Best Data Preparation Software for MySQL

Find and compare the best Data Preparation software for MySQL in 2024

Use the comparison tool below to compare the top Data Preparation software for MySQL on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Omniscope Evo Reviews
    Visokio creates Omniscope Evo, a complete and extensible BI tool for data processing, analysis, and reporting. Smart experience on any device. You can start with any data, any format, load, edit, combine, transform it while visually exploring it. You can extract insights through ML algorithms and automate your data workflows. Omniscope is a powerful BI tool that can be used on any device. It also has a responsive UX and is mobile-friendly. You can also augment data workflows using Python / R scripts or enhance reports with any JS visualisation. Omniscope is the complete solution for data managers, scientists, analysts, and data managers. It can be used to visualize data, analyze data, and visualise it.
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    JMP Statistical Software Reviews

    JMP Statistical Software

    JMP Statistical Software

    $1500.00/year/user
    1 Rating
    JMP, data analysis software Mac and Windows, combines powerful statistics with interactive visualization. It is simple to import and process data. Drag-and-drop interface, dynamically linked graphics, libraries of advanced analytics functionality, scripting language, and ways to share findings with others allow users to dig deeper into their data with greater ease. JMP was originally developed in 1980 to capture the new value of GUI for personal computers. JMP continues to add cutting-edge statistical methods to the software's functionality with every release. John Sall, the organization's founder, is still Chief Architect.
  • 3
    Telegraf Reviews
    Telegraf is an open-source server agent that helps you collect metrics from your sensors, stacks, and systems. Telegraf is a plugin-driven agent that collects and sends metrics and events from systems, databases, and IoT sensors. Telegraf is written in Go. It compiles to a single binary and has no external dependencies. It also requires very little memory. Telegraf can gather metrics from a wide variety of inputs and then write them into a wide range of outputs. It can be easily extended by being plugin-driven for both the collection and output data. It is written in Go and can be run on any system without external dependencies. It is easy to collect metrics from your endpoints with the 300+ plugins that have been created by data experts in the community.
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    Zoho DataPrep Reviews

    Zoho DataPrep

    Zoho

    $40 per month
    Zoho DataPrep is an advanced self-service data preparation software that helps organizations prepare data by allowing import from a variety of sources, automatically identifying errors, discovering data patterns, transforming and enriching data and scheduling export all without the need for coding.
  • 5
    Datameer Reviews
    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.
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    PI.EXCHANGE Reviews

    PI.EXCHANGE

    PI.EXCHANGE

    $39 per month
    Connect your data to the Engine by uploading a file, or connecting to a database. You can then analyze your data with visualizations or prepare it for machine learning modeling using the data wrangling recipes. Build machine learning models using algorithms such as clustering, classification, or regression. All without writing any code. Discover insights into your data using the feature importance tools, prediction explanations, and what-ifs. Our connectors allow you to make predictions and integrate them into your existing systems.
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    bipp Reviews

    bipp

    bipp analytics

    $10 per user per month
    Bipp's cloud BI platform is powered by the bippLang Data modeling language. It was created for SQL and data analysts right from the beginning. It saves time for you and your team so that your business can make faster, better-informed decisions. BippLang data modeling language simplifies SQL queries by creating complex data models with custom columns, dynamic sub-querying, and reusable data. Git-based version control allows analysts to collaborate; all data models are automatically backed by the system. An always-free version allows you to access a powerful BI platform and professional support at no additional cost. In-database analytics makes it easy to access the data in a single system. This speeds up access and produces real-time results. Auto-SQL generator uses joins in the data model to determine which tables to join, and generate dynamic sub-queries based upon context. Data models that are single source of truth ensure that everyone in the organization can base business decisions on the same data.
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    Conversionomics Reviews

    Conversionomics

    Conversionomics

    $250 per month
    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.
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    Sweephy Reviews

    Sweephy

    Sweephy

    €59 per month
    No-code data cleaning, preparation, and ML platform. Specialized development for business cases and on-premise setup for privacy. Sweephy's modules are free to you. Machine learning-powered, no-code tools. Simply enter the data and keywords you are looking for. The model can generate a report based upon keywords. Our model can not only check the words in the text but also classifies semantically and grammatically. Let's find similar records in your database. Sweephy Dedupu API allows you to create a unified user database using different data sources. Sweephy API allows you to easily create object detection model by finetuning existing models. Send us your use cases and we'll create the right model for you. You can use this method to classify documents, pdfs and invoices. Simply upload the image dataset. We can either remove the noise from the image or create a model that is more tailored to your business case.
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    Astro Reviews
    Astronomer is the driving force behind Apache Airflow, the de facto standard for expressing data flows as code. Airflow is downloaded more than 4 million times each month and is used by hundreds of thousands of teams around the world. For data teams looking to increase the availability of trusted data, Astronomer provides Astro, the modern data orchestration platform, powered by Airflow. Astro enables data engineers, data scientists, and data analysts to build, run, and observe pipelines-as-code. Founded in 2018, Astronomer is a global remote-first company with hubs in Cincinnati, New York, San Francisco, and San Jose. Customers in more than 35 countries trust Astronomer as their partner for data orchestration.
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    Alteryx Reviews
    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.
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    TiMi Reviews
    TIMi allows companies to use their corporate data to generate new ideas and make crucial business decisions more quickly and easily than ever before. The heart of TIMi’s Integrated Platform. TIMi's ultimate real time AUTO-ML engine. 3D VR segmentation, visualization. Unlimited self service business Intelligence. TIMi is a faster solution than any other to perform the 2 most critical analytical tasks: data cleaning, feature engineering, creation KPIs, and predictive modeling. TIMi is an ethical solution. There is no lock-in, just excellence. We guarantee you work in complete serenity, without unexpected costs. TIMi's unique software infrastructure allows for maximum flexibility during the exploration phase, and high reliability during the production phase. TIMi allows your analysts to test even the most crazy ideas.
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    Oracle Big Data Preparation Reviews
    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.
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    Lyftrondata Reviews
    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.
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    BDB Platform Reviews
    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.
  • 16
    IBM Databand Reviews
    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.
  • 17
    Kylo Reviews
    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.
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    Microsoft Power Query Reviews
    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.
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    Kepler Reviews
    Kepler's Automated Data Science workflows make it easy to eliminate the need for programming and machine learning. You can quickly join and get data-driven insights that are unique to your company and your data. Our SaaS-based model allows you to receive continuous updates and additional Workflows from our AI and ML teams. With a platform that grows with you business, scale AI and accelerate time to value using the skills and team already within your company. Advanced AI and machine learning capabilities can solve complex business problems without the need to have any technical ML knowledge. You can leverage state-of the-art, end to end automation, a large library of AI algorithms, as well as the ability to quickly deploy machine-learning models. Organizations use Kepler to automate and augment critical business processes in order to increase productivity and agility.
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    Invenis Reviews
    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.
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