Alternatives to Zoho DataPrep

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

IBM® SPSS® Statistics software is used by a variety of customers to solve industry-specific business issues to drive quality decision-making. The IBM® SPSS® software platform offers advanced statistical analysis, a vast library of machine learning algorithms, text analysis, open-source extensibility, integration with big data and seamless deployment into applications. Its ease of use, flexibility and scalability make SPSS accessible to users of all skill levels. What’s more, it’s suitable for projects of all sizes and levels of complexity, and can help you find new opportunities, improve efficiency and minimize risk.

Rivery’s ETL platform consolidates, transforms, and manages all of a company’s internal and external data sources in the cloud. Key Features: Pre-built Data Models: Rivery comes with an extensive library of pre-built data models that enable data teams to instantly create powerful data pipelines. Fully managed: A no-code, auto-scalable, and hassle-free platform. Rivery takes care of the back end, allowing teams to spend time on mission-critical priorities rather than maintenance. Multiple Environments: Rivery enables teams to construct and clone custom environments for specific teams or projects. Reverse ETL: Allows companies to automatically send data from cloud warehouses to business applications, marketing clouds, CPD’s, and more.

The most accurate, complete, and timely data provides the best insight. Minitab Connect empowers data users across the enterprise with self service tools to transform diverse data into a network of data pipelines that feed analytics initiatives, foster collaboration and foster organizational-wide collaboration. Users can seamlessly combine and explore data from various sources, including databases, on-premise and cloud apps, unstructured data and spreadsheets. Automated workflows make data integration faster and provide powerful data preparation tools that allow for transformative insights. Data integration tools that are intuitive and flexible allow users to connect and blend data from multiple sources such as data warehouses, IoT devices and cloud storage.

DataFisher, a third-party data extraction tool, extracts data from multiple sources and creates one source of large data pools for actionable market insights. It also supports effective decision-making and decision-making. Deep Dive into Data for Actionable Insights. Evolving data infrastructures need an accurate aggregator to extract the required data for actionable insights. Integrate with multiple ERPs from partner ecosystems such as Tally, SAPB One, etc. with real-time analytics to improve data-based business decisions.

Direct is the fastest path from data to insight. Incorta empowers your business with a true self service data experience and breakthrough performance to make better decisions and achieve amazing results. Imagine if you could deliver data projects in days instead of weeks or months, instead of weeks and months with fragile ETL and expensive data warehouses. Our direct approach to analytics enables self-service on-premises or in the cloud with agility and performance. The world's most successful brands use Incorta to succeed where other analytics solutions fail. We offer connectors and pre-built solutions that can be used in your enterprise applications and technologies across multiple industries. Incorta's partners include Microsoft, eCapital and Wipro. They are responsible for delivering innovative solutions and customer success. Join our vibrant partner ecosystem.

MassFeeds is a data preparation tool that is highly specialized. It can quickly and automatically prepare data from multiple sources and formats. It creates automated data pipelines to speed up the data preparation process for your marketing mix model. Organizations cannot expect to scale heavy manual data preparation processes as data is constantly being created and gathered at an increasing rate. MassFeeds helps clients prepare data from multiple sources and present it in a seamless, automated and easy-to-tweak way. Data is organized into a standard format that can be easily ingested for modeling. Avoid human error by avoiding manual data preparation. Data processing should be accessible to a wider range of users. Automating repetitive tasks can save you more than 40% on processing time

The fastest way to prepare data and build data pipelines in cloud. Trifacta offers visual and intelligent guidance to speed up data preparation to help you get to your insights faster. Poor data quality can cause problems in any analytics project. Trifacta helps you to understand your data and can help you quickly and accurately clean up it. All the power without any code. Trifacta offers visual and intelligent guidance to help you get to the right insights faster. Manual, repetitive data preparation processes don't scale. Trifacta makes it easy to build, deploy, and manage self-service data networks in minutes instead of months.

Paxata, a visually-dynamic and intuitive solution, allows business analysts to quickly ingest, profile, curate, and curate multiple raw data sets into consumable information in an easy-to-use manner. This greatly accelerates the development of actionable business insight. Paxata empowers business analysts and SMEs. It also offers a rich set automation capabilities and embeddable data preparation capabilities that allow data preparation to be operationalized and delivered as a service in other applications. Paxata's Adaptive Information Platform, (AIP), unifies data integration and data quality. It also offers comprehensive data governance and audit capabilities, as well as self-documenting data lineage. The Paxata Adaptive Information Platform (AIP) uses a native multi-tenant elastic clouds architecture and is currently deployed as an integrated multi-cloud hybrid information fabric.

Quickly prepare data to provide trusted insights across the organization. Business analysts and data scientists spend too much time cleaning out data rather than analyzing it. Talend Data Preparation is a self-service, browser-based tool that allows you to quickly identify errors and create rules that can be reused and shared across large data sets. With our intuitive user interface and self-service data preparation/curation functionality, anyone can perform data profiling, cleansing, enriching and enrichment in real time. Users can share prepared datasets and curated data, and embed data preparations in batch, bulk, or live data integration scenarios. Talend allows you to transform ad-hoc analysis and data enrichment jobs into fully managed, reusable process. You can use any data source, including Teradata and AWS, Salesforce and Marketo, to operationalize data preparation. Always using the most recent datasets. Talend Data Preparation gives you control over data governance.

For more four decades, IRI CoSort has defined the state-of-the-art in big data sorting and transformation technology. From advanced algorithms to automatic memory management, and from multi-core exploitation to I/O optimization, there is no more proven performer for production data processing than CoSort. CoSort was the first commercial sort package developed for open systems: CP/M in 1980, MS-DOS in 1982, Unix in 1985, and Windows in 1995. Repeatedly reported to be the fastest commercial-grade sort product for Unix. CoSort was also judged by PC Week to be the "top performing" sort on Windows. CoSort was released for CP/M in 1978, DOS in 1980, Unix in the mid-eighties, and Windows in the early nineties, and received a readership award from DM Review magazine in 2000. CoSort was first designed as a file sorting utility, and added interfaces to replace or convert sort program parameters used in IBM DataStage, Informatica, MF COBOL, JCL, NATURAL, SAS, and SyncSort. In 1992, CoSort added related manipulation functions through a control language interface based on VMS sort utility syntax, which evolved through the years to handle structured data integration and staging for flat files and RDBs, and multiple spinoff products.

End-to-end DataOps built upon an agile platform that protects and improves your data assets. Arena is the leading augmented data management platform. Our active data catalog allows for self-service data enrichment to control complex data environments. You can create custom workflows to increase the reliability and accuracy of each data set. Machine-learning can be used to identify and align master assets for better data decisions. Superior security is assured with complete lineage, including detailed visualizations and masking. Data management is easy with Arena. Arena can catalog your data from any location. Our extensible connections allow for analytics across all your preferred tools. Overcome data sprawl challenges with our software. Our software is designed to drive business and analytics success, while also providing the controls and extensibility required in today's multicloud data complexity.

Alteryx AI Platform will help you enter a new age of analytics. Empower your organization through automated data preparation, AI powered analytics, and accessible machine learning - all with embedded governance. Welcome to a future of data-driven decision making for every user, team and step. Empower your team with an intuitive, easy-to-use user experience that allows everyone to create analytical solutions that improve productivity and efficiency. Create an analytics culture using an end-toend cloud analytics platform. Data can be transformed into insights through self-service data preparation, machine learning and AI generated insights. Security standards and certifications are the best way to reduce risk and ensure that your data is protected. Open API standards allow you to connect with your data and applications.

Verodat, a SaaS-platform, gathers, prepares and enriches your business data, then connects it to AI Analytics tools. For results you can trust. Verodat automates data cleansing & consolidates data into a clean, trustworthy data layer to feed downstream reporting. Manages data requests for suppliers. Monitors data workflows to identify bottlenecks and resolve issues. The audit trail is generated to prove quality assurance for each data row. Validation & governance can be customized to your organization. Data preparation time is reduced by 60% allowing analysts to focus more on insights. The central KPI Dashboard provides key metrics about your data pipeline. This allows you to identify bottlenecks and resolve issues, as well as improve performance. The flexible rules engine allows you to create validation and testing that suits your organization's requirements. It's easy to integrate your existing tools with the out-of-the box connections to Snowflake and Azure.

Drag-and-drop and generative AI tools enable analysts to prepare and blend data up 100 times faster than traditional solutions. Self-service analytics platform gives analysts the power to remove costly bottlenecks and empowers them. Alteryx Designer, a self-service analytics platform, empowers analysts by allowing them to prepare data, blend it, and analyze it using intuitive drag-and-drop tools. The platform integrates with over 80 data sources and supports 300 automation tools. Alteryx Designer, with its focus on low-code/no-code capabilities, allows users to create analytic workflows easily, accelerate analytics processes using generative AI and generate insights, without needing to have advanced programming skills. It is also highly versatile, allowing the output of results into over 70 different tools. It is designed to be efficient, allowing businesses to speed up the preparation and analysis of data.

Kylo is an enterprise-ready open-source data lake management platform platform for self-service data ingestion and data preparation. It integrates metadata management, governance, security, and best practices based on Think Big's 150+ big-data implementation projects. Self-service data ingest that includes data validation, data cleansing, and automatic profiling. Visual sql and an interactive transformation through a simple user interface allow you to manage data. Search and explore data and metadata. View lineage and profile statistics. Monitor the health of feeds, services, and data lakes. Track SLAs and troubleshoot performance. To enable user self-service, create batch or streaming pipeline templates in Apache NiFi. While organizations can spend a lot of engineering effort to move data into Hadoop, they often struggle with data governance and data quality. Kylo simplifies data ingest and shifts it to data owners via a simple, guided UI.

The core technology that enables modern data integration and data management. Connect disparate, structured and unstructured data sources quickly. Catalog your entire data ecosystem. The data is kept in the source and can be accessed whenever needed. Adapt data models to the consumer's needs, even if they come from multiple sources. Your back-end technologies can be hidden from end users. You can secure the virtual model and use it to consume standard SQL and other formats such as SOAP, REST, SOAP, and OData. Access to all types data is easy. Data integration and data modeling capabilities are available. Active Data Catalog and self service capabilities for data and metadata discovery and preparation. Full data security and governance capabilities. Data queries executed quickly and intelligently. Real-time data delivery in all formats. Data marketplaces can be created. Data-driven strategies can be made easier by separating business applications and data systems.

Coheris Spad by ChapsVision offers a self-service data analysis service for Data Scientists of all industries and sectors. Coheris Spad is taught at many top French and foreign universities. This gives it a great reputation within the Data Scientists community. Coheris Spad from ChapsVision gives you a wealth of methodological knowledge that covers a wide range of data analysis. You have all the power to discover, prepare, and analyze your data in a user-friendly, intuitive environment.

Over 40 years, we have built our analytics machine and worked with countless clients. We are constantly improving our approach to the modern enterprise. This means that you can see the future and have access to all data. The goal is simple. To enable informed decision-making and help you drive business results. Accessible data is the key to a sophisticated data strategy. How you see your data, its trends and patterns, will determine how useful it is. You can empower your organization to make strategic decisions by using real-time, personalized, and self-service dashboards that bring this data to life. You don't have to rely on gut feelings, or worse, bury yourself in ambiguity. Your entire company can organize around the same information, and grow with exceptional visualization and reporting.

Businesses struggle to find answers as data volumes increase faster than ever. Teradata Vantage™, solves this problem. Vantage uses 100 per cent of the data available to uncover real-time intelligence at scale. This is the new era in Pervasive Data Intelligence. All data across the organization is available in one place. You can access it whenever you need it using preferred languages and tools. Start small and scale up compute or storage to areas that have an impact on modern architecture. Vantage unifies analytics and data lakes in the cloud to enable business intelligence. Data is growing. Business intelligence is becoming more important. Four key issues that can lead to frustration when using existing data analysis platforms include: Lack of the right tools and supportive environment required to achieve quality results. Organizations don't allow or give proper access to the tools they need. It is difficult to prepare data.

Preprocessing is almost always required to make your data ready for you. Our AI automates tedious tasks such as preparing and cleaning your data to save you hours of labor. Data analysts spend 80% their time manually preprocessing and cleansing data to gain insights. AI is a game changer. Transform text columns, such as customer feedback, into 0-5 numerical ratings. Create a new column to analyze sentiments and identify patterns in customer feedback. Remove columns that are not relevant to the data. External data is added to provide a comprehensive view. Unreliable data can lead to faulty decisions. Prioritizing the preparation of high-quality and clean data is essential for your data-driven decision making process. We do not use your data to improve our AI agents. Your information is strictly yours. We store your data on the most reliable cloud providers.

Oracle Big Data Preparation Cloud Service (PaaS), is a cloud-based managed Platform as a Service (PaaS). It allows you to quickly ingest, repair and enrich large data sets in an interactive environment. For down-stream analysis, you can integrate your data to other Oracle Cloud Services such as Oracle Business Intelligence Cloud Service. Oracle Big Data Preparation Cloud Service has important features such as visualizations and profile metrics. Visual access to profile results and summary for each column are available when a data set has been ingested. You also have visual access the duplicate entity analysis results on the entire data set. You can visualize governance tasks on the service homepage with easily understandable runtime metrics, data quality reports and alerts. Track your transforms to ensure that files are being processed correctly. The entire data pipeline is visible, from ingestion through enrichment and publishing.

Tableau Prep is a revolutionary tool that changes the way data prep in an organization. Tableau Prep provides a visual and easy way for business users and analysts to quickly start their analysis. Tableau Prep consists of two products: Tableau Prep Builder to build your data flows and Tableau Prep Conductor to manage, monitor, and schedule flows throughout the organization. You can view row-level data and profiles for each column in three coordinated views. This allows you to see the entire data preparation process. Based on the task, you can choose which view to interact. You can edit a value by selecting and then editing directly. You can instantly change the join type and see the result. You can instantly see the data change with each action, even if you have millions of rows. Tableau Prep Builder allows you to experiment and re-order steps without consequences.

Self-Service Data Preparation tool. Toad®, Data Point is a cross platform, self-service data-integration tool that makes data access, preparation, and provisioning easier. It offers almost unlimited data connectivity and desktop integration. With the Workbook interface for business users you can easily build visual queries and automate workflows with the Workbook interface. Connect to a wide variety of data sources including SQL-based and NoSQL database, ODBC, business intelligence, Microsoft Excel and Access. You can use one tool to profile data and get consistent results. You can create a query without having to write or edit SQL statements. The intuitive graphical user interface makes it easy to create relationships and visualize queries, even for those who are not familiar with SQL. Toad Data Point Professional allows users to choose between two interfaces, depending on what they do. The traditional interface offers maximum flexibility and extensive functionality.

The self-service analytics tools promised to make end users more data-driven and agile. The increased agility resulted in siloed, disconnected work as a part of an ungoverned data-free-for-all. Knowledge Hub addresses these issues by providing a solution that benefits business users and simplifies and improves IT governance. Knowledge Hub is the only market-leading collaborative data preparation platform. It offers a browser-based interface that automates data transform tasks. Business teams can collaborate with data engineers and scientists to create, validate, and share governed, trusted datasets. No coding is required to share work and make better decisions. A cloud-ready solution that is designed to foster innovation can manage governance, data lineage, and collaboration. A platform that is extensible and requires little to no code allows multiple people in the enterprise to transform data.

The data refinery tool is available in IBM Watson®, Studio and Watson™, Knowledge Catalog. It transforms large amounts of data quickly into useful, high-quality information that's ready to be used for analytics. Over 100 built-in operations allow you to interactively search, cleanse, and transform data. No programming skills are required. You can easily analyze the distribution and quality of your data with dozens of built in graphs, charts, and statistics. Automatically identify data types and business classes. Access and explore data from a variety of data sources within your organization, or in the cloud. Data governance professionals can automatically enforce policies. For repeatable results, schedule data flow executions. Receive notifications and monitor results. Apache Spark allows you to easily scale out and apply transformation recipes to full data sets. No need to manage Apache Spark clusters.

Oracle Analytics is a comprehensive platform designed for all analytics user roles, integrating AI and machine learning across the board to boost productivity and enable smarter business decisions. Whether you opt for Oracle Analytics Cloud, our cloud-native service, or Oracle Analytics Server, our on-premises solution, you can ensure robust security and governance without compromise.

Invenis is a data mining and analysis platform. You can easily clean, aggregate, and analyze your data. Then scale up to improve your decision-making. Data enrichment, cleansing, harmonization, and preparation of data are all possible. Prediction, segmentation, recommendation. Invenis connects with all your data sources, MySQL and Oracle, Postgres SQL (Hadoop), HDFS (Hadoop), HDFS (Hadoop), HDFS (Hadoop), HDFS, HDFS, HDFS) and allows you to analyze all files, CSV, JSON etc. You can make predictions on all your data without having to code or need for a team. Based on your data and use cases, the best algorithms are automatically selected. Automate repetitive tasks and your recurring analysis. You can save time and fully utilize your data's potential! You can work together with other analysts in your team as well as with all other teams. This makes decision-making easier and information is easily shared with all levels of the company.

You can build, run, and manage AI models and optimize decisions across any cloud. IBM Watson Studio allows you to deploy AI anywhere with IBM Cloud Pak®, the IBM data and AI platform. Open, flexible, multicloud architecture allows you to unite teams, simplify the AI lifecycle management, and accelerate time-to-value. ModelOps pipelines automate the AI lifecycle. AutoAI accelerates data science development. AutoAI allows you to create and programmatically build models. One-click integration allows you to deploy and run models. Promoting AI governance through fair and explicable AI. Optimizing decisions can improve business results. Open source frameworks such as PyTorch and TensorFlow can be used, as well as scikit-learn. You can combine the development tools, including popular IDEs and Jupyter notebooks. JupterLab and CLIs. This includes languages like Python, R, and Scala. IBM Watson Studio automates the management of the AI lifecycle to help you build and scale AI with trust.

TROCCO is an automation and data integration platform that streamlines the data engineering workflow by combining multiple aspects into a single solution. This reduces the time and effort needed to build data pipelines using different tools. It has a wide range of features including ETL/ELT and orchestration, transformation and reverse ETL. This allows for seamless data movement from and to cloud warehouses, allowing downstream analytics, AI and ML applications. TROCCO is a SaaS platform that manages infrastructure and scaling issues, allowing users the freedom to focus on extracting maximum value from their data, rather than managing pipelines. It supports batch and near-real-time data synchronization via HTTP, custom integrations and connectivity to on-premise data sources. Users can transform data with Python or no-code template, model it using SQL or dbt and orchestrate pipelines via an integrated workflow engine.

Weights & Biases allows for experiment tracking, hyperparameter optimization and model and dataset versioning. With just 5 lines of code, you can track, compare, and visualise ML experiments. Add a few lines of code to your script and you'll be able to see live updates to your dashboard each time you train a different version of your model. Our hyperparameter search tool is scalable to a massive scale, allowing you to optimize models. Sweeps plug into your existing infrastructure and are lightweight. Save all the details of your machine learning pipeline, including data preparation, data versions, training and evaluation. It's easier than ever to share project updates. Add experiment logging to your script in a matter of minutes. Our lightweight integration is compatible with any Python script. W&B Weave helps developers build and iterate their AI applications with confidence.

Monitor your data health, and monitor your pipeline performance. Get unified visibility for all pipelines that use cloud-native tools such as Apache Spark, Snowflake and BigQuery. A platform for Data Engineers that provides observability. Data engineering is becoming more complex as business stakeholders demand it. Databand can help you catch-up. More pipelines, more complexity. Data engineers are working with more complex infrastructure and pushing for faster release speeds. It is more difficult to understand why a process failed, why it is running late, and how changes impact the quality of data outputs. Data consumers are frustrated by inconsistent results, model performance, delays in data delivery, and other issues. A lack of transparency and trust in data delivery can lead to confusion about the exact source of the data. Pipeline logs, data quality metrics, and errors are all captured and stored in separate, isolated systems.

You can load your data into Hadoop or data lakes. Prepare it for visualizations, advanced analytics, reports and reporting - all from the data lakes. You can do it all yourself, fast and easily. It makes it easy to access, transform, and manage data stored in Hadoop/data lakes using a web-based interface. This reduces training requirements. It was designed from the ground up to manage large amounts of data in Hadoop and data lakes. It is not repurposed or adapted from existing IT-focused tools. You can group multiple directives together to run simultaneously, or one after another. The exposed Public API allows you to schedule and automate directives. Allows you to share or secure directives. These directives can be called from SAS Data Integration Studio. This combines technical and non-technical user activities. Included directives: casing, gender, pattern analysis, field extract, match-merge, cluster-survive. For better performance, profiling runs parallel on the Hadoop cluster.

Gathr is a Data+AI fabric, helping enterprises rapidly deliver production-ready data and AI products. Data+AI fabric enables teams to effortlessly acquire, process, and harness data, leverage AI services to generate intelligence, and build consumer applications— all with unparalleled speed, scale, and confidence. Gathr’s self-service, AI-assisted, and collaborative approach enables data and AI leaders to achieve massive productivity gains by empowering their existing teams to deliver more valuable work in less time. With complete ownership and control over data and AI, flexibility and agility to experiment and innovate on an ongoing basis, and proven reliable performance at real-world scale, Gathr allows them to confidently accelerate POVs to production. Additionally, Gathr supports both cloud and air-gapped deployments, making it the ideal choice for diverse enterprise needs. Gathr, recognized by leading analysts like Gartner and Forrester, is a go-to-partner for Fortune 500 companies, such as United, Kroger, Philips, Truist, and many others.

DataPreparator is a software tool that can be used to help with data preparation, or data preprocessing, in data analysis and/or data mining. DataPreparator is a free software tool that can help you prepare and explore data in different ways before data analysis or data mining. It has operators for cleaning and discretization, numeration. Scaling, attribute selection, missing values. outliers, statistics. Visualization, balancing, sampling, row selection and many other tasks. Access data from text files, relational database, and Excel workbooks. Large volumes of data can be handled (data sets are not stored in computer memory, except for Excel workbooks and result set of some databases that do not support data streaming). It can be used alone, without the need for any other tools. A graphical user interface that is easy to use. Operator chaining allows you to create preprocessing transformation sequences (operator tree). Model tree creation for execution/test data.

Power Query makes it easy to connect, extract and transform data from a variety of sources. Power Query is a data preparation and transformation engine. Power Query includes a graphical interface to retrieve data from sources, and a Power Query Editor to apply transformations. The destination where the data will be stored is determined by where Power Query was installed. Power Query allows you to perform the extraction, transform, load (ETL), processing of data. Microsoft's Data Connectivity and Data Preparation technology allows you to seamlessly access data from hundreds of sources and modify it to your requirements. It is easy to use and engage with, and requires no code. Power Query supports hundreds data sources with built in connectors and generic interfaces (such REST APIs and ODBC, OLE and DB) as well as the Power Query SDK for creating your own connectors.

Synthesized can help you unlock the full potential of your data projects and AI. We automate all stages of data preparation and provisioning with cutting-edge AI. The platform synthesizes data without exposing personal information or causing compliance issues. Software to prepare and provide accurate synthetic data for building better models at scale. Synthesized solves the problem of data sharing for businesses. 40% of companies that invest in AI can't report business benefits. Our easy-to-use platform allows data scientists, product, and marketing teams to focus on revealing critical insight. Without representative data, testing data-driven applications can be difficult. This can lead to problems when services go live.

Amazon SageMaker Data Wrangler cuts down the time it takes for data preparation and aggregation for machine learning (ML). This reduces the time taken from weeks to minutes. SageMaker Data Wrangler makes it easy to simplify the process of data preparation. It also allows you to complete every step of the data preparation workflow (including data exploration, cleansing, visualization, and scaling) using a single visual interface. SQL can be used to quickly select the data you need from a variety of data sources. The Data Quality and Insights Report can be used to automatically check data quality and detect anomalies such as duplicate rows or target leakage. SageMaker Data Wrangler has over 300 built-in data transforms that allow you to quickly transform data without having to write any code. After you've completed your data preparation workflow you can scale it up to your full datasets with SageMaker data processing jobs. You can also train, tune and deploy models using SageMaker data processing jobs.

Upsolver makes it easy to create a governed data lake, manage, integrate, and prepare streaming data for analysis. Only use auto-generated schema on-read SQL to create pipelines. A visual IDE that makes it easy to build pipelines. Add Upserts to data lake tables. Mix streaming and large-scale batch data. Automated schema evolution and reprocessing of previous state. Automated orchestration of pipelines (no Dags). Fully-managed execution at scale Strong consistency guarantee over object storage Nearly zero maintenance overhead for analytics-ready information. Integral hygiene for data lake tables, including columnar formats, partitioning and compaction, as well as vacuuming. Low cost, 100,000 events per second (billions every day) Continuous lock-free compaction to eliminate the "small file" problem. Parquet-based tables are ideal for quick queries.

The SAP Agile Data Preparation app helps you achieve more success in data migration, analytics, and master data management (MDM). You can quickly transform your data into actionable, easily digestible information. It also simplifies how you access and discover data's shape to make you more productive and agile than ever before.

BDB is a modern data analysis and BI platform that can dig deep into your data to uncover actionable insights. It can be deployed on-premise or in the cloud. Our unique microservices-based architecture includes elements such as Data Preparation and Predictive, Pipeline, Dashboard designer, and Pipeline. This allows us to offer customized solutions and scalable analysis to different industries. BDB's NLP-based search allows users to access the data power on desktop, tablet, and mobile. BDB is equipped with many data connectors that allow it to connect to a variety of data sources, apps, third-party API's, IoT and social media. It works in real-time. It allows you to connect to RDBMS and Big data, FTP/ SFTP Server flat files, web services, and FTP/ SFTP Server. You can manage unstructured, semi-structured, and structured data. Get started on your journey to advanced analysis today.

The ever-on economy of today is creating data at an ever-increasing rate. It's important to be data-driven so that you can react quickly to new opportunities and stay ahead of your competitors. What if data provisioning and preparation could be simplified? What if you could share data insights across teams and perform database analysis more efficiently? Imagine if you could do this with a time saving of up to 40% Toad Intelligence Central, a server-based application, can be used in conjunction with Toad(r] Data Point. It transfers power back into your business at a cost-effective price. Secure, controlled access to SQL scripts, project artifacts and automation workflows can improve collaboration among Toad users. Advanced data connectivity allows you to easily abstract structured and unstructured data sources to create refreshable datasets that can be used by any Toad user.

We are a company based in Indonesia that specializes in data management. We offer both a product and a consultancy service as a company. Delman is a combination of "Data Excavation Learning and Management" and is dedicated to providing data science solutions that focus on data preparation. Delman's goal is to accelerate digital transformation through the integration and warehouse of a gazillion data sources in more efficient ways. The company has served a wide variety of industries, including conglomerates and the government of Indonesia. The Delman team has a strong background in technical skills and operational skills. This allows them to create a niche in Indonesia's deep-tech landscape. We believe we can use international best practices to create the most efficient and sophisticated tools possible. Delman believes that people with diverse backgrounds and talents can create top-notch solutions.

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.

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.

Datuum is an AI-powered data integration tool that offers a unique solution for organizations looking to streamline their data integration process. With our pre-trained AI engine, Datuum simplifies customer data onboarding by allowing for automated integration from various sources without coding. This reduces data preparation time and helps establish resilient connectors, ultimately freeing up time for organizations to focus on generating insights and improving the customer experience. At Datuum, we have over 40 years of experience in data management and operations, and we've incorporated our expertise into the core of our product. Our platform is designed to address the critical challenges faced by data engineers and managers while being accessible and user-friendly for non-technical specialists. By reducing up to 80% of the time typically spent on data-related tasks, Datuum can help organizations optimize their data management processes and achieve more efficient outcomes.

K2View believes that every enterprise should be able to leverage its data to become as disruptive and agile as possible. We enable this through our Data Product Platform, which creates and manages a trusted dataset for every business entity – on demand, in real time. The dataset is always in sync with its sources, adapts to changes on the fly, and is instantly accessible to any authorized data consumer. We fuel operational use cases, including customer 360, data masking, test data management, data migration, and legacy application modernization – to deliver business outcomes at half the time and cost of other alternatives.

MyDataModels' best-in-class predictive analytics model TADA allows professionals to use their Small Data to improve their business. It is a simple-to-use tool that is easy to set up. TADA is a predictive modeling tool that delivers fast and useful results. With our 40% faster automated data preparation, you can transform your time from days to just a few hours to create ad-hoc effective models. You can get results from your data without any programming or machine learning skills. Make your time more efficient with easy-to-understand models that are clear and understandable. You can quickly turn your data into insights on any platform and create automated models that are effective. TADA automates the process of creating predictive models. Our web-based pre-processing capabilities allow you to create and run machine learning models from any device or platform.

Tamr's next-generation platform for data mastering combines machine learning and human feedback to eliminate data silos and continually clean up and deliver accurate data throughout your business. Tamr works with top organizations worldwide to solve their most difficult data problems. To solve problems such as duplicate records and errors, Tamr works with leading organizations around the world to provide a complete view of all your data - from customers, suppliers, and product. Next-generation data mastering combines machine learning and human feedback to provide clean data that can be used to make business decisions. Clean data can be fed to operational systems and analytics tools with up to 80% less effort than traditional methods. Tamr assists financial firms to stay data-driven and improve their business results, from Customer 360 to reference data administration. Tamr assists the public sector in meeting mission requirements faster by reducing manual workflows for data entity resolution.

Datameer is your go-to data tool for exploring, preparing, visualizing, and cataloging Snowflake insights. From exploring raw datasets to driving business decisions – an all-in-one tool.