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Pricing

Simple, transparent pricing

Pay only for the users who access DQV and the data volume you process. Kumaran Systems is ISO 27001 & SOC 2 Type II certified.

All prices in USD, excluding applicable taxes
Free Trial
14-Day Free TrialNo credit card required
Individual
$21/mo
per user · billed monthly
Team
$32/mo
per user · billed monthly
Enterprise
$450/mo
per 10 users · billed monthly
Subscription
Talk to us
Cost per server instance billed annually (per 50 users)
Perpetual
Talk to us
Cost per server instance one-time payment (per 50 users)
Plan Limits
Named Users
Records / User / Month
Storage / User
Collaboration
Access & Security
Single Sign-On (SSO)
Encryption
Data Residency
Infrastructure
Deployment
Uptime SLA
Compliance
Software Updates
Release Cadence
Support
Support Tier
Volume Discounts / Customizations: For teams and deployments beyond standard tiers or to create a custom plan that best suits your needs at competitive rates - contact our sales team for a discussion.

Support Plans

All prices in USD, excluding applicable taxes
Features
Initial response time
Support hours
Ticket portal
Remote web assistance
Included in Plans
Upgrade Cost - Standard Plans · per user
Individual
Team
Upgrade Cost - Priority Plans · Premium add-on only
Enterprise (per 10 users)
On-Prem Subscription (per 50 users)
Upgrade Cost - On-Prem Perpetual · per instance · per year
On-Prem Perpetual (per 50 users) - Year 1
On-Prem Perpetual (per 50 users) - Year 2+
On-Prem Perpetual (per 50 users): Priority Support is included for Year 1 only. From Year 2 onwards, Priority Support renewal is charged. If Premium Support is purchased, premium renewal is charged instead of priority support cost. Enhancements are charged at cost from day 1, separate from the support plan. Annual support upgrade figures reflect actual ×11 month values and are not rounded.
FAQs

Pricing questions answered

Quick answers to billing, quotas, licences, and support. Don't see yours? Reach out and we'll get back to you.

Your trial data (the workflows; not the results) is preserved for 7 days after expiry. You can upgrade to any paid plan at any time to continue without interruption. If you do not upgrade, your account and data will be removed after the grace period.
Yes. Annual plans are billed in full at the start of each subscription year. You save the equivalent of 1 month compared to paying monthly. Annual plans are non-refundable once the billing cycle begins.
Record quotas are measured on a monthly basis and reset on the 1st of every month. If you subscribe mid-month, your first billing period runs to the end of that month, after which the full monthly allowance applies from the 1st.

DQV enforces a hard stop when your monthly record quota is reached - no additional records will be processed until the quota resets on the 1st of the following month, or until you purchase a record add-on pack. Add-on packs can be purchased at any time by any plan and take effect immediately, allowing processing to resume without waiting for the next billing cycle.

Need Overage of Limts instead of hard-stop? Please talk to sales.

DQV measures record usage based on the volume of data read from and written to your sources and destinations during each workflow / suite execution. Only data source read / write components are counted - the data entering and leaving DQV - not any intermediate processing steps such as transformations, sorting, or in-memory comparisons.

The following contribute to your record count:

  • Readers - records read from any source: files, databases, APIs, or message queues, used when validating data, migrating, comparing or for masking
  • Writers & Error Writers - records written to any destination or error output, used when migrating, writing masked data, or dring synthetic data generation, or when failed records are preserved
  • Result Writers - records written to the results store; used when comparing (e.g. matched, mismatched, and orphan records), or when validating data

For example:

  • Comparing two data sources where Source A has 100K records and Source B has 50K, producing 40K matched, 5K mismatched, 55K left orphans, and 5K right orphans - the total counted is 255K records.
  • Similarly, a migration workflow or suite that reads 50K records and writes 5K after filtering counts as 55K records - only the source read and final write are measured.

Record counts accumulate throughout the monthly billing period and are not reduced when results are deleted.

DQV measures storage used when the results are stored in the DQV when the user wants to view the results of execution in the DQV web. It includes the log files generated during the execution of workflows and suites. This requires storage volume and incurs cost. The data is stored in DQV server when comparing data sources, validating a data set, and when viewing the error records in the web. Note that user can opt to store these information in the local disk, instead of sending the data to the DQV server. Storage reflects your current footprint and decreases as results and logs are purged.
"Per user" refers to active named licensed seats. Record and storage quotas are pooled across all licensed seats on Team and Enterprise plans. For example, an Enterprise plan with 10 licensed users has a pooled monthly quota of 500M records (50M × 10 users).
It is always a possibility that a user may leave the team or out of office for a long time, and it should not stop your work. We offer adding a new user to your team provided the previous user is deactivated. At any time, there should not be more than the designated active users available in the system.
Services

Data Quality Work Shouldn't Compete With Your Core Priorities

Let Your Team Focus on the Business. Let Us Handle the Data Quality Work.

Every data quality initiative - new rule design, validation pipelines, exception handling, ongoing monitoring - takes real, specialized effort. For most organizations, that effort competes directly with the core business work your team is actually there to do. Something usually gives, and it's often the data quality backlog.

Kumaran's answer: bring in the specialists, keep your team where they belong.

Our DQV experts work as a direct extension of your organization, taking ownership of the implementation and ongoing execution of your data quality initiatives - at an agreed cost, on an agreed timeline - while your core team stays focused on the business priorities only they can drive.

What you get?

★

Hands-on DQV implementation

Rule design, validation logic, deployment, and tuning handled by people who already know the platform.

⚙

Ongoing operational support

Ready to take on monitoring, exception triage, and remediation workflows as your program matures.

$

Agreed, predictable cost

A defined scope and cost structure - not an open-ended staffing commitment.

⇄

Flexible engagement

Scale the team up for a major rollout, or keep a lighter footprint for steady-state operation.

⚡

Faster time to value

Specialists who don't need ramp-up time on the platform - they already know it.

How it works?

1

Scope the work

We define the data quality work you need executed - a new implementation, a backlog of rules, ongoing operations, or all three.

2

Agree the terms

Team size, cost, and timeline are agreed upfront - no open-ended surprises.

3

We execute

Our DQV specialists do the work, reporting into your priorities and cadence.

4

Your team stays focused

Core business functions keep the attention they deserve, without the data quality backlog pulling people away.

Let's Talk

Ready to offload the data quality workload?

Tell us what your team needs, and we'll bring the people to deliver it.