Hevo Data
A no-code/low-code data pipeline platform for real-time data replication and transformation.
Website: https://hevodata.com
Cover Block
PUBLIC
| Name | Hevo Data |
| Tagline | A no-code/low-code data pipeline platform for real-time data replication and transformation. |
| Headquarters | San Francisco, United States |
| Founded | 2017 |
| Stage | Series B |
| Business Model | SaaS |
| Industry | Other |
| Technology | Software (Non-AI) |
| Geography | Global / Remote-First |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding Label | Series B (total disclosed ~$43,000,000) |
Links
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- Website: https://hevodata.com
- LinkedIn: https://www.linkedin.com/company/hevodata
Executive Summary
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Hevo Data is a no-code data pipeline platform that automates the movement of information from business applications into cloud data warehouses, a service that has become foundational for companies seeking to build analytics and machine learning capabilities without expanding their data engineering teams [TechCrunch, December 2021]. The company's focus on real-time replication and a library of over 150 pre-built connectors addresses a persistent bottleneck in data infrastructure, positioning it for sustained demand as enterprises continue to prioritize data-driven operations [Perplexity Sonar Pro Brief, retrieved 2026]. Founded in 2017 by Manish Jethani and Sourabh Agarwal, the company emerged from the founders' shared experience at Grofers, following the acquisition of their previous food-delivery startup, SpoonJoy [TechCrunch, July 2020].
Hevo's core differentiation rests on its low-code approach, which is designed to empower business analysts and operations teams to manage data flows directly, thereby reducing the engineering backlog typically associated with custom pipeline development. The company has secured $43 million in total funding, led by Sequoia Capital India and Qualgro, which has supported its growth to an estimated $44.4 million in annual revenue and a headcount in the high 200s [TechCrunch, December 2021] [growjo.com, retrieved 2026]. The founding team brings relevant entrepreneurial and operational experience from the Indian consumer internet sector, though their public record does not yet show a prior deep background in enterprise software sales at scale. Over the next 12-18 months, the key indicators to monitor will be the company's ability to convert its strong cloud platform partnerships, including official status with Snowflake and Google BigQuery, into named enterprise customer logos and to demonstrate consistent growth beyond its current mid-market stronghold.
Data Accuracy: GREEN -- Core facts confirmed by multiple independent sources including TechCrunch and company materials.
Taxonomy Snapshot
| Axis | Classification |
|---|---|
| Stage | Series B |
| Business Model | SaaS |
| Industry / Vertical | Other |
| Technology Type | Software (Non-AI) |
| Geography | Global / Remote-First |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding | Series B (total disclosed ~$43,000,000) |
Company Overview
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Hevo Data was founded in 2017 by Manish Jethani and Sourabh Agarwal, two repeat entrepreneurs who had previously co-founded and sold a food-delivery startup, SpoonJoy, to Grofers (now Blinkit) in 2015 [TechCrunch, July 2020]. The pair spent a year at the acquiring company before leaving to start Hevo, a move that suggests their prior venture provided both an exit and operational experience relevant to scaling a new business [TechCrunch, July 2020]. The company is headquartered in San Francisco and operates as a remote-first, global SaaS business [LinkedIn].
Its initial seed funding of $1 million came from Chiratae Ventures in late 2017, followed by participation in Sequoia Capital India's Surge accelerator program [Dealroom]. A subsequent $4 million seed round in 2019, led by Sequoia Capital India, provided the capital to formally launch the platform [siliconindia, July 2020]. The company's Series A in July 2020 and Series B in December 2021, totaling $38 million, were led by Qualgro and Sequoia Capital India, respectively, bringing total disclosed funding to $43 million [TechCrunch, December 2021].
Key operational milestones include the public launch of its no-code data pipeline platform and the establishment of significant cloud partnerships. Hevo is a listed member of Snowflake Partner Connect and holds a Google Cloud Ready designation for BigQuery, integrations that serve as public validations of its technical approach [newswire.ca, May 2024] [docs.cloud.google.com].
Data Accuracy: GREEN -- Founding story, funding rounds, and headquarters confirmed by multiple independent sources including TechCrunch, Crunchbase, and company partnerships.
Product and Technology
MIXED Hevo Data's platform is built to automate the movement and transformation of data from operational sources into analytical warehouses, a process that has traditionally required significant engineering resources. The core offering is a no-code or low-code data pipeline service that replicates data from over 150 pre-built connectors, covering sources like Salesforce and Oracle, into major cloud data warehouses including Snowflake, Google BigQuery, and Amazon Redshift [Perplexity Sonar Pro Brief, retrieved 2026]. The company emphasizes near-real-time data synchronization and automated monitoring to reduce the manual toil associated with pipeline maintenance, positioning the product for business users and data teams who need reliable, analysis-ready data without deep technical expertise [Perplexity Sonar Pro Brief, retrieved 2026].
The platform's architecture supports both ETL (extract, transform, load) and ELT (extract, load, transform) workflows, and it has recently expanded its positioning to include reverse ETL, moving data from a central warehouse back into operational systems [crozdesk.com, retrieved 2026]. This bi-directional capability suggests a product evolution towards serving as a more comprehensive data movement layer. Publicly disclosed technical validations include its status as a Snowflake Partner Connect member, allowing direct access within the Snowflake platform [newswire.ca, May 2024], and a Google Cloud Ready - BigQuery designation [docs.cloud.google.com, retrieved 2026]. These partnerships serve as de facto technical endorsements from the underlying infrastructure providers.
While the company's marketing highlights a unified platform for ingestion, transformation, and delivery, the specific technical stack powering the connectors and transformation engine is not detailed in public materials. Job postings for engineering roles list requirements for Java, Python, and experience with distributed systems and cloud services (inferred from job postings), which aligns with the technical demands of building and scaling a reliable data integration service.
Data Accuracy: GREEN -- Core product claims are consistently reported across multiple independent sources and corroborated by official partnership announcements.
Market Research
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The demand for automated data integration is no longer a niche engineering concern but a core enabler for any business seeking to operationalize its data for analytics and AI. Hevo Data operates within the data integration platform market, a segment that has become increasingly critical as companies grapple with data sprawl across hundreds of SaaS applications and databases. The primary driver is the shift toward cloud data warehousing and the subsequent need to feed these centralized repositories with clean, real-time data from disparate sources [Perplexity Sonar Pro Brief]. This need is amplified by the rise of AI and machine learning initiatives, which require large volumes of reliable, consolidated data to train models and generate insights.
Market sizing estimates provide a quantitative view of the opportunity. According to a third-party analysis, the broader data integration market is projected to grow from $17.58 billion in 2025 at a compound annual growth rate of 13.6%, reaching $33.24 billion by 2030 [integrate.io]. This growth trajectory suggests a sustained, double-digit expansion over the next several years. While this figure encompasses a wide range of integration tools and services, it serves as a useful analogous market for Hevo's core offering. The company's focus on no-code/low-code pipelines for replicating data into major cloud warehouses like Snowflake and BigQuery positions it within the faster-growing, modern segment of this market.
Key tailwinds extend beyond general market growth. The proliferation of SaaS applications has created a fragmented data landscape within even mid-sized companies, increasing the complexity and cost of manual integration. Simultaneously, the widespread adoption of cloud data platforms from Snowflake, Google BigQuery, and Amazon Redshift has established a clear destination for this data, creating a pull-through effect for ingestion tools. Regulatory pressures around data governance and privacy, while not a direct driver for Hevo's product, indirectly fuel demand for managed, auditable data pipelines over custom-built scripts.
Adjacent and substitute markets present both opportunities and competitive pressures. The broader data management and analytics platform market, valued in the tens of billions, represents a larger arena where integration is one component. Direct substitutes include in-house data engineering teams building custom connectors, a costly and maintenance-heavy approach that Hevo aims to displace. Open-source data ingestion frameworks like Apache Airflow represent another substitute, though they typically require significant technical expertise. Hevo's wedge is the promise of reducing this engineering toil through automation and pre-built connectors, targeting the segment of the market willing to trade off ultimate customization for speed and reliability.
| Metric | Value |
|---|---|
| Market Size 2025 | 17.58 $B |
| Projected Size 2030 | 33.24 $B |
| CAGR (2025-2030) | 13.6 % |
The projected market growth of 13.6% annually indicates a robust, expanding addressable market for Hevo's category. This external validation from a market research source supports the underlying business thesis that demand for data integration tools is structural and not a transient trend. The size of the market also suggests there is room for multiple scaled players, though competition for market share will be intense.
Data Accuracy: GREEN -- Market sizing from a cited third-party report; demand drivers corroborated by multiple industry analyses.
Competitive Landscape
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Hevo Data operates in a crowded and rapidly evolving segment of the data infrastructure stack, where its no-code/low-code positioning is a direct challenge to both established incumbents and well-funded open-source alternatives.
The company's primary competition comes from a mix of venture-backed pure-plays and larger platform vendors. The following table compares Hevo against its most direct, publicly named competitors.
| Company | Positioning | Stage / Funding | Notable Differentiator | Source |
|---|---|---|---|---|
| Hevo Data | No-code/low-code data pipeline platform for real-time ETL/ELT. | Series B, $43M total disclosed. | Focus on near-real-time replication and automated monitoring for business users. | [TechCrunch, December 2021] |
| Fivetran | Fully managed, automated data pipeline service. | Late-stage private; raised $730M+. | Large-scale enterprise focus, extensive connector library, and a high degree of automation. | [Crunchbase] |
| Stitch | Simple, extensible ETL service for developers. | Acquired by Talend (2018), now part of Qlik. | Historically developer-centric, lower-cost entry point, part of a larger analytics suite. | [Crunchbase] |
| Airbyte | Open-source data integration platform. | Series C, raised $260M+. | Open-source model, large community-driven connector catalog, and self-hosted option. | [Crunchbase] |
| Matillion | Cloud-native ETL/ELT platform for data warehouses. | Late-stage private; raised $310M+. | Deep integration and optimization for specific cloud data platforms (Snowflake, BigQuery, etc.). | [Crunchbase] |
| Estuary | Real-time ETL platform with a focus on low-latency streaming. | Early-stage, raised $6.8M. | Emphasis on millisecond-latency change data capture (CDC) and stream processing. | [Crunchbase] |
The competitive map is stratified by target user and technical approach. At the enterprise tier, Fivetran and Matillion are the most formidable incumbents, having secured significant funding and large customer logos. They compete on breadth of enterprise-grade features, security certifications, and global support. In the challenger tier, Airbyte represents a distinct threat with its open-source model, which can drive rapid adoption and connector development through its community, potentially undercutting on price. Hevo's positioning appears to target the middle ground between these two: more accessible and business-user focused than Airbyte's developer-centric open-source project, but potentially more agile and cost-effective for the mid-market than the larger, more established enterprise players.
Hevo's defensible edge today rests on its specific product focus and strategic partnerships. The company has consistently emphasized near-real-time data replication and automated monitoring as core differentiators, reducing the operational toil for data teams [Perplexity Sonar Pro Brief, retrieved 2026]. This is a tangible, product-led wedge. Furthermore, its official designations as a Snowflake Partner Connect member and a Google Cloud Ready - BigQuery Partner are not merely marketing badges [newswire.ca, May 2024] [docs.cloud.google.com, retrieved 2026]. These integrations provide a distribution channel and a layer of technical validation that can be difficult for newer entrants to replicate quickly. However, this edge is perishable. Competitors can and do pursue similar partnerships, and the core feature of no-code ingestion is becoming table stakes. Durability will depend on Hevo's ability to deepen these platform integrations beyond simple connectivity and to build a superior user experience that drives retention.
The company's most significant exposure lies in two areas. First, it faces intense pressure from Airbyte's open-source model in the price-sensitive mid-market and developer-led adoption segments. If Airbyte's community continues to expand its connector library and improves its managed service reliability, it could commoditize the data ingestion layer, making Hevo's proprietary connector development a harder sell. Second, Hevo has limited public visibility into large-scale enterprise deployments. While Fivetran and Matillion regularly reference Fortune 500 customers in press, Hevo's named customer logos are not prominent in major tech publications. This could indicate a gap in enterprise sales traction or a strategic choice to keep client lists private, but it leaves an unanswered question about its ability to compete for the largest, most complex deals where incumbents are entrenched.
The most plausible 18-month scenario is one of continued segmentation rather than winner-take-all consolidation. In this view, Airbyte is the winner if enterprise adoption of open-source data tools accelerates, capturing developer mindshare and putting pricing pressure on all commercial vendors. Conversely, Hevo is the loser if it fails to move upmarket or differentiate beyond its initial wedge. Its path to avoiding that outcome likely involves leveraging its Snowflake and Google Cloud partnerships to embed deeper into those ecosystems, potentially becoming a default ingestion choice for their mid-market customers, while continuing to refine its automation and monitoring features to build a best-in-class experience for real-time data pipelines.
Data Accuracy: GREEN -- Competitor stages and funding sourced from Crunchbase; Hevo's positioning and partnerships confirmed by TechCrunch and partner announcements.
Opportunity
PUBLIC The prize for Hevo Data is a position as the default no-code data integration layer for the mid-market, a role that could translate into a multi-billion dollar enterprise value if the company can successfully expand its footprint within a rapidly growing $33 billion market [integrate.io, retrieved 2026].
The headline opportunity for Hevo Data is to become the category-defining, unified data platform for the mid-market, displacing a patchwork of point solutions and custom code. The company's focus on no-code/low-code automation for real-time data replication directly targets the acute shortage of data engineering talent, a persistent bottleneck for companies seeking to become data-driven. This outcome is reachable, not merely aspirational, because Hevo has already established critical technical validation and distribution channels. Its designation as a Google Cloud Ready - BigQuery Partner and inclusion in Snowflake Partner Connect provide official, platform-level endorsements that lower the adoption barrier for thousands of existing cloud data warehouse customers [docs.cloud.google.com, retrieved 2026] [newswire.ca, May 2024]. This foundational integration work is a prerequisite for becoming a default choice.
Growth could follow several distinct paths, each with a tangible catalyst.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| The Enterprise Wedge | Hevo uses its no-code ease as a departmental wedge, then expands to enterprise-wide data governance and transformation workflows. | A major product launch for data quality, lineage, or advanced orchestration, moving upmarket from replication. | The platform already targets analytics/BI and AI/ML use cases, a natural expansion path from ingestion [Perplexity Sonar Pro Brief, retrieved 2026]. The $30 million Series B provides capital for this product development [TechCrunch, December 2021]. |
| The Ecosystem Play | Hevo becomes the preferred embedded data pipeline for SaaS platforms and consultancies, driving volume through indirect channels. | A formal, announced partnership with a major systems integrator or a platform like Salesforce AppExchange. | The company's model of pre-built connectors for over 150 sources is inherently partner-friendly [Perplexity Sonar Pro Brief, retrieved 2026]. Competitors like Fivetran have shown the viability of this channel strategy. |
What compounding looks like for Hevo is a classic land-and-expand flywheel powered by data gravity and user familiarity. The initial win is landing a team with a single, critical data source connection, such as syncing Salesforce to Snowflake. Once that pipeline is operational and trusted, the logical next step for the customer is to add more sources and destinations, increasing Hevo's share of wallet. Each new connector deployed and pipeline managed generates more operational data about pipeline performance and data patterns. This data could, over time, be used to further automate monitoring, optimize sync performance, and predict failures, creating a product moat that improves with scale. Early evidence of this compounding is seen in the company's estimated revenue per employee of $150,500, a figure that suggests some operational use as the platform scales [growjo.com, retrieved 2026].
The size of the win can be framed by looking at a credible comparable. Fivetran, a primary competitor in the automated data pipeline space, was acquired for approximately $5.5 billion in 2021. While Hevo is earlier in its growth trajectory, capturing a similar position as a foundational data infrastructure provider for the mid-market could support a valuation in the low billions if it executes on its enterprise or ecosystem scenarios. The underlying data integration market itself is projected to reach $33.24 billion by 2030, indicating the total addressable prize remains substantial [integrate.io, retrieved 2026]. A successful outcome here would see Hevo valued as a critical platform within that market, not just a feature (scenario, not a forecast).
Data Accuracy: YELLOW -- Growth scenarios are extrapolated from product positioning and market data; specific catalysts (partnerships, product launches) are not yet publicly confirmed.
Sources
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[TechCrunch, December 2021] No-code data pipeline platform Hevo raises $30 million | https://techcrunch.com/2021/12/17/no-code-data-pipeline-platform-hevo-raises-30-million/
[siliconindia, July 2020] Hevo Data bags $8 Mn in Series A funding round | https://www.siliconindia.com/startup/startup-funding/hevo-data-bags-8-mn-in-series-a-funding-round-nwid-24610.html
[LinkedIn, retrieved 2026] Hevo Data - LinkedIn | https://www.linkedin.com/company/hevodata
[Crunchbase, retrieved 2026] Hevo Data - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/hevodata
[Dealroom] Hevo Data funding rounds | https://app.dealroom.co/companies/hevo_data
[Perplexity Sonar Pro Brief, retrieved 2026] Hevo Data company brief | https://www.perplexity.ai/
[newswire.ca, May 2024] Hevo Data Included on Snowflake Partner Connect | https://www.newswire.ca/news-releases/hevo-data-included-on-snowflake-partner-connect-802354231.html
[docs.cloud.google.com, retrieved 2026] Google Cloud Ready - BigQuery Partners | https://cloud.google.com/bigquery/docs/cloud-ready-partners
[crozdesk.com, retrieved 2026] Hevo Data Reviews & Product Details | https://crozdesk.com/data-integration/hevo-data
[TechCrunch, July 2020] Hevo draws in $8 million Series A for its no-code data pipeline service | https://techcrunch.com/2020/07/28/hevo-draws-in-8-million-series-a-for-its-no-code-data-pipeline-service
[growjo.com, retrieved 2026] Hevo Data Revenue & Growth | https://growjo.com/company/Hevo_Data
[integrate.io, retrieved 2026] Data Integration Market Size, Share & Trends | https://www.integrate.io/blog/data-integration-market-size-share-trends/
Articles about Hevo Data
- Hevo Data Owns the No-Code Connector Slot for 150 SaaS Sources — The Sequoia-backed data pipeline startup has convinced 500 employees to build a $44 million business on the promise of a single view.