Alternatives to REGRESSwise
Compare REGRESSwise alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to REGRESSwise in 2026. Compare features, ratings, user reviews, pricing, and more from REGRESSwise competitors and alternatives in order to make an informed decision for your business.
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1
Google Cloud BigQuery
Google
BigQuery is a serverless, multicloud data warehouse that simplifies the process of working with all types of data so you can focus on getting valuable business insights quickly. At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely scale analytics, share rich data experiences with built-in business intelligence, and train and deploy ML models with a simple SQL interface, helping to make your organization’s operations more data-driven. Gemini in BigQuery offers AI-driven tools for assistance and collaboration, such as code suggestions, visual data preparation, and smart recommendations designed to boost efficiency and reduce costs. BigQuery delivers an integrated platform featuring SQL, a notebook, and a natural language-based canvas interface, catering to data professionals with varying coding expertise. This unified workspace streamlines the entire analytics process. -
2
Virtuoso QA
Virtuoso QA
Virtuoso QA is an AI-powered test automation platform designed to accelerate software quality assurance for enterprises. It enables teams to create, execute, and maintain tests using natural language without requiring coding expertise. The platform uses self-healing AI to automatically fix broken test elements, reducing maintenance effort and improving reliability. With support for continuous testing across browsers, devices, and CI/CD pipelines, it ensures faster and more efficient release cycles. Virtuoso QA also provides real-time insights and analytics to identify issues quickly. Its seamless integrations with tools like Jira, Jenkins, and GitHub make it easy to fit into existing workflows. Overall, it helps teams improve testing efficiency while reducing costs and manual effort. -
3
FinOpsly
FinOpsly
FinOpsly is the Value Control™ platform for Cloud, Data, and AI economics. It helps enterprises move beyond cost visibility to actively control spend and business outcomes through explainable, policy-governed AI automation. Unlike reporting-only FinOps tools, FinOpsly unifies cloud (AWS, Azure, GCP), data (Snowflake, Databricks, BigQuery), and AI costs into a single system of action — enabling teams to plan spend before it happens, automate optimization safely, and prove value in weeks, not quarters. FinOpsly enables enterprises to: Map spend to business value across products, teams, customers, and workloads Explain cost drivers clearly with AI-generated context and root-cause analysis Automate optimization safely using policy-driven, explainable agents Prevent drift and overages before they impact budgets or performance -
4
CloudQA
Statnetics, LLC
CloudQA offers a powerful no-code/low code automation platform to speed up regression testing OR continuous monitoring of web applications. Type, click, and interact with your site as you normally would. Our recorder captures all of your actions as you navigate your site. No worrying about complexities like nested iFrames or dynamic elements. Intuitive and intelligent script maintenance - Manage tests/monitoring scripts with visual editor, as it creates a dynamic test model that is updated to reflect changes in your application. Automate complex steps with simple JavaScript & select variable data sets. With automation accelerators you require no setup, no infrastructure & no lock-in. Get high volume parallel, scalable & collaborative testing in cloud. Out of the box support for legacy & latest web technologies. See live execution of your tests, share summary & detailed reports with screenshots. Integrate with your tech stack and setup custom notifications.Starting Price: $99.00/month -
5
Kubit
Kubit
Your data, your insights—no third-party ownership or black-box analytics. Kubit is the leading Customer Journey Analytics platform for enterprises, enabling self-service insights, rapid decisions, and full transparency—without engineering dependencies or vendor lock-in. Unlike traditional tools, Kubit eliminates data silos, letting teams analyze customer behavior directly from Snowflake, BigQuery, or Databricks—no ETL or forced extraction needed. With built-in funnel, path, retention, and cohort analysis, Kubit empowers product teams with fast, exploratory analytics to detect anomalies, surface trends, and drive engagement—without compromise. Enterprises like Paramount, TelevisaUnivision, and Miro trust Kubit for its agility, reliability, and customer-first approach. Learn more at kubit.ai. -
6
Testsigma
Testsigma
Testsigma is a low-code end-to-end software testing platform that works out of the box. It's built to enable modern Product teams to collaboratively plan, develop, execute, analyze, debug, and report on their automated testing—for websites, native Android and iOS apps, and APIs. Testsigma test scripts are code-agnostic. While the platform itself is built with Java, you can write test scripts in simple English or use the Test Recorder to generate airtight test scripts for websites and native mobile apps. You can also use the test recorder on your own device farm/grid or on Testsigma's built-in device lab on the cloud. The platform has built-in visual testing, parametrized or data-driven testing, 2FA testing, and more advanced features for easy test automation. Our AI automatically fixes unstable elements and test steps, identifies and isolates regression-affected scripts, and provides suggestions to help you find and fix test failures. -
7
Dataform
Google
Dataform enables data analysts and data engineers to develop and operationalize scalable data transformation pipelines in BigQuery using only SQL from a single, unified environment. Its open source core language lets teams define table schemas, configure dependencies, add column descriptions, and set up data quality assertions within a shared code repository while applying software development best practices, version control, environments, testing, and documentation. A fully managed, serverless orchestration layer automatically handles workflow dependencies, tracks lineage, and executes SQL pipelines on demand or via schedules in Cloud Composer, Workflows, BigQuery Studio, or third-party services. In the browser-based development interface, users get real-time error feedback, visualize dependency graphs, connect to GitHub or GitLab for commits and code reviews, and launch production-grade pipelines in minutes without leaving BigQuery Studio.Starting Price: Free -
8
Google Cloud Datalab
Google
An easy-to-use interactive tool for data exploration, analysis, visualization, and machine learning. Cloud Datalab is a powerful interactive tool created to explore, analyze, transform, and visualize data and build machine learning models on Google Cloud Platform. It runs on Compute Engine and connects to multiple cloud services easily so you can focus on your data science tasks. Cloud Datalab is built on Jupyter (formerly IPython), which boasts a thriving ecosystem of modules and a robust knowledge base. Cloud Datalab enables analysis of your data on BigQuery, AI Platform, Compute Engine, and Cloud Storage using Python, SQL, and JavaScript (for BigQuery user-defined functions). Whether you're analyzing megabytes or terabytes, Cloud Datalab has you covered. Query terabytes of data in BigQuery, run local analysis on sampled data, and run training jobs on terabytes of data in AI Platform seamlessly. -
9
nao
nao
nao is an AI-powered data IDE designed specifically for data teams, combining a code editor with native integration to your data warehouse so you can write, test, and maintain data-centric code with full context. It supports warehouses such as Postgres, Snowflake, BigQuery, Databricks, DuckDB, Motherduck, Athena, and Redshift. Once connected, nao replaces a traditional data-warehouse console by offering schema-aware SQL auto-completion, data previews, SQL worksheets, and the ability to switch easily between multiple warehouses. The core of nao is its AI agent, which has full awareness of your actual data schema, tables, columns, metadata, and your codebase or data-stack context. It can generate SQL queries or full data-transformation models (e.g., for dbt workflows), refactor code, add or update documentation, run data-quality checks and data-diff tests, and even surface insights or run exploratory analytics, all while respecting data structure and quality constraints.Starting Price: $30 per month -
10
Google Cloud Analytics Hub
Google
Google Cloud's Analytics Hub is a data exchange platform that enables organizations to efficiently and securely share data assets across organizational boundaries, addressing challenges related to data reliability and cost. Built on the scalability and flexibility of BigQuery, it allows users to curate a library of internal and external assets, including unique datasets like Google Trends. Analytics Hub facilitates the publication, discovery, and subscription to data exchanges without the need to move data, streamlining the accessibility of data and analytics assets. It also provides privacy-safe, secure data sharing with governance, incorporating in-depth governance, encryption, and security features from BigQuery, Cloud IAM, and VPC Security Controls. By leveraging Analytics Hub, organizations can increase the return on investment of data initiatives by exchanging data. Analytics Hub is based on the scalability and flexibility of BigQuery. -
11
RaptorXML Server
Altova
In today’s organizations, Big Data trends and XBRL mandates are producing huge, ever increasing amounts of XML, XBRL, JSON, and Avro data. Now, there is finally a modern, hyper-fast engine to validate, process, transform, and query it all. RaptorXML provides strict conformance with all relevant XML, XBRL, and JSON standards and is continuously submitted to rigorous regression and conformance testing against Altova’s substantial in-house collection of conformance and test suites, as well as industry test suites and customer use-cases. JSON popularity is ever rising, and alongside it the requirement to ensure validity of transacted data. RaptorXML has you covered with JSON syntax checking, JSON validation, JSON Schema validation.Starting Price: €400 one-time payment -
12
DataTrust
RightData
DataTrust is built to accelerate test cycles and reduce the cost of delivery by enabling continuous integration and continuous deployment (CI/CD) of data. It’s everything you need for data observability, data validation, and data reconciliation at a massive scale, code-free, and easy to use. Perform comparisons, and validations, and do reconciliation with re-usable scenarios. Automate the testing process and get alerted when issues arise. Interactive executive reports with quality dimension insights. Personalized drill-down reports with filters. Compare row counts at the schema level for multiple tables. Perform checksum data comparisons for multiple tables. Rapid generation of business rules using ML. Flexibility to accept, modify, or discard rules as needed. Reconciling data across multiple sources. DataTrust solutions offers the full set of applications to analyze source and target datasets. -
13
Astrato
Astrato Analytics
Astrato Analytics is a warehouse-native business intelligence platform that allows organizations to build, embed, and share interactive dashboards and data applications directly on cloud data warehouses. It integrates with major platforms such as Snowflake, BigQuery, Databricks, ClickHouse, Supabase, Amazon Redshift, PostgreSQL, and Dremio. The platform uses a zero-copy architecture, enabling real-time data access without the need for data extraction or duplication. This approach ensures that dashboards and reports always reflect the most up-to-date information. Astrato connects through a live-query engine, allowing seamless interaction with source data. It eliminates the complexity of managing data pipelines or cached datasets. Security is enhanced by inheriting policies like row-level access and data masking directly from the warehouse. Overall, it simplifies analytics while maintaining strong governance and real-time insights.Starting Price: $12/month/user -
14
Alooma
Google
Alooma enables data teams to have visibility and control. It brings data from your various data silos together into BigQuery, all in real time. Set up and flow data in minutes or customize, enrich, and transform data on the stream before it even hits the data warehouse. Never lose an event. Alooma's built in safety nets ensure easy error handling without pausing your pipeline. Any number of data sources, from low to high volume, Alooma’s infrastructure scales to your needs. -
15
QuerySurge
RTTS
QuerySurge is the enterprise-grade data quality platform that continuously automates the validation of data across your entire ecosystem ‐ from data warehouses and big data lakes to BI reports and enterprise applications. With AI-powered test creation, a scalable architecture, and seamless CI/CD integration, QuerySurge consistently ensures data integrity at every stage of the pipeline: accelerating delivery, reducing risk, and enabling confident decision-making. Use Cases - Data Warehouse & ETL Testing - Big Data Testing - DevOps for Data / DataOps / Continuous Testing - Data Migration Testing - BI Report Testing - Enterprise App/ERP Testing QuerySurge Features - Data Validation: enterprise-grade platform - AI: Automatically create data validation tests - BI Report Testing: Fully automated, no-code approach - DevOps for Data (DataOps): API w/60+ calls & Swagger docs, integrate continuous testing into your CI/CD pipelines - Data Connectors: For 200+ platforms -
16
Mitzu
Mitzu.io
Mitzu is an agentic analytics platform that runs your analytics directly on your data warehouse — no data copying, no reverse ETL, no SQL required. Its AI analytics agent answers business questions autonomously: it maps your schema, writes and executes queries on Snowflake, BigQuery, Redshift, Databricks, or ClickHouse, and returns explainable results with full SQL visibility. Teams get instant access to funnels, retention, cohorts, user journeys, and revenue metrics. Mitzu also proactively monitors KPIs and sends anomaly alerts via Slack or email. Available as SaaS, BYOC, or fully self-hosted. Free trial available at mitzu.ioStarting Price: $35 per month -
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Google Cloud Datastream
Google
Serverless and easy-to-use change data capture and replication service. Access to streaming data from MySQL, PostgreSQL, AlloyDB, SQL Server, and Oracle databases. Near real-time analytics in BigQuery. Easy-to-use setup with built-in secure connectivity for faster time-to-value. A serverless platform that automatically scales, with no resources to provision or manage. Log-based mechanism to reduce the load and potential disruption on source databases. Synchronize data across heterogeneous databases, storage systems, and applications reliably, with low latency, while minimizing impact on source performance. Get up and running fast with a serverless and easy-to-use service that seamlessly scales up or down, and has no infrastructure to manage. Connect and integrate data across your organization with the best of Google Cloud services like BigQuery, Spanner, Dataflow, and Data Fusion. -
18
Anomaly AI
Anomaly AI
Anomaly AI is a data analytics tool designed to handle large data sets. The platform is engineered with AI capabilities to automate the analysis of data and provide insightful, actionable outcomes. Via its comprehensive interface, users can create interactive and easily shareable dashboards. Anomaly AI supports various data upload formats including spreadsheets like Excel and CSV, and also connects with different databases like BigQuery and GA4. The platform is built to deal with significant data volumes, ensuring enterprise-grade security and intelligent data type detection. It optimizes data handling by scanning for quality issues, inconsistencies and anomalies in the data, facilitating the removal of duplicates, standardizing date formats and normalizing text fields among other operations.Starting Price: $25/month -
19
Perfecto
Perforce
Perfecto Is the Leading Testing Platform for Web & Mobile Apps. We believe your apps should perform no matter what. With Perfecto’s cloud-based solution, you can boost test coverage for fewer escaped defects while accelerating testing. From creation to execution and analysis, Perfecto has a proven, unified solution for your web and mobile testing needs. Test in your CI instead of the end of the cycle, and identify real failures quickly with false-negative filtering. Align platform and scenario test coverage with your actual users. Test failure analysis provides real test failure reasons. Heatmaps, test reports, and CI dashboards give you fast feedback. Get the most comprehensive rich test artifacts on the market, like crash logs, screenshots, and HAR files. Get visual validation for a side-by-side comparison across platforms. Eliminate bug reproduction time. Fix defects from your IDE. Integrate fully with Jira for full test management.Starting Price: $99.00/month -
20
PeerDB
PeerDB
If Postgres is at the core of your business and is a major source of data, PeerDB provides a fast, simple, and cost-effective way to replicate data from Postgres to data warehouses, queues, and storage. Designed to run at any scale, and tailored for data stores. PeerDB uses replication messages from the Postgres replication slot to replay the schema messages. Alerts for slot growth and connections. Native support for Postgres toast columns and large JSONB columns for IoT. Optimized query design to reduce warehouse costs; particularly useful for Snowflake and BigQuery. Support for partitioned tables via both publish. Blazing fast and consistent initial load by transaction snapshotting and CTID scans. High-availability, in-place upgrades, autoscaling, advance logs, metrics and monitoring dashboards, burstable instance types, and suitable for dev environments.Starting Price: $250 per month -
21
GetDot.ai
GetDot.ai
Dot is an AI data analyst that connects directly to your data warehouse and lets users ask questions in plain language to get instant, trustworthy insights. It integrates with Slack, Teams, or a native web app to deliver ad‑hoc data retrieval, visualizations, root‑cause analysis, and weekly business reports with actionable recommendations. By learning from your existing BI tools, dbt metrics, LookML, SQL queries, and documentation, GetDot.ai ensures consistent, governed answers reinforced by role‑based permissions and row‑level security. Setup is code‑free, with one‑click integrations for Snowflake, BigQuery, Redshift, PostgreSQL, and other SQL‑based sources. Continuous monitoring uncovers unknown unknowns, while a dedicated training and governance workspace lets you refine its behavior and maintain accuracy. Designed for speed and simplicity, Dot replaces dashboard overload by delivering precise answers in seconds rather than days.Starting Price: $799 per month -
22
Squish
Qt Group
Squish GUI Tester automates testing of graphical user interfaces across platforms and technologies such as Qt, Java, Web, .NET/WPF, iOS, Android, and embedded systems. Test scripts can be written in Python, JavaScript, Perl, Tcl, or Ruby, and its object-based recognition ensures tests remain reliable even as UIs change. With features like record/replay, keyword-driven and data-driven testing, test suite management, and CI/CD integration, Squish helps teams reduce manual testing, accelerate testing cycles, and ensure consistent performance, usability, and reliability. It is ideal for teams building enterprise-scale or safety-critical applications requiring high-quality, maintainable GUI testing workflows. -
23
Text2SQL.AI
Text2SQL.AI
Generate SQL with AI in seconds. Turn your thoughts into complex SQL queries using natural language. Text2SQL.AI uses theOpenAI GPT-3 Codexmodel which can translate English prompts to SQL queries, and SQL queries to English text. It is currently the most advanced Natural Language Processing tool available, and this is the exact same model which used by Github Copilot. The app currently supports: SQL generation from English textual instructions. Supports SELECT, UPDATE, DELETE queries, CREATE and ALTER TABLE requests, constraints, window functions, and literally everything! SQL query explanation to plain English Your custom database schema (tables, fields, types) connection (with history) SQL dialects for MySQL, PostgreSQL, Snowflake, BigQuery, MS SQL Server... If you have any other feature request, please let us know. -
24
Logflare
Logflare
Never get surprised by a logging bill again, collect for years, query in seconds. Costs escalates quickly with typical log management solutions. To setup long term analytics on events you need to archive to a CSV and setup another data pipeline to ingest events into a custom tailored data warehouse. With Logflare and BigQuery there is no setup for long term analytics. You can ingest immediately, query in seconds and store data for years. Use our Cloudflare app and catch every request to your web service no matter what. Our Cloudflare App worker doesn't modify your request, it simply pulls the request/response data and logs to Logflare asynchronously after passing your request through. Want to monitor your Elixir app? Our library adds minimal overhead. We batch logs and use BERT binary serialization to keep payload size and serialization load low. When you sign in with your Google account, we give you access to your underlying BigQuery table.Starting Price: $5 per month -
25
Unravel
Unravel Data
Unravel is an AI-native data observability platform designed to help modern enterprises detect, resolve, and prevent data issues at scale. It uses intelligent, automated agents that work alongside data teams to surface insights, guide decisions, and reduce operational toil. Unravel brings data observability and FinOps together, enabling organizations to improve performance, ensure reliability, and optimize cloud data spending. The platform provides end-to-end visibility across pipelines, workloads, and infrastructure. With agent-driven actionability™, Unravel can take action on behalf of teams, integrate directly with existing tools, or recommend next-best actions. It supports major data platforms including Databricks, Snowflake, and Google Cloud BigQuery. By combining automation with human control, Unravel transforms data observability into a collaborative, always-on partner. -
26
autoMagiQ
Qentelli LLC
autoMagiQ is a no code automation platform for modern continuous engineering teams that integrates into your EngineeringOps ecosystem seamlessly. Deliver world class digital experiences by validating your applications using reliable automation tests. -
27
Functionize
Functionize
Today’s speed of change demands a new way of testing. Empower your teams to build smart tests that don’t break and can scale in the cloud. Rapidly create AI powered tests using the smart agent (Architect) or convert steps written in plain-text English into automation using natural language processing. Stop wasting time fixing broken tests. Functionize dynamically updates your tests using machine learning to keep up with UI changes. Quickly diagnose test failures with one-click SmartFix suggestions. Quickly diagnose failures with screenshot comparisons and and easy to understand errors. Interact with your test while it runs live on the VM using breakpoints with Live Debug. Update your tests using Smart Screenshots and apply one-click SmartFix suggestions. Eliminate test infrastructure. Run as many tests as often as needed across all major browsers at scale using Functionize’s Test Cloud. -
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Agile Data Engine
Agile Data Engine
Agile Data Engine is a comprehensive DataOps platform designed to streamline the development, deployment, and operation of cloud-based data warehouses. It integrates data modeling, transformations, continuous deployment, workflow orchestration, monitoring, and API connectivity within a single SaaS solution. The platform's metadata-driven approach automates SQL code generation and data load workflows, enhancing productivity and agility in data operations. Supporting multiple cloud database platforms, including Snowflake, Databricks SQL, Amazon Redshift, Microsoft Fabric (Warehouse), Azure Synapse SQL, Azure SQL Database, and Google BigQuery, Agile Data Engine offers flexibility in cloud environments. Its modular data product framework and out-of-the-box CI/CD pipelines facilitate seamless integration and continuous delivery, enabling data teams to adapt swiftly to changing business requirements. The platform also provides insights and statistics on data platform performance. -
29
Google VPC Service Controls
Google
VPC Service Controls. Managed networking functionality for your Google Cloud resources. New customers get $300 in free credits to spend on Google Cloud during the first 90 days. All customers get free usage (up to monthly limits) of select products, including BigQuery and Compute Engine. Mitigate exfiltration risks by isolating multi-tenant services. Ensure sensitive data can only be accessed from authorized networks. Restrict resource access to allowed IP addresses, identities, and trusted client devices. Control which Google Cloud services are accessible from a VPC network. Enforce a security perimeter with VPC Service Controls to isolate resources of multi-tenant Google Cloud services—reducing the risk of data exfiltration or data breach. Configure private communication between cloud resources from VPC networks spanning cloud and on-premises hybrid deployments. Take advantage of fully managed tools like Cloud Storage, Bigtable, and BigQuery. -
30
Scandium
Scandium
Scandium is a no-code test automation platform designed to simplify and streamline the creation and maintenance of automated test cases. Tailored for Software Testers, SDETs, Product Managers, and Developers, Scandium transforms software testing by making it accessible, efficient, and collaborative. With features like Scenario Recording, users can easily record website interactions through the Scandium extension, converting them into reusable test steps. It supports both local and remote test executions, enabling tests to be run on local browsers or via the Scandium Cloud Runner. Scandium also integrates smoothly into CI/CD pipelines, supporting platforms such as CircleCI, Jenkins, GitHub Actions, and GitLab. The platform excels in test management, allowing teams to manage, track, and organize testing efforts collaboratively. Scandium even supports Email and SMS Testing, without the need for dedicated inbox environments. -
31
Tricentis Tosca
Tricentis
No-code, Automated Continuous Testing. Tricentis Tosca, the #1 Continuous Testing platform, accelerates testing with a script-less, no-code approach for end-to-end test automation. With support for over 160+ technologies and enterprise applications, Tosca provides resilient test automation for any use case. Learn how Tricentis Tosca can help you: - Deliver fast feedback for Agile and DevOps - Reduce regression testing time to minutes - Maximize reuse and maintainability - Gain clear insight into business risk - Integrate and extend existing test assets (HPE UFT, Selenium, SoapUI…) -
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Managed Service for Apache Spark is a Google Cloud solution that simplifies running Apache Spark workloads with either serverless execution or fully managed clusters. It allows users to process large-scale data without needing to manage infrastructure, reducing operational complexity. The platform features Lightning Engine, which accelerates Spark performance by up to 4.9 times compared to open-source Spark. It supports data engineering, data science, and machine learning workflows at scale. Integration with Gemini enables AI-powered development, including automated code generation and troubleshooting. The service works seamlessly with open data formats like Apache Iceberg and integrates with tools like BigQuery and Knowledge Catalog. It offers flexible deployment options to suit different workloads and use cases. Overall, it provides a faster, smarter, and more efficient way to run Spark workloads in the cloud.
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33
Compass
Dagster Labs
Compass is an AI-powered, Slack-native data assistant that turns plain English questions into instant answers, summaries, charts, and insights powered by your actual warehouse data, so teams can make data-driven decisions without waiting on BI backlogs or building dashboards first. It connects directly to major data warehouses (Snowflake, BigQuery, Redshift, Postgres, AWS Athena, Databricks, and more), learns your schema and context, and generates governed, SQL-backed responses and visualizations in the tools your team already uses, all while keeping your data where it lives and under your control. Compass builds organizational context over time so answers become more accurate and relevant, supports collaboration through Slack threads, can schedule recurring analysis, and provides a shared repository of definitions and insights that help reduce analytical silos and reliance on specialized SQL users.Starting Price: $49 per month -
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Google Cloud Healthcare API
Google
The Google Cloud Healthcare API is a fully managed service that enables secure and scalable data exchange between healthcare applications and solutions. It supports industry-standard protocols and formats, including DICOM, FHIR, and HL7v2, allowing for the ingestion, storage, and analysis of healthcare data within the Google Cloud environment. By integrating with advanced analytics and machine learning tools such as BigQuery, AutoML, and Gemini Enterprise Agent Platform, the API empowers healthcare organizations to derive actionable insights and drive innovation in patient care and operational efficiency. -
35
Y42
Datos-Intelligence GmbH
Y42 is the first fully managed Modern DataOps Cloud. It is purpose-built to help companies easily design production-ready data pipelines on top of their Google BigQuery or Snowflake cloud data warehouse. Y42 provides native integration of best-of-breed open-source data tools, comprehensive data governance, and better collaboration for data teams. With Y42, organizations enjoy increased accessibility to data and can make data-driven decisions quickly and efficiently. -
36
Hyper-Q
Datometry
Adaptive Data Virtualization™ technology enables enterprises to run their existing applications on modern cloud data warehouses, without rewriting or reconfiguring them. Datometry Hyper-Q™ lets enterprises adopt new cloud databases rapidly, control ongoing operating expenses, and build out analytic capabilities for faster digital transformation. Datometry Hyper-Q virtualization software allows any existing applications to run on any cloud database, making applications and databases interoperable. Enterprises can now adopt the cloud database of choice, without having to rip, rewrite and replace applications. Enables runtime application compatibility with Transformation and Emulation of legacy data warehouse functions. Deploys transparently on Azure, AWS, and GCP clouds. Applications can use existing JDBC, ODBC and Native connectors without changes. Connects to major cloud data warehouses, Azure Synapse Analytics, AWS Redshift, and Google BigQuery. -
37
Liquid Studio
Liquid Technologies
Liquid Studio provides an advanced toolkit for XML and JSON development along with Web Service Testing and Data Mapping and Data Transformation tools. The Development Environment contains a complete set of tools for designing XML and JSON data structures and schemas. These tools provide editing, validating and advanced transformation capabilities. For novice or expert, the intuitive interface and comprehensive features will help you save time and money delivering a successful project. Visualize and edit an abstracted view of your XML schema(XSD) using an intuitive user interface, and validate your XSD against the W3C standards.Includes split graphical and text views, intellisense, syntax highlighting, drag and drop, copy and paste, and multi-step undo/redo. Visualize and edit an abstracted view of your JSON schema using an intuitive user interface, and validate your JSON Schema against the IETF standards.Starting Price: $149 one-time payment -
38
Gemini Enterprise Agent Platform Notebooks provide a unified environment for data science workflows, combining the flexibility of Colab Enterprise with the power of Agent Platform Workbench. These notebooks enable users to explore data, build models, and deploy solutions without switching between multiple tools. With seamless integration into Google Cloud services like BigQuery and Apache Spark, users can analyze large datasets directly within the notebook interface. The platform supports rapid prototyping and model development by offering scalable compute resources and AI-powered coding assistance. It allows teams to move from experimentation to production efficiently using end-to-end workflows. Fully managed infrastructure ensures scalability, cost optimization, and minimal operational overhead. Enterprise-grade security features such as single sign-on and access controls provide a safe environment for development.Starting Price: $10 per GB
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39
Google Analytics 360
Google
Analytics 360 is designed to meet the specific measurement needs of large enterprises, providing advanced customization options, scalable tools, and enterprise-grade support. Find out how your customers interact throughout their life cycle with your websites and applications. Leverage Google machine learning to get more out of your data. So you can discover new statistics and anticipate the behavior of your customers. Optimize the performance of your marketing strategy with integrations between Google's ad platforms and publisher platforms. Analyze your data quickly and collaborate with your team in an intuitive interface and with reports that can be shared. Our service level guarantees, and SLAs, give you complete peace of mind on many product features, from data collection to attribution, as well as daily exports to BigQuery. Get the most out of your analytics with premium features like enhanced data refresh, and intraday data availability within one hour of collection. -
40
Google Cloud Data Fusion
Google
Open core, delivering hybrid and multi-cloud integration. Data Fusion is built using open source project CDAP, and this open core ensures data pipeline portability for users. CDAP’s broad integration with on-premises and public cloud platforms gives Cloud Data Fusion users the ability to break down silos and deliver insights that were previously inaccessible. Integrated with Google’s industry-leading big data tools. Data Fusion’s integration with Google Cloud simplifies data security and ensures data is immediately available for analysis. Whether you’re curating a data lake with Cloud Storage and Dataproc, moving data into BigQuery for data warehousing, or transforming data to land it in a relational store like Cloud Spanner, Cloud Data Fusion’s integration makes development and iteration fast and easy. -
41
InventDB
InventDB
InventDB is an encrypted JSON database that combines schema-free data storage with SQL querying capabilities, enabling developers to work with flexible data structures while retaining the power of relational querying. It is designed to support full ACID transactions, ensuring consistency, reliability, and durability of data operations even in complex or concurrent environments. It incorporates row-level encryption, allowing sensitive data to be protected at a granular level rather than relying solely on database-wide security, which enhances data privacy and control. In addition to its core database functionality, InventDB includes a built-in key-value cache to improve performance and speed up data access for frequently used information. It also integrates semantic capabilities, enabling more intelligent data retrieval and interactions beyond traditional query methods.Starting Price: $18 per month -
42
Bitdive
Bitdive
BitDive is a zero-code quality and test automation platform for Java, Kotlin, Spring Boot and other JVM-based applications that captures real executions and converts them into reusable, deterministic test scenarios you can replay in CI, staging or on a developer machine without writing or maintaining test code. BitDive runs as a lightweight library dependency and records full context from real traffic including HTTP/gRPC requests and responses, method calls, SQL queries with parameters and results, service interactions and timings, enabling deep method-level observability, distributed tracing, performance profiling and semantic drift detection. Its capture-replay-verify loop lets teams automatically generate regression suites and JUnit tests from actual executions, reproduce and debug production bugs locally with full execution chains, eliminate fragile mocks and flaky tests, and validate behavior changes before deployment. BitDive also visualizes service maps and heatmaps.Starting Price: Free -
43
Salesforce Data 360
Salesforce
Data 360 is Salesforce’s next-generation data platform, evolving from Data Cloud to unify and activate enterprise data in real time. It connects fragmented data across systems into a single, trusted Customer 360 view without requiring data movement. Through Zero-Copy integrations, Data 360 works directly with platforms like Snowflake, Databricks, BigQuery, and AWS. The platform harmonizes structured and unstructured data to power personalized experiences and intelligent workflows. Built-in identity resolution and governance tools ensure data accuracy, compliance, and privacy. Data 360 enables real-time segmentation, predictive insights, and triggered automation across Salesforce and external applications. It serves as the data foundation for Agentforce, delivering context-rich intelligence to AI agents and business teams. -
44
Tabular
Tabular
Tabular is an open table store from the creators of Apache Iceberg. Connect multiple computing engines and frameworks. Decrease query time and storage costs by up to 50%. Centralize enforcement of data access (RBAC) policies. Connect any query engine or framework, including Athena, BigQuery, Redshift, Snowflake, Databricks, Trino, Spark, and Python. Smart compaction, clustering, and other automated data services reduce storage costs and query times by up to 50%. Unify data access at the database or table. RBAC controls are simple to manage, consistently enforced, and easy to audit. Centralize your security down to the table. Tabular is easy to use plus it features high-powered ingestion, performance, and RBAC under the hood. Tabular gives you the flexibility to work with multiple “best of breed” compute engines based on their strengths. Assign privileges at the data warehouse database, table, or column level.Starting Price: $100 per month -
45
Google Earth Engine
Google
Google Earth Engine is a cloud-based platform for scientific analysis and visualization of geospatial datasets, providing access to a vast public data archive that includes over 90 petabytes of analysis-ready satellite imagery and more than 1,000 curated geospatial datasets. This extensive catalog encompasses over 50 years of historical imagery, updated daily, with resolutions as fine as one meter per pixel, featuring datasets such as Landsat, MODIS, Sentinel, and the National Agriculture Imagery Program (NAIP). Earth Engine enables users to analyze Earth observation data and apply machine learning techniques through its web-based JavaScript Code Editor and Python API, facilitating the development of complex geospatial workflows. The platform's integration with Google Cloud allows for large-scale parallel processing, empowering users to conduct comprehensive analyses and visualize Earth data efficiently. Additionally, Earth Engine offers interoperability with BigQuery.Starting Price: $500 per month -
46
Katalon Studio
Katalon
An all-in-one test automation solution Get started in no time, scale up with no limit, for any team, at any level. Katalon Studio Robust test generation on all platforms Productive IDE to generate automated tests easily for all platforms and OSs, regardless of application complexity. Powerful recording utility for effortlessly storing all UI elements to maximize reusability. Codeless experience for beginners. Infinite testing extension for experts. Set Up Projects Built-in project templates Start immediately with ready-made templates, test case libraries, keywords, and object repositories. All kinds of end-to-end testing in one place Uniquely perform web, mobile, API, and desktop testing – all in a single project. -
47
Fulfil
Fulfil
Fulfil is a modern ERP platform purpose-built for direct-to-consumer (DTC) and Shopify-based brands that need to unify operations, finance, and fulfillment under one roof. Designed to replace outdated, consultant-heavy systems, Fulfil integrates natively with Shopify, Amazon, and over 400+ 3PL locations to deliver real-time visibility across inventory, orders, and financials. Its AI-assisted setup, automated revenue recognition, and intelligent order routing allow brands to go live in weeks—not months. The platform handles complex operations like deferred revenue, bundle inventory allocation, and multi-warehouse management with ease. Fulfil also includes a fully managed BigQuery data warehouse and AI copilot that transforms natural language into actionable insights. Trusted by leading brands like Mejuri, Hexclad, and Evereden, Fulfil empowers modern commerce with simplicity, automation, and scale. -
48
Datagaps ETL Validator
Datagaps
DataOps ETL Validator is the most comprehensive data validation and ETL testing automation tool. Comprehensive ETL/ELT validation tool to automate the testing of data migration and data warehouse projects with easy-to-use low-code, no-code component-based test creation and drag-and-drop user interface. ETL process involves extracting data from various sources, transforming it to fit operational needs, and loading it into a target database or data warehouse. ETL testing involves verifying the accuracy, integrity, and completeness of data as it moves through the ETL process to ensure it meets business rules and requirements. Automating ETL testing can be achieved using tools that automate data comparison, validation, and transformation tests, significantly speeding up the testing cycle and reducing manual labor. ETL Validator automates ETL testing by providing intuitive interfaces for creating test cases without extensive coding. -
49
Orchestra
Orchestra
Orchestra is a Unified Control Plane for Data and AI Operations, designed to help data teams build, deploy, and monitor workflows with ease. It offers a declarative framework that combines code and GUI, allowing users to implement workflows 10x faster and reduce maintenance time by 50%. With real-time metadata aggregation, Orchestra provides full-stack data observability, enabling proactive alerting and rapid recovery from pipeline failures. It integrates seamlessly with tools like dbt Core, dbt Cloud, Coalesce, Airbyte, Fivetran, Snowflake, BigQuery, Databricks, and more, ensuring compatibility with existing data stacks. Orchestra's modular architecture supports AWS, Azure, and GCP, making it a versatile solution for enterprises and scale-ups aiming to streamline their data operations and build trust in their AI initiatives. -
50
Vanna.AI
Vanna.AI
Vanna.AI is an AI-powered platform designed to help users interact with their databases by asking questions in natural language. It enables both beginners and experts to quickly obtain insights from large datasets without needing to write complex SQL queries. Users simply ask a question, and Vanna automatically identifies the relevant tables and columns to retrieve the data needed. The platform integrates with popular databases like Snowflake, BigQuery, and Postgres and supports various front-end implementations such as Jupyter Notebooks, Slackbots, and web apps. Vanna's open source model allows for secure, self-hosted deployments and can continuously improve its performance as it learns from the user's interactions. It is ideal for businesses looking to democratize access to data insights and simplify the query process.Starting Price: $25 per month
