InfluxDB vs Umbra

Overview

InfluxDB

Stacks1.0K

Followers1.2K

Votes175

Umbra

Stacks1

Followers8

Votes0

InfluxDB vs Umbra: What are the differences?

InfluxDB and Umbra are two different time-series databases that cater to specific needs and requirements. InfluxDB is known for its scalability, high performance, and ease of use, while Umbra is designed for complex event processing and handling massive amounts of data efficiently. Below are the key differences between InfluxDB and Umbra:

Data Model: InfluxDB uses a key-value data model where each data point consists of a timestamp, measurement, tags, and fields. On the other hand, Umbra uses a more flexible data model with nested structures, arrays, and complex schemas, allowing for more advanced data processing capabilities.
Query Language: InfluxDB uses its own query language known as InfluxQL, which is SQL-like and easy to learn for users familiar with SQL. Umbra, on the other hand, supports a complex event processing language that enables users to define patterns and rules for processing streaming data efficiently.
Scalability: InfluxDB is highly scalable and can easily handle large amounts of data and high throughput. Umbra, on the other hand, is designed for handling complex event processing tasks and may not scale as well for traditional time-series data storage and retrieval.
Use Cases: InfluxDB is popular among developers and DevOps teams for monitoring, IoT, and real-time analytics applications due to its simplicity and ease of use. Umbra, on the other hand, is more suitable for financial services, telecommunications, and other industries where complex event processing and real-time decision-making are crucial.
Community Support: InfluxDB has a large and active community with extensive documentation, tutorials, and third-party integrations, making it easier for users to get started and troubleshoot issues. Umbra, being a newer and more specialized tool, may have a smaller community and limited resources available for support and development.

In Summary, InfluxDB is a versatile time-series database known for its scalability and ease of use, catering to a wide range of use cases, while Umbra is specialized for complex event processing tasks with advanced data processing capabilities.

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Advice on InfluxDB, Umbra

Anonymous

Apr 21, 2020

Needs advice

We are building an IOT service with heavy write throughput and fewer reads (we need downsampling records). We prefer to have good reliability when comes to data and prefer to have data retention based on policies.

So, we are looking for what is the best underlying DB for ingesting a lot of data and do queries easily

381k views381k

Comments

Benoit

Principal Engineer at Sqreen

Sep 21, 2019

Decided

I chose TimescaleDB because to be the backend system of our production monitoring system. We needed to be able to keep track of multiple high cardinality dimensions.

The drawbacks of this decision are our monitoring system is a bit more ad hoc than it used to (New Relic Insights)

We are combining this with Grafana for display and Telegraf for data collection

155k views155k

Comments

Detailed Comparison

InfluxDB	Umbra
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.	It is a fully ACID-compliant database built for in-memory analytics speed. For out-of-core processing it falls back gracefully to flash-based storage. Featuring fast code generation, low-latency query execution, and drop-in PostgreSQL compatibility.
Time-Centric Functions;Scalable Metrics; Events;Native HTTP API;Powerful Query Language;Built-in Explorer	Low-Overhead Buffer Manager; Low-Latency Query Compilation; Compact Intermediate Representation; No Compromises; Computational Database beyond SQL
Statistics
Stacks 1.0K	Stacks 1
Followers 1.2K	Followers 8
Votes 175	Votes 0
Pros & Cons
Pros 59 Time-series data analysis 30 Easy setup, no dependencies 24 Fast, scalable & open source 21 Open source 20 Real-time analytics Cons 4 Instability 1 Proprietary query language 1 HA or Clustering is only in paid version	No community feedback yet
Integrations
No integrations available	PostgreSQL

What are some alternatives to InfluxDB, Umbra?

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.

Related Comparisons

InfluxDB vs Umbra: What are the differences?

Data Model: InfluxDB uses a key-value data model where each data point consists of a timestamp, measurement, tags, and fields. On the other hand, Umbra uses a more flexible data model with nested structures, arrays, and complex schemas, allowing for more advanced data processing capabilities.
Query Language: InfluxDB uses its own query language known as InfluxQL, which is SQL-like and easy to learn for users familiar with SQL. Umbra, on the other hand, supports a complex event processing language that enables users to define patterns and rules for processing streaming data efficiently.
Scalability: InfluxDB is highly scalable and can easily handle large amounts of data and high throughput. Umbra, on the other hand, is designed for handling complex event processing tasks and may not scale as well for traditional time-series data storage and retrieval.
Use Cases: InfluxDB is popular among developers and DevOps teams for monitoring, IoT, and real-time analytics applications due to its simplicity and ease of use. Umbra, on the other hand, is more suitable for financial services, telecommunications, and other industries where complex event processing and real-time decision-making are crucial.
Community Support: InfluxDB has a large and active community with extensive documentation, tutorials, and third-party integrations, making it easier for users to get started and troubleshoot issues. Umbra, being a newer and more specialized tool, may have a smaller community and limited resources available for support and development.

InfluxDB vs Umbra

Overview