Data Warehouse & Data Lake Platforms
SaaS Browser tracks 815 Data Warehouse & Data Lake Platforms software companies, with 59 added in the past 30 days. The top countries for Data Warehouse & Data Lake Platforms SaaS include United States (244), United Kingdom (27), India (26).
Key Data Points for Data Warehouse & Data Lake Platforms
815
Total Software1
59
New (Past 30 Days)2
38
Affiliate Programs3
6
Median Age (Years)4
+492
New (Past 365 Days)5
109
Churned (Past Year)6
18.1%
Annual Churn Rate7
29.7%
Free Trial8
Company Size Distribution9
16
Enterprise (1,000+)
4.4% of total
20
Large (201-1,000)
5.5% of total
85
Mid-Size (51-200)
23.4% of total
242
Small (2-50)
66.7% of total
Most Established Data Warehouse & Data Lake Platforms Companies
| Company | Employees | Domain Rank | Founded | Added |
|---|---|---|---|---|
| MongoDB Atlas | 10,000 | 67 | 2007 | 2025-02-10 |
| Databricks | 10,000 | 62 | — | 2025-02-04 |
| Snowflake AI Data Cloud | — | 62 | — | 2025-02-26 |
| Apache Kafka | — | 61 | — | 2025-11-02 |
| Cloudera | 5,000 | 59 | — | 2025-02-04 |
| Talend | 5,000 | 58 | 1993 | 2025-02-05 |
| Confluent | 5,000 | 57 | 2014 | 2025-02-03 |
| Fivetran | 5,000 | 53 | 2012 | 2025-02-03 |
| ClickHouse | 1,000 | 53 | 2021 | 2025-02-10 |
| dbt Labs | 1,000 | 52 | 2016 | 2025-02-06 |
Top 10 Countries for Data Warehouse & Data Lake Platforms SaaS
The following countries represent where most Data Warehouse & Data Lake Platforms SaaS companies are headquartered, based on our data for 815 software products.
| Country | Count | % of Total |
|---|---|---|
| United States | 244 | 29.9% |
| United Kingdom | 27 | 3.3% |
| India | 26 | 3.2% |
| Germany | 20 | 2.5% |
| Canada | 15 | 1.8% |
| France | 7 | 0.9% |
| Denmark | 6 | 0.7% |
| Israel | 5 | 0.6% |
| Czechia | 4 | 0.5% |
| Belgium | 4 | 0.5% |
SEO & Domain Authority for Data Warehouse & Data Lake Platforms
Median Domain Rank10
13
vs. overall median of 8
Median Referring Domains11
6
vs. overall median of 2
Pricing Data for Data Warehouse & Data Lake Platforms
Median Starting Price (USD)12
$29/mo
Median High Price (USD)13
$200/mo
Market Saturation for Data Warehouse & Data Lake Platforms
This score is computed from a combination of total products, domain authority, referring domains, company age, traffic growth, pricing, and enterprise presence.
Saturation Score14
54 / 100 (Medium)
Affiliate Programs in Data Warehouse & Data Lake Platforms
38 Data Warehouse & Data Lake Platforms SaaS companies offer affiliate programs (4.7% of total).
Median Commission15
20%
Commission Type Distribution
One-Time
1
Recurring
5
Most Recently Added Data Warehouse & Data Lake Platforms SaaS
JoinLayer
Added 2026-07-25
EvoData
Added 2026-07-25
Dashflow
Added 2026-07-25
Renato Perez
Added 2026-07-24
Teracias
Added 2026-07-23
Agentsql
Added 2026-07-23
DataUniversa
Added 2026-07-22
DecisionGraph
Added 2026-07-22
Cleansera
Added 2026-07-21
InsightAutoHub
Added 2026-07-21
Median Age of Data Warehouse & Data Lake Platforms SaaS Companies
The median Data Warehouse & Data Lake Platforms SaaS company was founded 6.0 years ago (median founding year: 2020).
B2B / B2C Breakdown for Data Warehouse & Data Lake Platforms16
42
Both B2B & B2C
5.2%
770
Business (B2B)
94.8%
Based on 812 companies with consumer type data (99.6% of total).
SaaS Discovery Trend for Data Warehouse & Data Lake Platforms
Monthly SaaS discovery count for Data Warehouse & Data Lake Platforms compared to its share of all SaaS discovered. A rising percentage indicates this segment is growing faster than the overall market.
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Fractional Data Engineer
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A fractional data engineering service consolidates, cleans, and organizes a company's diverse data sources into a single, trustworthy, and accessible repository, enabling teams to rapidly access accurate information for decision-making. Key features include tailored discovery and architectural assessment, standardized data management practices, risk mitigation strategies, and compliance assurance, addressing challenges such as inefficient manual data retrieval, untrustworthy or fragmented data, and delayed business insights, making it ideal for organizations with multiple disparate tools and limited internal data expertise seeking cost-effective, scalable solutions without full-time hiring.
Pricing:
$60-$80/mo
The monthly pricing range for this SaaS product. Prices are normalized to monthly amounts where possible.
Database Management & DBaaS
The category of this listing.
Data Warehouse & Data Lake Platforms
The category of this listing.
This native data processing engine enables high-performance reading and writing of Delta Lake and Apache Iceberg tables directly on existing hardware without requiring clusters or additional data warehouses. It offers features such as in-place data modifications, seamless table versioning with time travel, schema enforcement, change data feed, and interoperability between different data formats, solving challenges related to data consistency, validation, and operational complexity in lakehouse architectures. Designed for data engineers, scientists, and analytics teams, it provides a cost-effective, reliable, and verifiable platform for managing large-scale analytics workloads, data lake management, and real-time data access without the need for complex cluster management or data duplication.
Pricing:
From $0/mo
The monthly pricing range for this SaaS product. Prices are normalized to monthly amounts where possible.
Data Warehouse & Data Lake Platforms
The category of this listing.
This platform facilitates the seamless ingestion and storage of data from various applications, ensuring a fast, reliable, and scalable solution for data management. Key features include over 1,000 connectors for diverse cloud and on-premises applications, automated pipeline management with alerts and retries, and robust data security that adheres to customer governance policies, making it ideal for businesses seeking efficient data integration and management solutions.
Pricing:
$250-$400/mo
The monthly pricing range for this SaaS product. Prices are normalized to monthly amounts where possible.
Data Warehouse & Data Lake Platforms
The category of this listing.
This data transformation platform accelerates the conversion of diverse data sources into fully transformed datasets by automatically generating SQL from Excel-style formulas or a no-code interface, while building modular, reusable models that follow best practices and deliver blazing performance with privacy-preserving processing. It addresses slow, error-prone data wrangling by offering a familiar SQL-based workflow, warehouse dialect-aware SQL generation, a 10-category library of Excel formulas, multi-agentic architecture for efficiency, and a clear, collaborative feedback loop, making it ideal for data engineers, analysts, developers, and analytics teams seeking scalable, automated, and transparent transformations.
Pricing:
$0-$60/mo
The monthly pricing range for this SaaS product. Prices are normalized to monthly amounts where possible.
Data Warehouse & Data Lake Platforms
The category of this listing.
A powerful framework facilitates both batch and streaming data processing, allowing users to develop data pipelines that can be executed across various environments without modification. Key features include a unified programming model for diverse data processing needs, extensibility for integration with other projects, and open-source community support, making it ideal for data engineers and organizations seeking efficient, scalable solutions for real-time analytics and data management challenges.
Data Warehouse & Data Lake Platforms
The category of this listing.
A data lakehouse platform designed for managing large-scale data storage and analytics, it combines the flexibility of data lakes with the reliability and transactional capabilities of data warehouses. Its main features include support for incremental and real-time data processing, ACID transactional guarantees, schema evolution, automated table management, and multimodal indexing to optimize query and write performance, thereby solving problems related to data consistency, latency, and scalability for big data environments. This solution is intended for data engineers, data scientists, and enterprise analytics teams seeking efficient, reliable, and flexible data management for complex, high-volume data processing workflows across multiple cloud providers and storage systems.
Data Warehouse & Data Lake Platforms
The category of this listing.
WarpStream
This SaaS is trending! We've detected monthly traffic growth.This is a self-hosted, cloud-native streaming data platform that runs in your own cloud environment or on premises, leveraging your compute and object storage to provide a diskless, scalable, cost-efficient data pipeline with zero local disks and no inter-region networking fees. It offers governance and quality controls via a schema registry with validation and linking, offset-preserving cross-region replication, real-time processing, automatic materialization of streams into lakehouse-style tables, fully managed data pipelines and integrations, a console user interface for administration, and stateless auto-scaling agents, addressing cost reduction, operational simplicity, data sovereignty, reliability, and faster analytics for developers, data engineers, data scientists, analytics teams, and security-focused enterprises seeking secure, scalable, low-latency streaming.
Pricing:
$0/mo
The monthly pricing range for this SaaS product. Prices are normalized to monthly amounts where possible.
Data Warehouse & Data Lake Platforms
The category of this listing.
This solution provides a live data layer that enables real-time insights into business operations by continuously integrating and transforming data from various sources using SQL. Key features include incremental computation for efficient updates, the ability to create live data products, and support for event-driven architectures, which collectively address challenges related to data freshness, scalability, and operational complexity, making it ideal for engineers and data teams seeking to enhance their applications and AI capabilities.
Pricing:
$1.5/mo
The monthly pricing range for this SaaS product. Prices are normalized to monthly amounts where possible.
Data Warehouse & Data Lake Platforms
The category of this listing.
Kylo is an open-source platform designed for managing data lakes, enabling users to easily ingest and prepare data while ensuring governance and security. It offers features like self-service data ingestion, visual data transformation, and integrated metadata management, making it suitable for organizations looking to enhance their data management processes.
Data Warehouse & Data Lake Platforms
The category of this listing.
This platform facilitates seamless data integration by allowing users to effortlessly synchronize and map data between various systems without the need for extensive configuration. Key features include a no-code visual mapping interface, support for multiple data connectors, privacy-focused self-hosting options, predictable subscription pricing, and reliable performance backed by years of customer satisfaction, making it ideal for organizations seeking efficient data management solutions.
Pricing:
$95.75-$383.25/mo
The monthly pricing range for this SaaS product. Prices are normalized to monthly amounts where possible.
Data Warehouse & Data Lake Platforms
The category of this listing.
* Some or all parts of this page may be AI generated, so please verify any critical information independently.
Frequently Asked Questions
How many Data Warehouse & Data Lake Platforms SaaS companies are there?
SaaS Browser tracks 815 Data Warehouse & Data Lake Platforms software products as of July 2026. 59 new Data Warehouse & Data Lake Platforms SaaS companies have been added in the past 30 days.
How many new Data Warehouse & Data Lake Platforms SaaS companies are added each month?
59 new Data Warehouse & Data Lake Platforms SaaS companies have been added to SaaS Browser in the past 30 days. Our proprietary crawling infrastructure continuously discovers new software products.
What are the most established Data Warehouse & Data Lake Platforms SaaS companies?
The most established Data Warehouse & Data Lake Platforms SaaS companies by domain authority include MongoDB Atlas, Databricks, Snowflake AI Data Cloud, Apache Kafka, Cloudera. These companies represent the highest domain rank scores in the Data Warehouse & Data Lake Platforms category.
What is the typical company size for Data Warehouse & Data Lake Platforms SaaS?
Among Data Warehouse & Data Lake Platforms SaaS companies with employee data, the size distribution is: - 16 (4.4%), - 20 (5.5%), - 85 (23.4%), - 242 (66.7%).
What is the median domain authority for Data Warehouse & Data Lake Platforms SaaS companies?
The median domain rank for Data Warehouse & Data Lake Platforms SaaS companies is 13, compared to an overall SaaS median of 8. These companies have a median of 6 referring domains.
Which countries have the most Data Warehouse & Data Lake Platforms SaaS companies?
The top countries for Data Warehouse & Data Lake Platforms SaaS are: United States (244), United Kingdom (27), India (26), Germany (20), Canada (15). These represent the largest concentrations of Data Warehouse & Data Lake Platforms software companies globally.
What percentage of Data Warehouse & Data Lake Platforms SaaS companies offer affiliate programs?
38 Data Warehouse & Data Lake Platforms SaaS companies offer affiliate programs, representing 4.7% of all Data Warehouse & Data Lake Platforms software tracked by SaaS Browser. The median commission rate is 20%.
What is the median age of Data Warehouse & Data Lake Platforms SaaS companies?
The median Data Warehouse & Data Lake Platforms SaaS company was founded 6.0 years ago, with a median founding year of 2020.
Are Data Warehouse & Data Lake Platforms SaaS companies mostly B2B or B2C?
Based on available data, Data Warehouse & Data Lake Platforms SaaS companies break down as follows: Both B2B & B2C (5.2%), Business (B2B) (94.8%).
What are the newest Data Warehouse & Data Lake Platforms SaaS companies?
The most recently discovered Data Warehouse & Data Lake Platforms SaaS companies include JoinLayer, EvoData, Dashflow, Renato Perez, Teracias. SaaS Browser continuously discovers and indexes new software products using proprietary crawling infrastructure.
About SaaS Browser
SaaS Browser is the largest, most up-to-date SaaS database on the internet, the ultimate prospecting and research tool for SaaS companies.
We discover emerging tools weeks after launch, before they appear in Apollo, ZoomInfo, or other databases. Our purpose-built platform exclusively tracks real software products with verified data, unlike generic prospecting tools polluted with agencies, consultancies, and outdated listings.
From Fortune 500 enterprises to bootstrapped startups launching this week, if it's SaaS, we track it.
How these numbers are calculated
- Total Software. The number of published SaaS companies currently listed for this selection. Only companies that pass our automated quality checks are counted.
- New (Past 30 Days). The net number of SaaS companies newly published for this selection in the last 30 days.
- Affiliate Programs. The number of listed SaaS companies that operate a verified affiliate or referral program.
- Median Age (Years). The median age, in years, of companies in this selection, based on founding year. The median is the middle value, so half are older and half younger.
- New (Past 365 Days). The number of SaaS companies published for this selection over the last 365 days.
- Churned (Past Year). Companies published within the last year that are no longer listed - they went offline, were removed, or stopped passing our quality checks.
- Annual Churn Rate. The annual churn rate - churned companies as a percentage of all companies published in the last year (still-listed plus churned).
- Free Trial. The percentage of listed companies in this selection that offer a free trial.
- Company Size Distribution. Distribution of companies by employee count: solo (1), small (2–50), mid (51–200), large (201–1,000), enterprise (1,000+). Percentages are of companies with employee data.
- Median Domain Rank. The median domain rank (0–100) across listed companies, a measure of search-engine authority. Higher is stronger. Shown against the overall median across all SaaS for comparison.
- Median Referring Domains. The median number of unique referring domains (distinct external sites linking to a company) across listed companies.
- Median Starting Price (USD). The median entry-level monthly price (USD) across companies in this selection with pricing data.
- Median High Price (USD). The median premium monthly price (USD) across companies in this selection with pricing data.
- Saturation Score. A 0–100 market saturation score combining total products, domain authority, referring domains, company age, traffic growth, pricing, and enterprise presence. Higher means more competitive.
- Median Commission. The median affiliate commission rate offered by companies in this selection that run an affiliate program.
- B2B / B2C Breakdown. Breakdown of companies by target market - business (B2B), consumer (B2C), or both - among those with consumer-type data.
