Get Advice Icon

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

Apache Flink
Apache Flink

141
149
+ 1
11
InfluxDB
InfluxDB

475
312
+ 1
112
Add tool

Apache Flink vs InfluxDB: What are the differences?

What is Apache Flink? Fast and reliable large-scale data processing engine. Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.

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..

Apache Flink and InfluxDB are primarily classified as "Big Data" and "Databases" tools respectively.

Some of the features offered by Apache Flink are:

  • Hybrid batch/streaming runtime that supports batch processing and data streaming programs.
  • Custom memory management to guarantee efficient, adaptive, and highly robust switching between in-memory and data processing out-of-core algorithms.
  • Flexible and expressive windowing semantics for data stream programs

On the other hand, InfluxDB provides the following key features:

  • Time-Centric Functions
  • Scalable Metrics
  • Events

"Unified batch and stream processing" is the top reason why over 6 developers like Apache Flink, while over 35 developers mention "Time-series data analysis" as the leading cause for choosing InfluxDB.

Apache Flink and InfluxDB are both open source tools. InfluxDB with 16.6K GitHub stars and 2.37K forks on GitHub appears to be more popular than Apache Flink with 9.11K GitHub stars and 4.86K GitHub forks.

According to the StackShare community, InfluxDB has a broader approval, being mentioned in 116 company stacks & 38 developers stacks; compared to Apache Flink, which is listed in 20 company stacks and 21 developer stacks.

What is Apache Flink?

Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.

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.
Get Advice Icon

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

Why do developers choose Apache Flink?
Why do developers choose InfluxDB?

Sign up to add, upvote and see more prosMake informed product decisions

    Be the first to leave a con
    Jobs that mention Apache Flink and InfluxDB as a desired skillset
    What companies use Apache Flink?
    What companies use InfluxDB?

    Sign up to get full access to all the companiesMake informed product decisions

    What tools integrate with Apache Flink?
    What tools integrate with InfluxDB?

    Sign up to get full access to all the tool integrationsMake informed product decisions

    What are some alternatives to Apache Flink and InfluxDB?
    Apache Spark
    Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
    Apache Storm
    Apache Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Storm has many use cases: realtime analytics, online machine learning, continuous computation, distributed RPC, ETL, and more. Storm is fast: a benchmark clocked it at over a million tuples processed per second per node. It is scalable, fault-tolerant, guarantees your data will be processed, and is easy to set up and operate.
    Beam
    A distributed knowledge graph store. Knowledge graphs are suitable for modeling data that is highly interconnected by many types of relationships, like encyclopedic information about the world.
    Apache Flume
    It is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data. It has a simple and flexible architecture based on streaming data flows. It is robust and fault tolerant with tunable reliability mechanisms and many failover and recovery mechanisms. It uses a simple extensible data model that allows for online analytic application.
    Kafka
    Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
    See all alternatives
    Decisions about Apache Flink and InfluxDB
    No stack decisions found
    Interest over time
    Reviews of Apache Flink and InfluxDB
    Review ofInfluxDBInfluxDB

    Influx doesn't currently natively support horizontal distribution. Hard to recommend it until they implement that.

    Avatar of YaronWittenstein
    Computer Science
    Review ofInfluxDBInfluxDB

    InfluxDB is a game changer

    How developers use Apache Flink and InfluxDB
    Avatar of ShadowICT
    ShadowICT uses InfluxDBInfluxDB

    We use InfluxDB as a store for our data that gets fed into Grafana. It's ideal for this as it's a lightweight storage engine that can be modified on the fly by scripts without having to log into the server itself and manage tables. The HTTP API also makes it ideal for integrating with frontend services.

    Avatar of Goyoboard
    Goyoboard uses InfluxDBInfluxDB

    To track time-series of course, utilizing few retention rules and continuous queries to keep time-series data fast and maintanable

    Avatar of sapslaj
    sapslaj uses InfluxDBInfluxDB

    InfluxDB ingests information from various sources (mostly Telegraf instances) into one place for monitoring purposes.

    Avatar of Chris Hartwig
    Chris Hartwig uses InfluxDBInfluxDB

    All our metrics go through InfluxDB, both applicative and system

    Avatar of Coolfront Technologies
    Coolfront Technologies uses Apache FlinkApache Flink

    Used for analytics on streaming data.

    Avatar of rmetzger
    rmetzger uses Apache FlinkApache Flink

    Flink for stream data analytics

    How much does Apache Flink cost?
    How much does InfluxDB cost?
    Pricing unavailable
    Pricing unavailable
    News about Apache Flink
    More news