Best Data Management Software - Page 63

Compare the Top Data Management Software as of May 2026 - Page 63

  • 1
    Impetus

    Impetus

    Impetus

    Impetus Technologies enables the Intelligent Enterprise™ with innovative data engineering, cloud, and enterprise AI services. Recognized as an AWS Advanced Consulting Partner, Elite Databricks Consulting Partner, Data & AI Solutions Microsoft Partner, and Elite Snowflake Services Partner, Impetus offers a comprehensive suite of cutting-edge IT services and solutions to drive innovation and transformation for businesses across various industries. With a proven track record with Fortune 500 clients, Impetus drives growth, enhances efficiency, and ensures a competitive edge through continuous innovation and flawless, zero-defect delivery.
  • 2
    SQL Manager

    SQL Manager

    EMS Software

    SQL Manager for PostgreSQL provides a set of easy-to-use visual editors for any database or server objects. You can create complex queries visually or use editor tool with code completion, code folding, formatting and many other useful features. You can adjust editor view to meet your requirements. Query results can be easily exported to any format. Manipulate data with filters, grouping, sorting and sub-levels, view it as JSON, Image or XML and export it into any of popular formats, including XLSX, CSV, TXT, XML, SQL and more. Advanced import from MS Excel, MS Access, DBF, XML, ODF, TXT, CSV, etc. with selecting the method of adding data to the already existing tables, as well as processing or replacing of inserted data. Data export into a variety of popular formats: MS Excel, MS Word, MS Access, HTML, PDF, TXT, CSV, DBF, XML, ODF and more with flexible setting for the result data view.
  • 3
    Mindee

    Mindee

    Mindee

    Mindee is the first fully horizontal and developer centric document understanding platform. We help developers and product teams worldwide build the most intuitive and efficient user experiences when it comes to document processing. You will be able to : - Build magical UX using our 1-second-response-time synchronous API - Differenciate your product leveraging the latest computer vision deep learning models - Scale everywhere. We are fully language agnostic and do not depend on templates - Save your users time and hassle by freeing them from manual data entry - Easily integrate in no time within your roadmap thanks to our client libraries in all main languages and our clean documentation -Sleep tight knowing everything happens on a scalable and secure infrastructure, fully GDPR compliant -Extend the fun leveraging everything from our open-source software toolbox -Trust the bill. No setup fee, no platform fee, no maintenance fee.
  • 4
    NLMatics

    NLMatics

    NLMatics

    Easiest way to extract data points from unstructured text. Simultaneously search through research reports, prospectus, customer requests or feedback to extract, track and analyze meaningful, custom defined data points. Access 100+ unique data points for your investment & risk management strategy. Search and create custom data sets from EDGAR and other public or private sources. Streamline your deal underwriting process. Streamline your capital markets and structured finance legal flow. Instantly extract 100+ data points to categorize, compare and collaborate with your clients. Deconstruct unstructured text in PubMed and clinical trial data into diseases, genes, proteins, symptoms & more. Get all your research in a single place. Bring in research from any source into your workspaces using our Chrome plug-in. Make digital PDFs to machine readable. JSON and HTML output with detailed section hierarchy, multi-level tables, lists, header, footer and watermarks removed.
  • 5
    Keesing Technologies

    Keesing Technologies

    Keesing Technologies

    Keesing Technologies offers cutting-edge identity verification that allows you to establish an individual’s true identity from anywhere in the world and protect your business from fraud. Our unique technologies build on our long-standing expertise, extensive ID knowledge and the world’s most comprehensive ID document database. In short, we offer identity verification you can trust. Extensive ID document verification combined with biometric identity proofing. Real-time verification results based on high accuracy ratings in data comparison and biometric checks. Support from certified and highly trained ID document and anti-fraud experts. Keesing offers identity and ID document verification solutions that are accurate and fast, providing you with real-time results and the assurance of someone’s identity. We help meet your business objectives with reliable and secure identity verification at any place, at any time.
  • 6
    DistillerSR

    DistillerSR

    DistillerSR Inc.

    Automate every stage of your systematic literature review to securely produce evidence-based research faster and more accurately. DistillerSR automates the management of literature collection, triage, and assessment using AI and intelligent workflows. DistillerSR makes any project, large or small, simpler to manage and configure to produce transparent, audit ready, and compliant literature reviews. Search more efficiently with DistillerSR’s integrations with data providers, such as PubMed, automatic review updates, and AI-powered duplicate detection and removal. Automatically import newly published references, always keeping literature reviews up-to-date. Detect and remove duplicate citations preventing skew and bias caused by studies included more than once. Reduce your screening burden by 60% with DistillerSR. Start working on later stages of your review sooner and more accurately by finding relevant references faster and addressing conflicts more easily.
    Starting Price: $215 per user per month
  • 7
    NetApp AIPod
    NetApp AIPod is a comprehensive AI infrastructure solution designed to streamline the deployment and management of artificial intelligence workloads. By integrating NVIDIA-validated turnkey solutions, such as NVIDIA DGX BasePOD™ and NetApp's cloud-connected all-flash storage, AIPod consolidates analytics, training, and inference capabilities into a single, scalable system. This convergence enables organizations to rapidly implement AI workflows, from model training to fine-tuning and inference, while ensuring robust data management and security. With preconfigured infrastructure optimized for AI tasks, NetApp AIPod reduces complexity, accelerates time to insights, and supports seamless integration into hybrid cloud environments.
  • 8
    LeadAngel

    LeadAngel

    LeadAngel

    LeadAngel smart-matches incoming leads with existing accounts and distributes leads among your sales team using the most powerful & flexible lead routing and lead matching algorithm available. We as a team helps your business to drive sales with the automated lead management. The application offers data standardization, fuzzy matching, lead segmentation, Contact Routing and Account Routing and lead to account matching in a user-friendly interface with smart drag or drop options. The solutions are built with API's to help you leverage everything our platform has to offer. Eliminating duplicate leads, merge with existing contacts, and removing redundant accounts with LeadAngel’s powerful data cleanup engine and track the entire procedure with LeadAngel's reporting where each and every step is visible. Further optimize your sales funnel with tools such as auto conversion of leads into contacts if a matching account is found.
  • 9
    Oracle SQL Developer Data Modeler
    Oracle SQL Developer Data Modeler is a free graphical tool that enhances productivity and simplifies data modeling tasks. Using Oracle SQL Developer Data Modeler users can create, browse and edit, logical, relational, physical, multi-dimensional, and data type models. The Data Modeler provides forward and reverse engineering capabilities and supports collaborative development through integrated source code control. The Data Modeler can be used in both traditional and in Cloud environments. Oracle SQL Developer Data Modeler is one of the database tools in the Oracle Database Tools group. It is an independent, standalone product with a full spectrum of data and database modeling tools and utilities. There is a general FAQ and other supporting collateral on the Data Modeler home page. This document is to provide some guidance to the pricing-related questions arising in the community.
  • 10
    DTM Data Modeler

    DTM Data Modeler

    DTM Data Modeler

    DTM Data Modeler is a CASE tool for database developers that supports both forward and reverse engineering. It is an easy-to-use tool allowing you to work both with logical and physical data models in the form of an entity-relationship diagram. The product is intended for database architects and developers and works with data sources via the ODBC interface, which means compatibility with all modern DBMS. Along with basic model properties (sets of entities and relationships between them), the program allows you to create indexes and triggers on the physical level corresponding to the tables of the database that is modeled. The foreign key migration feature makes schema development easier and more visual and also reduces the probability of errors in the integrity of the model. The program can create database schema objects directly in the database as well as create SQL scripts corresponding to the model and taking into account the settings specified by the user.
    Starting Price: $75 per year
  • 11
    Toad Data Modeler
    Visualize database structures and better understand existing databases and relationships. Create high-quality logical and physical data models. Reverse engineer existing database structures to view them in a diagram. Generate detailed HTML, RTF or PDF reports. Create quality database structures or make changes to existing models automatically, and provide documentation on multiple platforms. Build complex logical and physical entity-relationship models, and easily reverse and forward engineer databases. Connect multiple databases natively and simultaneously, including Oracle, SAP, MySQL, SQL Server, PostgreSQL, DB2, Ingres, and Microsoft Access. Synchronize models with existing databases using Change Script Generations and Update Model features. Easily convert data structures from one database platform to another to support business migration initiatives. Easily generate detailed hyperlinked reports on existing database structures in multiple formats like HTML and PDF.
  • 12
    Meteor Modeler
    Define Sequelize models, fields and associations visually. Enhance diagrams by adding notes, comments, pictures and hyperlinks. Share pixel-perfect diagrams in printable format. A diagram can give you a clear model of your data structure and help you recognize errors. It's like a blueprint to your house. You know what you are building, how to connect the pieces and you have the necessary documentation. It allows all your team members or clients to understand the relations among collections and documents in an effective manner. Draw database structures and generate code. Avoid typos, make changes quickly.
    Starting Price: $79 one-time payment
  • 13
    StarUML

    StarUML

    StarUML

    Compatible with UML 2.X standard metamodel and diagrams: class, object, use case, component, deployment, composite structure, sequence, communication, statechart, activity, timing, interaction overflow, information flow and profile diagram. Support modeling with SysML diagrams: requirement, block definition, internal block, and parametric diagram. Supports Retina (High-DPI) Display. All diagrams, texts and icons are razor sharp and can be exported to High-DPI images (PNG and JPEG). Easily discover and install third-party extensions. Many extensions are open source and hosted on Github. Supports many shorthands in Quick Edit to create elements and relationships at once such as sub-classes, supporting interfaces, etc.
    Starting Price: $99 per user
  • 14
    WinPure MDM
    WinPure™ MDM is a master data management solution that aligns with your business to achieve a single view of your data with functions and features to help you manage your data. The features are ala-carte from all of the clean & match enterprise edition, repurposed specifically for simple web based data prep, and MDM operations. Data in dozens of different formats, dozens of simple and powerful ways to clean, standardize and to transform data. Industry leading data matching and error-tolerant technologies. Simple and configurable survivorship technology. General benefits include lower cost and faster time to market. Simple to use, minimal training and minimal implementation. Better business outcomes, faster MDM or systems deployment. Faster and more accurate batch loads, simple and accessible data prep tools. Flexible and effective interconnectivity with other internal and external database and systems via API. Faster time to synergies for M&A.
  • 15
    SiaSearch

    SiaSearch

    SiaSearch

    We want ML engineers to worry less about data engineering and focus on what they love, building better models in less time. Our product is a powerful framework that makes it 10x easier and faster for developers to explore, understand and share visual data at scale. Automatically create custom interval attributes using pre-trained extractors or any other model. Visualize data and analyze model performance using custom attributes combined with all common KPIs. Use custom attributes to query, find rare edge cases and curate new training data across your whole data lake. Easily save, edit, version, comment and share frames, sequences or objects with colleagues or 3rd parties. SiaSearch, a data management platform that automatically extracts frame-level, contextual metadata and utilizes it for fast data exploration, selection and evaluation. Automating these tasks with metadata can more than double engineering productivity and remove the bottleneck to building industrial AI.
  • 16
    PDF-Mapper

    PDF-Mapper

    ExxTainer

    Automates PDF order & invoice data entry to ERP systems. Perfect for organizations that pursue document processing excellence. Instead of manually typing in orders or invoices, with PDF-Mapper data entry happens all-automatic and lightning-fast – quite magically. PDF-Mapper is a tool designed to be 100 % accurate – reliably capturing and processing all the required data for every PDF document. With its automatic validation, PDF-Mapper alerts you if there are errors in inbound orders & invoices – before feeding the data to your system. Businesses that use PDF-Mapper pursuit excellence in their order & invoice process and push their productivity to the limit. PDF-Mapper makes integration to every recurring customer and supplier simple by optimizing your PDF data entry process.Your data is kept in your hands as an on-premise solution, PDF-Mapper is installed locally and securely at your site.
    Starting Price: €699 per year
  • 17
    TimescaleDB

    TimescaleDB

    Tiger Data

    TimescaleDB is the leading time-series database built on PostgreSQL, designed to handle massive volumes of real-time data efficiently. It enables organizations to store, analyze, and query time-series data — such as IoT sensor data, financial transactions, or event logs — using standard SQL. With hypertables, TimescaleDB automatically partitions data by time and ID for fast ingestion and predictable query performance. Its compression engine reduces storage costs by up to 95%, while continuous aggregates make real-time dashboards instantly responsive. Fully compatible with PostgreSQL, it integrates seamlessly with existing tools and applications. TimescaleDB combines the simplicity of Postgres with the scalability and speed of a specialized analytical system.
  • 18
    Hyper Anna

    Hyper Anna

    Hyper Anna

    AI-powered data insights meets interactive storytelling in real-time. Not another manual, clunky, outdated dashboard or Q&A interface. Anna works like a human, automating analysis and the discovery of insights, Anna saves you time and gives you the power to find breakthrough moments hidden deep in your data. Hyper Anna’s AI-powered insights synthesize millions of data points in seconds to give your team a heads up on important changes as they happen, what has shifted, when, why this occurred and by how much. Hyper Anna automates the work of writing SQL, creating visualizations, writing headlines and even setting up alerts and scheduled reports. Hyper Anna gives your team clear insights and a shared canvas to communicate and resolve issues, and unlock new opportunities and potential. Hyper Anna integrates with any ODBC compatible database. With minimal data prep, securely connect to your database or upload flat files.
  • 19
    Cortex

    Cortex

    The Cortex Authors

    Cortex is an open source project that adds horizontal scalability. While Prometheus can scale up to 1 million samples/sec on a single machine, with Cortex horizontal scalability is practically limitless. In a constantly changing environment, you need alternative approaches to monitoring individual VMs or servers. Prometheus' service-discovery driven pull-based metrics system was designed for the dynamic nature of microservices. It lets you easily monitor your whole environment no matter how many moving parts. Instrument your application to create custom metrics using standard Prometheus client libraries, or take advantage of the extensive collection of Prometheus Exporters that collect data from existing applications like MySQL, Redis, Java, ElasticSearch and many more.
  • 20
    Warp 10
    Warp 10 is a modular open source platform that collects, stores, and analyzes data from sensors. Shaped for the IoT with a flexible data model, Warp 10 provides a unique and powerful framework to simplify your processes from data collection to analysis and visualization, with the support of geolocated data in its core model (called Geo Time Series). Warp 10 is both a time series database and a powerful analytics environment, allowing you to make: statistics, extraction of characteristics for training models, filtering and cleaning of data, detection of patterns and anomalies, synchronization or even forecasts. The analysis environment can be implemented within a large ecosystem of software components such as Spark, Kafka Streams, Hadoop, Jupyter, Zeppelin and many more. It can also access data stored in many existing solutions, relational or NoSQL databases, search engines and S3 type object storage system.
  • 21
    Azure Time Series Insights
    Azure Time Series Insights Gen2 is an open and scalable end-to-end IoT analytics service featuring best-in-class user experiences and rich APIs to integrate its powerful capabilities into your existing workflow or application. You can use it to collect, process, store, query and visualize data at Internet of Things (IoT) scale--data that's highly contextualized and optimized for time series. Azure Time Series Insights Gen2 is designed for ad hoc data exploration and operational analysis allowing you to uncover hidden trends, spotting anomalies, and conduct root-cause analysis. It's an open and flexible offering that meets the broad needs of industrial IoT deployments.
    Starting Price: $36.208 per unit per month
  • 22
    HyperSense
    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.
  • 23
    Apache Traffic Server

    Apache Traffic Server

    Apache Software Foundation

    Apache Traffic Server™ software is a fast, scalable and extensible HTTP/1.1 and HTTP/2 compliant caching proxy server. Formerly a commercial product, Yahoo! donated it to the Apache Foundation, and currently used by several major CDNs and content owners. Improve your response time, while reducing server load and bandwidth needs by caching and reusing frequently-requested web pages, images, and web service calls. Scales well on modern SMP hardware, handling 10s of thousands of requests per second. Easily add keep-alive, filter or anonymize content requests, or add load balancing by adding a proxy layer. APIs to write your own plug-ins to do anything from modifying HTTP headers to handling ESI requests to writing your own cache algorithm. Handling over 400TB a day at Yahoo! both as forward and reverse proxies, Apache Traffic Server is battle hardened.
  • 24
    WANdisco

    WANdisco

    WANdisco

    Since 2010 we have seen Hadoop become an essential part of the data management landscape. Over the decade the majority of organizations have adopted Hadoop to build out their data lake infrastructure. However, while Hadoop offered a cost-effective way to store petabytes of data across a distributed environment, it introduced many complexities. The systems required specialized IT skills and the on-premises environments lacked the flexibility to easily scale the systems up and down as usage demands changed. The management complexity and flexibility challenges associated with on-premises Hadoop environments are much more optimally addressed in the cloud. To minimize the risks and costs associated with these data modernization efforts, many companies have selected to automate their cloud data migration with WANdisco. LiveData Migrator is a fully self-service solution requiring no WANdisco expertise or services.
  • 25
    Promethium

    Promethium

    Promethium

    Promethium helps data and analytics teams work smarter so they can stay ahead of growing data volumes and business needs. Simply connecting to a data warehouse or data lake to get access to raw data is not enough. Datasets require a lot of hard work from data teams! Data Teams aren't growing as fast as data volumes or business demand for data. Promethium helps overloaded data teams work smarter so they can deliver faster. Rely less on ETL, with access data on demand where it lives. Moving less data saves time and money. With Promethium one person can do in minutes what typically takes a team months using 6 or more tools. With a few clicks and without writing code, connect and catalog data sources and create and query cross-source datasets. Less custom code and ETL. Validate data is correct in real-time, not after months of work and ETL. Instantly share work so that it is reused, instead of recreated.
  • 26
    Miuros

    Miuros

    Miuros

    Miuros turns your data into actionable insights with AI-powered analytics, quality assurance and automation. For international & scaling customer service teams. You have a goldmine of customer service data, and we’ll help you mine it. Miuros’ Intelligence Suite empowers you to find quick answers to complex questions, build better customer experiences and supercharge efficiency. Flexible dashboards that allow managers to make fairer data-driven decisions autonomously. A quality assurance solution that puts an emphasis on giving agents the opportunity to grow and improve. An AI-based assistant for mature customer service teams that harnesses machine learning to automate repetitive tasks. Our customer service data suite integrates with Zendesk, Freshdesk, Salesforce Service Cloud, Help Scout and many more, to give you full visibility over your customer service operations. We’ll set up your customer service data suite for you, there's no need to involve your IT team.
    Starting Price: €20 per month
  • 27
    Oracle Cloud Infrastructure Data Flow
    Oracle Cloud Infrastructure (OCI) Data Flow is a fully managed Apache Spark service to perform processing tasks on extremely large data sets without infrastructure to deploy or manage. This enables rapid application delivery because developers can focus on app development, not infrastructure management. OCI Data Flow handles infrastructure provisioning, network setup, and teardown when Spark jobs are complete. Storage and security are also managed, which means less work is required for creating and managing Spark applications for big data analysis. With OCI Data Flow, there are no clusters to install, patch, or upgrade, which saves time and operational costs for projects. OCI Data Flow runs each Spark job in private dedicated resources, eliminating the need for upfront capacity planning. With OCI Data Flow, IT only needs to pay for the infrastructure resources that Spark jobs use while they are running.
    Starting Price: $0.0085 per GB per hour
  • 28
    Oracle MySQL HeatWave
    HeatWave is a massively parallel, high performance, in-memory query accelerator for Oracle MySQL Database Service that accelerates MySQL performance by orders of magnitude for analytics and mixed workloads. HeatWave is 6.5X faster than Amazon Redshift at half the cost, 7X faster than Snowflake at one-fifth the cost, and 1400X faster than Amazon Aurora at half the cost. MySQL Database Service with HeatWave is the only service that enables customers to run OLTP and OLAP workloads directly from their MySQL database. This eliminates the need for complex, time-consuming, and expensive data movement and integration with a separate analytics database. The new MySQL Autopilot uses advanced machine-learning techniques to automate HeatWave, which make it easier to use and further improves performance and scalability. HeatWave is optimized for Oracle Cloud Infrastructure (OCI).
    Starting Price: $0.3536 per hour
  • 29
    Oracle Cloud Infrastructure Streaming
    Streaming service is a real-time, serverless, Apache Kafka-compatible event streaming platform for developers and data scientists. Streaming is tightly integrated with Oracle Cloud Infrastructure (OCI), Database, GoldenGate, and Integration Cloud. The service also provides out-of-the-box integrations for hundreds of third-party products across categories such as DevOps, databases, big data, and SaaS applications. Data engineers can easily set up and operate big data pipelines. Oracle handles all infrastructure and platform management for event streaming, including provisioning, scaling, and security patching. With the help of consumer groups, Streaming can provide state management for thousands of consumers. This helps developers easily build applications at scale.
  • 30
    Azure Data Lake Analytics
    Easily develop and run massively parallel data transformation and processing programs in U-SQL, R, Python, and .NET over petabytes of data. With no infrastructure to manage, you can process data on demand, scale instantly, and only pay per job. Process big data jobs in seconds with Azure Data Lake Analytics. There is no infrastructure to worry about because there are no servers, virtual machines, or clusters to wait for, manage, or tune. Instantly scale the processing power, measured in Azure Data Lake Analytics Units (AU), from one to thousands for each job. You only pay for the processing that you use per job. Act on all of your data with optimized data virtualization of your relational sources such as Azure SQL Database and Azure Synapse Analytics. Your queries are automatically optimized by moving processing close to the source data without data movement, which maximizes performance and minimizes latency.
    Starting Price: $2 per hour
MongoDB Logo MongoDB