Best DataOps Platforms - Page 8

How Many DataOps Platforms Products Does G2 Track?

Total Products under this Category: 125

Category Stats (Sep 2026)

  • Average Rating: 4.59/5 (↑0.01 vs Aug 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Cloudera (+2.21%) - Among all products in this category, Cloudera recorded the largest rating increase compared to last month

Last updated: September 01, 2026

How Does G2 Rank DataOps Platforms Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 6,400+ Authentic Reviews
  • 125+ 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

Highlighted products: Databricks, Fivetran, ServiceNow Workflow Data Fabric, Flip, dbt, 5X, 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=dbt&focus%5B%5D=5x&focus%5B%5D=monte-carlo&focus%5B%5D=astro-by-astronomer)

Match Data Pro

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?

Who Uses This Product?

  • Company Size: 50% Small, 25% Large

What Do G2 Reviewers Say About Match Data Pro?

AI-generated summary from verified user reviews

Pros
  • Users commend the efficient data cleaning capabilities of Match Data Pro, enabling effective results and user empowerment.
  • Users appreciate the ease of use of Match Data Pro, especially benefiting from its intuitive design and helpful support.
  • Users benefit from the empowering learning experience provided by Match Data Pro, enhancing their data matching skills effectively.
  • Users value the automation in Match Data Pro, which streamlines complex matching processes and enhances productivity.
  • Users commend the dedicated customer support at Match Data Pro, ensuring a smooth learning experience and timely assistance.

What Are Recent G2 Reviews of Match Data Pro?

Metis

Who Is the Company Behind Metis?

Metrolink

Metrolink is a high-performance unified [omni]platform that is layered on any existing infrastructure for seamless onboarding. Metrolink’s intuitive design empowers any organization to govern its data integration by arming it with advanced manipulations aimed to maximize diverse and complex data, refocus human resources, and ​eliminate overhead.

Who Is the Company Behind Metrolink?

Octave Databridge Pro

Reserved Media is offering the premium domain name Octave.com for sale, emphasizing its value as a sophisticated online identity. The company targets businesses and individuals looking to establish credibility and trust through a valuable domain name. With a focus on the appreciation of premium domain names over time, Reserved Media positions this opportunity as an investment for potential clients. Interested parties can request quotes and get in touch regarding the purchase of the domain.

Who Is the Company Behind Octave Databridge Pro?

Paradime

Paradime is a platform that offers a range of services, including seamless integration with various tools, in-app chat and email support

Who Is the Company Behind Paradime?

  • Seller: Paradime
  • Year Founded: 2020
  • HQ Location: San Francisco, US
  • Twitter: @paradimelabs
    131 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    13 employees on LinkedIn®

Pryzm

PRYZM is a Data Reliability & Observability Platform, crafted to ensure precision and trust in every data point, so that businesses can confidently make data-driven decisions. PRYZM continuously observes all data assets and ensures your team is the first to know about data anomalies. It proactively alerts the stakeholders and guides with quick contextual root-cause analysis. PRYZM is conceptualized from learning of 10+ years' experience of Data Governance & developing robust Data Platforms, trusted by Fortune 500 companies. Our key offerings are mentioned as below: I. Asset Metadata Hub - Discover, govern and manage your data with comprehensive metadata insights, powered by GenAI. II. Data Quality Management - Ability to suggest technical and business DQ rules on data assets for faster coverage with user assisted reviews using GenAI capabilities. III. Incident Detection & Workbench - Embedded AI detects data anomalies and offers predictive insights to prevent escalation. Our Data Reliability & Observability Platform, Pryzm offers a range of benefits that derives maximum value out of your data platform investments: 1. DataOps Teams - Benefit from enhanced efficiency and automation 2. Data Engineering Teams - Empowered for efficient data pipeline management 3. Data Stewards - Enjoy stringent data quality and metadata management 4. Data Consumers - Receive accurate, reliable data for informed decision-making

Who Is the Company Behind Pryzm?

  • Seller: Lumiq.ai
  • Year Founded: 2013
  • HQ Location: Noida, IN
  • LinkedIn® Page: www.linkedin.com
    324 employees on LinkedIn®

Raden AI Data Engineer

Raden augments your data team with distinguished engineer expertise for: - Automated Data Observability - Continuous Spend Optimization - Automated Data Quality - Performance Optimization - Usage and Governance With Raden, data teams experience: - Results in 5 minutes - 50% reduction in data spend - 10x improvement in operational efficiency

Who Is the Company Behind Raden AI Data Engineer?

  • Seller: Revefi
  • Year Founded: 2021
  • HQ Location: Redmond, US
  • LinkedIn® Page: www.linkedin.com
    33 employees on LinkedIn®

REKA Data Platform

Formerly known as REKA Studios. We are a humble team of designers, developers & strategic thinkers who are passionate about helping our clients reach their goal. We're determined to craft unique user experiences that speak to the user & highly functional products while still focused on detailed aesthetics.

Who Is the Company Behind REKA Data Platform?

Rudol

Unlock the real power of your Data In today's data-driven landscape, the quality of your data is paramount. Poor data quality can lead to wrong business decisions, poor quality software or biased AI trainings, due to inaccurate, incomplete, or unreliable information. Enter Rudol, your data quality partner, designed to elevate your data quality game to new heights. Rudol is a comprehensive data quality platform that empowers organizations to maximize the value of their data. It's tailor-made for enterprises that recognize the importance of data quality, from improving decision-making to regulatory compliance, machine learning training or simply reducing problems in published software. And it does it for your whole organization, because it requires no technical background or coding skills whatsoever, its completely self service with 24/7 support, and all user accounts are Free, because the subscription cost is determined by the volume of your Data, enabling your whole structure to be part of the process. The foundation of data quality is understanding the landscape of your Assets. Rudol's Data Catalog allows organizations to bring order to their stack, by adding data sources from the most popular technologies, whether it's structured SQL databases, spreadsheets, dashboards, or even streaming sources. Then teams can perform Governance processes and define Owners, classify under Domains or Tags, put sensitive labels and help teams discover unknown sources for their projects. For those who don't want to have another browser tab opened, Rudol provides Slack, Microsoft Teams and Google Chrome plugins with vast functionalities, so you can find and share resources while chatting with another team member, or in your browser as a sidebar, while using your favorite analytics platform. Enabling Data Quality is a tedious process, Business Stakeholders have to chime in trying to translate their vision into technical requirements, and Software Engineers have to interpret those requirements, for coding boring, repetitive and time consuming scripts. This process is done with friction, and is very difficult to maintain over time, so Rudol bypasses this process by giving Business Stakeholders easy to build Validations that require no coding background and are extremely easy to configure. Choose from more than 15 Business Rules Validations or let Rudol parse your Data to pre configure some of them, the process takes less than 3 minutes and you can massively configure Validations to all your Assets in an instant. Releasing your Data Team from this repetitive tasks is crucial for optimizing their work and getting more value out of the practice, that's why Rudol also offers AI Validations to detect Anomalies where no business rules are defined. Use one of our 3 models to detect inconsistencies where not even Business Stakeholders can notice, and proactively notify your interested roles to identify hidden problems or false positives, because the models learn and improve with your feedback. Rudol also offers Lineage level traceability for Root Cause and Impact Analysis, allowing you to trace data from source to destination across data pipelines. Understand the upstream and downstream implications of any data issue, promoting accountability and transparency, or copy Validations accross your pipeline flow for higher quality coverage. With Rudol, Data Quality becomes accesible and easy to execute. It's designed for all levels of technical expertise, allowing everyone in your organization to participate in maintaining data quality. Rudol enhances decision-making, reduces infrastructure costs, and empowers organizations to make the most out of their data. Don't let poor data quality hinder your success. Choose Rudol and enable the real power of your Data.

Average Rating: 5.0/5.0

Total Reviews: 1

Who Is the Company Behind Rudol?

  • Seller: Rudol
  • Year Founded: 2022
  • HQ Location: N/A
  • LinkedIn® Page: www.linkedin.com
    7 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Rudol?

Shakudo

Shakudo ensures compatibility across data tools allowing companies to build the best data infrastructure for their needs. With Shakudo you can mix and match your data tooling to create a more reliable, performant, and cost-effective stack than ever before.

Average Rating: 4.5/5.0

Total Reviews: 2

How Do G2 Users Rate Shakudo?

  • Ease of Use: 8.3/10 (Category avg: 9.0/10)

Who Is the Company Behind Shakudo?

  • Seller: Shakudo
  • Year Founded: 2021
  • HQ Location: Toronto, CA
  • LinkedIn® Page: ca.linkedin.com
    34 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Medium, 50% Small

What Do G2 Reviewers Say About Shakudo?

AI-generated summary from verified user reviews

Pros
  • Users find Shakudo's connectivity exceptional, effectively integrating various data tools for optimal performance.
  • Users appreciate the seamless data access provided by Shakudo, maximizing the potential of their diverse data tools.
  • Users value Shakudo for its effective data integration, maximizing the utility of diverse data tools in their stack.
  • Users find Shakudo excellent for data management, successfully coordinating tools and optimizing their data stack.
  • Users appreciate Shakudo for its flexible data pipelining, effectively coordinating various tools in their data stack.
Cons
  • Users find limited data transformation capabilities in Shakudo, often needing additional tools for complex tasks.
  • Users find feature limitations in Shakudo, as it lacks robust data transformation capabilities for complex tasks.
  • Users find Shakudo's lack of data transformation features limits their ability to perform complex data manipulations efficiently.
  • Users note a significant lack of functionality in Shakudo, requiring additional tools for complex data manipulation tasks.
  • Users find a lack of data transformation tools in Shakudo, often relying on external tools for complex tasks.

What Are Recent G2 Reviews of Shakudo?

Splashback

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?

Synthesized SDK

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
  • Year Founded: 2020
  • HQ Location: London, GB
  • Twitter: @Synthesizedio
    3,080 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    40 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of Synthesized SDK?

Syntitan

Syntitan is an AI-ready data platform that makes enterprise data runnable for AI and ties every AI run to a reproducible Release State. Syntitan is an AI-ready data platform for teams running AI and LLMs in production. When production AI breaks, the data is usually why. The model checks out fine, but the data shifted under it, and by the time the output looks wrong, no one can say what changed or when. Syntitan works on two fronts to fix that. It first checks whether your data is ready for AI, scoring it on quality, completeness, balance, context, and lineage. Then it cleans up the broken parts and standardizes them into a state a model can use. Anything sensitive is dealt with at the boundary first, before it reaches the platform. Once data passes, Syntitan seals it as a Release State: a fixed version that can't change once it's signed off. Every run points back to that exact release. When results drift, you line up two versions, see what moved, and roll back to a data state that worked. Syntitan sits on top of the data stack you already run, so there's no rip-and-replace. It covers the gap between where your data lives and where your AI runs, and keeps production AI traceable instead of a black box you re-debug every week.

Who Is the Company Behind Syntitan?

  • Seller: CUBIG
  • Year Founded: 2021
  • HQ Location: Belfast, GB
  • LinkedIn® Page: www.linkedin.com
    27 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small
Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated October 3, 2024