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


    Database Software

    ServiceNow is a provider of cloud-based services that automate enterprise information technology operations. The company develops, implements and supports a suite of on-demand information technology service management products offered via the internet and






    Database Software

  2. 02


    Database Software

    Teradata Corporation is a provider of database and analytics-related software, products, and services.




    Database Software

  3. 03
    CA Technologies

    CA Technologies

    Database Software

    CA Technologies' business CA Arcserve is a provider of data protection software services. The business enables mid-market, SMB and enterprises to backup, replicate and recover data. Its main product is Unified Data Protection.




    Database Software

  4. 04


    Database Software

    NeoXam is a provider of financial-service software products. It provides asset management and capital markets firms with cost-efficient, proven and mission-critical solutions. The company offers NX GP3, an investment accounting solution for banks, fund adm





    Database Software

  5. 05


    Database Software

    InfluxData is building the platform for collecting, storing, visualizing, and processing time series...





    Database Software

  6. 06


    Database Software

    MariaDB is a community-developed, commercially supported fork of the MySQL relational database management system, intended to remain free and open-source software under the GNU General Public License.





    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.