Start free
Tools · distributed processing · Alternatives

Google Cloud Dataflow alternatives_

As of 4 November 2026, 31 distributed processing are named by companies instead of Google Cloud Dataflow: Apache Spark by 4,705 companies, PySpark by 2,336, Apache Hadoop by 1,762.

As of 4 November 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.

Google Cloud Dataflow, companies in postings
490
Most used alternative
Apache Spark · 4,705
Fastest hiring, 90 days
Apache Spark
Alternatives ranked
31
Catalogue
T-1.0.1-prov
01 — Ranked by evidence

distributed processing companies choose instead of Google Cloud Dataflow

Companies naming each tool in their own postings, and postings in the last 90 days. Bars are relative to the category leader.

#AlternativeCompaniescompaniesvs Google Cloud Dataflowpostings, 90 dCompare
1
Apache SparkApache Software Foundation
4,705960%17,434Google Cloud Dataflow vs Apache Spark →
2
PySparkApache Software Foundation
2,336477%7,586Google Cloud Dataflow vs PySpark →
3
Apache HadoopApache Software Foundation
1,762360%8,057Google Cloud Dataflow vs Apache Hadoop →
4
Apache FlinkApache Software Foundation
943192%2,546Google Cloud Dataflow vs Apache Flink →
5
Apache HiveApache Software Foundation
844172%2,366Google Cloud Dataflow vs Apache Hive →
6
RayAnyscale
47797%1,251Google Cloud Dataflow vs Ray →
7
Spark SQLApache Software Foundation
38979%994Google Cloud Dataflow vs Spark SQL →
8
TrinoTrino Software Foundation
32967%912Google Cloud Dataflow vs Trino →
9
PrestoLinux Foundation (Presto Foundation)
32366%697Google Cloud Dataflow vs Presto →
10
Spark StreamingApache Software Foundation
31865%604Google Cloud Dataflow vs Spark Streaming →
11
MapReduceApache Software Foundation
27656%650Google Cloud Dataflow vs MapReduce →
12
Apache BeamApache Software Foundation
24650%617Google Cloud Dataflow vs Apache Beam →
13
ClouderaCloudera
20842%751Google Cloud Dataflow vs Cloudera →
14
Apache PigApache Software Foundation
18738%284Google Cloud Dataflow vs Apache Pig →
15
DaskNumFOCUS
18337%294Google Cloud Dataflow vs Dask →
16
Google Cloud DataprocGoogle
18237%563Google Cloud Dataflow vs Google Cloud Dataproc →
17
Apache StormApache Software Foundation
17235%292Google Cloud Dataflow vs Apache Storm →
18
Kafka StreamsApache Software Foundation
14630%348Google Cloud Dataflow vs Kafka Streams →
19
Amazon EMRAmazon
13628%380Google Cloud Dataflow vs Amazon EMR →
20
Apache ImpalaApache Software Foundation
13628%422soon
21
Spark Structured StreamingApache Software Foundation
10421%209soon
22
DenodoDenodo
6714%197soon
23
Hortonworks Data PlatformCloudera
5511%103soon
24
Azure Stream AnalyticsMicrosoft
5311%105soon
25
StarburstStarburst
469%265soon
26
MapRHPE
439%58soon
27
Azure HDInsightMicrosoft
408%89soon
28
Cloudera Data PlatformCloudera
286%66soon
29
ksqlDBConfluent
214%56soon
30
Apache DataFusionApache Software Foundation
204%98soon
31
Apache SamzaApache Software Foundation
102%29soon
15,275 companies name a distributed processing in their postings.

Filter on any of them, or on Google Cloud Dataflow users who also name an alternative, and open the person who owns the stack.

Get the full list Watch this category

Free plan: 1,000 records, no card. The first 20 are above; e-mails are verified at the mail server when you open them.

Cite this

Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.

31 distributed processing are named by companies instead of Google Cloud Dataflow: Apache Spark by 4,705 companies, PySpark by 2,336, Apache Hadoop by 1,762, measured from their own job postings. (Breaknorm, 4 November 2026, https://breaknorm.co/tools/google-cloud-dataflow/alternatives)
How we know

Read from the source, not self-reported

Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →

  • RankingCompanies whose own postings name the tool as the team's system, from the Breaknorm technology catalogue T-1.0.1-prov. Editions are folded into their parent product.
  • 90-day postingsOpen postings first seen or posted in the last 90 days that name the tool.
  • Not includedRatings, prices, feature claims, sponsored positions.
FAQ

Google Cloud Dataflow alternatives: questions

What is the most used alternative to Google Cloud Dataflow?

Apache Spark: 4,705 companies name it in their own job postings, against 490 for Google Cloud Dataflow.

How is this list ranked?

By the number of companies whose own postings name the tool as the team's system (Breaknorm technology catalogue T-1.0.1-prov), then by postings in the last 90 days. No ratings, no vendor input, no sponsored positions.

Does this say which is better?

No. It says who uses what, by company size, industry and country, so you can see which tools companies like yours choose. For features and prices, read the vendors.

Can I get the companies on any of these?

Yes: click the tool, see the first 20 companies, and sign up for the full list with verified e-mails. Counting is free.

Companies and people

Get these companies your way

The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.

SearchCompany searchFilter on what a company actually does→SearchPeople searchDecision makers, normalized and verified→MCP and APICompanies over MCP and APICount, search and export from your agent→DatasetCompany and People datasetThe whole market in your warehouse→DataCoverage by countryCheck your market before you start→SearchLocal businessesThe same database, by category and city→

Every company on Google Cloud Dataflow
or on what replaces it

Connect the MCP server, filter on any tool, and get 1,000 records free.

Start free with 1,000 records
  1. 01Sign up, no card
  2. 02Connect Claude, ChatGPT or an API key
  3. 03Ask for your market, 1,000 records free