Compare the Top Data Warehouse Software in the USA as of December 2025 - Page 3

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    Acho

    Acho

    Acho

    Unify all your data in one hub with 100+ built-in and universal API data connectors. Make them accessible to your whole team. Transform data with simple points and clicks. Build robust data pipelines with built-in data manipulation tools and automated schedulers. Save hours spent on sending your data somewhere manually. Use Workflow to automate the process from databases to BI tools, from apps to databases. A full suite of data cleaning and transformation tools is available in the no-code format, eliminating the need to write complex expressions or code. Data is only useful when insights are drawn. Upgrade your database to an analytical engine with native cloud-based BI tools. No connectors are needed, all data projects on Acho can be analyzed and visualized on our Visual Panel off the shelf, at a blazing-fast speed too.
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    RoeAI

    RoeAI

    RoeAI

    Use AI-Powered SQL to do data extraction, classification and RAG on documents, webpages, videos, images and audio. Over 90% of the data in financial and insurance services gets passed around in PDF format. It's a tough nut to crack due to the complex tables, charts, and graphics it contains. With Roe, you can transform years' worth of financial documents into structured data and semantic embeddings, seamlessly integrating them with your preferred chatbot. Identifying the fraudsters have been a semi-manual problem for decades. The documents types are so heterogenous and way too complex for human to review efficiently. With RoeAI, you can efficiently build identify AI-powered tagging for millions of documents, IDs, videos.
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    Onehouse

    Onehouse

    Onehouse

    The only fully managed cloud data lakehouse designed to ingest from all your data sources in minutes and support all your query engines at scale, for a fraction of the cost. Ingest from databases and event streams at TB-scale in near real-time, with the simplicity of fully managed pipelines. Query your data with any engine, and support all your use cases including BI, real-time analytics, and AI/ML. Cut your costs by 50% or more compared to cloud data warehouses and ETL tools with simple usage-based pricing. Deploy in minutes without engineering overhead with a fully managed, highly optimized cloud service. Unify your data in a single source of truth and eliminate the need to copy data across data warehouses and lakes. Use the right table format for the job, with omnidirectional interoperability between Apache Hudi, Apache Iceberg, and Delta Lake. Quickly configure managed pipelines for database CDC and streaming ingestion.
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    Bliss

    Bliss

    Bliss

    Bliss helps companies that are too small or early for tools like Snowflake by bringing all of their company data together into an automated data warehouse. This lets them get the most out of their favorite AI and BI tools.
    Starting Price: $99/month
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    IBM watsonx.data
    Put your data to work, wherever it resides, with the open, hybrid data lakehouse for AI and analytics. Connect your data from anywhere, in any format, and access through a single point of entry with a shared metadata layer. Optimize workloads for price and performance by pairing the right workloads with the right query engine. Embed natural-language semantic search without the need for SQL, so you can unlock generative AI insights faster. Manage and prepare trusted data to improve the relevance and precision of your AI applications. Use all your data, everywhere. With the speed of a data warehouse, the flexibility of a data lake, and special features to support AI, watsonx.data can help you scale AI and analytics across your business. Choose the right engines for your workloads. Flexibly manage cost, performance, and capability with access to multiple open engines including Presto, Presto C++, Spark Milvus, and more.
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    beVault

    beVault

    beVault

    beVault is a comprehensive data management automation platform designed to address the challenges of evolving business requirements and data structures. It enables rapid creation and deployment of new business cases, accelerating data warehouse automation processes by up to five times, thereby reducing time-to-market and maintaining business agility. The platform fosters seamless collaboration between IT and business teams through its business-centric, user-friendly interface, allowing for the co-construction of data models without technical barriers. As an all-in-one, low-code solution, beVault minimizes the need for expensive resources and multiple licenses, consolidating data management tools to reduce implementation and operational costs. Key features include an evolutive business-oriented model that scales with data needs, an embedded data quality framework to ensure high standards, and a hybrid architecture offering on-premises, cloud, or hybrid deployment options.
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    Cloudera Data Warehouse
    Cloudera Data Warehouse is a cloud-native, self-service analytics solution that lets IT rapidly deliver query capabilities to BI analysts, enabling users to go from zero to query in minutes. It supports all data types, structured, semi-structured, unstructured, real-time, and batch, and scales cost-effectively from gigabytes to petabytes. It is fully integrated with streaming, data engineering, and AI services, and enforces a unified security, governance, and metadata framework across private, public, or hybrid cloud deployments. Each virtual warehouse (data warehouse or mart) is isolated and automatically configured and optimized, ensuring that workloads do not interfere with each other. Cloudera leverages open source engines such as Hive, Impala, Kudu, and Druid, along with tools like Hue and more, to handle diverse analytics, from dashboards and operational analytics to research and discovery over vast event or time-series data.
  • 8
    CelerData Cloud
    CelerData is a high-performance SQL engine built to power analytics directly on data lakehouses, eliminating the need for traditional data‐warehouse ingestion pipelines. It delivers sub-second query performance at scale, supports on-the‐fly JOINs without costly denormalization, and simplifies architecture by allowing users to run demanding workloads on open format tables. Built on the open source engine StarRocks, the platform outperforms legacy query engines like Trino, ClickHouse, and Apache Druid in latency, concurrency, and cost-efficiency. With a cloud-managed service that runs in your own VPC, you retain infrastructure control and data ownership while CelerData handles maintenance and optimization. The platform is positioned to power real-time OLAP, business intelligence, and customer-facing analytics use cases and is trusted by enterprise customers (including names such as Pinterest, Coinbase, and Fanatics) who have achieved significant latency reductions and cost savings.
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    Data Virtuality

    Data Virtuality

    Data Virtuality

    Connect and centralize data. Transform your existing data landscape into a flexible data powerhouse. Data Virtuality is a data integration platform for instant data access, easy data centralization and data governance. Our Logical Data Warehouse solution combines data virtualization and materialization for the highest possible performance. Build your single source of data truth with a virtual layer on top of your existing data environment for high data quality, data governance, and fast time-to-market. Hosted in the cloud or on-premises. Data Virtuality has 3 modules: Pipes, Pipes Professional, and Logical Data Warehouse. Cut down your development time by up to 80%. Access any data in minutes and automate data workflows using SQL. Use Rapid BI Prototyping for significantly faster time-to-market. Ensure data quality for accurate, complete, and consistent data. Use metadata repositories to improve master data management.
  • 10
    Databricks Data Intelligence Platform
    The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker.
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    TIBCO Data Virtualization
    An enterprise data virtualization solution that orchestrates access to multiple and varied data sources and delivers the datasets and IT-curated data services foundation for nearly any solution. As a modern data layer, the TIBCO® Data Virtualization system addresses the evolving needs of companies with maturing architectures. Remove bottlenecks and enable consistency and reuse by providing all data, on demand, in a single logical layer that is governed, secure, and serves a diverse community of users. Immediate access to all data helps you develop actionable insights and act on them in real time. Users are empowered because they can easily search for and select from a self-service directory of virtualized business data and then use their favorite analytics tools to obtain results. They can spend more time analyzing data, less time searching for it.
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    FuseHR

    FuseHR

    FuseHR

    Chances are, you have changed HCM or HR & Payroll systems at some point. What many companies fail to realize, it that important (& legally required) records get lost, either physically, or in a sea or unorganized data. Deploy a hybrid warehouse overnight in the cloud securely and at a fraction of the cost of other solutions — create a snapshot of your legacy system in the cloud. Whether it is multiple systems from upgrades or corporate mergers having multiple HCM and other human resource systems destroy your productivity. Learn how data archiving can simplify your landscape and increase your teams productivity by simplifying. Human Resources data is sensitive data that must be secure. Fuse Analytics gives you the tools to ensure your data is protected with Role based access, end to end encryption, and features that enable you to easily comply with regulations.
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    Datavault Builder

    Datavault Builder

    Datavault Builder

    Quickly develop your own DWH. Immediately lay the foundation for new reports or integrate emerging sources of data in an agile way and rapidly deliver results. The Datavault Builder is a 4th generation Data Warehouse automation tool covering all aspects and phases of a DWH. Using a proven industry standard process you can start your agile Data Warehouse immediately and deliver business value in the first sprint. Merger&Acquisitions, affiliated companies, sales performance, supply chain management. In all these cases and many more some sort of data integration is essential. The Datavault Builder perfectly supports these different settings. Delivering not just a tool, but rather a standardized workflow. Retrieve and feed data from and to multiple systems in real-time. Integrate any sources to gain the complete picture of your company. Permanently move data to new target(s) while ensuring data availability and quality.
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    AtScale

    AtScale

    AtScale

    AtScale helps accelerate and simplify business intelligence resulting in faster time-to-insight, better business decisions, and more ROI on your Cloud analytics investment. Eliminate repetitive data engineering tasks like curating, maintaining and delivering data for analysis. Define business definitions in one location to ensure consistent KPI reporting across BI tools. Accelerate time to insight from data while efficiently managing cloud compute costs. Leverage existing data security policies for data analytics no matter where data resides. AtScale’s Insights workbooks and models let you perform Cloud OLAP multidimensional analysis on data sets from multiple providers – with no data prep or data engineering required. We provide built-in easy to use dimensions and measures to help you quickly derive insights that you can use for business decisions.
  • 15
    dashDB Local
    As the newest edition to the IBM dashDB family, dashDB Local rounds out IBM's hybrid data warehouse strategy, providing organizations the most flexible architecture needed to lower the cost model of analytics in the dynamic world of big data and the cloud. How is this possible? Through a common analytics engine, with different deployment options across private and public clouds, analytics workloads can be moved and optimized with ease. dashDB Local is now an option when you prefer deployment on a hosted private cloud or on-premises private cloud through a software-defined infrastructure. From an IT standpoint, dashDB Local simplifies deployment and management through container technology, with elastic scaling and easy maintenance. From a user standpoint, dashDB Local provides the speed needed to quickly cycle through the process of data acquisition, applies the right analytics to meet a specific use case, and operationalizes the insights.
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    BryteFlow

    BryteFlow

    BryteFlow

    BryteFlow builds the most efficient automated environments for analytics ever. It converts Amazon S3 into an awesome analytics platform by leveraging the AWS ecosystem intelligently to deliver data at lightning speeds. It complements AWS Lake Formation and automates the Modern Data Architecture providing performance and productivity. You can completely automate data ingestion with BryteFlow Ingest’s simple point-and-click interface while BryteFlow XL Ingest is great for the initial full ingest for very large datasets. No coding is needed! With BryteFlow Blend you can merge data from varied sources like Oracle, SQL Server, Salesforce and SAP etc. and transform it to make it ready for Analytics and Machine Learning. BryteFlow TruData reconciles the data at the destination with the source continually or at a frequency you select. If data is missing or incomplete you get an alert so you can fix the issue easily.
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    Edge Intelligence

    Edge Intelligence

    Edge Intelligence

    Start benefiting your business within minutes of installation. Learn how our system works. It's the fastest, easiest way to analyze vast amounts of geographically distributed data. A new approach to analytics. Overcome the architectural constraints associated with traditional big data warehouses, database design and edge computing architectures. Understand details within the platform that allow for centralized command & control, automated software installation & orchestration and geographically distributed data input & storage.
  • 18
    Kinetica

    Kinetica

    Kinetica

    A scalable cloud database for real-time analysis on large and streaming datasets. Kinetica is designed to harness modern vectorized processors to be orders of magnitude faster and more efficient for real-time spatial and temporal workloads. Track and gain intelligence from billions of moving objects in real-time. Vectorization unlocks new levels of performance for analytics on spatial and time series data at scale. Ingest and query at the same time to act on real-time events. Kinetica's lockless architecture and distributed ingestion ensures data is available to query as soon as it lands. Vectorized processing enables you to do more with less. More power allows for simpler data structures, which lead to lower storage costs, more flexibility and less time engineering your data. Vectorized processing opens the door to amazingly fast analytics and detailed visualization of moving objects at scale.
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    STRATWs ONE

    STRATWs ONE

    Siteware

    Control your indicators and get results quickly. With our strategic management software you will have more time to plan, better organize your routine, manage and engage your team in the culture of results! We go far beyond organizing your routine! Discover the power of strategic management software, capable of improving your business results and engaging your team to achieve your goals. Performance indicator software helps to: Reduce time to collect, validate and consolidate KPIs. Identify problems and create action plans to solve them. Report your results at all levels of the company. Engage your entire team in results-oriented culture. Reach your goals and Improve your business results. Enable everyone to have the necessary conditions to achieve the objectives and goals. Organize the delivery of Strategic Projects and engage people in this process. Improve your team's productivity and make decisions with greater certainty and speed!
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    Oracle Warehouse Builder
    Oracle Warehouse Builder (OWB) 11g is a data warehousing-centered data integration solution. OWB 11gR2 is pre-installed with Oracle Database 11gR2, and can be installed and used alongside Oracle Database 10gR2 and 11gR1. This page describes how Warehouse Builder is licensed and lists important links for finding more information. OWB functionality is divided into the following feature groups: Basic ETL—A basic set of ETL capabilities suitable for building simple data warehouses. (Also called Core ETL. Corresponds approximately to the Warehouse Builder 10gR1 feature set.), enterprise ETL—Advanced functionality for enterprise data warehousing and data integration projects, application Adapters for OWB—Connectivity to SAP and Oracle ERP applications. The definitive list of features included in Enterprise ETL feature set is in the Fusion Middleware 11g licensing guide, under the discussion of Oracle Data Integrator, Enterprise Edition.
  • 21
    IBM Netezza Performance Server
    100% compatible with Netezza. Single command-line upgrade path. Available on premises, on cloud or hybrid. IBM® Netezza® Performance Server for IBM Cloud Pak® for Data is an advanced data warehouse and analytics platform available both on premises and on cloud. With enhancements to in-database analytics capabilities, this next generation of Netezza enables you to do data science and machine learning with data volumes scaling into the petabytes. Failure detection and fast failure recovery. Single command-line upgrade to existing systems. Ability to query many systems as one. Choose the data center or availability zone closest to you, set the number of compute units and amount of storage required to run, and go. IBM® Netezza® Performance Server for IBM Cloud Pak® for Data is available on IBM Cloud®, Amazon Web Services (AWS) and Microsoft Azure. Deployable on a private cloud, Netezza is powered by IBM Cloud Pak for Data System.
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    mediarithmics

    mediarithmics

    mediarithmics

    mediarithmics is the modern Customer Data Platform that helps enterprise players revolutionize growth by re-architecting consumer engagement at scale. We power real-time marketing personalization, cookie-less audience monetization, and agile data collaboration within a single technology solution. By de-siloing data across your business, we enable marketing, monetization, product, and data teams to action insights to create more compelling customer experiences.
  • 23
    Isima

    Isima

    Isima

    bi(OS)® delivers unparalleled speed to insight for data app builders in a unified manner. With bi(OS)®, the complete life-cycle of building data apps takes hours to days. This includes adding varied data sources, deriving real-time insights, and deploying to production. Join enterprise data teams across industries and become the data superhero your business deserves. The trifecta of Open Source, Cloud, and SaaS has failed to deliver the promised data-driven impact. All of the enterprises' investments have been in data movement and integration, which isn't sustainable. There is a dire need for a new approach to data, built with enterprise empathy in mind. bi(OS)® is built by reimagining first principles in enterprise data management, from ingest to insight. It serves API, AI, and BI builders in a unified manner, to achieve data-driven impact in days. Engineers build enduring moat as a symphony emerges between IT teams, tools, and processes.
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    Apache Kylin

    Apache Kylin

    Apache Software Foundation

    Apache Kylin™ is an open source, distributed Analytical Data Warehouse for Big Data; it was designed to provide OLAP (Online Analytical Processing) capability in the big data era. By renovating the multi-dimensional cube and precalculation technology on Hadoop and Spark, Kylin is able to achieve near constant query speed regardless of the ever-growing data volume. Reducing query latency from minutes to sub-second, Kylin brings online analytics back to big data. Kylin can analyze 10+ billions of rows in less than a second. No more waiting on reports for critical decisions. Kylin connects data on Hadoop to BI tools like Tableau, PowerBI/Excel, MSTR, QlikSense, Hue and SuperSet, making the BI on Hadoop faster than ever. As an Analytical Data Warehouse, Kylin offers ANSI SQL on Hadoop/Spark and supports most ANSI SQL query functions. Kylin can support thousands of interactive queries at the same time, thanks to the low resource consumption of each query.
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    Beacon Platform

    Beacon Platform

    Beacon Platform

    Beacon Core is an end-to-end platform designed to supercharge developer productivity. Beacon Core includes enterprise-scale elastic cloud infrastructure, a modern data warehouse, collaborative developer tools, automation services, and a robust and controlled production environment. Once satisfied with the new feature, the developer releases the feature to production with Beacon’s controls workflow. All source code is categorized, with different controls attached to different categories, so that new features that do not affect risk can be released intraday. Beacon’s controls workflow was forged in global investment banks to foster innovation within a highly regulated and tightly controlled environment. We help you customize Beacon’s workflow to balance the opportunities and risks between innovation and controls. Automate manual tasks with user-friendly batch job scheduler, so that you can focus on adding value to the business.
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    SAP BW/4HANA
    SAP BW/4HANA is a packaged data warehouse based on SAP HANA. As the on-premise data warehouse layer of SAP’s Business Technology Platform, it allows you to consolidate data across the enterprise to get a consistent, agreed-upon view of your data. Streamline processes and support innovations with a single source for real-time insights. Based on SAP HANA, our next-generation data warehouse solution can help you capitalize on the full value of all your data from SAP applications or third-party solutions, as well as unstructured, geospatial, or Hadoop-based. Transform data practices to gain the efficiency and agility to deploy live insights at scale, both on premise or in the cloud. Drive digitization across all lines of business with a Big Data warehouse, while leveraging digital business platform solutions from SAP.
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    Oracle Autonomous Data Warehouse
    Oracle Autonomous Data Warehouse is a cloud data warehouse service that eliminates all the complexities of operating a data warehouse, dw cloud, data warehouse center, securing data, and developing data-driven applications. It automates provisioning, configuring, securing, tuning, scaling, and backing up of the data warehouse. It includes tools for self-service data loading, data transformations, business models, automatic insights, and built-in converged database capabilities that enable simpler queries across multiple data types and machine learning analysis. It’s available in both the Oracle public cloud and customers' data centers with Oracle Cloud@Customer. Detailed analysis by industry expert DSC illustrates why Oracle Autonomous Data Warehouse is a better pick for the majority of global organizations. Learn about applications and tools that are compatible with Autonomous Data Warehouse.
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    Apache Hudi

    Apache Hudi

    Apache Corporation

    Hudi is a rich platform to build streaming data lakes with incremental data pipelines on a self-managing database layer, while being optimized for lake engines and regular batch processing. Hudi maintains a timeline of all actions performed on the table at different instants of time that helps provide instantaneous views of the table, while also efficiently supporting retrieval of data in the order of arrival. A Hudi instant consists of the following components. Hudi provides efficient upserts, by mapping a given hoodie key consistently to a file id, via an indexing mechanism. This mapping between record key and file group/file id, never changes once the first version of a record has been written to a file. In short, the mapped file group contains all versions of a group of records.
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    Oracle Cloud Infrastructure Data Lakehouse
    A data lakehouse is a modern, open architecture that enables you to store, understand, and analyze all your data. It combines the power and richness of data warehouses with the breadth and flexibility of the most popular open source data technologies you use today. A data lakehouse can be built from the ground up on Oracle Cloud Infrastructure (OCI) to work with the latest AI frameworks and prebuilt AI services like Oracle’s language service. Data Flow is a serverless Spark service that enables our customers to focus on their Spark workloads with zero infrastructure concepts. Oracle customers want to build advanced, machine learning-based analytics over their Oracle SaaS data, or any SaaS data. Our easy- to-use data integration connectors for Oracle SaaS, make creating a lakehouse to analyze all data with your SaaS data easy and reduces time to solution.
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    IBM Industry Models
    An industry data model from IBM acts as a blueprint with common elements based on best practices, government regulations and the complex data and analytic needs of the industry. A model can help you manage data warehouses and data lakes to gather deeper insights for better decisions. The models include warehouse design models, business terminology and business intelligence templates in a predesigned framework for an industry-specific organization to accelerate your analytics journey. Analyze and design functional requirements faster using industry-specific information infrastructures. Create and rationalize data warehouses using a consistent architecture to model changing requirements. Reduce risk and delivery better data to apps across the organization to accelerate transformation. Create enterprise-wide KPIs and address compliance, reporting and analysis requirements. Use industry data model vocabularies and templates for regulatory reporting to govern your data.