396 Big Data SaaS Companies in 2026
Big data software stores, moves and analyzes data too large or too fast for a single database: data lakes and lakehouses, stream processing with tools like Kafka and Spark, distributed and analytical databases, and the platforms that run analytics on top of them. Most of it is sold as a managed cloud service and priced by usage.
- Companies
- 396
- In LeadWave's database, November 2026
- Total funding raised
- $13B
- Across 159 funded companies
- Median headcount
- 31
- Of 260 with a known headcount
- Median year founded
- 2015
- Of 360 with a known year
The largest Big Data SaaS companies
The top 30 of 396, strongest matches first, then by size. Headcount is the latest known figure.
| Company | Website | Employees | Headcount | Funding | CEO | |
|---|---|---|---|---|---|---|
1 Snowflake | snowflake.com | 5,001–10,000 | 9,060 | — | — | Sridhar Ramaswamy |
2 Palantir | palantir.com | 5,001–10,000 | 5,373 | $2.6B | Alex Karp | |
3 MongoDB | mongodb.com | 1,001–5,000 | — | $311M | Chirantan "CJ" Desai | |
4 Databricks | databricks.com | 1,001–5,000 | 2,909 | $1.9B | Ali Ghodsi | |
5 Elastic | elastic.co | 1,001–5,000 | 2,808 | $162M | Ashutosh Kulkarni | |
6 Cloudera | cloudera.com | 1,001–5,000 | 1,600 | $9.6M | Charles Sansbury | |
7 Fivetran | fivetran.com | 1,001–5,000 | 1,173 | $500M–1B | George Fraser | |
8 Domo | domo.com | 1,001–5,000 | 1,102 | $714.7M | Josh James | |
9 Couchbase | couchbase.com | 501–1,000 | 691 | $251M | BJ Schaknowski | |
10 Starburst | starburst.io | 201–500 | — | — | Justin Borgman | |
11 YugaByte | yugabyte.com | 201–500 | — | — | Karthik Ranganathan and Kannan Muthukkaruppan | |
12 Neo4j | neo4j.com | 201–500 | — | — | Emil Eifrem | |
13 NetBase | netbase.com | 201–500 | 282 | $87.1M | Anthony Lye | |
14 Bright Data | brightdata.com | 201–500 | 249 | — | Or Lenchner | |
15 InfluxData | influxdata.com | 201–500 | 210 | $119.9M | Evan Kaplan | |
16 Crayon Data | crayondata.com | 51–200 | 186 | $28.5M | Suresh Shankar | |
17 Zoox | zooxsmart.com | 51–200 | 169 | $8.6M | Rafael de Albuquerque | |
18 Airbyte | airbyte.io | 51–200 | 159 | $100M–500M | Michel Tricot | |
19 Komprise | komprise.com | 51–200 | 154 | $50.7M | Kumar Goswami | |
20 Firebolt | firebolt.io | 51–200 | 153 | $164M | Hemanth Vedagarbha | |
21 Aiven | aiven.io | 51–200 | — | — | Oskari Saarenmaa | |
22 Timescale | timescale.com | 51–200 | — | — | Ajay Kulkarni | |
23 ClickHouse | clickhouse.com | 51–200 | 109 | — | Aaron Katz | |
24 SingleStore | singlestore.com | — | — | — | Raj Verma | |
25 Cockroach Labs | cockroachlabs.com | — | — | — | Spencer Kimball | |
26 Redpanda Data | redpanda.com | — | — | — | Alex Gallego | |
27 Imply | imply.io | — | — | — | Fangjin Yang | |
28 Pinecone | pinecone.io | — | — | — | Ash Ashutosh | |
29 Kinetica | kinetica.com | — | — | — | Nima Negahban | |
30 Ververica | ververica.com | — | — | — | Alexander Walden |
Big Data SaaS companies at a glance
- 57% are headquartered in United States, followed by Germany.
- The largest is Snowflake, with 9,060 employees.
- 159 have disclosed funding, $13B in total; 21 raised $100M or more.
- Half were founded before 2015, and 11% in 2020 or later.
- United States220 · 57%
- Germany18 · 5%
- Canada16 · 4%
- India14 · 4%
- United Kingdom14 · 4%
- Israel11 · 3%
- 1–10103 · 27%
- 11–50150 · 39%
- 51–20079 · 20%
- 201–50032 · 8%
- 501–1,0008 · 2%
- 1,001–5,00011 · 3%
- 5,001–10,0003 · 1%
- 10,000+0 · 0%
- Before 200016 · 4%
- 2000–200963 · 18%
- 2010–201496 · 27%
- 2015–2019144 · 40%
- 2020–202239 · 11%
- 2023 or later2 · 1%
- Under $1M32 · 20%
- $1M–5M30 · 18%
- $5M–10M17 · 10%
- $10M–50M45 · 27%
- $50M–100M18 · 11%
- $100M–500M15 · 9%
- $500M–1B5 · 3%
- $1B+2 · 1%
How this list was built
A company is on this list if LeadWave tags it as a data platform, or its description or website presents it as a big data product: big data analytics or platforms, Hadoop, Spark or Kafka, stream processing, data lakes and lakehouses, or distributed, analytical, columnar and time series databases. The best-known big data platforms were added by hand where their own wording didn't match.
The data comes from LeadWave's database of SaaS and AI companies, last updated in November 2026. Companies that share a website are counted once. Headcount, funding and CEO come from public sources, so some fields are blank for smaller companies.
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Frequently asked questions
LeadWave's database lists 396 Big Data SaaS companies as of November 2026. This page shows the 30 largest; the full list, with CEO contacts, is part of our 15,000+ SaaS companies list.
By headcount, Snowflake, with 9,060 employees, followed by Palantir and MongoDB.
United States: 57% of those with a known headquarters, followed by Germany at 5%.
Palantir ($2.6B), Databricks ($1.9B) and Domo ($714.7M), by total disclosed funding.
LeadWave's SaaS companies list covers 15,000+ companies and 16,000+ CEOs, with verified CEO emails, LinkedIn profiles, headcount and funding in one CSV. It's on the List of SaaS Companies page.
A company that sells software for data at a scale ordinary databases can't handle, as a cloud service: storing petabytes, processing event streams in real time, or querying billions of rows. Customers pay by usage instead of running Hadoop or Spark clusters themselves.
They overlap. Data infrastructure is the plumbing: pipelines, ETL, warehouses, catalogs and governance. Big data is the engines built for scale: distributed databases, stream processing and lakehouses. LeadWave's Data Infrastructure list covers the plumbing.