InfluxDB vs OpenLink Virtuoso

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InfluxDB

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888
+ 1
163
OpenLink Virtuoso

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+ 1
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InfluxDB vs OpenLink Virtuoso: What are the differences?

Developers describe InfluxDB as "An open-source distributed time series database with no external dependencies". 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.. On the other hand, OpenLink Virtuoso is detailed as "A database management system for businesses of all sizes". It is the first cross-platform Universal Server to implement Web, File, and Database server functionality alongside Native XML Storage, and Universal Data Access Middleware, as a single server solution.

InfluxDB and OpenLink Virtuoso can be primarily classified as "Databases" tools.

Some of the features offered by InfluxDB are:

  • Time-Centric Functions
  • Scalable Metrics
  • Events

On the other hand, OpenLink Virtuoso provides the following key features:

  • Virtualization of ODBC- and/or JDBC-accessible Disparate Data Sources
  • Virtualization of Storage Services across Dropbox, OneDrive, Google Drive, Box, Amazon S3, Rackspace etc
  • Supports SQL and/or SPARQL query access from ODBC, JDBC, ADO.NET, or OLE DB compliant apps and services

InfluxDB is an open source tool with 18.6K GitHub stars and 2.63K GitHub forks. Here's a link to InfluxDB's open source repository on GitHub.

Advice on InfluxDB and OpenLink Virtuoso
Needs advice
on
TimescaleDB
MongoDB
and
InfluxDB

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

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Replies (3)
Yaron Lavi
Recommends
PostgreSQL

We had a similar challenge. We started with DynamoDB, Timescale, and even InfluxDB and Mongo - to eventually settle with PostgreSQL. Assuming the inbound data pipeline in queued (for example, Kinesis/Kafka -> S3 -> and some Lambda functions), PostgreSQL gave us a We had a similar challenge. We started with DynamoDB, Timescale and even InfluxDB and Mongo - to eventually settle with PostgreSQL. Assuming the inbound data pipeline in queued (for example, Kinesis/Kafka -> S3 -> and some Lambda functions), PostgreSQL gave us better performance by far.

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Recommends
Druid

Druid is amazing for this use case and is a cloud-native solution that can be deployed on any cloud infrastructure or on Kubernetes. - Easy to scale horizontally - Column Oriented Database - SQL to query data - Streaming and Batch Ingestion - Native search indexes It has feature to work as TimeSeriesDB, Datawarehouse, and has Time-optimized partitioning.

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Ankit Malik
Software Developer at CloudCover · | 3 upvotes · 62.7K views
Recommends
Google BigQuery

if you want to find a serverless solution with capability of a lot of storage and SQL kind of capability then google bigquery is the best solution for that.

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Decisions about InfluxDB and OpenLink Virtuoso
Benoit Larroque
Principal Engineer at Sqreen · | 2 upvotes · 50.8K views

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

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Pros of InfluxDB
Pros of OpenLink Virtuoso
  • 51
    Time-series data analysis
  • 28
    Easy setup, no dependencies
  • 24
    Fast, scalable & open source
  • 21
    Open source
  • 18
    Real-time analytics
  • 6
    Continuous Query support
  • 5
    Easy Query Language
  • 4
    HTTP API
  • 4
    Out-of-the-box, automatic Retention Policy
  • 1
    Offers Enterprise version
  • 1
    Free Open Source version
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    Cons of InfluxDB
    Cons of OpenLink Virtuoso
    • 4
      Instability
    • 1
      HA or Clustering is only in paid version
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      - No public GitHub repository available -

      What is InfluxDB?

      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.

      What is OpenLink Virtuoso?

      It is the first cross-platform Universal Server to implement Web, File, and Database server functionality alongside Native XML Storage, and Universal Data Access Middleware, as a single server solution.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use InfluxDB?
      What companies use OpenLink Virtuoso?
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        What tools integrate with InfluxDB?
        What tools integrate with OpenLink Virtuoso?

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        What are some alternatives to InfluxDB and OpenLink Virtuoso?
        TimescaleDB
        TimescaleDB: An open-source database built for analyzing time-series data with the power and convenience of SQL — on premise, at the edge, or in the cloud.
        Redis
        Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.
        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.
        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).
        Prometheus
        Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
        See all alternatives