Alternatives to Zoho DataPrep
Compare Zoho DataPrep alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Zoho DataPrep in 2024. Compare features, ratings, user reviews, pricing, and more from Zoho DataPrep competitors and alternatives in order to make an informed decision for your business.
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IBM SPSS Statistics software is used by a variety of customers to solve industry-specific business issues to drive quality decision-making. Advanced statistical procedures and visualization can provide a robust, user friendly and an integrated platform to understand your data and solve complex business and research problems. • Addresses all facets of the analytical process from data preparation and management to analysis and reporting • Provides tailored functionality and customizable interfaces for different skill levels and functional responsibilities • Delivers graphs and presentation-ready reports to easily communicate results Organizations of all types have relied on proven IBM SPSS Statistics technology to increase revenue, outmaneuver competitors, conduct research, and data driven decision-making.
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Google Cloud BigQuery
Google
BigQuery is a serverless, multicloud data warehouse that simplifies the process of working with all types of data so you can focus on getting valuable business insights quickly. At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely scale analytics, share rich data experiences with built-in business intelligence, and train and deploy ML models with a simple SQL interface, helping to make your organization’s operations more data-driven. -
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Minitab Connect
Minitab
The best insights are based on the most complete, most accurate, and most timely data. Minitab Connect empowers data users from across the enterprise with self-serve tools to transform diverse data into a governed network of data pipelines, feed analytics initiatives and foster organization-wide collaboration. Users can effortlessly blend and explore data from databases, cloud and on-premise apps, unstructured data, spreadsheets, and more. Flexible, automated workflows accelerate every step of the data integration process, while powerful data preparation and visualization tools help yield transformative insights. Flexible, intuitive data integration tools let users connect and blend data from a variety of internal and external sources, like data warehouses, data lakes, IoT devices, SaaS applications, cloud storage, spreadsheets, and email. -
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Rivery
Rivery
Rivery’s SaaS ETL platform provides a fully-managed solution for data ingestion, transformation, orchestration, reverse ETL and more, with built-in support for your development and deployment lifecycles. Key Features: Data Workflow Templates: Extensive library of pre-built templates that enable teams to instantly create powerful data pipelines with the click of a button. Fully managed: No-code, auto-scalable, and hassle-free platform. Rivery takes care of the back end, allowing teams to spend time on priorities rather than maintenance. Multiple Environments: Construct and clone custom environments for specific teams or projects. Reverse ETL: Automatically send data from cloud warehouses to business applications, marketing clouds, CPD’s, and more.Starting Price: $0.75 Per Credit -
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Incorta
Incorta
Direct is the shortest path from data to insight. Incorta empowers everyone in your business with a true self-service data experience and breakthrough performance for better decisions and incredible results. What if you could bypass fragile ETL and expensive data warehouses, and deliver data projects in days, instead of weeks or months? Our direct approach to analytics delivers true self-service in the cloud or on-premises with agility and performance. Incorta is used by the world’s largest brands to succeed where other analytics solutions fail. Across multiple industries and lines of business, we boast connectors and pre-built solutions for your enterprise applications and technologies. Game-changing innovation and customer success happen through Incorta’s partners including Microsoft, AWS, eCapital, and Wipro. Explore or join our thriving partner ecosystem. -
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DataFisher
BizGaze Limited
Deep Dive into Data for Actionable Insights. Evolving data infrastructures need an accurate aggregator to extract the required data for actionable insights. DataFisher is a third-party data extractor that extracts data from various sources and creates one source of a large data pool for actionable market insights and effective decision-making. Can integrate with multiple ERPs in partner ecosystems like Tally, SAP-B One, etc., with real-time analytics for enhanced data-based business decisions. 1. Secondary and Tertiary Data Extraction. 2. Secondary Data Inventory Status. 3. Enabled Dashboards and Reports. 4. An innovative and data-driven approach.Starting Price: ₹15,00,000 one time -
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Trifacta
Trifacta
The fastest way to prep data and build data pipelines in the cloud. Trifacta provides visual and intelligent guidance to accelerate data preparation so you can get to insights faster. Poor data quality can sink any analytics project. Trifacta helps you understand your data so you can quickly and accurately clean it up. All the power with none of the code. Trifacta provides visual and intelligent guidance so you can get to insights faster. Manual, repetitive data preparation processes don’t scale. Trifacta helps you build, deploy and manage self-service data pipelines in minutes not months. -
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MassFeeds
Mass Analytics
MassFeeds is a specialized data preparation tool. It allows to automatically and quickly prepare data presenting multiple formats and coming from various sources. It is designed to accelerate and facilitate the data prep process through the creation of automated data pipelines for your marketing mix model. Data is being created and collected at an increasing pace and organizations cannot expect heavy manual data preparation processes to scale. MassFeeds help clients prepare data collected from various sources and present multiple formats using a seamless, automated, and easy-to-tweak process. Using MassFeeds’ pipeline of processors, data is structured into a standard format that can easily be ingested for modeling. Avoid manual data preparation which is prone to human errors. Make data processing accessible to a wider spectrum of users. Save more than 40% in processing time by automating repetitive tasks. -
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Talend Data Preparation
Talend
Quickly prepare data for trusted insights throughout the organization. Data and business analysts spend too much time cleaning data instead of analyzing it. Talend Data Preparation provides a self-service, browser-based, point-and-click tool to quickly identify errors and apply rules that you can easily reuse and share, even across massive data sets. Our intuitive UI and self-service data preparation and curation functionality make it possible for anyone to do data profiling, cleansing, and enriching in real time. Users can share preparations and curated datasets, and embed data preparations into batch, bulk, and live data integration scenarios. Talend lets you turn ad-hoc data enrichment and analysis jobs into fully managed, reusable processes. Operationalize data preparation from virtually any data source, including Teradata, AWS, Salesforce, and Marketo, always using the latest datasets. Talend Data Preparation puts data governance in your hands. -
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Paxata
Paxata
Paxata is a visually-dynamic, intuitive solution that enables business analysts to rapidly ingest, profile, and curate multiple raw datasets into consumable information in a self-service manner, greatly accelerating development of actionable business insights. In addition to empowering business analysts and SMEs, Paxata also provides a rich set of workload automation and embeddable data preparation capabilities to operationalize and deliver data preparation as a service within other applications. The Paxata Adaptive Information Platform (AIP) unifies data integration, data quality, semantic enrichment, re-use & collaboration, and also provides comprehensive data governance and audit capabilities with self-documenting data lineage. The Paxata AIP utilizes a native multi-tenant elastic cloud architecture and is the only modern information platform that is currently deployed as a multi-cloud hybrid information fabric. -
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Zaloni Arena
Zaloni
End-to-end DataOps built on an agile platform that improves and safeguards your data assets. Arena is the premier augmented data management platform. Our active data catalog enables self-service data enrichment and consumption to quickly control complex data environments. Customizable workflows that increase the accuracy and reliability of every data set. Use machine-learning to identify and align master data assets for better data decisioning. Complete lineage with detailed visualizations alongside masking and tokenization for superior security. We make data management easy. Arena catalogs your data, wherever it is and our extensible connections enable analytics to happen across your preferred tools. Conquer data sprawl challenges: Our software drives business and analytics success while providing the controls and extensibility needed across today’s decentralized, multi-cloud data complexity. -
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IRI CoSort
IRI, The CoSort Company
What is CoSort? IRI CoSort® is a fast, affordable, and easy-to-use sort/merge/report utility, and a full-featured data transformation and preparation package. The world's first sort product off the mainframe, CoSort continues to deliver maximum price-performance and functional versatility for the manipulation and blending of big data sources. CoSort also powers the IRI Voracity data management platform and many third-party tools. What does CoSort do? CoSort runs multi-threaded sort/merge jobs AND many other high-volume (big data) manipulations separately, or in combination. It can also cleanse, mask, convert, and report at the same time. Self-documenting 4GL scripts supported in Eclipse™ help you speed or leave legacy: sort, ETL and BI tools; COBOL and SQL programs, plus Hadoop, Perl, Python, and other batch jobs. Use CoSort to sort, join, aggregate, and load 2-20X faster than data wrangling and BI tools, 10x faster than SQL transforms, and 6x faster than most ETL tools.Starting Price: From $4K USD perpetual use -
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Verodat
Verodat
Verodat is a SaaS platform that gathers, prepares, enriches and connects your business data to AI Analytics tools. For outcomes you can trust. Verodat automates data cleansing & consolidates data into a clean, trustworthy data layer to feed downstream reporting. Manages data requests to suppliers. Monitors the data workflow to identify bottlenecks & resolve issues. Generates an audit trail to evidence quality assurance for every data row. Customize validation & governance to suit your organization. Reduces data prep time by 60%, allowing data analysts to focus on insights. The central KPI Dashboard reports key metrics on your data pipeline, allowing you to identify bottlenecks, resolve issues and improve performance. The flexible rules engine allows users to easily create validation and testing to suit your organization's needs. With out of the box connections to Snowflake, Azure and other cloud systems, it's easy to integrate with your existing tools. -
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Alteryx
Alteryx
Step into a new era of analytics with the Alteryx AI Platform. Empower your organization with automated data preparation, AI-powered analytics, and approachable machine learning — all with embedded governance and security. Welcome to the future of data-driven decisions for every user, every team, every step of the way. Empower your teams with an easy, intuitive user experience allowing everyone to create analytic solutions that improve productivity, efficiency, and the bottom line. Build an analytics culture with an end-to-end cloud analytics platform and transform data into insights with self-service data prep, machine learning, and AI-generated insights. Reduce risk and ensure your data is fully protected with the latest security standards and certifications. Connect to your data and applications with open API standards. -
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Kylo
Teradata
Kylo is an open source enterprise-ready data lake management software platform for self-service data ingest and data preparation with integrated metadata management, governance, security and best practices inspired by Think Big's 150+ big data implementation projects. Self-service data ingest with data cleansing, validation, and automatic profiling. Wrangle data with visual sql and an interactive transform through a simple user interface. Search and explore data and metadata, view lineage, and profile statistics. Monitor health of feeds and services in the data lake. Track SLAs and troubleshoot performance. Design batch or streaming pipeline templates in Apache NiFi and register with Kylo to enable user self-service. Organizations can expend significant engineering effort moving data into Hadoop yet struggle to maintain governance and data quality. Kylo dramatically simplifies data ingest by shifting ingest to data owners through a simple guided UI. -
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Alteryx Designer
Alteryx
Drag-and-drop tools and generative AI enable analysts to prepare & blend data up to 100 faster than traditional solutions. Self-service data analytics platform puts the power in every analyst’s hands and removes expensive bottlenecks in the analytics journey. Alteryx Designer is a self-service data analytics platform designed to empower analysts by enabling them to prepare, blend, and analyze data using intuitive, drag-and-drop tools. The platform supports over 300 tools for automation and integrates with more than 80 data sources. With a focus on low-code and no-code capabilities, Alteryx Designer allows users to easily create analytic workflows, accelerate analytics processes with generative AI, and generate insights without needing advanced programming skills. It also enables the output of results to over 70 different tools, making it highly versatile. Designed for efficiency, it allows businesses to speed up data preparation and analysis. -
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Coheris Spad
ChapsVision
Coheris Spad by ChapsVision is a self-service data analysis studio for Data Scientists from all sectors and industries. Coheris Spad by ChapsVision is taught in many major French and foreign schools and universities, giving it a great reputation in the Data Scientists community. Coheris Spad by ChapsVision provides you with a great methodological wealth covering a very broad spectrum in terms of data analysis. In a user-friendly and intuitive environment, you have all the power you need to discover, prepare and analyze your data. Coheris Spad by ChapsVision allows you to connect to many sources to prepare your data. You have a vast library of data processing functions at your disposal: filtering, stacking, aggregation, transposition, join, management of missing data, search for atypical distributions, statistical or supervised recoding, formatting. -
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TIBCO Clarity
TIBCO
TIBCO Clarity is a data preparation tool that offers you on-demand software services from the web in the form of Software-as-a-Service. You can use TIBCO Clarity to discover, profile, cleanse, and standardize raw data collated from disparate sources and provide good quality data for accurate analysis and intelligent decision-making. You can collect your raw data from disparate sources in variety of data formats. The supported data sources are disk drives, databases, tables, and spreadsheets, both cloud and on-premise. TIBCO Clarity detects data patterns and data types for auto-metadata generation. You can profile row and column data for completeness, uniqueness, and variation. Predefined facets categorize data based on text occurrences and text patterns. You can use the numeric distributions to identify variations and outliers in the data. -
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Denodo
Denodo Technologies
The core technology to enable modern data integration and data management solutions. Quickly connect disparate structured and unstructured sources. Catalog your entire data ecosystem. Data stays in the sources and it is accessed on demand, with no need to create another copy. Build data models that suit the needs of the consumer, even across multiple sources. Hide the complexity of your back-end technologies from the end users. The virtual model can be secured and consumed using standard SQL and other formats like REST, SOAP and OData. Easy access to all types of data. Full data integration and data modeling capabilities. Active Data Catalog and self-service capabilities for data & metadata discovery and data preparation. Full data security and data governance capabilities. Fast intelligent execution of data queries. Real-time data delivery in any format. Ability to create data marketplaces. Decoupling of business applications from data systems to facilitate data-driven strategies. -
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Teradata Vantage
Teradata
As data volumes grow faster than ever, businesses struggle to get answers. Teradata Vantage™ solves this problem. Vantage uses 100 percent of available data to uncover real-time business intelligence at scale, powering the new era of Pervasive Data Intelligence. See all data from across the entire organization in one place, whenever it's needed, with preferred languages and tools. Start small and elastically scale compute or storage in areas that impact modern architecture. Vantage unifies analytics, Data Lakes, and Data Warehouses, all in the cloud to enable business intelligence. The importance of business intelligence increases. Frustration stems from four key challenges that arise when using existing data analytics platforms: Lack of proper tools and supportive environment needed to achieve quality results. Organizations do not authorize or provide proper accessibility to the necessary tools. Data preparation is difficult. -
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ibi
ibi
We’ve built our analytics machine over 40 years and countless clients, constantly developing the most updated approach for the latest modern enterprise. Today, that means superior visualization, at-your-fingertips insights generation, and the ability to democratize access to data. The single-minded goal? To help you drive business results by enabling informed decision-making. A sophisticated data strategy only matters if the data that informs it is accessible. How exactly you see your data – its trends and patterns – determines how useful it can be. Empower your organization to make sound strategic decisions by employing real-time, customized, and self-service dashboards that bring that data to life. You don’t need to rely on gut feelings or, worse, wallow in ambiguity. Exceptional visualization and reporting allows your entire enterprise to organize around the same information and grow. -
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Gathr
Gathr
The only all-in-one data pipeline platform. Built ground-up for a cloud-first world, Gathr is the only platform to handle all your data integration and engineering needs - ingestion, ETL, ELT, CDC, streaming analytics, data preparation, machine learning, advanced analytics and more. With Gathr, anyone can build and deploy pipelines in minutes, irrespective of skill levels. Create Ingestion pipelines in minutes, not weeks. Ingest data from any source, deliver to any destination. Build applications quickly with a wizard-based approach. Replicate data in real-time using a templatized CDC app. Native integration for all sources and targets. Best-in-class capabilities with everything you need to succeed today and tomorrow. Choose between free, pay-per-use or customize as per your requirements. -
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Oracle Big Data Preparation
Oracle
Oracle Big Data Preparation Cloud Service is a managed Platform as a Service (PaaS) cloud-based offering that enables you to rapidly ingest, repair, enrich, and publish large data sets with end-to-end visibility in an interactive environment. You can integrate your data with other Oracle Cloud Services, such as Oracle Business Intelligence Cloud Service, for down-stream analysis. Profile metrics and visualizations are important features of Oracle Big Data Preparation Cloud Service. When a data set is ingested, you have visual access to the profile results and summary of each column that was profiled, and the results of duplicate entity analysis completed on your entire data set. Visualize governance tasks on the service Home page with easily understood runtime metrics, data health reports, and alerts. Keep track of your transforms and ensure that files are processed correctly. See the entire data pipeline, from ingestion to enrichment and publishing. -
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DataMotto
DataMotto
Your data almost always requires preprocessing to be ready for your needs. Our AI automates the tedious task of preparing and cleansing your data, saving you hours of work. Data analysts spend 80% of their time preprocessing and cleaning data for insights, a tedious, manual task. AI is a game-changer. Transform text columns like customer feedback into 0-5 numeric ratings. Identify patterns in customer feedback and create a new column for sentiment analysis. Remove unnecessary columns to focus on impactful data. Enriched with external data for comprehensive insights. Unreliable data leads to misguided decisions. Preparing high-quality, clean data should be the first priority in your data-driven decision-making process. Rest assured, we do not utilize your data to enhance our AI agents; your information remains strictly yours. We store your data with the most reliable and trusted cloud providers.Starting Price: $29 per month -
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Toad Data Point
Quest
Self-Service Data Preparation Tool. Toad® Data Point is a cross-platform, self-service, data-integration tool that simplifies data access, preparation and provisioning. It provides nearly limitless data connectivity and desktop data integration, and with the Workbook interface for business users, you get simple-to-use visual query building and workflow automation. Connect to a wide range of data sources, including SQL-based and NoSQL databases, ODBC, business intelligence sources, and Microsoft Excel or Access. Use a single tool for data profiling needs and get consistent results. Create a query without writing or editing SQL statements. Even for those familiar with SQL, the intuitive graphical user interface makes it easier to create relationships and visualize the query. Toad Data Point Professional lets each user choose between two different interfaces depending on their work. The traditional interface provides ultimate flexibility and a deep breadth of functionality. -
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Tableau Prep
Tableau
Tableau Prep changes the way traditional data prep is performed in an organization. By providing a visual and direct way to combine, shape and clean data, Tableau Prep makes it easier for analysts and business users to start their analysis, faster. Tableau Prep is comprised of two products: Tableau Prep Builder for building your data flows, and Tableau Prep Conductor for scheduling, monitoring and managing flows across the organization. Three coordinated views let you see row-level data, profiles of each column, and your entire data preparation process. Pick which view to interact with based on the task at hand. If you want to edit a value, you select and directly edit. Change your join type, and see the result right away. With each action, you instantly see your data change, even on millions of rows of data. Tableau Prep Builder gives you the freedom to re-order steps and experiment without consequence.Starting Price: $70 per user per month -
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Available in IBM Watson® Studio and Watson™ Knowledge Catalog, the data refinery tool saves data preparation time by quickly transforming large amounts of raw data into consumable, quality information that’s ready for analytics. Interactively discover, cleanse, and transform your data with over 100 built-in operations. No coding skills are required. Understand the quality and distribution of your data using dozens of built-in charts, graphs, and statistics. Automatically detect data types and business classifications. Access and explore data residing in a wide spectrum of data sources within your organization or the cloud. Automatically enforce policies set by data governance professionals. Schedule data flow executions for repeatable outcomes. Monitor results and receive notifications. Easily scale out via Apache Spark to apply transformation recipes on full data sets. No management of Apache Spark clusters needed.
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Altair Knowledge Hub
Altair
Self-service analytics tools promised to make end-users more agile and data-driven. However, the increased agility led to siloed and disconnected work as part of an ungoverned data free-for-all. Knowledge Hub addresses these issues with a solution that benefits business users, while simplifying and improving governance for IT. With an intuitive browser-based interface that automates data transformation tasks, Knowledge Hub is the market’s only collaborative data preparation solution. Business teams can work with data engineers and data scientists using a personalized experience for creating, validating and sharing governed, trusted datasets and analytic models. With no coding required, more people can share their work to make more informed decisions. Governance, data lineage and collaboration are managed using a cloud-ready solution designed to create innovation. An extensible, low- to no-code platform allows many people across the enterprise to easily transform data. -
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Invenis
Invenis
Invenis is a data analysis and mining platform. Clean, aggregate and analyze your data in a simple way and scale up to improve your decision making. Data harmonization, preparation and cleansing, data enrichment, and aggregation. Prediction, segmentation, recommendation. Invenis connects to all your data sources, MySQL, Oracle, Postgres SQL, HDFS (Hadoop), and allows you to analyze all your files, CSV, JSON, etc. Make predictions on all your data, without code and without the need for a team of experts. The best algorithms are automatically chosen according to your data and use cases. Repetitive tasks and your recurring analyses are automated. Save time to exploit the full potential of your data! You can work as a team, with the other analysts in your team, but also with all teams. This makes decision-making more efficient and information is disseminated to all levels of the company. -
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Build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio empowers you to operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. Unite teams, simplify AI lifecycle management and accelerate time to value with an open, flexible multicloud architecture. Automate AI lifecycles with ModelOps pipelines. Speed data science development with AutoAI. Prepare and build models visually and programmatically. Deploy and run models through one-click integration. Promote AI governance with fair, explainable AI. Drive better business outcomes by optimizing decisions. Use open source frameworks like PyTorch, TensorFlow and scikit-learn. Bring together the development tools including popular IDEs, Jupyter notebooks, JupterLab and CLIs — or languages such as Python, R and Scala. IBM Watson Studio helps you build and scale AI with trust and transparency by automating AI lifecycle management.
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IBM Databand
IBM
Monitor your data health and pipeline performance. Gain unified visibility for pipelines running on cloud-native tools like Apache Airflow, Apache Spark, Snowflake, BigQuery, and Kubernetes. An observability platform purpose built for Data Engineers. Data engineering is only getting more challenging as demands from business stakeholders grow. Databand can help you catch up. More pipelines, more complexity. Data engineers are working with more complex infrastructure than ever and pushing higher speeds of release. It’s harder to understand why a process has failed, why it’s running late, and how changes affect the quality of data outputs. Data consumers are frustrated with inconsistent results, model performance, and delays in data delivery. Not knowing exactly what data is being delivered, or precisely where failures are coming from, leads to persistent lack of trust. Pipeline logs, errors, and data quality metrics are captured and stored in independent, isolated systems. -
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Load your data into or out of Hadoop and data lakes. Prep it so it's ready for reports, visualizations or advanced analytics – all inside the data lakes. And do it all yourself, quickly and easily. Makes it easy to access, transform and manage data stored in Hadoop or data lakes with a web-based interface that reduces training requirements. Built from the ground up to manage big data on Hadoop or in data lakes; not repurposed from existing IT-focused tools. Lets you group multiple directives to run simultaneously or one after the other. Schedule and automate directives using the exposed Public API. Enables you to share and secure directives. Call them from SAS Data Integration Studio, uniting technical and nontechnical user activities. Includes built-in directives – casing, gender and pattern analysis, field extraction, match-merge and cluster-survive. Profiling runs in-parallel on the Hadoop cluster for better performance.
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Microsoft Power Query
Microsoft
Power Query is the easiest way to connect, extract, transform and load data from a wide range of sources. Power Query is a data transformation and data preparation engine. Power Query comes with a graphical interface for getting data from sources and a Power Query Editor for applying transformations. Because the engine is available in many products and services, the destination where the data will be stored depends on where Power Query was used. Using Power Query, you can perform the extract, transform, and load (ETL) processing of data. Microsoft’s Data Connectivity and Data Preparation technology that lets you seamlessly access data stored in hundreds of sources and reshape it to fit your needs—all with an easy to use, engaging, no-code experience. Power Query supports hundreds of data sources with built-in connectors, generic interfaces (such as REST APIs, ODBC, OLE, DB and OData) and the Power Query SDK to build your own connectors. -
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Qlik Catalog
Qlik
When you empower your business with on-demand access to analytics-ready data, you accelerate discovery and people get answers faster. Qlik Catalog is an enterprise data catalog that simplifies and accelerates the profiling, organization, preparation, and delivery of trustworthy, actionable data in days, not months. Qlik Catalog builds a secure, enterprise-scale catalog of all the data your organization has available for analytics, no matter where it is. Powerful, automated data preparation and metadata tools streamline the transformation of raw data into analytics-ready information assets. Business users get a single, go-to data catalog to find, understand, and use any enterprise data source to gain insights. Automatically profile and document the exact content, structure, and quality of your data using built-in data loaders to simplify and accelerate the process. Build a Smart Data Catalog that documents every aspect of your data.Starting Price: $30 per user per month -
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DataPreparator
DataPreparator
DataPreparator is a free software tool designed to assist with common tasks of data preparation (or data preprocessing) in data analysis and data mining. DataPreparator can assist you with exploring and preparing data in various ways prior to data analysis or data mining. It includes operators for cleaning, discretization, numeration, scaling, attribute selection, missing values, outliers, statistics, visualization, balancing, sampling, row selection, and several other tasks. Data access from text files, relational databases, and Excel workbooks. Handling of large volumes of data (since data sets are not stored in the computer memory, with the exception of Excel workbooks and result sets of some databases where database drivers do not support data streaming). Stand alone tool, independent of any other tools. User friendly graphical user interface. Operator chaining to create sequences of preprocessing transformations (operator tree). Creating of model tree for test/execution data. -
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Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes. With SageMaker Data Wrangler, you can simplify the process of data preparation and feature engineering, and complete each step of the data preparation workflow (including data selection, cleansing, exploration, visualization, and processing at scale) from a single visual interface. You can use SQL to select the data you want from a wide variety of data sources and import it quickly. Next, you can use the Data Quality and Insights report to automatically verify data quality and detect anomalies, such as duplicate rows and target leakage. SageMaker Data Wrangler contains over 300 built-in data transformations so you can quickly transform data without writing any code. Once you have completed your data preparation workflow, you can scale it to your full datasets using SageMaker data processing jobs; train, tune, and deploy models.
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Synthesized
Synthesized
Power up your AI and data projects with the most valuable data At Synthesized, we unlock data's full potential by automating all stages of data provisioning and data preparation with a cutting-edge AI. We protect from privacy and compliance hurdles by virtue of the data being synthesized through the platform. Software for preparing and provisioning of accurate synthetic data to build better models at scale. Businesses solve the problem of data sharing with Synthesized. 40% of companies investing in AI cannot report business gains. Stay ahead of your competitors and help data scientists, product and marketing teams focus on uncovering critical insight with our simple-to-use platform for data preparation, sanitization and quality assessment. Testing data-driven applications is difficult without representative datasets and this leads to issues when services go live. -
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Drive more successful analytics, data migration, and master data management (MDM) initiatives with the SAP Agile Data Preparation application. Quickly transform your data into actionable, easily consumable information and simplify how you access and discover the shape of data to become far more productive and agile than you ever dreamed. The Usage Metric for the Cloud Service is Users. Users are individuals who prepare data sets, manage and monitor data sets, or execute data stewardship functions on data sets using the Cloud Service. With each subscription, Customer must order an annual foundation subscription, which is available in blocks of 64 GB of memory per year, up to a maximum of 512 GB of memory per year.
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Upsolver
Upsolver
Upsolver makes it incredibly simple to build a governed data lake and to manage, integrate and prepare streaming data for analysis. Define pipelines using only SQL on auto-generated schema-on-read. Easy visual IDE to accelerate building pipelines. Add Upserts and Deletes to data lake tables. Blend streaming and large-scale batch data. Automated schema evolution and reprocessing from previous state. Automatic orchestration of pipelines (no DAGs). Fully-managed execution at scale. Strong consistency guarantee over object storage. Near-zero maintenance overhead for analytics-ready data. Built-in hygiene for data lake tables including columnar formats, partitioning, compaction and vacuuming. 100,000 events per second (billions daily) at low cost. Continuous lock-free compaction to avoid “small files” problem. Parquet-based tables for fast queries. -
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Today’s always-on economy is generating data at ever-increasing rates. You know it’s essential to be data-driven and use that data to react and innovate quickly so you can outpace your competition. What if you could simplify data preparation and data provisioning? What if you could more easily perform database analysis and share data insights with data analysts across teams? What if you could do all this and realize a time savings of up to 40%? Used in conjunction with Toad® Data Point, Toad Intelligence Central is a cost-effective, server–based application that transfers power back to your business. Improve collaboration among Toad users through secure, governed access to SQL scripts, project artifacts, provisioned data and automation workflows. Easily abstract structured and unstructured data sources through advanced data connectivity to create refreshable datasets for use by any Toad user.
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Lyftrondata
Lyftrondata
Whether you want to build a governed delta lake, data warehouse, or simply want to migrate from your traditional database to a modern cloud data warehouse, do it all with Lyftrondata. Simply create and manage all of your data workloads on one platform by automatically building your pipeline and warehouse. Analyze it instantly with ANSI SQL, BI/ML tools, and share it without worrying about writing any custom code. Boost the productivity of your data professionals and shorten your time to value. Define, categorize, and find all data sets in one place. Share these data sets with other experts with zero codings and drive data-driven insights. This data sharing ability is perfect for companies that want to store their data once, share it with other experts, and use it multiple times, now and in the future. Define dataset, apply SQL transformations or simply migrate your SQL data processing logic to any cloud data warehouse. -
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Delman
Delman
We are a company located in Indonesia, specialized in data management. As a company we are providing a product and a consulting service. Delman is a portmanteau of “Data Excavation Learning and Management,” and is dedicated to providing data science solutions focused on data preparation. Delman aspires to accelerate digital transformation by integrating and warehouses a gazillion data sources, in much more efficient ways. The company has provided its services to a wide range of industry verticals, with a client base that includes enterprises, conglomerates, as well as the Indonesian government. Delman’s team boasts a strong background in technical and operational skills, carving out a niche space in Indonesia’s deep tech landscape. We believe that we can implement international best practices to build the most sophisticated yet efficient tools available. We at Delman believe that combining talents and experiences are a good match to deliver top-notch solutions. -
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datuum.ai
Datuum
AI-powered data integration tool that helps streamline the process of customer data onboarding. It allows for easy and fast automated data integration from various sources without coding, reducing preparation time to just a few minutes. With Datuum, organizations can efficiently extract, ingest, transform, migrate, and establish a single source of truth for their data, while integrating it into their existing data storage. Datuum is a no-code product and can reduce up to 80% of the time spent on data-related tasks, freeing up time for organizations to focus on generating insights and improving the customer experience. With over 40 years of experience in data management and operations, we at Datuum have incorporated our expertise into the core of our product, addressing the key challenges faced by data engineers and managers and ensuring that the platform is user-friendly, even for non-technical specialists. -
44
Weights & Biases
Weights & Biases
Experiment tracking, hyperparameter optimization, model and dataset versioning. Track, compare, and visualize ML experiments with 5 lines of code. Add a few lines to your script, and each time you train a new version of your model, you'll see a new experiment stream live to your dashboard. Optimize models with our massively scalable hyperparameter search tool. Sweeps are lightweight, fast to set up, and plug in to your existing infrastructure for running models. Save every detail of your end-to-end machine learning pipeline — data preparation, data versioning, training, and evaluation. It's never been easier to share project updates. Explain how your model works, show graphs of how model versions improved, discuss bugs, and demonstrate progress towards milestones. Use this central platform to reliably track all your organization's machine learning models, from experimentation to production. -
45
Conversionomics
Conversionomics
Set up all the automated connections you want, no per connection charges. Set up all the automated connections you want, no per-connection charges. Set up and scale your cloud data warehouse and processing operations – no tech expertise required. Improvise and ask the hard questions of your data – you’ve prepared it all with Conversionomics. It’s your data and you can do what you want with it – really. Conversionomics writes complex SQL for you to combine source data, lookups, and table relationships. Use preset Joins and common SQL or write your own SQL to customize your query and automate any action you could possibly want. Conversionomics is an efficient data aggregation tool that offers a simple user interface that makes it easy to quickly build data API sources. From those sources, you’ll be able to create impressive and interactive dashboards and reports using our templates or your favorite data visualization tools.Starting Price: $250 per month -
46
MyDataModels TADA
MyDataModels
Deploy best-in-class predictive analytics models TADA by MyDataModels helps professionals use their Small Data to enhance their business with a light, easy-to-set-up tool. TADA provides a predictive modeling solution leading to fast and usable results. Shift from days to a few hours into building ad hoc effective models with our 40% reduced time automated data preparation. Get outcomes from your data without programming or machine learning skills. Optimize your time with explainable and understandable models made of easy-to-read formulas. Turn your data into insights in a snap on any platform and create effective automated models. TADA removes the complexity of building predictive models by automating the generative machine learning process – data in, model out. Build and run machine learning models on any devices and platforms through our powerful web-based pre-processing features.Starting Price: $5347.46 per year -
47
K2View
K2View
At K2View, we believe that every enterprise should be able to leverage its data to become as disruptive and agile as the best companies in its industry. We make this possible through our patented Data Product Platform, which creates and manages a complete and compliant dataset for every business entity – on demand, and in real time. The dataset is always in sync with its underlying sources, adapts to changes in the source structures, and is instantly accessible to any authorized data consumer. Data Product Platform fuels many operational use cases, including customer 360, data masking and tokenization, test data management, data migration, legacy application modernization, data pipelining and more – to deliver business outcomes in less than half the time, and at half the cost, of any other alternative. The platform inherently supports modern data architectures – data mesh, data fabric, and data hub – and deploys in cloud, on-premise, or hybrid environments. -
48
Datameer
Datameer
Datameer revolutionizes data transformation with a low-code approach, trusted by top global enterprises. Craft, transform, and publish data seamlessly with no code and SQL, simplifying complex data engineering tasks. Empower your data teams to make informed decisions confidently while saving costs and ensuring responsible self-service analytics. Speed up your analytics workflow by transforming datasets to answer ad-hoc questions and support operational dashboards. Empower everyone on your team with our SQL or Drag-and-Drop to transform your data in an intuitive and collaborative workspace. And best of all, everything happens in Snowflake. Datameer is designed and optimized for Snowflake to reduce data movement and increase platform adoption. Some of the problems Datameer solves: - Analytics is not accessible - Drowning in backlog - Long development -
49
Tamr
Tamr
Tamr’s next-generation data mastering platform integrates machine learning with human feedback to break down data silos and continuously clean and deliver accurate data across your business. Tamr works with leading organizations around the world to solve their toughest data challenges. Tackle problems like duplicate records and errors to create a complete view of your data – from customers to product to suppliers. Next-generation data mastering integrates machine learning with human feedback to deliver clean data to drive business decisions. Feed clean data to analytics tools and operational systems, with 80% less effort than traditional approaches. From Customer 360 to reference data management, Tamr helps financial firms stay data-driven and accelerate business outcomes. Tamr helps the public sector meet mission requirements sooner through reduced manual workflows for data entity resolution. -
50
HyperSense
Subex
HyperSense platform is an augmented analytics, cloud-native, and SaaS-based platform that helps enterprises make faster, better decisions by leveraging Artificial Intelligence (AI) across the data value chain. It easily aggregates data from disparate sources, turns data into insights by building, interpreting, and tuning AI models, and shares their findings across the organization. HyperSense is a one-stop solution that helps telecom enterprises accelerate business decision-making, leveraging self-serve AI. It offers a no-code, easy-to-use, quick-to-set-up environment, empowering business users, domain experts, and data scientists to build and operate AI models across the organization.