9 Best Synthetic Data Software 2023

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The time period artificial information refers to artificially generated information that imitates precise or actual information. As the definition suggests, artificial information is commonly utilized in synthetic intelligence functions.
Why is artificial information necessary? Approximately 328.77 million terabytes of knowledge are created every day. There are limits to what and the way you should utilize this huge quantity of knowledge with out breaking compliance legal guidelines or compromising privateness.
By utilizing artificial information, organizations can overcome the challenges of knowledge entry, information sharing, and information privateness and might nonetheless carry out important duties that depend upon real-world information. Moreover, artificial information helps organizations overcome information shortage points, particularly when there’s a restricted quantity of precise information out there for evaluation or AI mannequin coaching.
Read on to be taught extra about the perfect artificial information software program, together with their pricing, options, professionals and cons, integration and extra.
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Top Synthetic Data Software: Comparison Chart

Best for
Data Customization
Data masking
Starting worth

MOSTLY AI Synthetic Data Platform
Ease of use
$3 per credit score

Small and medium companies
Custom quotes

Test information administration (testers)
$55,000 per yr

Custom quotes

Financial providers
Custom quotes

ML coaching
Custom quotes

Data analyst and machine studying engineer
$720 per thirty days, billed yearly or $800 per thirty days, billed month-to-month

Testing and improvement use instances
Custom quotes

CA Test Data Manager
Complex information technology
Custom quotes

Top 9 Synthetic Data Software

MOSTLY AI Synthetic Data Platform: Best for ease of use
Overall score: 4.55

Cost: 5
Feature Set: 5
Ease of Use: 5
Tools: 5
Support: 2

We included MOSTLY AI for its versatility and complete options. This versatility allowed us to generate lifelike and various datasets for quite a lot of use instances.
The MOSTLY AI artificial information platform permits enterprises throughout industries to generate high-quality, privacy-preserving artificial information. Those within the banking, telecommunication, healthcare and insurance coverage can use MOSTLY AI to generate artificial information for numerous use instances corresponding to information anonymization, synthetic intelligence and machine studying improvement, testing and product improvement, and cross-border and enterprise information sharing.
To be taught in regards to the device, I created a free account, which took me lower than two minutes to enroll. After signing up, I didn’t have information to add so I chosen one of many three pattern information out there (Bank Marketing) and proceeded to generate artificial information primarily based on that pattern.
MOSTLY AI artificial information QA report view.

Free perpetually plan: Allows you to generate as much as 100K rows per day.
Team: $3 per credit score.
Enterprise: $5 per credit score.

The precise worth you’ll pay per thirty days is dependent upon the variety of information topics (rows), information factors per topic (columns) and creators (customers). For occasion, a “workforce plan” person with 1 creator, 100 information factors per topic, and 100,000 information topics can pay $1,860 per thirty days or $22,320 per yr, whereas an “enterprise plan” person with the 1same function can pay $3,100 per thirty days or $37,200 per yr.
Key options

Time-series help.
Support for various information varieties – MOSTLY AI works with numerous structured information: numerical, categorical, and date-time variables.
Data rebalancing for information exploration.
Deployment through Kubernetes or OpenShift.


Users say the free plan is feature-rich.
The platform is simple to be taught and use.


Dedicated help is restricted to enterprise plan customers.
Users says the UI components might be improved.

MOSTLY AI integrations
You can join MOSTLY AI with numerous third-party instruments, together with:

Amazon Web Services (AWS)
Microsoft Azure
Google Cloud Platform
Oracle Cloud Infrastructure
SQL Server
Maria DB

Also see: Best Artificial Intelligence Software

Syntho: Best for small and medium companies
Overall score: 3.28

Cost: 0
Feature Set: 5
Ease of Use: 4.5
Tools: 5
Support: 1

Our analysis discovered that Syntho’s artificial information can be utilized for information evaluation as if it’s actual information, and the outcomes shall be almost an identical to evaluation outcomes on the unique information.
Syntho is an Amsterdam primarily based startup based in 2020 that AI-Generated Synthetic information for public organizations, healthcare and finance industries. This artificial information can be utilized by organizations for coaching machine studying fashions, testing functions, and conducting information evaluation with out compromising privateness or safety.
You can deploy Syntho on-premise, any (non-public) cloud and Syntho cloud. You can even run the Syntho Engine as a Docker container or python bundle in your safe IT surroundings. To do that there are some minimal {hardware} and software program necessities that you need to meet.
PII discovery and technology.
Minimum {hardware} necessities

32 GB of RAM
8 digital CPUs
‘Sufficient’ storage for the info

Minimum software program necessities

Docker Compose Deployment

Docker: 1.13.0+
Docker-compose: V3 and better

Kubernetes Deployment (various)

Kubernetes: 1.20 and better
helm: v3 and better

Syntho provides three pricing plans: Basic, customary and supreme. However, the seller requires consumers to contact them for quotes. Pricing is dependent upon the scale of your database and your most well-liked plan.
Key options

Support time sequence information and longitudinal information.
On-premise and personal cloud integration.
PII discovery and technology.
Auto-scaling through Ray & Kubernetes.


Advanced subsetting functionality.
Its self-service functionality and easy-to-use interface make it accessible to customers of all ability ranges.
Role-based entry management (RBAC).


Lacks free plan and pricing transparency.
Some customers reported that it doesn’t infer the connection between databases.

Syntho integrations
Syntho integrates with numerous databases and filesystems.

Postgre SQL
Microsoft SQL Server
Amazon S3

GenRocket: Best for take a look at information administration (testers)
Overall score: 2.43

Cost: 0.65
Feature Set: 3.75
Ease of Use: 1.5
Tools: 2
Support: 2

We chosen GenRocket as a result of it permits builders and testers to generate information units with particular traits, codecs, and constructions required for testing totally different situations. This accelerates the testing course of and improves the general high quality of software program functions.
GenRocket is a software program firm that makes a speciality of take a look at information technology. It offers a platform that enables customers to create and handle lifelike and customizable take a look at information for software program testing and improvement functions. The generated information can be utilized for numerous kinds of testing, together with useful, efficiency, and safety testing. GenRocket additionally provides further options, corresponding to information masking and subsetting, to make sure information privateness and compliance.
GenRocket has a four-step methodology that permits testers to work independently to provision their very own information on demand.
GenRocket mission dashboard.

Model – the info to be generated throughout testing.
Design – the variability and quantity of knowledge for testing.
Deploy – take a look at information instances right into a take a look at surroundings.
Manage – take a look at information initiatives in a shared repository.

GenRocket provide three pricing plans.

Growth: $55,000 per yr. Includes 20 take a look at information initiatives.
Business: Quotes out there on request. Includes 40 take a look at information initiatives.
Advanced: Quotes out there on request. Includes 80 take a look at information initiatives.

Key options

Offers a library of 730+ information turbines.
Has a library of 101+ information codecs.
Data subsetting and masking.
Support numerous take a look at use instances, together with lifelike information, unfavourable information, information for complicated workflows, machine studying information and X12 EDI transaction information.


Self-service take a look at information portal.
Can be built-in into your CI/CD launch pipeline.
User applauds GenRocket technical help.


Add-on price further payment.
Steep studying curve.

GenRocket integrations
Some of the highest instruments GenRocket integrates with embody:

Azure DevOps

Also see: 100+ Top AI Companies

Tonic.ai: Best for builders
Overall score: 3.93

Cost: 1
Feature Set: 5
Ease of Use: 4.5
Tools: 5
Support: 4

We chosen Tonic.ai for its superior capabilities in producing privacy-conscious artificial information. Although it requires you to speculate time to be taught and implement the platform, we discovered Tonic.ai’s capability to protect relationships, consistency and complicated constructions within the information is especially precious.
Tonic.ai’s artificial information platform equips builders with the instruments they should generate “faux information” that intently resemble actual information. The platform permits builders to create lifelike take a look at information primarily based in your group’s information, preserving important relationships and sustaining input-to-output consistency throughout tables and databases. Tonic.ai is suited to builders and information scientists in finance, ed-tech, insurance coverage, retail and healthcare.
Tonic.ai subsetting dashboard view.
Tonic is obtainable in two editions: Tonic cloud and enterprise. To get quotes for these plans, you need to contact an in-house skilled for customized quote. Tonic provides a 2-week free trial which lets you attempt the device earlier than making a purchase order determination.
Key options

It helps a number of flat recordsdata together with .txt, JSON, CSV and XML.
Schema change alerts functionality helps to forestall delicate information leakage.
Connects with a number of CI/CD functions.
De-identification and AI synthesis capabilities.


Ranks excessive for ease of use and have set.
Offers high quality buyer help.
Offers subsetting performance.


Some customers reported that the device is considerably costly.
Steep studying curve.

Tonic.ai integrations
This platform integrates with a number of third-party providers together with

SQL Server
Amazon EMR w/ Glue

Hazy: Best for monetary providers
Overall score: 3.18

Cost: 0
Feature Set: 5
Ease of Use: 4.5
Tools: 2.5
Support: 2

Hazy permits companies to create lifelike however fully fictional datasets that mimic the statistical properties of correct information with out exposing precise buyer data. Hazy is used within the monetary providers trade for fraud modeling, asset administration and buyer engagement, monetary crime, credit score threat,  AML, and operational threat.
Hazy’s artificial information engine is constructed to deal with complicated information from massive enterprise. Hazy can join with complicated community and safety setups, working alongside your authentic information to offer the very best stage of safety, whether or not it’s saved in your premises or in your non-public cloud. With Hazy, complicated information might be generated for monetary service functions and securely saved throughout the firm’s silos.
Sample mission compliance view
The firm doesn’t promote its fee on its web site however encourages consumers to get in contact with an in-house skilled by finishing a brief kind on their web site.
Key options

Advanced reminiscence optimization and subsetting methods decrease vitality utilization.
Deploy on-premises or within the cloud.
It can create various datasets that embody numerous situations, enabling thorough testing and evaluation.


Support complicated information wants.
Users applaud Hazy’s built-in privateness instruments.


May not be appropriate for small corporations.
Lacks clear pricing.

Hazy integrations
Top Hazy integrations:

On a associated subject: What is Generative AI?

K2View: Best for ML coaching
Overall score: 3.60

Cost: 3.25
Feature Set: 5
Ease of Use: 2
Tools: 5
Support: 1

K2View provides 4 artificial information technology strategies, making it straightforward for groups to generate and combine artificial information into CI/CD (Continuous Integration/Continuous Deployment) and ML (Machine Learning) pipelines.
K2View artificial information technology device combines 4 information technology strategies: Generative AI, guidelines engine, entity cloning, and information masking.

Generative AI: The Generative AI mannequin entails subsetting the required supply information to coach generative AI fashions. This information is then masked to make sure privateness and safety. The masked coaching information is used to coach the GPT (Generative Pre-trained (*9*)) mannequin, which permits artificial information technology.
Rule engine: Rule-based information technology lets you generate information creation capabilities primarily based on information classification, after which you possibly can proceed to customise, take a look at, and debug the capabilities code-free. The guidelines engine information technology permits customers to assign enterprise parameters for the capabilities and generate information on demand or through API.
Entity cloning and information masking: Entity cloning lets you extract, masks, and clone a single enterprise entity and all its information after which create distinctive identifiers for every cloned entity. The information masking information technology methodology auto-discovers delicate and personally identifiable data (PII) after which applies prebuilt, customizable information masking capabilities. K2View lets you masks information inflight, because it’s extracted from the sources.

K2View new process creation view.
K2View pricing is obtainable on demand.
Key options

Connectors to structured and unstructured information sources.
Low code/no-code platform.
Version and roll again datasets on demand.


Preserves information relationships.
Data masking capabilities.
Enhance information privateness and compliance.


Steep studying curve for novices.
Users say it’s costly.

K2View integration
You can join K2View with the next instruments:


Datomize: Best for information analysts and machine studying engineers
Overall score: 3.96

Cost: 4.4
Feature Set: 3.4
Ease of Use: 4.5
Tools: 5
Support: 3

Our analysis discovered that Datomize excels in analytical information units with its AI-powered information technology capabilities. By leveraging habits extracted from present information, Datomize permits information analysts and machine studying consultants to generate exact and related analytical information units.
The Datomize AI-powered information technology platform permits information analysts and machine studying consultants to get essentially the most out of their analytical information units. It lets you generate the precise analytical information units required utilizing the habits extracted from present information, and creates artificial information that’s comparable in properties to the unique information however with out containing any delicate or private data.
Datomize rating evaluation dashboard.

Community: Free perpetually plan with 40 credit per thirty days and as much as 20MB enter dimension.
Starter: $720 per thirty days, billed yearly or $800 per thirty days billed month-to-month. It consists of 160 credit per thirty days plus as much as 500MB enter dimension.
Enterprise: Quote out there upon request. Unlimited utilization and enter dimension.

Key options

Advanced augmentation capabilities.
Datomize’s rules-based engine permits customers to generate the precise analytical information set wanted for any desired situation.
Support time-series information.


Offers a free perpetually plan.
Predict outcomes for any situation.


Limited sources in regards to the product.
Lacks reside chat help.

Datomize integrations

Python SDKs

Sogeti Artificial Data Amplifier (ADA): Best for testing and improvement use instances
Overall score: 2.55

Cost: 0
Feature Set: 5
Ease of Use: 1
Tools: 5
Support: 2

Sogeti acquired excessive marks for its function set, which incorporates the maturity of the product, its capability to serve massive enterprises and output high-quality tune functionality. Sogeti additionally scored 5 out of 5 for “Tools” because of its high quality of generated information and scalability.
Part of the Capgemini Group, Sogeti is a Managed Service Provider (MSP) with operational presence in over 100 areas globally. Sogeti ADA generates lifelike, usable information primarily based on actual information units. it leverages superior deep studying primarily based on a mixture of synthetic neural networks to investigate current information and create comparable however new information factors. It can generate massive volumes of knowledge, serving to organizations sort out the info shortage problem.
Quotes can be found upon request.
Key options

Realistic and various information technology.
Support for various information varieties.
Bias and overfitting discount.


Sogeti’s generated information preserves all of the traits, correlations and properties of the unique information.
It might be personalized to fit your particular wants and use instances.


Lacks clear pricing.
Usability requires coaching and experience.

Sogeti Integrations
Sogeti high integrations embody:

Also see: Generative AI Companies: Top 12 Leaders

CA Test Data Manager: Best for complicated information technology
Overall score: 2.78

Cost: 0
Feature Set: 3.25
Ease of Use: 4
Tools: 5
Support: 2

Significantly CA Test Data Manager focuses on defending delicate data – it provides options corresponding to information masking, which helps to guard delicate and private data in take a look at environments by changing actual information with lifelike however faux information.
Developed by CA Technologies, CA Test Data Manager is a device lets you create, generate, masks, and refresh take a look at information for software testing. CA Test Data Manager automates the method of making take a look at information by integrating with numerous information sources and offering information administration options like information subsetting, information masking, and artificial information technology. CA Test Data Manager helps 32-bit and 64-bit bodily and digital Windows machines.
The Main Navigation Screen for Virtual Test Data Manager.
Quote out there upon request.
Key options

It has a discovery and profiling function that lets you establish personally identifiable data (PII) throughout a number of information sources.
It lets you create future situations and sudden outcomes to check boundary circumstances.
CA’s digital take a look at information supervisor functionality lets you generate a number of copies of take a look at information in seconds by means of cloning.


Self-service take a look at information provisioning.
Integration with governance and threat administration.
Data masking.


Limited help.
Limited useful resource and product data.

CA Test Data Manager integrations

Oracle RAC 11g
Oracle RAC 12c
IBM DB2 11 for z/OS
IBM DB2 UDB 11.1
CA IDMS 19.0
MySQL 5.6

How to decide on the perfect artificial information software program for what you are promoting
When purchasing for the perfect artificial information software program, your group’s distinctive wants for artificial information needs to be your topmost precedence – are you most involved with compliance, with pace? You have to establish the kinds of information it’s worthwhile to generate and decide the ache level such information will resolve for what you are promoting.
After figuring out your information wants, it’s time to conduct intensive analysis – search for options that align together with your necessities and supply the mandatory functionalities. Our analysis has lessened the analysis burden for you; there’s fairly seemingly a selection that matches your wants within the checklist above. Next up is to judge the device’s information technology methods, customizable capabilities and scalability. And you’ll want to take the software program for a take a look at drive – be certain it truly works in your wants.
How we evaluated the perfect artificial information software program
We weighed the perfect artificial information instruments throughout 5 classes –every class has sub-categories that helped us consider and evaluate the AI writing instruments.
Cost – 20%
We examined the totally different pricing plans supplied by every artificial information software program. This included evaluating the price of the device on a month-to-month or annual foundation. We additionally test to see if the instruments provide worth for cash.
Features set – 30%
We assessed the core information technology capabilities of every device and its functionalities, together with the maturity of the product’s capability to finetune the output and we additionally confirmed if the device is geared for big enterprises.
Ease of use – 25%
We regarded for intuitive and user-friendly instruments, permitting customers to navigate and make the most of the device’s options simply.
Tools – 10%
We evaluated every device’s output high quality and scalability stage.
Support – 15%
We assessed the provision and responsiveness of buyer help channels, corresponding to e mail, reside chat, or cellphone help. We additionally thought-about the provision of sources and documentation, corresponding to person guides, tutorials, or data bases.
Bottom line: Top artificial information software program
There is not any one-size-fits-all when selecting the right artificial information software program. For occasion, information analysts and machine studying engineers could discover Datomize useful, whereas Hazy could also be the most suitable choice for monetary service corporations.
The finest artificial information software program for you’ll depend upon numerous elements, together with your group’s particular wants, the use case, the trade, and information compliance necessities. Clearly, given the complexity of this class, you’ll have to do your homework to pick the perfect artificial information software program.
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