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InfluxDB

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InfluxDB vs Oracle PL/SQL: What are the differences?

What is InfluxDB? 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..

What is Oracle PL/SQL? It is a combination of SQL along with the procedural features of programming languages. It is available in Oracle Database, TimesTen in-memory database, and IBM DB2. Oracle Corporation usually extends PL/SQL functionality with each successive release of the Oracle Database.

InfluxDB belongs to "Databases" category of the tech stack, while Oracle PL/SQL can be primarily classified under "Query Languages".

InfluxDB is an open source tool with 17.1K GitHub stars and 2.43K GitHub forks. Here's a link to InfluxDB's open source repository on GitHub.

trivago, Redox Engine, and Thumbtack are some of the popular companies that use InfluxDB, whereas Oracle PL/SQL is used by Matrix Absence Management Inc, Pre2000, and CUBE. InfluxDB has a broader approval, being mentioned in 166 company stacks & 259 developers stacks; compared to Oracle PL/SQL, which is listed in 12 company stacks and 31 developer stacks.

Advice on InfluxDB and Oracle PL/SQL
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InfluxDBInfluxDBMongoDBMongoDB
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TimescaleDBTimescaleDB

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
on
PostgreSQLPostgreSQL

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
on
DruidDruid

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 · 322K views
Recommends
on
Google BigQueryGoogle 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 Oracle PL/SQL
Benoit Larroque
Principal Engineer at Sqreen · | 2 upvotes · 133.6K 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 Oracle PL/SQL
  • 58
    Time-series data analysis
  • 30
    Easy setup, no dependencies
  • 24
    Fast, scalable & open source
  • 21
    Open source
  • 20
    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
  • 2
    Multiple ways to accomplish the same end
  • 2
    Powerful
  • 1
    Not mysql
  • 1
    Massive, continuous investment by Oracle Corp
  • 1
    Extensible to external langiages
  • 1
    Pl/sql

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Cons of InfluxDB
Cons of Oracle PL/SQL
  • 4
    Instability
  • 1
    Proprietary query language
  • 1
    HA or Clustering is only in paid version
  • 2
    High commercial license cost

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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 Oracle PL/SQL?

It is a powerful, yet straightforward database programming language. It is easy to both write and read, and comes packed with lots of out-of-the-box optimizations and security features.

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What companies use InfluxDB?
What companies use Oracle PL/SQL?
See which teams inside your own company are using InfluxDB or Oracle PL/SQL.
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What tools integrate with InfluxDB?
What tools integrate with Oracle PL/SQL?

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What are some alternatives to InfluxDB and Oracle PL/SQL?
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), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
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