H2 Database vs OpenTSDB

Overview

OpenTSDB

Stacks32

Followers75

Votes0

GitHub Stars5.1K

Forks1.2K

H2 Database

Stacks1.3K

Followers121

Votes0

H2 Database vs OpenTSDB: What are the differences?

Developers describe H2 Database as "A relational database management system written in Java". It is a relational database management system written in Java. It can be embedded in Java applications or run in client-server mode. On the other hand, OpenTSDB is detailed as "A scalable time series database". It is a distributed, scalable time series database to store, index & serve metrics collected from computer systems at a large scale. It can store and serve massive amounts of time series data without losing granularity.

H2 Database and OpenTSDB can be primarily classified as "Databases" tools.

OpenTSDB is an open source tool with 3.81K GitHub stars and 1.11K GitHub forks. Here's a link to OpenTSDB's open source repository on GitHub.

According to the StackShare community, H2 Database has a broader approval, being mentioned in 9 company stacks & 19 developers stacks; compared to OpenTSDB, which is listed in 4 company stacks and 6 developer stacks.

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CLI (Node.js)

Manual

Detailed Comparison

OpenTSDB	H2 Database
It is a distributed, scalable time series database to store, index & serve metrics collected from computer systems at a large scale. It can store and serve massive amounts of time series data without losing granularity.	It is a relational database management system written in Java. It can be embedded in Java applications or run in client-server mode.
Store and serve massive amounts of time series data; Scalable	-
Statistics
GitHub Stars 5.1K	GitHub Stars -
GitHub Forks 1.2K	GitHub Forks -
Stacks 32	Stacks 1.3K
Followers 75	Followers 121
Votes 0	Votes 0
Integrations
Grafana HBase	No integrations available

What are some alternatives to OpenTSDB, H2 Database?

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

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.

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 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

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 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

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.

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.

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.