Top Free Data Warehouse Solutions - Page 2

How Many Data Warehouse Solutions Products Does G2 Track?

Total Products under this Category: 122

Category Stats (Sep 2026)

  • Average Rating: 4.37/5 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 Data Warehouse Solutions Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 7,500+ Authentic Reviews
  • 122+ 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 Data Warehouse Solutions

G2 Grid® for Data Warehouse Solutions plotting products by satisfaction and market presence

Highlighted products: Databricks, Google Cloud BigQuery, Snowflake, SAP Datasphere, IBM watsonx.data, Amazon Redshift, Teradata Autonomous Knowledge Platform, and VMware Greenplum.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-warehouse/grids.json?focus%5B%5D=databricks&focus%5B%5D=google-cloud-bigquery&focus%5B%5D=snowflake&focus%5B%5D=sap-datasphere&focus%5B%5D=ibm-watsonx-data&focus%5B%5D=amazon-redshift&focus%5B%5D=teradata-autonomous-knowledge-platform&focus%5B%5D=vmware-greenplum)

Zap Data Hub

Zap Data Hub is a data warehouse automation solution that streamlines the extraction, loading and transformation (ELT) of ERP and business data into a centralized, governed warehouse for reporting and analytics. Zap Data Hub is used by finance, operations and IT teams who need a faster, more structured way to integrate ERP data from platforms such as Microsoft Dynamics 365, SAP Business One, Sage and SYSPRO alongside other business sources like CRM, payroll and inventory systems. It automates the heavy lifting involved in data integration and preparation, allowing businesses to build a trusted data foundation without extensive coding or manual processes. By automatically mapping, transforming and loading data into a warehouse, Zap eliminates reliance on spreadsheets, manual extracts and disconnected reporting. It creates a governed semantic model that ensures consistent metrics across tools like the Power BI integration, Excel add-in and browser-based reporting. Zap can be deployed in the cloud or on-premises, with support for Microsoft Fabric. Key features and value points • End-to-end data warehouse automation that structures and governs data from ERP and other business systems • Pre-built ERP connectors and models that accelerate deployment and reduce implementation effort • Governed semantic model that ensures consistent, trusted reporting across business units and analytics tools • Reporting support through the Excel add-in, Power BI integration and browser-based options • Deployment flexibility offering cloud-based or on-premises options • Future-ready architecture that integrates with Microsoft Fabric and supports evolving analytics needs Zap Data Hub is suited to organizations that want to automate their reporting data foundations, improve governance and drive business insights without the complexity of manual data engineering.

Average Rating: 4.3/5.0

Total Reviews: 44

How Do G2 Users Rate Zap Data Hub?

  • Ease of Use: 8.0/10 (Category avg: 8.7/10)
  • Data Governance: 7.6/10 (Category avg: 8.4/10)
  • Data Security: 7.7/10 (Category avg: 8.8/10)
  • Scalability: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Zap Data Hub?

  • Seller: ZAP
  • Year Founded: 2001
  • HQ Location: Brisbane, Australia
  • Twitter: @ZAP_Data
    1,552 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    87 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Oil & Energy, Computer Software
  • Company Size: 61% Medium, 28% Large

What Do G2 Reviewers Say About Zap Data Hub?

AI-generated summary from verified user reviews

Pros
  • Users praise the ease of use of Zap Data Hub, emphasizing effortless data integration and real-time access.
  • Users value the easy data integration with Zap Data Hub, simplifying ETL processes and enhancing operational efficiency.
  • Users appreciate the excellent customer support from the Zap Team, enhancing their overall experience and satisfaction.
  • Users value the clean reporting functionality of Zap Data Hub, appreciating its seamless integration and time-saving capabilities.
  • Users appreciate the robust analytics capabilities of Zap Data Hub, enabling seamless data integration and BI reporting.
Cons
  • Users find the steep learning curve of Zap Data Hub challenging, requiring support for comfortable usage and report development.
  • Users face complexity challenges when connecting to live Excel data and performing certain calculations effectively.
  • Users face challenges with importing Excel data, particularly with live connections and large file management.
  • Users face challenges with connecting to Excel sources and report exports, affecting overall usability of Zap Data Hub.
  • Users note a steep learning curve, making it challenging for occasional users to navigate and utilize effectively.

What Are Recent G2 Reviews of Zap Data Hub?

Aden

Aden is the first self-evolving execution engine designed to move AI agents beyond static, brittle flowcharts. Instead of breaking when an API changes or a prompt is ambiguous, the system uses a "Queen Bee" architecture to synthesize new logic in real-time. It captures failure traces, updates its internal Goal Object, and automatically refactors its own code to overcome obstacles. By shifting from manual orchestration to autonomous evolution, Aden enables engineers to focus on defining outcomes rather than babysitting brittle scripts.

Average Rating: 5.0/5.0

Total Reviews: 34

How Do G2 Users Rate Aden?

  • Ease of Use: 9.7/10 (Category avg: 8.7/10)
  • Data Governance: 9.5/10 (Category avg: 8.4/10)
  • Data Security: 9.3/10 (Category avg: 8.8/10)
  • Scalability: 9.4/10 (Category avg: 8.5/10)

Who Is the Company Behind Aden?

  • Seller: Acho
  • Year Founded: 2020
  • HQ Location: Boston, MA
  • Twitter: @acho
    31 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    57 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 68% Small, 18% Medium

What Are Recent G2 Reviews of Aden?

What Are G2 Users Discussing About Aden?

Yellowbrick

Yellowbrick is a high-performance, cloud-native data platform designed for hybrid multi-cloud and on-premises environments. It supports a wide variety of workloads, including traditional data warehousing, real-time streaming analytics, application analytics, and AI/ML workloads. Yellowbrick's architecture leverages the power of Kubernetes to deliver scalability, elasticity, and operational simplicity through SQL or a web interface, abstracting any user Kubernetes management. It provides unmatched speed and efficiency in SQL analytics, powered by the Direct Data Accelerator® and supports simultaneous querying and data loading with no impact on performance.

Average Rating: 4.9/5.0

Total Reviews: 14

How Do G2 Users Rate Yellowbrick?

  • Ease of Use: 9.4/10 (Category avg: 8.7/10)
  • Data Governance: 9.4/10 (Category avg: 8.4/10)
  • Data Security: 9.4/10 (Category avg: 8.8/10)
  • Scalability: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Yellowbrick?

  • Seller: Yellowbrick Data
  • Year Founded: 2014
  • HQ Location: Mountain View, US
  • Twitter: @YellowbrickData
    6,853 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    82 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 71% Large, 29% Medium

What Are Recent G2 Reviews of Yellowbrick?

What Are G2 Users Discussing About Yellowbrick?

lyftrondata

Your ultimate next-gen agile, data delivery platform with modern cloud data warehouse & lake. Create and manage all of your data workloads on one platform. Boost the productivity of your data professionals and shorten your time to value in order to deliver modern and integrated data solutions swiftly from anywhere in your organization. We build the best data models around various source API’s, to ensure you will get all of your data and can query the non relational source like API/Json/XML with ANSI Sql. Move on if you data platform is not moving you forward with Lyftron govern and secure data delivery platform for your data migration and modernization needs as Lyftron eliminates traditional ETL/EDW bottlenecks with automatic data pipeline & modern next-gen cloud warehouse which makes data instantly accessible to BI user with the modern cloud compute of Spark & Snowflake. Lyftron connectors automatically convert any source into normalized, ready-to-query relational format and provide search capability on your enterprise data catalog. At Lyftron Data, we eliminate the time spent by engineers building data pipelines manually- and make data instantly accessible to analysts by providing real-time access to all your data with simple ANSI SQL. Our pre-built connectors automatically deliver data to warehouses in normalized, ready-to-query schemas and provide data governance and sensitive data encryption capability.

Average Rating: 4.9/5.0

Total Reviews: 131

How Do G2 Users Rate lyftrondata?

  • Ease of Use: 9.9/10 (Category avg: 8.7/10)
  • Data Governance: 10.0/10 (Category avg: 8.4/10)
  • Data Security: 10.0/10 (Category avg: 8.8/10)
  • Scalability: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind lyftrondata?

  • Seller: Lyftron
  • Year Founded: 2019
  • HQ Location: Reston, Virginia
  • Twitter: @lyftron
    22 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    129 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Architect, Data Analyst
  • Top Industries: Information Technology and Services, Health, Wellness and Fitness
  • Company Size: 84% Medium, 11% Small

What Are Recent G2 Reviews of lyftrondata?

What Are G2 Users Discussing About lyftrondata?

Tembo

Tembo is a multi-workload Postgres managed service that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads. With robust SaaS and self hosted deployment options, Tembo enables everyone – from the smallest startups to the Fortune 500 – to go “all in” on Postgres, achieving unprecedented stability and efficiency across a variety of applications and use cases. With Tembo, customers get all the stability, reliability, and extensibility of Postgres open source with enhanced observability, compliance, and developer experience.

Average Rating: 4.7/5.0

Total Reviews: 26

How Do G2 Users Rate Tembo?

  • Ease of Use: 9.4/10 (Category avg: 8.7/10)
  • Data Governance: 9.6/10 (Category avg: 8.4/10)
  • Data Security: 9.6/10 (Category avg: 8.8/10)
  • Scalability: 9.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Tembo?

  • Seller: Tembo
  • Year Founded: 2022
  • HQ Location: Cincinnati, US
  • Twitter: @tembo_io
    3 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    32 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 85% Small, 15% Medium

What Do G2 Reviewers Say About Tembo?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Tembo, finding it simple to set up and manage tasks effectively.
  • Users love the user-friendly dashboard of Tembo, which simplifies task management and enhances team collaboration.
  • Users value the easy integrations with various data sources, streamlining their workflow and enhancing data management.
  • Users appreciate the ease of setup with Tembo, enabling quick deployment and user-friendly navigation.
  • Users value the easy integrations of Tembo, enhancing efficiency and simplifying complex data management tasks effortlessly.
Cons
  • Users find the limited flexibility of Tembo frustrating, as it restricts integration and customization options.
  • Users find the limited integration to only AWS a significant drawback, wishing for broader cloud service support.
  • Users highlight the restrictive cloud limitations of Tembo, particularly its exclusive support for AWS.
  • Users find Tembo to be expensive, especially for small businesses due to variable pricing and additional service costs.
  • Users find the limited customization of Tembo restrictive, impacting flexibility and functionality for their specific needs.

What Are Recent G2 Reviews of Tembo?

Mozart Data

Backed by award-winning data analyst support, Mozart Data is the fastest way to set up scalable, reliable data infrastructure that doesn’t need to be maintained by you. Mozart Data’s all-in-one modern data platform empowers anyone to easily centralize, organize, and analyze their data without engineering resources. Instead of piecing together multiple tools, companies get everything they need to spin up a data stack in an hour — ETL, a data warehouse, and a data transformation tool — and gain visibility into their data pipelines. Join other data-driven companies, like Zeplin, Rippling, Modern Treasury, and Tempo, that are already getting the most out of their data. Learn more at https://www.mozartdata.com

Average Rating: 4.6/5.0

Total Reviews: 68

How Do G2 Users Rate Mozart Data?

  • Ease of Use: 9.3/10 (Category avg: 8.7/10)
  • Data Governance: 8.2/10 (Category avg: 8.4/10)
  • Data Security: 8.9/10 (Category avg: 8.8/10)
  • Scalability: 9.2/10 (Category avg: 8.5/10)

Who Is the Company Behind Mozart Data?

  • Seller: Mozart Data
  • Year Founded: 2020
  • HQ Location: San Francisco, US
  • Twitter: @MozartData
    447 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    16 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Financial Services
  • Company Size: 53% Small, 47% Medium

What Are Recent G2 Reviews of Mozart Data?

What Are G2 Users Discussing About Mozart Data?

Keboola

Keboola is a finance data and AI platform for companies that need trusted financial reporting, planning, analysis, and close processes across complex systems. Built for CFOs, FP&A teams, Controllers, finance operations, and data teams, Keboola helps organizations turn fragmented data from ERPs, accounting systems, spreadsheets, CRM, warehouses, and operational tools into one governed foundation for financial intelligence. Many finance teams rely on disconnected systems, inconsistent charts of accounts, manual reconciliations, and spreadsheet-based reporting. This makes it difficult to close quickly, produce reliable forecasts, answer board questions, support acquisitions, or use AI safely with financial data. Keboola solves this upstream data problem by connecting, standardizing, transforming, and governing financial data before it reaches FP&A, CPM, BI, reporting, or AI tools. Keboola is especially valuable for multi-entity companies, private-equity-backed businesses, holding groups, financial services firms, franchises, and organizations growing through M&A. These companies often operate across multiple ERPs, entities, countries, currencies, and reporting definitions. Keboola helps standardize chart-of-accounts logic, automate financial data pipelines, reconcile data across systems, and create trusted business definitions that teams can use consistently. Unlike traditional FP&A, CPM, EPM, budgeting, forecasting, or financial reporting tools that assume clean data already exists, Keboola focuses on the governed data foundation underneath. The platform gives teams transparent, auditable logic for financial transformations, source-to-output lineage, reusable business rules, and a semantic layer that helps ensure reports, dashboards, forecasts, and AI outputs are based on trusted company data. Keboola works alongside existing tools such as Snowflake, BigQuery, Databricks, Microsoft Fabric, Power BI, Tableau, Looker, Anaplan, Pigment, DataRails, Workiva, and other finance and analytics platforms. Rather than forcing a rip-and-replace project, Keboola strengthens the data layer beneath these systems so finance teams can plan, report, reconcile, and analyze with greater confidence. For AI adoption, Keboola provides the governed data environment that makes AI practical for business-critical financial workflows. Teams can connect AI agents and assistants to approved metrics, trusted pipelines, financial definitions, and auditable data products, reducing the risk of confident but untraceable answers. With Keboola, organizations can improve financial analysis, accelerate reporting, support financial close, automate reconciliation workflows, enable more reliable FP&A, and create a trusted foundation for AI-powered finance.

Average Rating: 4.6/5.0

Total Reviews: 138

How Do G2 Users Rate Keboola?

  • Ease of Use: 8.6/10 (Category avg: 8.7/10)
  • Data Governance: 0.0/10 (Category avg: 8.4/10)
  • Data Security: 8.3/10 (Category avg: 8.8/10)
  • Scalability: 1.7/10 (Category avg: 8.5/10)

Who Is the Company Behind Keboola?

  • Seller: Keboola
  • Year Founded: 2008
  • HQ Location: Prague
  • Twitter: @keboola
    2,004 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    92 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, Data Engineer
  • Top Industries: Information Technology and Services, Marketing and Advertising
  • Company Size: 63% Medium, 22% Small

What Do G2 Reviewers Say About Keboola?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Keboola, enjoying its intuitive interface and efficient data connection setup.
  • Users appreciate Keboola's wide variety of connectors, intuitive interface, and powerful automation features for data integration.
  • Users value Keboola's wide range of data connections and intuitive interface, enhancing their data management experience.
  • Users value the seamless integrations in Keboola, enhancing data workflows and orchestration with minimal limitations.
  • Users praise Keboola's responsive and helpful customer support, enhancing their overall experience with the platform.
Cons
  • Users struggle with the steep learning curve of Keboola, finding the setup of services and training insufficient.
  • Users find Keboola's interface complex and confusing, especially when managing large projects and navigating components.
  • Users find a steep learning curve with Keboola, especially due to fragmented setups and challenging training materials.
  • Users find data type management complicated, needing more guidance on transformation errors and advanced monitoring capabilities.
  • Users find the UX improvement necessary due to a complicated interface and messy data management with flows.

What Are Recent G2 Reviews of Keboola?

What Are G2 Users Discussing About Keboola?

Druid

Apache Druid is an open source real-time analytics database. Druid combines ideas from OLAP/analytic databases, timeseries databases, and search systems to create a complete real-time analytics solution for real-time data. It includes stream and batch ingestion, column-oriented storage, time-optimized partitioning, native OLAP and search indexing, SQL and REST support, flexible schemas; all with true horizontal scalability on a shared nothing, cloud native architecture that makes it easy to deploy, monitor and manage at scale. It is downloadable for free for unlimited use from druid.apache.org and also hosted in the cloud by Imply Data.

Average Rating: 4.3/5.0

Total Reviews: 28

How Do G2 Users Rate Druid?

  • Ease of Use: 8.0/10 (Category avg: 8.7/10)
  • Data Governance: 8.3/10 (Category avg: 8.4/10)
  • Data Security: 9.4/10 (Category avg: 8.8/10)
  • Scalability: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Druid?

  • Seller: Druid
  • Year Founded: 1998
  • HQ Location: Rio de Janeiro, Rio de Janeiro
  • Twitter: @druid
    4 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    89 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 52% Large, 29% Medium

What Are Recent G2 Reviews of Druid?

What Are G2 Users Discussing About Druid?

Oracle Autonomous Data Warehouse

What Is Oracle Autonomous Data Warehouse? Autonomous Data Warehouse is a fully managed database that’s tuned and optimized for data warehouse workloads. It combines the market-leading performance of Oracle Database with the ease of Autonomous Database, and is self-driving, self-securing, and self-repairing. Get faster access to analytics, instant elasticity, and smarter data from your data warehouse in the cloud. Autonomous Data Warehouse eliminates error-prone data management processes with powerful self-driving, self-securing, and self-repairing capabilities. Stop worrying about your data management and focus on growing your business with fast, easy, and secure access to your data. Easy - Fully autonomous database - Automated provisioning, patching, and upgrades - Automated backups - Automated performance tuning Fast - Built on Exadata, so you can expect high performance, scalability, and reliability. - It’s also built on key Oracle Database capabilities: parallelism, columnar processing, and compression Elastic - Elastic scaling of compute and storage, without downtime. You only pay for resources consumed. Whether you’re a data warehouse developer, business user, or data scientist, with Autonomous Data Warehouse you gain a comprehensive cloud experience for data warehousing—one that’s fully self-driving, with all of the complicated parts taken care of for you. But not only that, because Autonomous Data Warehouse uses the same Oracle Database software and technology that runs on Oracle on-premises marts, data warehouses, and applications, it’s compatible with your existing data warehouse, data integration, and BI tools. See how this frees you up for data exploration with a free cloud trial of Autonomous Data Warehouse.

Average Rating: 4.3/5.0

Total Reviews: 9

How Do G2 Users Rate Oracle Autonomous Data Warehouse?

  • Ease of Use: 9.6/10 (Category avg: 8.7/10)
  • Data Governance: 10.0/10 (Category avg: 8.4/10)
  • Data Security: 10.0/10 (Category avg: 8.8/10)
  • Scalability: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Oracle Autonomous Data Warehouse?

  • Seller: Oracle
  • Year Founded: 1977
  • HQ Location: Austin, TX
  • Twitter: @Oracle
    827,997 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    207,576 employees on LinkedIn®
  • Ownership: NYSE:ORCL

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 53% Medium, 27% Large

What Are Recent G2 Reviews of Oracle Autonomous Data Warehouse?

Denodo

Denodo is a leader in data management. The award-winning Denodo Platform is the leading logical data management platform for transforming data to trustworthy insights and outcomes for all data-related initiatives across the enterprise, including AI and self-service. Denodo's customers in all industries all over the world have delivered trusted AI-ready and business-ready data in a third of the time and with 10x better performance than with lakehouses and other mainstream data platforms alone. The Denodo Platform includes the following capabilities: - A semantic layer, with semantic search and embedded data prep in a self-service data catalog. - Unified, real-time-updated data views without expensive replication or copying of data. - Native connectors to over 200 source systems, both cloud and on-premises - An AI SDK which implements metadata-driven RAG (retrieval augmented generation) to provide trusted data to AI agents. - Query acceleration, improving lakehouse performance by 10x while also reducing compute and storage costs. - Federated enterprise-wide governance and privacy compliance. - Greater automation of common data engineering tasks, with the AI-powered Denodo Assistant. Enterprises world-wide across every major industry have used Denodo to achieve greater business self-service and agility, improve operational visibility and efficiency, optimize the performance and cost of modern data infrastructure such as Lakehouses, and ensure success of their AI initiatives. Denodo now offers two options to meet these needs: the Denodo Platform, deployable in all Clouds (AWS, Azure, GCP and Alibaba) and on-premises for full control, and Agora, our fully managed cloud service available on AWS, offering an entirely managed experience with the same rich data capabilities. Denodo provides a unique approach to data integration and management not found in any other platform. Denodo customers reported: 83% increase in business user productivity 67% reduction in time required to prepare data for AI 65% decrease in data delivery time vs. ETL 10x improvement in Lakehouse query performance compared to running queries directly resulting in an average three-year benefit of $6.8M, ROI of 408%, and payback within six months across customers.

Average Rating: 4.3/5.0

Total Reviews: 39

How Do G2 Users Rate Denodo?

  • Ease of Use: 8.7/10 (Category avg: 8.7/10)
  • Data Governance: 8.9/10 (Category avg: 8.4/10)
  • Data Security: 8.3/10 (Category avg: 8.8/10)
  • Scalability: 9.4/10 (Category avg: 8.5/10)

Who Is the Company Behind Denodo?

  • Seller: Denodo
  • Year Founded: 1999
  • HQ Location: Palo Alto, CA
  • Twitter: @denodo
    5,555 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    792 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Financial Services, Information Technology and Services
  • Company Size: 47% Large, 30% Medium

What Do G2 Reviewers Say About Denodo?

AI-generated summary from verified user reviews

Pros
  • Users value the seamless integration and unified data access of Denodo, enhancing workflows and data management significantly.
  • Users appreciate the extensive built-in connectors of Denodo, streamlining seamless integration and facilitating unified data access.
  • Users highly value the extensive data cataloging features of Denodo, facilitating efficient integration and management of data sources.
  • Users appreciate the seamless data integration of Denodo, which streamlines workflows and enhances data management processes.
  • Users value the ease of use with Denodo, appreciating its seamless setup and integration capabilities.
Cons
  • Users find Denodo to be expensive, making it less accessible for smaller companies looking for affordable solutions.
  • Users often face bug issues with the Web Designer, impacting usability compared to the Admin tool.
  • Users find the Web Designer buggy at times, leading to frustration compared to the Admin tool's performance.
  • Users find the steep learning curve of Denodo challenging, particularly for smaller companies with limited resources.
  • Users find the steep learning curve of Denodo challenging, especially for smaller companies trying to adapt.

What Are Recent G2 Reviews of Denodo?

What Are G2 Users Discussing About Denodo?

GeoSpock DB

GeoSpock enables data fusion for the connected world with GeoSpock DB – the space-time analytics database. GeoSpock DB is a unique, cloud-native database optimised for querying for real-world use cases, able to fuse multiple sources of Internet of Things (IoT) data together to unlock its full value, whilst simultaneously reducing complexity and cost. GeoSpock DB enables efficient storage, data fusion, and rapid programmatic access to data, and allows you to run ANSI SQL queries and connect to standard analytics tools via flexible JDBC/ODBC connectors. Users are able to perform deep analysis and share insights using familiar toolsets, with plug and play support for common BI tools (such as Tableau™, Amazon QuickSight™, and Microsoft Power BI™), and Data Science and Machine Learning environments (including Python Notebooks and Apache Spark). The database can also be integrated with proprietary applications, web services, and internal tools – with compatibility for open-source and customisable visualisation libraries such as Kepler and Cesium.js.

Average Rating: 4.0/5.0

Total Reviews: 10

How Do G2 Users Rate GeoSpock DB?

  • Ease of Use: 7.8/10 (Category avg: 8.7/10)
  • Data Governance: 6.7/10 (Category avg: 8.4/10)
  • Data Security: 6.7/10 (Category avg: 8.8/10)
  • Scalability: 6.7/10 (Category avg: 8.5/10)

Who Is the Company Behind GeoSpock DB?

  • Seller: GeoSpock
  • Year Founded: 2013
  • HQ Location: Cambridge, GB
  • Twitter: @GeoSpock
    953 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 70% Large, 20% Medium

What Are Recent G2 Reviews of GeoSpock DB?

What Are G2 Users Discussing About GeoSpock DB?

Sesame Software

Sesame Software is a comprehensive data management solution designed to assist organizations in backing up, exporting, replicating, and transferring data from various systems, including Salesforce and NetSuite, into databases, cloud storage, and other downstream systems. This suite of tools is tailored to support critical functions such as data protection, reporting, analytics, compliance, migration, and long-term data access, ensuring that businesses can effectively manage their data assets. The target audience for Sesame Software includes businesses of all sizes that rely on cloud applications and databases for their operations. Organizations seeking to safeguard their data from accidental loss or corruption, maintain compliance with regulatory standards, or streamline their data workflows will find significant value in these solutions. Specific use cases range from protecting Salesforce data against unintended deletions to exporting NetSuite data for compliance and reporting purposes. The versatility of Sesame Software makes it an essential resource for IT departments, data analysts, and compliance officers alike. One of the standout features of Sesame Software is its Salesforce Backup & Recovery solution, which is designed to protect Salesforce data from various risks, including accidental deletions and system errors. This solution offers automated full and incremental backups with flexible scheduling options, allowing users to monitor backup health and job activity through a centralized dashboard. The ability to restore data from specific backup snapshots, whether through full restores or selective record-level recovery, adds an additional layer of security and control for users. Backup history and logs further support auditing and troubleshooting, ensuring that organizations can maintain oversight of their data management processes. In addition to backup capabilities, Sesame Software provides robust data replication features that enable organizations to keep systems synchronized and support analytics and reporting. The automated replication jobs can be monitored, with logs available for tracking job status and errors, facilitating seamless data movement between systems. Furthermore, the platform includes tools for building data pipelines and ETL (extract, transform, load) workflows without the need for coding, allowing users to prepare data for reporting and analytics efficiently. Data migration is another critical aspect of Sesame Software, with automated processes that facilitate the transfer of data from source systems to target platforms while maintaining data integrity. The NetSuite Data Export feature allows organizations to export data into external databases or cloud storage, capturing both standard and custom objects while preserving schema and historical integrity. Supported destinations include a variety of relational databases and cloud storage platforms, making it easier for organizations to manage their data across different environments. Overall, Sesame Software stands out for its wide range of connectors and its ability to simplify complex data management tasks without the need for custom coding.

Average Rating: 4.3/5.0

Total Reviews: 45

How Do G2 Users Rate Sesame Software?

  • Ease of Use: 8.0/10 (Category avg: 8.7/10)

Who Is the Company Behind Sesame Software?

  • Seller: Sesame Software
  • Company Website:
  • Year Founded: 1988
  • HQ Location: Santa Clara, CA
  • Twitter: @SesameSoft
    1 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    28 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Insurance
  • Company Size: 61% Large, 37% Medium

What Do G2 Reviewers Say About Sesame Software?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the excellent customer support from Sesame Software, noting responsiveness and helpfulness in resolving issues.
  • Users find Sesame Software's ease of use remarkable, simplifying setup and data synchronization significantly.
  • Users appreciate the seamless integrations of Sesame Software, making data operations efficient and easy to implement.
  • Users appreciate the near-real-time data management capabilities of Sesame Software, enjoying its effective backup and recovery features.
  • Users appreciate the easy setup of Sesame Software, highlighting its intuitive interface and seamless configuration process.
Cons
  • Users find the poor documentation challenging, especially when troubleshooting and navigating advanced features.
  • Users experience configuration issues that can complicate initial setup and affect data synchronization in high-throughput environments.
  • Users face challenges with error management, finding troubleshooting and documentation lacking, complicating setup and maintenance.
  • Users find the poor interface design of Sesame Software challenging, suggesting a need for a more user-friendly experience.
  • Users experience technical issues with job recovery during SQL downtime, particularly with older software versions.

What Are Recent G2 Reviews of Sesame Software?

What Are G2 Users Discussing About Sesame Software?

Imply

Our real-time analytics database, built from Apache Druid, enables developers to build the next generation of analytics applications. With Imply, developers can build without constraints as our database lets them create interactive data experiences on streaming and batch data with limitless scale and at the best economics. Imply delivers the complete developer experience for Apache Druid. Founded by its original creators, Imply adds to the speed and scale of the database with committer-driven expertise, effortless operations, and cloud deployment to meet developers’ application requirements with ease. Backed by leading investors including Thoma Bravo, a16z and Bessemer Venture Partners, Imply is on a fast growth trajectory - disrupting the $100B database market - with customers including Twitter, Salesforce, Atlassian, Reddit, and Intercontinental Exchange.

Average Rating: 4.3/5.0

Total Reviews: 4

How Do G2 Users Rate Imply?

  • Ease of Use: 8.3/10 (Category avg: 8.7/10)
  • Data Governance: 8.3/10 (Category avg: 8.4/10)
  • Data Security: 9.2/10 (Category avg: 8.8/10)
  • Scalability: 9.2/10 (Category avg: 8.5/10)

Who Is the Company Behind Imply?

  • Seller: Imply Data, Inc.
  • HQ Location: San Francisco, US
  • Twitter: @implydata
    2,003 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    174 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Large, 25% Medium

What Do G2 Reviewers Say About Imply?

AI-generated summary from verified user reviews

Pros
  • Users value the availability of dedicated support from solutions architects during migration and ongoing technical assistance.
  • Users value the collaboration with dedicated architects, enhancing the effective management of AWS clusters during migration.
  • Users appreciate the ease of use of Imply, benefiting from effective control and monitoring of their clusters.
  • Users appreciate the flexibility and control Imply offers, enhancing their ability to manage and monitor clusters effectively.
  • Users value the flexibility of Imply, enabling control over clusters and significant cost savings in data management.

What Are Recent G2 Reviews of Imply?

iomete

IOMETE is a modern self-hosted data lakehouse platform that empowers data teams to manage and extract value from big, complex data sets, whether they reside on-premise or in the cloud. IOMETE's self-hosted architecture significantly enhances security and privacy by allowing customers to maintain complete control over their data environment. This architecture minimizes exposure to potential vulnerabilities associated with shared platforms, enabling organizations to implement tailored security protocols and compliance measures that align with their specific needs. By running the data lakehouse platform within their own infrastructure—whether on-premise or in a private cloud—customers can safeguard sensitive information, ensuring that it remains protected from unauthorized access and breaches. This approach not only raises the bar for data security but also fosters greater trust and confidence among our clients.

Average Rating: 5.0/5.0

Total Reviews: 2

How Do G2 Users Rate iomete?

  • Ease of Use: 9.2/10 (Category avg: 8.7/10)
  • Data Governance: 6.7/10 (Category avg: 8.4/10)
  • Data Security: 10.0/10 (Category avg: 8.8/10)
  • Scalability: 9.2/10 (Category avg: 8.5/10)

Who Is the Company Behind iomete?

  • Seller: iomete
  • Year Founded: 2020
  • HQ Location: Mountain View, US
  • LinkedIn® Page: www.linkedin.com
    28 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of iomete?

WhereScape 3D

WhereScape 3D is a data modeling platform built specifically for enterprise data warehouses, data lakes, and data lakehouses. Powered by template-driven automation, 3D enforces architectural best practices, governance, and standardization at every step, producing deployment-ready artifacts in a fraction of the time.

Average Rating: 2.8/5.0

Total Reviews: 2

How Do G2 Users Rate WhereScape 3D?

  • Ease of Use: 5.8/10 (Category avg: 8.7/10)
  • Data Governance: 3.3/10 (Category avg: 8.4/10)
  • Data Security: 6.7/10 (Category avg: 8.8/10)
  • Scalability: 6.7/10 (Category avg: 8.5/10)

Who Is the Company Behind WhereScape 3D?

  • Seller: WhereScape Software
  • Year Founded: 2001
  • HQ Location: Houston, Texas
  • Twitter: @wherescape
    2,816 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    42 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Small, 50% Large