Alternatives to Oracle Autonomous Data Warehouse

ANSI SQL allows you to analyze petabytes worth of data at lightning-fast speeds with no operational overhead. Analytics at scale with 26%-34% less three-year TCO than cloud-based data warehouse alternatives. You can unleash your insights with a trusted platform that is more secure and scales with you. Multi-cloud analytics solutions that allow you to gain insights from all types of data. You can query streaming data in real-time and get the most current information about all your business processes. Machine learning is built-in and allows you to predict business outcomes quickly without having to move data. With just a few clicks, you can securely access and share the analytical insights within your organization. Easy creation of stunning dashboards and reports using popular business intelligence tools right out of the box. BigQuery's strong security, governance, and reliability controls ensure high availability and a 99.9% uptime SLA. Encrypt your data by default and with customer-managed encryption keys

100% compatible with Netezza Upgrade via a single command-line line. Available on premises, in the cloud, or hybrid. IBM®, Netezza®, Performance Server for IBM Cloud Pack® Data is an advanced data warehouse platform and analytics platform that is available on premises or on the cloud. This next generation of Netezza includes enhancements to the in-database analytics capabilities. You can do data science and machinelearning with data volumes scaling to the petabytes. Fast failure recovery and failure detection. Upgrade existing systems with a single command-line command. Ability to query multiple systems simultaneously. Select the nearest availability zone or data center, select the required number of compute units, and then go. IBM®, Netezza®, Performance Server for IBM Cloud® for Data is available via Amazon Web Services, Microsoft Azure, and IBM Cloud®. Netezza can be deployed on a private cloud using IBM Cloud Pak Data System.

Amazon Redshift is preferred by more customers than any other cloud data storage. Redshift powers analytic workloads for Fortune 500 companies and startups, as well as everything in between. Redshift has helped Lyft grow from a startup to multi-billion-dollar enterprises. It's easier than any other data warehouse to gain new insights from all of your data. Redshift allows you to query petabytes (or more) of structured and semi-structured information across your operational database, data warehouse, and data lake using standard SQL. Redshift allows you to save your queries to your S3 database using open formats such as Apache Parquet. This allows you to further analyze other analytics services like Amazon EMR and Amazon Athena. Redshift is the fastest cloud data warehouse in the world and it gets faster each year. The new RA3 instances can be used for performance-intensive workloads to achieve up to 3x the performance compared to any cloud data warehouse.

Our unified cloud solution for data and analytics enables business users to connect data with business contexts and unlock insights. SAP Data Warehouse Cloud unites data and analytics in a cloud platform that includes data integration, data warehouse, data warehouse, as well as analytics capabilities. This will help you unleash your data-driven enterprise. Built on the SAP HANA Cloud database, this software-as-a-service (SaaS) empowers you to better understand your business data and make confident decisions based on real-time information. You can connect data across multi-cloud and local repositories in real time, while keeping the context of your business. SAP HANA Cloud enables you to gain insights and analyze real-time data at lightning speed. All users can access self-service capabilities to connect, model and visualize their data securely in an IT-governed environment. Use pre-built templates, data models, and industry content.

GeoSpock DB - The space-time analytics database - allows data fusion in the connected world. GeoSpockDB is a unique cloud-native database that can be used to query for real-world applications. It can combine multiple sources of Internet of Things data to unlock their full potential, while simultaneously reducing complexity, cost, and complexity. GeoSpock DB enables data fusion and efficient storage. It also allows you to run ANSI SQL query and connect to analytics tools using JDBC/ODBC connectors. Users can perform analysis and share insights with familiar toolsets. This includes support for common BI tools such as Tableau™, Amazon QuickSight™, and Microsoft Power BI™, as well as Data Science and Machine Learning environments (including Python Notebooks or Apache Spark). The database can be integrated with internal applications as well as web services, including compatibility with open-source visualisation libraries like Cesium.js and Kepler.

Dremio provides lightning-fast queries as well as a self-service semantic layer directly to your data lake storage. No data moving to proprietary data warehouses, and no cubes, aggregation tables, or extracts. Data architects have flexibility and control, while data consumers have self-service. Apache Arrow and Dremio technologies such as Data Reflections, Columnar Cloud Cache(C3), and Predictive Pipelining combine to make it easy to query your data lake storage. An abstraction layer allows IT to apply security and business meaning while allowing analysts and data scientists access data to explore it and create new virtual datasets. Dremio's semantic layers is an integrated searchable catalog that indexes all your metadata so business users can make sense of your data. The semantic layer is made up of virtual datasets and spaces, which are all searchable and indexed.

Data lakehouse is an open architecture that allows you to store, understand and analyze all of your data. It combines the power, richness, and flexibility of data warehouses with the breadth of open-source data technologies. A data lakehouse can easily be built on Oracle Cloud Infrastructure (OCI). It can also be used with pre-built AI services such as Oracle's language service and the latest AI frameworks. Data Flow, a serverless Spark service, allows our customers to concentrate on their Spark workloads using zero infrastructure concepts. Customers of Oracle want to build machine learning-based analytics on their Oracle SaaS data or any SaaS data. Our easy-to-use connectors for Oracle SaaS make it easy to create a lakehouse to analyze all of your SaaS data and reduce time to solve problems.

Secure and manage the data lifecycle, from Edge to AI in any cloud or data centre. Operates on all major public clouds as well as the private cloud with a public experience everywhere. Integrates data management and analytics experiences across the entire data lifecycle. All environments are covered by security, compliance, migration, metadata management. Open source, extensible, and open to multiple data stores. Self-service analytics that is faster, safer, and easier to use. Self-service access to multi-function, integrated analytics on centrally managed business data. This allows for consistent experiences anywhere, whether it is in the cloud or hybrid. You can enjoy consistent data security, governance and lineage as well as deploying the cloud analytics services that business users need. This eliminates the need for shadow IT solutions.

Actian Avalanche, a fully managed hybrid cloud service for data warehouse, is designed from the ground up in order to deliver high performance across all dimensions (data volume, concurrent users, and query complexity) at a fraction the cost of other solutions. It is a hybrid platform that can be deployed both on-premises and on multiple clouds including AWS Azure, Google Cloud, and Azure. This allows you to migrate and offload data to the cloud at your pace. Actian Avalanche offers the best price-performance ratio in the industry without the need for optimization or DBA tuning. You can get substantially better performance at a fraction of the cost of other solutions or choose the same performance at a significantly lower price. Avalanche, for example, offers up to 6x the price-performance advantages over Snowflake according to GigaOm’s TPC-H industry benchmark and more than many other appliance vendors.

Oracle Warehouse Builder (OWB 11g) is a data warehousing-based data integration solution. OWB 11gR2 comes pre-installed in Oracle Database 11gR2, and can also be installed and used with Oracle Database 10gR2 or 11gR1. This page explains how Warehouse Builder is licensed, and lists important links to find more information. OWB functionality can be divided into the following feature categories: Basic ETL--A basic set ETL capabilities that is suitable for building simple data stores. Core ETL is also known. Corresponds roughly to Warehouse Builder 10gR1 feature sets. ), enterprise ETL - Advanced functionality for enterprise data warehousing, data integration projects, and application Adapters to OWB--Connectivity with SAP and Oracle ERP applications. The Fusion Middleware 11g licensing guide contains the complete list of Enterprise ETL features. It is located under the discussion Oracle Data Integrator Enterprise Edition.

Azure Synapse is the Azure SQL Data Warehouse. Azure Synapse, a limitless analytics platform that combines enterprise data warehouse and Big Data analytics, is called Azure Synapse. It allows you to query data at your own pace, with either serverless or provisioned resources - at scale. Azure Synapse combines these two worlds with a single experience to ingest and prepare, manage and serve data for machine learning and BI needs.

VeloDB, powered by Apache Doris is a modern database for real-time analytics at scale. In seconds, micro-batch data can be ingested using a push-based system. Storage engine with upserts, appends and pre-aggregations in real-time. Unmatched performance in real-time data service and interactive ad hoc queries. Not only structured data, but also semi-structured. Not only real-time analytics, but also batch processing. Not only run queries against internal data, but also work as an federated query engine to access external databases and data lakes. Distributed design to support linear scalability. Resource usage can be adjusted flexibly to meet workload requirements, whether on-premise or cloud deployment, separation or integration. Apache Doris is fully compatible and built on this open source software. Support MySQL functions, protocol, and SQL to allow easy integration with other tools.

AnalyticDB for MySQL, a high-performance data warehouse service, is safe, stable, and simple to use. It makes it easy to create online statistical reports, multidimensional analyses solutions, and real time data warehouses. AnalyticDB for MySQL uses distributed computing architecture which allows it to use elastic scaling capabilities of the cloud to compute tens to billions of data records in real-time. AnalyticDB for MySQL stores data using relational models. It can also use SQL to compute and analyze data. AnalyticDB for MySQL allows you to manage your databases, scale in and out nodes, scale up or down instances, and more. It offers various visualization and ETL tools that make data processing in enterprises easier. Instant multidimensional analysis of large data sets.

Ocient Hyperscale Data Warehouse transforms data and loads it in seconds. It enables organizations to store more data and run queries on hyperscale data up to 50x faster. Ocient completely reimagined their data warehouse design in order to deliver next-generation data analysis. Ocient Hyperscale Data Warehouse provides storage next to compute to maximize performance on industry standard hardware. It allows users to transform, stream, or load data directly and returns previously unfeasible queries within seconds. Ocient has benchmarked query performance levels that are up to 50x higher than comparable products. The Ocient Hyperscale Data Warehouse empowers next generation data analytics solutions in key areas that are lacking existing solutions.

SelectDB is an advanced data warehouse built on Apache Doris. It supports rapid query analysis of large-scale, real-time data. Clickhouse to Apache Doris to separate the lake warehouse, and upgrade the lake storage. Fast-hand OLAP system carries out nearly 1 billion queries every day in order to provide data services for various scenes. The original lake warehouse separation was abandoned due to problems with storage redundancy and resource seizure. Also, it was difficult to query and adjust. It was decided to use Apache Doris lakewarehouse, along with Doris's materialized views rewriting capability and automated services to achieve high-performance query and flexible governance. Write real-time data within seconds and synchronize data from databases and streams. Data storage engine with real-time update and addition, as well as real-time polymerization.

We make BI and Big Data analytics easier and more efficient. Our goal is to empower business users, make BI specialists and always-busy business more independent when solving data-driven business problems. Querona is a solution for those who have ever been frustrated by a lack in data, slow or tedious report generation, or a long queue to their BI specialist. Querona has a built-in Big Data engine that can handle increasing data volumes. Repeatable queries can be stored and calculated in advance. Querona automatically suggests improvements to queries, making optimization easier. Querona empowers data scientists and business analysts by giving them self-service. They can quickly create and prototype data models, add data sources, optimize queries, and dig into raw data. It is possible to use less IT. Users can now access live data regardless of where it is stored. Querona can cache data if databases are too busy to query live.

IBM Db2®, a family of hybrid data management tools, offers a complete suite AI-empowered capabilities to help you manage structured and unstructured data both on premises and in private and public clouds. Db2 is built upon an intelligent common SQL engine that allows for flexibility and scalability.

Dapps built on top Space and Time are blockchain interoperable. They crunch SQL + machine learning for Gaming/DeFi as well as any other decentralized applications that require verifiable tamperproofing or blockchain-security. By connecting off-chain storage to on-chain analytics insights, we merge blockchain data with a new-generation database. Multi-chain integration, indexing and anchoring are made easy by combining on-chain and offline data. Advanced data security with proven capabilities. Connect to real-time, relational blockchain data that we have already indexed from major chain data sources as well as data you have ingested off-chain. You can send tamperproof query results to smart contract in a trustless manner or publish the query results directly onto-chain using our cryptographic guarantees (Proof SQL).

IBM®, Db2®, Warehouse is a client-managed preconfigured data warehouse that runs on private clouds, virtual private cloud, and other container-supported infrastructures. It is the ideal hybrid cloud solution for those who need to retain control over their data, but still want cloud-like flexibility. Db2 Warehouse allows you to bring AI into your business faster and more easily with built-in machine-learning, automated scaling, and built-in analytics. You can deploy a pre-configured data store in minutes on any supported infrastructure. Elastic scaling allows for easy updates and upgrades. Enterprise AI can operate faster and more efficiently by applying in-database analytics to the data. Your application can be written once and moved to the correct location -- public cloud, private cloud, or on-premises -- with minimal changes.

Y42 is the first fully managed Modern DataOps Cloud for production-ready data pipelines on top of Google BigQuery and Snowflake.

MaxCompute, formerly known as ODPS, is a multi-tenant, general-purpose data processing platform that can be used for large-scale data warehousing. MaxCompute supports a variety of data importing options and distributed computing models. This allows users to query large datasets efficiently, reduce production costs, and ensure data safety. Supports EB-level data storage. Supports SQL, MapReduce and Graph computational models as well as Message Passing Interface (MPI), iterative algorithms. This cloud is more efficient than an enterprise private cloud and offers storage and computing services that are up to 20% to 30% cheaper. Stable offline analysis services that last more than seven years. Also, multi-level sandbox protection is possible. Monitoring and monitoring are possible. MaxCompute uses tunnels for data transmission. Tunnels can be scaled and used to import and export PB-level data daily. Multiple tunnels allow you to import all data and history data.

Panoply makes it easy to store, sync and access all your business information in the cloud. With built-in integrations to all major CRMs and file systems, building a single source of truth for your data has never been easier. Panoply is quick to set up and requires no ongoing maintenance. It also offers award-winning support, and a plan to fit any need.

DataLakeHouse.io Data Sync allows users to replicate and synchronize data from operational systems (on-premises and cloud-based SaaS), into destinations of their choice, primarily Cloud Data Warehouses. DLH.io is a tool for marketing teams, but also for any data team in any size organization. It enables business cases to build single source of truth data repositories such as dimensional warehouses, data vaults 2.0, and machine learning workloads. Use cases include technical and functional examples, including: ELT and ETL, Data Warehouses, Pipelines, Analytics, AI & Machine Learning and Data, Marketing and Sales, Retail and FinTech, Restaurants, Manufacturing, Public Sector and more. DataLakeHouse.io has a mission: to orchestrate the data of every organization, especially those who wish to become data-driven or continue their data-driven strategy journey. DataLakeHouse.io, aka DLH.io, allows hundreds of companies manage their cloud data warehousing solutions.

Blendo is the most popular ETL and ELT data connector tool that dramatically simplifies how you connect data sources with databases. Blendo supports natively-built data connections, making it easy to extract, load and transform (ETL). Automate data management and transform data faster to gain BI insights. Data analysis does not have to be about data warehousing or data management. Automate and sync data from any SaaS app into your data warehouse. Connect to any data source using ready-made connectors. It's as easy as logging in and your data will start syncing immediately. There are no more integrations to create, data to export, or scripts to create. You can save time and gain insights into your business. You can accelerate your exploration and insights time with reliable data, analytical-ready tables, and schemas that can be optimized for analysis with any BI tool.

The only fully-managed cloud data lakehouse that can ingest data from all of your sources in minutes, and support all of your query engines on a large scale. All for a fraction the cost. With the ease of fully managed pipelines, you can ingest data from databases and event streams in near-real-time. You can query your data using any engine and support all of your use cases, including BI, AI/ML, real-time analytics and AI/ML. Simple usage-based pricing allows you to cut your costs by up to 50% compared with cloud data warehouses and ETL software. With a fully-managed, highly optimized cloud service, you can deploy in minutes and without any engineering overhead. Unify all your data into a single source and eliminate the need for data to be copied between data lakes and warehouses. Apache Hudi, Apache Iceberg and Delta Lake all offer omnidirectional interoperability, allowing you to choose the best table format for your needs. Configure managed pipelines quickly for database CDC and stream ingestion.

The Unified Analytics Warehouse. The Unified Analytics Warehouse is the best place to find high-performing analytics and machine learning at large scale. Tech research analysts are seeing new leaders as they strive to deliver game-changing big data analytics. Vertica empowers data-driven companies so they can make the most of their analytics initiatives. It offers advanced time-series, geospatial, and machine learning capabilities, as well as data lake integration, user-definable extensions, cloud-optimized architecture and more. Vertica's Under the Hood webcast series allows you to dive into the features of Vertica - delivered by Vertica engineers, technical experts, and others - and discover what makes it the most scalable and scalable advanced analytical data database on the market. Vertica supports the most data-driven disruptors around the globe in their pursuit for industry and business transformation.

Archon Data Store™ is an open-source archive lakehouse platform that allows you to store, manage and gain insights from large volumes of data. Its minimal footprint and compliance features enable large-scale processing and analysis of structured and unstructured data within your organization. Archon Data Store combines data warehouses, data lakes and other features into a single platform. This unified approach eliminates silos of data, streamlining workflows in data engineering, analytics and data science. Archon Data Store ensures data integrity through metadata centralization, optimized storage, and distributed computing. Its common approach to managing data, securing it, and governing it helps you innovate faster and operate more efficiently. Archon Data Store is a single platform that archives and analyzes all of your organization's data, while providing operational efficiencies.

There is a good chance that you have had to change HCM or HR and Payroll systems. Many companies don't realize that it is possible for important records to be lost or misplaced. Securely and at a fraction the cost of other solutions, you can create a snapshot in the cloud of your legacy system. No matter if you have multiple systems that need upgrading or corporate mergers, multiple HCMs and other human resource system can impede your productivity. Data archiving can simplify your landscape, increase productivity, and simplify your team's lives. Human Resources data is sensitive and must be protected. Fuse Analytics provides the tools to protect your data with Role-based access, end-to-end encryption, and features that allow you to comply with regulations.

Palo helps enterprises create the PB level MPP architecture data warehouse services in just a few minutes and import massive data from RDS BOS and BMR. Palo is able to perform multi-dimensional analysis of big data. Palo is compatible to mainstream BI tools. Data analysts can quickly gain insights by analyzing and displaying the data visually. It has an industry-leading MPP engine with column storage, intelligent indexes, and vector execution functions. It can also provide advanced analytics, window functions and in-library analytics. You can create a materialized table and change its structure without suspending service. It supports flexible data recovery.

Instead of getting bogged down in data warehouse code, keep your eyes on the important and compelling reporting, analytics, and insights. Your data warehouse should not become a mess of hundreds of unmanageable stored procedures, notebooks, stored processes, tables, and other complicated pieces. Views and other information. The effort required to design, build and manage a data warehouse is dramatically reduced with Dimodelo DW Studio. You can design, build, and deploy a data warehouse that targets Azure Synapse Analytics. Dimodelo Data Warehouse Studio creates a best-practice architecture using Azure Data Lake, Polybase, and Azure Synapse Analytics. This results in a modern, high-performance data warehouse in the cloud. Dimodelo Data Warehouse Studio creates a best-practice architecture that delivers a modern, high-performance data warehouse in the cloud by using parallel bulk loads and in memory tables.

Peliqan.io provides a data platform that is all-in-one for business teams, IT service providers, startups and scale-ups. No data engineer required. Connect to databases, data warehouses, and SaaS applications. In a spreadsheet interface, you can explore and combine data. Business users can combine multiple data sources, clean data, edit personal copies, and apply transformations. Power users can use SQL on anything, and developers can use Low-code to create interactive data apps, implement writing backs and apply machine intelligence.

Simcad Pro allows you to visualize, analyze, and optimize process flow systems within an interactive simulation modeling environment. Optimize, plan, optimize, and reorganize processes and procedures, while optimizing layouts, automation, scheduling, and facility improvement. Simcad Pro integrates historical and live data to offer the best simulation tool on the marketplace. Multiple industries can use these applications, including manufacturing, automation and logistics, distribution warehouse, food & beverage, and services. Multi-Threaded – 64 bit Engine Simulator-on-the-fly - You can make real-time modifications to the model as the simulation is running. You can animated the model in 3D, 2D, and VR using Ray Tracing, light effects, and shadows. Singular model building environment. Smart, Spatially Aware Agents. Sub-Flows. Collision Avoidance. Real-Time Connectivity. Spaghetti Diagrams and Congestion Analysis, Heat Maps Efficiency, OEE. Extensive reporting and analysis tools. Scenario Analyzer.

Automate your Data Science. Create data automation workflows. You can design on your desktop and run it anywhere. Modern data integration tool. Tweakstreet can be installed on your computer. It is not a service. You have complete control over your data. You can design a desktop app that you can run anywhere, including your desktop, cloud servers, or data centers. Connect to everything. Tweakstreet provides connectors for common data sources like file formats, databases, online services, and more. We are constantly adding connectors to new releases. File formats. Support for common data exchange formats like CSV, XML and JSON is available out of the box. SQL databases. You can use popular SQL databases such as Postgres, MariaDB and SQL Server, Oracle, MySQL or DB2. Tweakstreet also offers generic support for any database with JDBC drivers. Tweakstreet Web APIs supports HTTP interfaces, such as REST-style APIs. Access to popular APIs is made possible by OAuth 2.0 authentication.

SwiftStack is a multicloud data storage and management platform that enables data-driven apps and workflows. It seamlessly provides access to data across private and public infrastructures. SwiftStack Storage is an object and file storage product that can be scaled out geographically and starts at 10 terabytes. It can also expand to 100 petabytes. Connect your existing enterprise data to the SwiftStack platform to unlock it and make it available for your cloud-native modern applications. Avoid another major storage migration. Instead, use existing tier one storage for what it's useful for, not everything. SwiftStack 1space allows data to be placed across multiple clouds public and private using operator-defined policies. This helps the application and users get closer to the data. The platform's data movement is transparent to both users and applications.

A cloud database that can scale to handle large streaming data sets. Kinetica harnesses modern vectorized processors to perform orders of magnitude faster for real-time spatial or temporal workloads. In real-time, track and gain intelligence from billions upon billions of moving objects. Vectorization unlocks new levels in performance for analytics on spatial or time series data at large scale. You can query and ingest simultaneously to take action on real-time events. Kinetica's lockless architecture allows for distributed ingestion, which means data is always available to be accessed as soon as it arrives. Vectorized processing allows you to do more with fewer resources. More power means simpler data structures which can be stored more efficiently, which in turn allows you to spend less time engineering your data. Vectorized processing allows for incredibly fast analytics and detailed visualizations of moving objects at large scale.

Snowflake®, a cloud data platform and enterprise-grade architecture, allows you to securely store and use your data in the cloud. Drag-and-drop visual workflow design and built-in ETL to connect, clean and transform data from 250+ sources. You can generate actionable insights and insights from your data using the latest Search and AI-driven technology. Our AI/ML environments can be used to build, tune, and deploy models for predictive analytics or forecasting. Our AI/ML environments are available to help you take your data to new heights. The PurpleCube Data Science module allows you to create, train, tune, and deploy AI models for forecasting and predictive analysis. PurpleCube Analytics allows you to create BI visualizations, search your data with natural language and use AI-driven insights and smart recommendations to provide answers to questions that you didn't know to ask.

Talend Data Fabric's cloud services are able to efficiently solve all your integration and integrity problems -- on-premises or in cloud, from any source, at any endpoint. Trusted data delivered at the right time for every user. With an intuitive interface and minimal coding, you can easily and quickly integrate data, files, applications, events, and APIs from any source to any location. Integrate quality into data management to ensure compliance with all regulations. This is possible through a collaborative, pervasive, and cohesive approach towards data governance. High quality, reliable data is essential to make informed decisions. It must be derived from real-time and batch processing, and enhanced with market-leading data enrichment and cleaning tools. Make your data more valuable by making it accessible internally and externally. Building APIs is easy with the extensive self-service capabilities. This will improve customer engagement.

Sadas Engine is the fastest columnar database management system in cloud and on-premise. Sadas Engine is the solution that you are looking for. * Store * Manage * Analyze It takes a lot of data to find the right solution. * BI * DWH * Data Analytics The fastest columnar Database Management System can turn data into information. It is 100 times faster than transactional DBMSs, and can perform searches on large amounts of data for a period that lasts longer than 10 years.

Lyftrondata can help you build a governed lake, data warehouse or migrate from your old database to a modern cloud-based data warehouse. Lyftrondata makes it easy to create and manage all your data workloads from one platform. This includes automatically building your warehouse and pipeline. It's easy to share the data with ANSI SQL, BI/ML and analyze it instantly. You can increase the productivity of your data professionals while reducing your time to value. All data sets can be defined, categorized, and found in one place. These data sets can be shared with experts without coding and used to drive data-driven insights. This data sharing capability is ideal for companies who want to store their data once and share it with others. You can define a dataset, apply SQL transformations, or simply migrate your SQL data processing logic into any cloud data warehouse.

Firebolt solves impossible data problems with extreme speed and elasticity on any scale. Firebolt has completely redesigned its cloud data warehouse to provide an extremely fast and efficient analytics experience at all scales. You can analyze more data at higher levels of detail with lightning fast queries, which is an order-of-magnitude improvement in performance. You can easily scale up or decrease to support any workload, data amount, and concurrent users. Firebolt believes data warehouses should be easier than we are used to. We strive to make everything that was previously difficult and labor-intensive, simple. Cloud data warehouse providers make money from the cloud resources that you use. We don't! Finally, a pricing system that is fair, transparent, and allows for scale without breaking the bank.

SAP BW/4HANA, a packaged data warehouse that uses SAP HANA, is an example of a packaged data warehouse. It is the on-premise data warehouse layer for SAP's Business Technology Platform. It allows you to consolidate data across your enterprise to get a consistent, agreed upon view of your data. Streamline your processes and support innovation with one source for real-time insight. Our next-generation SAP HANA-based data warehouse solution will help you maximize the value of all your data, whether it is from SAP applications or third party solutions. It also supports unstructured, geospatial or Hadoop-based data. Transform data practices to increase efficiency and agility in the deployment of live insights at scale on premise and in the cloud. A Big Data warehouse can be used to drive digitization across all business lines, and it also allows you to leverage digital business platform solutions from SAP.

Databend is an agile, cloud-native, modern data warehouse that delivers high-performance analytics at a low cost for large-scale data processing. It has an elastic architecture which scales dynamically in order to meet the needs of different workloads. This ensures efficient resource utilization and lower operating costs. Databend, written in Rust offers exceptional performance thanks to features such as vectorized query execution, columnar storage and optimized data retrieval and processing speed. Its cloud-first approach allows for seamless integration with cloud platforms and emphasizes reliability, consistency of data, and fault tolerance. Databend is a free and open-source solution that makes it an accessible and flexible choice for data teams who want to handle big data analysis in the cloud.

BigLake is a storage platform that unifies data warehouses, lakes and allows BigQuery and open-source frameworks such as Spark to access data with fine-grained control. BigLake offers accelerated query performance across multicloud storage and open formats like Apache Iceberg. You can store one copy of your data across all data warehouses and lakes. Multi-cloud governance and fine-grained access control for distributed data. Integration with open-source analytics tools, and open data formats is seamless. You can unlock analytics on distributed data no matter where it is stored. While choosing the best open-source or cloud-native analytics tools over a single copy, you can also access analytics on distributed data. Fine-grained access control for open source engines such as Apache Spark, Presto and Trino and open formats like Parquet. BigQuery supports performant queries on data lakes. Integrates with Dataplex for management at scale, including logical organization.

AnalyticsCreator lets you extend and adjust an existing DWH. It is easy to build a solid foundation. The reverse engineering method of AnalyticsCreator allows you to integrate code from an existing DWH app into AC. So, more layers/areas are included in the automation. This will support the change process more extensively. The extension of an manually developed DWH with an ETL/ELT can quickly consume resources and time. Our experience and studies found on the internet have shown that the longer the lifecycle the higher the cost. You can use AnalyticsCreator to design your data model and generate a multitier data warehouse for your Power BI analytical application. The business logic is mapped at one place in AnalyticsCreator.

Open, hybrid data lakes for AI and analytics can be used to put your data to use, wherever it is located. Connect your data in any format and from anywhere. Access it through a shared metadata layer. By matching the right workloads to the right query engines, you can optimize workloads in terms of price and performance. Integrate natural-language semantic searching without the need for SQL to unlock AI insights faster. Manage and prepare trusted datasets to improve the accuracy and relevance of your AI applications. Use all of your data everywhere. Watsonx.data offers the speed and flexibility of a warehouse, along with special features that support AI. This allows you to scale AI and analytics throughout your business. Choose the right engines to suit your workloads. You can manage your cost, performance and capability by choosing from a variety of open engines, including Presto C++ and Spark Milvus.

No per-connection charges for setting up all the automated connections that you need. No per-connection fees for all the automated connections that you need. No technical expertise is required to set up and scale your cloud data warehouse or processing operations. Conversionomics allows you to make mistakes and ask hard questions about your data. You have the power to do whatever you want with your data. Conversionomics creates complex SQL to combine source data with lookups and table relationships. You can use preset joins and common SQL, or create your own SQL to customize your query. Conversionomics is a data aggregation tool with a simple interface that makes it quick and easy to create data API sources. You can create interactive dashboards and reports from these sources using our templates and your favorite data visualization tools.

Discover insights to boost sales growth with code-free, fully automated data pipelines to data lakes and cloud warehouses. Flexible, standards-based platform that unifies sales and marketing data to automate insights and smarter growth. Say goodbye to manual data downloads that are expensive and messy. You will always know exactly what you'll be charged and only pay what you actually use. Access to data-ready data is a great way to fuel your tools. We only work with official APIs as certified developers. Data pipelines from well-known sources are easy to use. These data pipelines are pre-built, pre-transformed and ready to go. Unlock data from Amazon Vendor Central and Amazon Seller Central, Instagram Stories. Teams can quickly and economically realize the value of their data with code-free data ingestion and transformation. Databricks, Amazon Redshift and other trusted data destinations like Databricks or Amazon Redshift ensure that data is always protected.

Hologres, a cloud-native Hybrid Serving & Analytical Processing system (HSAP), is seamlessly integrated into the big data ecosystem. Hologres can be used to process PB-scale data at high concurrency with low latency. Hologres allows you to use your business intelligence (BI), tools to analyze data in multiple dimensions. You can also explore your business in real time. Hologres eliminates data silos and redundancy that are disadvantages of traditional real time data warehousing systems. It can be used to migrate large amounts of data and perform real-time analysis. It responds to queries on PB scale data at sub-second speeds. This speed allows you to quickly analyze data in multiple dimensions and examine your business in real time. Supports concurrent writes and queries at speeds up to 100,000,000 transactions per second (TPS). Data can be accessed immediately after it has been written.

Beacon Core is an integrated platform that aims to increase developer productivity. Beacon Core features enterprise-scale elastic cloud infrastructure and a modern data warehouse. It also includes collaborative developer tools, automation and a controlled production environment. With Beacon's controls workflow, developers can release the new feature to production once they are satisfied with it. Source code is categorized with different controls attached to each category so that new features that don't affect risk can be released within the day. Beacon's controls workflow was developed in global investment banks to encourage innovation within a highly regulated, tightly controlled environment. We can help you modify Beacon's workflow so that innovation and control are balanced. You can automate manual tasks using our user-friendly batch job scheduler so you can concentrate on adding value to your business.

AtScale accelerates and simplifies business intelligence. This results in better business decisions and a faster time to insight. Reduce repetitive data engineering tasks such as maintaining, curating, and delivering data for analysis. To ensure consistent KPI reporting across BI tools, you can define business definitions in one place. You can speed up the time it takes to gain insight from data and also manage cloud compute costs efficiently. No matter where your data is located, you can leverage existing data security policies to perform data analytics. AtScale's Insights models and workbooks allow you to perform Cloud OLAP multidimensional analysis using data sets from multiple providers - without any data prep or engineering. To help you quickly gain insights that you can use to make business decisions, we provide easy-to-use dimensions and measures.