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  5. Cloudera Enterprise vs InfluxDB

Cloudera Enterprise vs InfluxDB

OverviewDecisionsComparisonAlternatives

Overview

Cloudera Enterprise
Cloudera Enterprise
Stacks126
Followers172
Votes5
InfluxDB
InfluxDB
Stacks1.0K
Followers1.2K
Votes175

Cloudera Enterprise vs InfluxDB: What are the differences?

<Cloudera Enterprise vs InfluxDB>

1. **Data Processing Model**: Cloudera Enterprise focuses on distributed data processing using tools like Hadoop and Spark, while InfluxDB is specifically designed for time-series data storage and retrieval, tailored for IoT and monitoring applications.
2. **Scalability**: Cloudera Enterprise offers scalability for large-scale data operations by utilizing Hadoop's distributed architecture, whereas InfluxDB is known for its high scalability in handling vast amounts of time-series data with high write and query throughput.
3. **Ecosystem Integration**: Cloudera Enterprise comes with a rich ecosystem of tools and connectors for various data sources and applications, facilitating an end-to-end data analytics solution. In contrast, InfluxDB has integrations with popular monitoring and visualization tools like Grafana, but may require additional connectors for other data sources.
4. **Consistency Model**: Cloudera Enterprise supports strong consistency in distributed data processing, ensuring data integrity across clusters, while InfluxDB prioritizes availability and partition tolerance in its query operations, sacrificing some level of consistency.
5. **Use Cases**: Cloudera Enterprise caters to a wide range of big data processing and analytics use cases across industries, including batch processing, machine learning, and data warehousing. On the other hand, InfluxDB is best suited for real-time monitoring, sensor data analysis, and IoT applications where time-series data plays a crucial role.
6. **Commercial Support**: Cloudera offers comprehensive commercial support packages for enterprise customers, providing services like training, consulting, and technical support, whereas InfluxDB provides open-source community support with enterprise options for those needing additional features and support.

In Summary, Cloudera Enterprise and InfluxDB differ in their focus on data processing models, scalability, ecosystem integration, consistency models, use cases, and commercial support offerings.

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Advice on Cloudera Enterprise, InfluxDB

Anonymous
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
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
pionell
pionell

Sep 16, 2020

Needs adviceonMariaDBMariaDB

I have a lot of data that's currently sitting in a MariaDB database, a lot of tables that weigh 200gb with indexes. Most of the large tables have a date column which is always filtered, but there are usually 4-6 additional columns that are filtered and used for statistics. I'm trying to figure out the best tool for storing and analyzing large amounts of data. Preferably self-hosted or a cheap solution. The current problem I'm running into is speed. Even with pretty good indexes, if I'm trying to load a large dataset, it's pretty slow.

159k views159k
Comments

Detailed Comparison

Cloudera Enterprise
Cloudera Enterprise
InfluxDB
InfluxDB

Cloudera Enterprise includes CDH, the world’s most popular open source Hadoop-based platform, as well as advanced system management and data management tools plus dedicated support and community advocacy from our world-class team of Hadoop developers and experts.

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.

Unified – one integrated system, bringing diverse users and application workloads to one pool of data on common infrastructure; no data movement required;Secure – perimeter security, authentication, granular authorization, and data protection;Governed – enterprise-grade data auditing, data lineage, and data discovery;Managed – native high-availability, fault-tolerance and self-healing storage, automated backup and disaster recovery, and advanced system and data management;Open – Apache-licensed open source to ensure your data and applications remain yours, and an open platform to connect with all of your existing investments in technology and skills
Time-Centric Functions;Scalable Metrics; Events;Native HTTP API;Powerful Query Language;Built-in Explorer
Statistics
Stacks
126
Stacks
1.0K
Followers
172
Followers
1.2K
Votes
5
Votes
175
Pros & Cons
Pros
  • 1
    Cheeper
  • 1
    Easily management
  • 1
    Hybrid cloud
  • 1
    Multicloud
  • 1
    Scalability
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

What are some alternatives to Cloudera Enterprise, InfluxDB?

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.

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.

ArangoDB

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.

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