Spark SQL alternatives
As of 4 November 2026, 31 distributed processing are named by companies instead of Spark SQL: 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.
- Spark SQL, companies in postings
- 389
- Most used alternative
- Apache Spark · 4,705
- Fastest hiring, 90 days
- Apache Spark
- Alternatives ranked
- 31
- Catalogue
- T-1.0.1-prov
distributed processing companies choose instead of Spark SQL
Companies naming each tool in their own postings, and postings in the last 90 days. Bars are relative to the category leader.
| # | Alternative | Companies | companies | vs Spark SQL | postings, 90 d | Compare |
|---|---|---|---|---|---|---|
| 1 | Apache SparkApache Software Foundation | 4,705 | 1210% | 17,434 | Spark SQL vs Apache Spark → | |
| 2 | PySparkApache Software Foundation | 2,336 | 601% | 7,586 | Spark SQL vs PySpark → | |
| 3 | Apache HadoopApache Software Foundation | 1,762 | 453% | 8,057 | Spark SQL vs Apache Hadoop → | |
| 4 | Apache FlinkApache Software Foundation | 943 | 242% | 2,546 | Spark SQL vs Apache Flink → | |
| 5 | Apache HiveApache Software Foundation | 844 | 217% | 2,366 | Spark SQL vs Apache Hive → | |
| 6 | Google Cloud DataflowGoogle | 490 | 126% | 1,659 | Spark SQL vs Google Cloud Dataflow → | |
| 7 | RayAnyscale | 477 | 123% | 1,251 | Spark SQL vs Ray → | |
| 8 | TrinoTrino Software Foundation | 329 | 85% | 912 | Spark SQL vs Trino → | |
| 9 | PrestoLinux Foundation (Presto Foundation) | 323 | 83% | 697 | Spark SQL vs Presto → | |
| 10 | Spark StreamingApache Software Foundation | 318 | 82% | 604 | Spark SQL vs Spark Streaming → | |
| 11 | MapReduceApache Software Foundation | 276 | 71% | 650 | Spark SQL vs MapReduce → | |
| 12 | Apache BeamApache Software Foundation | 246 | 63% | 617 | Spark SQL vs Apache Beam → | |
| 13 | ClouderaCloudera | 208 | 53% | 751 | Spark SQL vs Cloudera → | |
| 14 | Apache PigApache Software Foundation | 187 | 48% | 284 | Spark SQL vs Apache Pig → | |
| 15 | DaskNumFOCUS | 183 | 47% | 294 | Spark SQL vs Dask → | |
| 16 | Google Cloud DataprocGoogle | 182 | 47% | 563 | Spark SQL vs Google Cloud Dataproc → | |
| 17 | Apache StormApache Software Foundation | 172 | 44% | 292 | Spark SQL vs Apache Storm → | |
| 18 | Kafka StreamsApache Software Foundation | 146 | 38% | 348 | Spark SQL vs Kafka Streams → | |
| 19 | Amazon EMRAmazon | 136 | 35% | 380 | Spark SQL vs Amazon EMR → | |
| 20 | Apache ImpalaApache Software Foundation | 136 | 35% | 422 | soon | |
| 21 | Spark Structured StreamingApache Software Foundation | 104 | 27% | 209 | soon | |
| 22 | DenodoDenodo | 67 | 17% | 197 | soon | |
| 23 | Hortonworks Data PlatformCloudera | 55 | 14% | 103 | soon | |
| 24 | Azure Stream AnalyticsMicrosoft | 53 | 14% | 105 | soon | |
| 25 | StarburstStarburst | 46 | 12% | 265 | soon | |
| 26 | MapRHPE | 43 | 11% | 58 | soon | |
| 27 | Azure HDInsightMicrosoft | 40 | 10% | 89 | soon | |
| 28 | Cloudera Data PlatformCloudera | 28 | 7% | 66 | soon | |
| 29 | ksqlDBConfluent | 21 | 5% | 56 | soon | |
| 30 | Apache DataFusionApache Software Foundation | 20 | 5% | 98 | soon | |
| 31 | Apache SamzaApache Software Foundation | 10 | 3% | 29 | soon |
Filter on any of them, or on Spark SQL users who also name an alternative, and open the person who owns the stack.
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31 distributed processing are named by companies instead of Spark SQL: 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/spark-sql/alternatives)
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.
Spark SQL alternatives: questions
What is the most used alternative to Spark SQL?
Apache Spark: 4,705 companies name it in their own job postings, against 389 for Spark SQL.
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.
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.
Every company on Spark SQL
or on what replaces it
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