# Top Free DataOps Platforms - Page 4 ## How Many DataOps Platforms Products Does G2 Track? **Total Products under this Category:** 108 ### Category Stats (Aug 2026) - **Average Rating:** 4.58/5 (↓0.01 vs Jul 2026) The average rating of products in this category, based on all submitted ratings - **Top Trending Product:** Datacoves (+0.27%) - Among all products in this category, Datacoves recorded the largest rating increase compared to last month _Last updated: August 15, 2026_ ## How Does G2 Rank DataOps Platforms Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 6,100+ Authentic Reviews - 108+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. ## G2 Grid® for DataOps Platforms ![G2 Grid® for DataOps Platforms plotting products by satisfaction and market presence](https://www.g2.com/categories/dataops-platforms/grids.png?focus%5B%5D=10470&focus%5B%5D=23920&focus%5B%5D=1208609&focus%5B%5D=1642761&focus%5B%5D=1243833&focus%5B%5D=148877&focus%5B%5D=142449&focus%5B%5D=51147) Highlighted products: Databricks, Fivetran, ServiceNow Workflow Data Fabric, Flip, 5X, dbt, Monte Carlo, and Astro by Astronomer. Underlying data: [Grid® JSON](https://www.g2.com/categories/dataops-platforms/grids.json?focus%5B%5D=databricks&focus%5B%5D=fivetran&focus%5B%5D=servicenow-workflow-data-fabric&focus%5B%5D=kanerika-flip&focus%5B%5D=5x&focus%5B%5D=dbt&focus%5B%5D=monte-carlo&focus%5B%5D=astro-by-astronomer) **Sponsored** ### Amazon Redshift Tens of thousands of customers use Amazon Redshift, a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. It is optimized for datasets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=2686&secure%5Bchosen_at%5D=2026-08-15T06%3A38%3A07Z&secure%5Bdisplayable_resource_id%5D=2686&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=2686&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=10898&secure%5Bresource_id%5D=2686&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fdataops-platforms%2Ffree%3Fpage%3D4&secure%5Btoken%5D=6df2e0d7c90a1f32f1930469ca9f00cf26ac5ebe8f8d6f478f2c37f913d3b7e9&secure%5Burl%5D=https%3A%2F%2Faws.amazon.com%2Fredshift%2F%3Ftrk%3Dde302eb2-ad94-4a9b-8ef9-3610f836bf6a%26sc_channel%3Ddisplay%2Bads&secure%5Burl_type%5D=custom_url) ### [Coginiti](https://www.g2.com/products/coginiti/reviews) Coginiti is a SQL-first collaborative data operations platform that empowers teams to build, publish, and consume quality data products, streamlining the data analytics lifecycle from inception to insights. Integrating with the widest variety of data platforms and tools, Coginiti enables analysts, engineers, and data scientists to collaborate in real-time, breaking down silos and fostering innovation. Its intuitive interface simplifies managing complex data workflows, ensuring governance and consistency across projects. Key Features: - Realtime Collaboration - Flexible Data Modeling - Data Quality Testing - Visualize Data Lineage - Native Scheduling - Powerful APIs - AI Assistant Coginiti facilitates a seamless transition from data preparation to actionable intelligence. It’s not just about refining your data strategy or scaling your analytics capabilities; it’s about empowering your organization to harness the full potential of data for informed decision-making. Discover the power of Coginiti and transform your data operations. Coginiti offers products for individual analysts, data teams, and enterprises. **Average Rating:** 4.5/5.0 **Total Reviews:** 29 #### How Do G2 Users Rate Coginiti? - **Ease of Use:** 9.4/10 (Category avg: 9.0/10) - **What is your organization's estimated ROI on the product (payback period in months)?:** 10/10 (Category avg: 10/10) #### Who Is the Company Behind Coginiti? - **Seller:** [Coginiti Corp](https://www.g2.com/sellers/coginiti-corp) - **Year Founded:** 2020 - **HQ Location:** Atlanta , GA - **Twitter:** @coginiti 71 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=58ecaed2efc005b0d0940823689bc93b58ded7b8631cbd58b8cec55565cd669e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcoginiti&secure%5Burl_type%5D=linkedin_company_website) 35 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 66% Large, 28% Medium #### What Are Recent G2 Reviews of Coginiti? **["Very user friendly tool to write and run queries needed to do my job"](https://www.g2.com/survey_responses/coginiti-review-8657704)** **Rating:** 5.0/5.0 stars _— Lori-Jo D._ [Read full review](https://www.g2.com/survey_responses/coginiti-review-8657704) **["A functional app to maintain and work on all your databases"](https://www.g2.com/survey_responses/coginiti-review-9002344)** **Rating:** 5.0/5.0 stars _— Puteri P._ [Read full review](https://www.g2.com/survey_responses/coginiti-review-9002344) #### What Are G2 Users Discussing About Coginiti? - [What is Coginiti used for?](https://www.g2.com/discussions/what-is-coginiti-used-for) - [What is Aginity Workbench for puredata system for analytics?](https://www.g2.com/discussions/what-is-aginity-workbench-for-puredata-system-for-analytics) - [What is Aginity Workbench for Netezza?](https://www.g2.com/discussions/what-is-aginity-workbench-for-netezza) - [How much does Aginity pro cost?](https://www.g2.com/discussions/how-much-does-aginity-pro-cost) ### [Conduktor for Apache Kafka](https://www.g2.com/products/conduktor-for-apache-kafka/reviews) Conduktor is a Streaming Data Hub for enterprises to operate, secure, and scale Apache Kafka operations. It unifies visibility, governance, and security across their various data infrastructure so teams can build, share, and trust real-time data at scale. #### Who Is the Company Behind Conduktor for Apache Kafka? - **Seller:** [Conduktor](https://www.g2.com/sellers/conduktor) - **Year Founded:** 2019 - **HQ Location:** New York, US - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=29adf595a331abb7adc2a1d2400a0c8c9155f78bc60acb55828818c81cbcd580&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fconduktor&secure%5Burl_type%5D=linkedin_company_website) 100 employees on LinkedIn® ### [Dagster](https://www.g2.com/products/dagster/reviews) Ship data pipelines with extraordinary velocity. Dagster is the cloud-native orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability. **Average Rating:** 4.5/5.0 **Total Reviews:** 2 #### How Do G2 Users Rate Dagster? - **Ease of Use:** 7.5/10 (Category avg: 9.0/10) #### Who Is the Company Behind Dagster? - **Seller:** [Dagster Labs](https://www.g2.com/sellers/dagster-labs) - **Year Founded:** 2018 - **HQ Location:** San Francisco ,California ,United States - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a5b7090dc7f4ae8fdad112483775ba6d56e70f56de33bdd5f116b0b6846e30ad&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdagsterlabs%2F&secure%5Burl_type%5D=linkedin_company_website) 92 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 50% Small, 50% Medium #### What Do G2 Reviewers Say About Dagster? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **robust analytics capabilities** of Dagster, highlighting its reliability and transparency in data orchestration. - Users highlight the **ease of use** of Dagster, noting its intuitive design and reduced complexity for data orchestration. - Users value the **asset-centric approach** of Dagster, enhancing reliability and transparency in data orchestration. - Users value the **flexibility** of Dagster, appreciating its asset-centric approach to diverse data engineering use cases. - Users admire the **sophisticated and modern tool** that fits nearly all data engineering use cases effectively. ##### Cons - Users find the **difficult learning** process challenging, complicating initial adoption and hindering usability for smaller teams. - Users find the **steep learning curve** of Dagster challenging, hindering smooth adoption and initial usage. - Users find the **steep learning difficulty** of Dagster challenging, complicating adoption for smaller teams. - Users find Dagster's **steep learning curve** challenging, especially during initial setup and integration into workflows. - Users find the **complex setup** of Dagster challenging, complicating adoption and overwhelming smaller teams. #### What Are Recent G2 Reviews of Dagster? **["Dagster: Review"](https://www.g2.com/survey_responses/dagster-review-12205767)** **Rating:** 4.0/5.0 stars _— Aarsh B._ [Read full review](https://www.g2.com/survey_responses/dagster-review-12205767) **["Much more advanced and modern alternative to Apache Airflow"](https://www.g2.com/survey_responses/dagster-review-11304116)** **Rating:** 5.0/5.0 stars _— Kelvin Ngoc Nguyen L._ [Read full review](https://www.g2.com/survey_responses/dagster-review-11304116) ### [HighByte Intelligence Hub](https://www.g2.com/products/highbyte-intelligence-hub/reviews) HighByte Intelligence Hub is a DataOps software solution purpose-built for industrial data. The Intelligence Hub enables manufacturers to securely collect, model, and stream industrial datasets to and from IT systems without writing or maintaining code. The software is deployed at the Edge to merge real-time, transactional, and time-series data into a single payload for consuming applications. With the Intelligence Hub, users can speed system integration time, rapidly leverage contextualized data for analytics, ML, and AI agents, and govern data standards across the enterprise. HighByte Intelligence Hub provides the critical data infrastructure for Industry 4.0. #### Who Is the Company Behind HighByte Intelligence Hub? - **Seller:** [HighByte](https://www.g2.com/sellers/highbyte) - **Year Founded:** 2018 - **HQ Location:** Portland, US - **Twitter:** @HighByteInc 461 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=be603b8178d1ea88e3bc0e169540868730b7165b2939c1397d9f0bfa3a6e40b6&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fhighbyte%2F&secure%5Burl_type%5D=linkedin_company_website) 49 employees on LinkedIn® ### [Match Data Pro](https://www.g2.com/products/match-data-pro/reviews) At Match Data Pro, our core focus is data matching and entity resolution — but our platform goes far beyond that: We’ve built MDP to empower organizations with a smarter, scalable, and secure environment for managing data across teams, systems, and workflows. Whether you’re cleansing, profiling, enriching, or deduplicating data, MDP is designed to support multi-user collaboration, process automation, and high-confidence data preparation. Our all-in-one suite helps you move, manage, and make data fit-for-purpose — seamlessly across cloud, on-premises, and hybrid environments. Let Match Data Pro help you unlock the full potential of your data — confidently, collaboratively, and at scale. Connect and sync data from disparate systems and formats Cloud API and integrations Pre-built connectors Streamline management of integrations and workflows from a clean, intuitive dashboard, no coding required Replicate and synchronize data across disparate source and target systems Data quality tools Connect data from disparate systems to create relationships and 360 views of any data domain Master Data Management tools allowing you to standardize, clean and deduplicate records at scale with rules that prevent bad data from entering your disparate systems Custom data processing and workflow creation and automation with reusable projects, reusable rules, version control, scheduling, webhooks, and REST API triggers Empowering teams to collaborate with multiuser capabilities by creating users and teams to share and collaborate with projects and permissions, securely across the organization **Average Rating:** 5.0/5.0 **Total Reviews:** 4 #### How Do G2 Users Rate Match Data Pro? - **Ease of Use:** 9.6/10 (Category avg: 9.0/10) - **What is your organization's estimated ROI on the product (payback period in months)?:** 3.3/10 (Category avg: 10/10) #### Who Is the Company Behind Match Data Pro? - **Seller:** [Match Data Pro](https://www.g2.com/sellers/match-data-pro) - **Year Founded:** 2023 - **HQ Location:** Dover, US - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=4db4dda67dece376094f9b318bc371014d14a7ed0f3ee589cce255f82b8d34e1&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmatch-data-pro&secure%5Burl_type%5D=linkedin_company_website) 3 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 50% Small, 25% Medium #### What Do G2 Reviewers Say About Match Data Pro? _AI-generated summary from verified user reviews_ ##### Pros - Users praise the **data cleaning capabilities** of Match Data Pro, noting accuracy and efficiency in handling complex data needs. - Users appreciate the **ease of use** of Match Data Pro, valuing the intuitive design and supportive onboarding process. - Users praise Match Data Pro for its **empowering learning experience** , enabling effective data management and improvement strategies. - Users appreciate the **automation process** of Match Data Pro, which simplifies complex matching and enhances efficiency. - Users commend the **exceptional customer support** of Match Data Pro, highlighting their dedication and helpfulness throughout the process. #### What Are Recent G2 Reviews of Match Data Pro? **["Excellent Service & Value"](https://www.g2.com/survey_responses/match-data-pro-review-11745376)** **Rating:** 5.0/5.0 stars _— Thora M._ [Read full review](https://www.g2.com/survey_responses/match-data-pro-review-11745376) **["Ive been using the platform for about 12 months now and have to say its very simple to use."](https://www.g2.com/survey_responses/match-data-pro-review-11034554)** **Rating:** 5.0/5.0 stars _— Bret R._ [Read full review](https://www.g2.com/survey_responses/match-data-pro-review-11034554) ### [Splashback](https://www.g2.com/products/splashback/reviews) Our platform provides a robust suite of data management tools, hosted in our secure, fully-managed cloud environment. With both guided and automated data importing, our rigorous quality control means you know you can trust your data. A massive issue businesses face with data is access. Splashback provides a state-of-the art permission system that allows you to securely share data, both within your organization and with external stakeholders such as contractors or regulatory bodies. Analysing data has never been so flexible and efficient. The Splashback add-ins allow business users to easily access and interpret data with familiar charts and tables. Experienced data analysts can take advantage of our native language bindings in packages like R and Python for complete control and integration into production processes. The open Splashback API allows synchronization of Splashback data with your business systems, such as websites and dashboards. Get in touch today for a free trial, or to discuss your data needs. #### Who Is the Company Behind Splashback? - **Seller:** [Splashback](https://www.g2.com/sellers/splashback) - **HQ Location:** Hobart, AU - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=239bb021b23a20010df156ef36485cc95575d8ddf8ab4092496e6ceb16bd7b77&secure%5Burl%5D=http%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsplashback&secure%5Burl_type%5D=linkedin_company_website) 4 employees on LinkedIn® ### [Synthesized SDK](https://www.g2.com/products/synthesized-sdk/reviews) Apply Synthesized Scientific Data Kit (SDK) to bootstrap data where the density of data is low, automatically rebalance data to improve model performance, and anonymize data for repurposing. Improved model performance Benefit from up to 15% uplift in model performance with data rebalancing, data imputation, and high-quality synthetic data generation. SDK helps increase revenue across conversion, fraud, revenue recovery, and more. API-first extensible framework Extend and plug-in into any data platform or ETL pipeline including Airflow, Dataproc, Spark. Fast and easy deployments using Kubernetes, OpenShift, and Docker. Guaranteed compliance "Data as Code" approach enables you to codify complex compliance requirements into concrete data transformations. Full analytics and reporting Full visibility of key data metrics including data quality, data compliance, and model performance metrics in your reports. **Average Rating:** 4.5/5.0 **Total Reviews:** 1 #### How Do G2 Users Rate Synthesized SDK? - **Ease of Use:** 10.0/10 (Category avg: 9.0/10) #### Who Is the Company Behind Synthesized SDK? - **Seller:** [Synthesized](https://www.g2.com/sellers/synthesized) - **Year Founded:** 2020 - **HQ Location:** London, GB - **Twitter:** @Synthesizedio 3,080 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=6d19b8e75fe021e1250e97ebcd326848bfe711349d26851b364412c11f533ace&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsynthesized&secure%5Burl_type%5D=linkedin_company_website) 40 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 100% Medium #### What Are Recent G2 Reviews of Synthesized SDK? **["Best API level production like testing data provider."](https://www.g2.com/survey_responses/synthesized-sdk-review-9963957)** **Rating:** 4.5/5.0 stars _— Hiten A._ [Read full review](https://www.g2.com/survey_responses/synthesized-sdk-review-9963957) - [‹ Prev ‹ Prev](/categories/dataops-platforms/free?order=g2_score&page=3#product-list) - [1](/categories/dataops-platforms/free?order=g2_score#product-list) - [2](/categories/dataops-platforms/free?order=g2_score&page=2#product-list) - [3](/categories/dataops-platforms/free?order=g2_score&page=3#product-list) - 4 - Next › Next › Spotlight Categories [Restaurant POS Systems](https://www.g2.com/categories/restaurant-pos) [Contact Center Software](https://www.g2.com/categories/contact-center) [Help Desk Software](https://www.g2.com/categories/help-desk) [Customer Success Software](https://www.g2.com/categories/customer-success) [Contract Management Software](https://www.g2.com/categories/contract-management) Similar Categories - [Infrastructure as a Service (IaaS)](/categories/infrastructure-as-a-service-iaas) - [Active Metadata Management](/categories/active-metadata-management) - [Address Verification](/categories/address-verification) - [AIOps Platforms](/categories/aiops-platforms) - [Application Server](/categories/application-server) - [Blockchain](/categories/blockchain) - [Cloud File Storage](/categories/cloud-file-storage) - [Database Software](/categories/database-software) - [Data Center Infrastructure Management (DCIM)](/categories/data-center-infrastructure-management-dcim) - [Data Center Networking](/categories/data-center-networking) - [Data Exchange Platforms](/categories/data-exchange-platforms) - [Data Fabric](/categories/data-fabric) - [Data Integration Tools](/categories/data-integration-tools) - [Data Management Software](/categories/data-management-software) - [Data Mapping](/categories/data-mapping) [Browse DataOps Platforms Themes](/categories/dataops-platforms/themes)