The Top Database Software SaaS Companies

As of Jan 2020, these 99 SaaS companies are the largest in the Database Software space. (Click to apply)

This list tracks the largest private B2B Database Software SaaS companies by revenue. In total, this list features 99 companies with combined revenues of $7.1B.

These companies have raised a total of $0.0. Together, these Database Software saas companies serve 16K customers and employ over 27K on their teams.

$0 - $1M ARR
  1. Ecometrica $914.0K
  2. SalesTarget $854.0K
  3. Ninox $845.5K
  4. Signol $775.2K
$1M - $5M ARR
  1. Codewise $4.3M
  2. Liquibase $3.8M
  3. Cogniteev $3.7M
$5M - $10M ARR
  1. Ansarada $7.8M
  2. assetic $7.8M
  3. PingCAP $7.6M
$10M+ ARR
  1. Teradata $2.3B
  2. Neoxam $38.1M
  3. InfluxData $17.3M
  1. 01
    Elynx Technologies

    Elynx Technologies

    Database Software

    Provider of data collection, data capture, based software, and global network. The company operates within the industries of database software, systems and information management, and other it services.

    $4M

    52

    1998

    Database Software

  2. 02
    Codewise

    Codewise

    Database Software

    Developer of smart traffic and tracking tools. The company's smart traffic and tracking tools include performance traffic exchange, app development and related tools and technology that are changing the way the industry thinks about marketing technology.

    $4M

    $1M

    159

    2011

    Database Software

  3. 03
    Liquibase

    Liquibase

    Database Software

    Developer of database release automation platform designed to improve and simplify the application release process. The company's platform removes database deployments as a barrier and eliminates the security vulnerabilities, errors, data loss and downtime

    $4M

    $27M

    52

    2012

    Database Software

  4. 04
    Mintec Global

    Mintec Global

    Database Software

    The company's cloud-based SaaS platform aggregates over 10,000 data series on raw commodity prices and releases over 1 million data points each year along with an extensive analytics tool-set on a subscription basis to food retailers, food manufacturers an

    $4M

    81

    1982

    Database Software

  5. 05
    Cogniteev

    Cogniteev

    Database Software

    Developer of a website analyzing platform designed to offer personalized web search tools. The company's platform helps users to connect with all personal cloud services and search information like Docido, an enterprise-search service for clouds and Oncraw

    $4M

    53

    2013

    Database Software

  6. 06
    ThirdPartyTrust

    ThirdPartyTrust

    Database Software

    Provider of a cloud-based vendor management platform. The company's cloud-based platform enables measurement and monitoring of vendor risk and cyber threats through security audits, insurance certificates and compliance documentation.

    $4M

    44

    2014

    Database Software

  7. 07
    Viathan Corporation

    Viathan Corporation

    Database Software

    Developer of technology that helps companies manage data. The company's storage virtualization software provides data management platforms for use by companies and e-commerce vendors alike.

    $4M

    $17M

    81

    1999

    Database Software

  8. 08
    VETRO FiberMap

    VETRO FiberMap

    Database Software

    VETRO FiberMap® is an innovative Fiber Management Platform designed specifically to meet the needs of competitive ISPs, design engineers, and community fiber networks. Now you can access and manage all of your critical outside plant GIS data in one place.

    $3M

    38

    2008

    Database Software

  9. 09
    Device Magic

    Device Magic

    Database Software

    Developer of software application for mobile. The company develops an application which creates and distributes mobile forms to teams and devices and saves the hassle of paper work.

    $3M

    37

    2010

    Database Software

  10. 10
    Flex Databases

    Flex Databases

    Database Software

    Developer of a workflow management software designed to manage functions related to clinical trials. The company's cloud-based workforce management software integrated with learning management system processes and stores clinical trials specific data inclu

    $3M

    60

    1997

    Database Software

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What are the fastest growing companies doing?

83 of the fastest growing companies that also have the most revenue have a clear expansion revenue strategy. On average, sales reps are selling plans where starting contract value is $4,606.

Those same companies employ 1,678 sales reps that carry a quota. The most common compensation plan used by these companies is a 1:5 ratio of sales rep on target earnings (OTE) to quota. Meaning if a rep can earn $200k in base and commissions, quota target for that year is set at 5x, or $1m in new ARR closed.

If you’re going to build a high growth SaaS company, you need to figure out how to scale with quota carrying sales reps.

Which CEO’s are the most efficient capital allocators?

We can measure this a variety of ways. Which company has the most revenue per employee? What about dollars in revenue compared to dollars raised? What about time, which founder went from $0 to $10m the fastest?

Looking deeper at dollars in revenue compared to dollars raised, bootstrappers take the cake because they self fund (denominator zero). When we look at companies that have raised at least $1m, Actito is the clear winner generating $21m in revenue, growing 100% yoy, on just 1m raised ($.05 dollars raised for every $1 of revenue).

Omnisend comes in a close second with $.08 dollars raised for every dollar of revenue. Doing $19m as of December 2020. Proposify gets honorable mention with $0.46 dollars raised (3.25m) for every dollar of revenue ($7m).

The worst performers here are companies like YayPay with $3.68 dollars raised ($14m) per dollar of revenue ($3.8m). Many of the worst performers just did a round of funding and haven’t had a chance to deploy to drive growth yet. That makes this data less valuable but still illustrative.