive Write Scalability

Groonga and YugabyteDB are both open source tools. YugabyteDB with 3.15K GitHub stars and 277 forks on GitHub appears to be more popular than Groonga with 551 GitHub stars and 108 GitHub forks.

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Detailed Comparison

Groonga
Groonga
YugabyteDB
YugabyteDB

It is an embeddable super fast full text search engine. It can be embedded into MySQL. Mroonga is a storage engine that is based on it.

An open-source, high-performance, distributed SQL database built for resilience and scale. Re-uses the upper half of PostgreSQL to offer advanced RDBMS features, architected to be fully distributed like Google Spanner.

Storage Engine; Fast; Easy to use
Resilience; High Performance; Scalability; Enterprise Grade; Cloud-native; Kubernetes; PostgreSQL-compatible; Geo-Distributed; Hybrid Cloud
Statistics
GitHub Stars
831
GitHub Stars
9.9K
GitHub Forks
120
GitHub Forks
1.2K
Stacks
2
Stacks
50
Followers
15
Followers
114
Votes
0
Votes
1
Pros & Cons
No community feedback yet
Pros
  • 1
    Compatible with the result of pg_dump
Integrations
Snowplow
Snowplow
Kibana
Kibana
Couchbase
Couchbase
Cloud 66
Cloud 66
Datadog
Datadog
Redash
Redash
Logstash
Logstash
Golang
Golang
PHP
PHP
Java
Java
Python
Python
Spring Boot
Spring Boot
Apache Spark
Apache Spark
Node.js
Node.js
C#
C#
Kubernetes
Kubernetes
Ruby
Ruby

What are some alternatives to Groonga, YugabyteDB?

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.

Elasticsearch

Elasticsearch

Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).

Algolia

Algolia

Our mission is to make you a search expert. Push data to our API to make it searchable in real time. Build your dream front end with one of our web or mobile UI libraries. Tune relevance and get analytics right from your dashboard.

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.

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