Best Data Management Software in India - Page 100

Compare the Top Data Management Software in India as of June 2026 - Page 100

  • 1
    Sutherland Extract
    Sutherland Extract is an AI-powered OCR solution that learns from exceptions and becomes more intelligent over time. Our powerful input to output data extraction platform is truly cognitive and addresses the operational challenges of document-based workflows. It integrates effortlessly with robotic process automation platforms and other applications in your business operation. Businesses thrive on data when it's available, relevant, and actionable. With standard Optical Character Recognition (OCR) solutions limiting digitization outcomes, our AI-powered data extraction platform can seamlessly integrate with your existing applications. Traditional OCR systems require rules and templates for every document layout, making them heavily human-dependent and time-consuming. Sutherland Extract’s deep learning technology works by understanding the structure of documents, enabling higher Straight-Through Processing (STP) through intelligent data extraction and cognitive automation.
  • 2
    Vectice

    Vectice

    Vectice

    Enabling all enterprise’s AI/ML initiatives to result in consistent and positive impact. Data scientists deserve a solution that makes all their experiments reproducible, every asset discoverable and simplifies knowledge transfer. Managers deserve a dedicated data science solution. to secure knowledge, automate reporting and simplify reviews and processes. Vectice is on a mission to revolutionize the way data science teams work and collaborate. The goal is to ensure consistent and positive AI/ML impact for all organizations. Vectice is bringing the first automated knowledge solution that is both data science aware, actionable and compatible with the tools data scientists use. Vectice auto-captures all the assets that AI/ML teams create such as datasets, code, notebooks, models or runs. Then it auto-generates documentation from business requirements to production deployments.
  • 3
    MSIGHTS

    MSIGHTS

    MSIGHTS

    While every enterprise experiences data challenges, we can help you maximize the value of your marketing data. We work as an extension of your marketing team and extended partners to make MarTech work better by integrating people, processes and platforms. When all three of those are in place, you can experience true data-driven decision power. Built from the ground up, the MSIGHTS platform is a suite of applications and integrated services that ensure your data is enterprise and analytics-ready. Take control and enjoy greater transparency while maximizing the value of your marketing data. Our solution packages can be leveraged individually to address specific challenges or combined to realize the full power of MSIGHTS across the marketing and data operations value chain. From implementation through ongoing services, each solution comes with our data expertise and collaborative customer support team.
  • 4
    Coalesce

    Coalesce

    Coalesce.io

    Building and managing a fully documented data project takes a lot of time and manual coding. Not anymore. When we say we can help you transform data more efficiently, we can prove it. Column-aware architecture enables reusable data patterns and change management at scale. Bring visibility to change management and impact analysis for safer and more predictable data ops. Coalesce provides curated packages with best-practice templates to automatically generate native-SQL for Snowflake™. Have a unique need? No worries, templates are fully customizable. Navigating your data pipeline is easy in Coalesce. Each screen and button is designed to provide access to everything you need. Your data team has more control over every project, from comparing code side-by-side to instantly seeing project and audit history. Table-level and column-level lineage is automatically provided and always up-to-date.
  • 5
    Hologres

    Hologres

    Alibaba Cloud

    Hologres is a cloud-native Hybrid Serving & Analytical Processing (HSAP) system that is seamlessly integrated with the big data ecosystem. You can use Hologres to analyze and process PB-scale data with high concurrency and low latency. With Hologres, you can use your business intelligence (BI) tools to analyze data in multiple dimensions and explore your business in real-time. Hologres eliminates the disadvantages of traditional real-time data warehousing solutions, such as data silos and data redundancy. It meets your requirements for data migration and real-time analysis of large volumes of data. Responds to queries on PB-scale data at sub-second speeds. This response speed allows you to analyze data in multiple dimensions and explore your business in real-time. Supports highly concurrent writes and queries at a speed of up to 100 million transactions per second (TPS). Data can be queried immediately after it is written.
  • 6
    Alibaba Cloud Data Lake Formation
    A data lake is a centralized repository used for big data and AI computing. It allows you to store structured and unstructured data at any scale. Data Lake Formation (DLF) is a key component of the cloud-native data lake framework. DLF provides an easy way to build a cloud-native data lake. It seamlessly integrates with a variety of compute engines and allows you to manage the metadata in data lakes in a centralized manner and control enterprise-class permissions. Systematically collects structured, semi-structured, and unstructured data and supports massive data storage. Uses an architecture that separates computing from storage. You can plan resources on demand at low costs. This improves data processing efficiency to meet the rapidly changing business requirements. DLF can automatically discover and collect metadata from multiple engines and manage the metadata in a centralized manner to solve the data silo issues.
  • 7
    Alibaba Cloud DataHub
    DataHub supports various SDKs and APIs and provides multiple third-party plug-ins such as Flume and Logstash. You can import data to DataHub in an efficient manner. The DataConnector module can synchronize imported data to downstream storage and analysis systems in real time, such as MaxCompute, OSS, and Tablestore. You can import heterogeneous data that is generated by applications, websites, IoT devices, or databases to DataHub in real time. You can manage the data in a unified manner by using DataHub. You can also deliver the data to downstream systems such as analysis systems and archiving systems. This way, you can build a data streaming pipeline and extract more data value.
  • 8
    metaphactory

    metaphactory

    metaphacts

    metaphactory transforms your data into consumable, contextual & actionable knowledge and drives continuous decision intelligence. Out-of-the-box, intuitive interfaces for searching, browsing & exploring your Knowledge Graph. Low-code approach to building custom interfaces that enable business-user interaction with the Knowledge Graph. Start small, iterate often & add new use cases, new data and new users on the fly. Agile knowledge management & low-code platform for building applications.
  • 9
    Amazon Comprehend Medical
    Amazon Comprehend Medical is a HIPAA-eligible natural language processing (NLP) service that uses machine learning to extract health data from medical text–no machine learning experience is required. Much of health data today is in free-form medical text like doctors’ notes, clinical trial reports, and patient health records. Manually extracting the data is a time consuming process, while automated rule-based attempts to extract the data don’t capture the full story as they fail to take context into account. As a result, the data remains unusable in large-scale analytics needed to advance the healthcare and life sciences industry and improve patient outcomes and create efficiencies.
  • 10
    BioVinci

    BioVinci

    BioVinci

    BioVinci automatically runs state-of-the-art methods and recommends the best one to visualize your high-dimensional data. Explore high-dimensional data using machine learning algorithms: dimensionality reduction and feature selection. Convert massive datasets into speaking graphics without coding. Visualize research results using various graph types and customization options. The software allows scientists, without programming experiences, to quickly apply state-of-the-art machine learning techniques on their data and elegantly visualize the results to gain insights, otherwise, difficult to obtain. We specially focus on the design of BioVinci 2.0 to make it friendly even for first-time users. While having a wide range of plot configurations to serve different needs of users, we hope to bring the aesthetics, simplicity, interactive, publication-ready, and information revealing in every plot.
  • 11
    Gravy Analytics

    Gravy Analytics

    Gravy Analytics

    Gravy Analytics processes billions of pseudonymous, mobile location signals every day from millions of mobile devices to understand where people go and why. Billions of daily location signals from mobile devices. The largest events database gives context to millions of places and POIs. Consumer visits built on 100% deterministic location data. Verified and cleansed location datasets via APIs or batch delivery options. Real-world consumer insights for foot traffic, attribution, and competitive analytics. Location-based audiences to drive data-driven advertising campaigns. We want to help companies meet their biggest business challenges head-on with quality location data. To do this, brands and advertisers need context to understand why consumers go where they do. The local events and activities we choose to engage in delivering that context, providing insight into our lifestyles, interests and affinities.
  • 12
    Great Expectations

    Great Expectations

    Great Expectations

    Great Expectations is a shared, open standard for data quality. It helps data teams eliminate pipeline debt, through data testing, documentation, and profiling. We recommend deploying within a virtual environment. If you’re not familiar with pip, virtual environments, notebooks, or git, you may want to check out the Supporting. There are many amazing companies using great expectations these days. Check out some of our case studies with companies that we've worked closely with to understand how they are using great expectations in their data stack. Great expectations cloud is a fully managed SaaS offering. We're taking on new private alpha members for great expectations cloud, a fully managed SaaS offering. Alpha members get first access to new features and input to the roadmap.
  • 13
    Databook

    Databook

    Databook

    Our comprehensive platform delivers the insight and tools to help enterprise go-to-market teams hit peak performance, deal after deal. Databook gives sales professionals access to data-driven insights on everything from opportunity intelligence to propensity to buy. Focus account-based sales and marketing to accelerate the sales cycle. Armed with the right data, go-to-market teams gain a unique understanding of why companies are ready to buy, which business outcomes they’re seeking, and when deals are most likely to close. Consistently meet, or exceed, quotas. With just a few clicks, Databook helps sales reps craft sophisticated deliverables that speak directly to key buyers with the power to influence high-dollar deals. Efficiently fill the pipeline and drive more wins with ease. Now the whole go-to-market team can repeatedly create and win large enterprise deals. Featuring an intuitive, secure, cloud-based application and a host of productivity-enhancing modules.
  • 14
    Kyrah

    Kyrah

    Kyrah

    Kyrah facilitates enterprise data management across your cloud data estate, data exploration, storage assets grouping, security policy enforcement and permissions management. It makes all changes transparent, secure and GDPR-compliant with its easily configurable and fully automated change request mechanism. And last, but not least, it offers full suitability of all events through activity log. Is seamless self-service data provisioning with shopping cart style checkout. Is a single pane of glass for your enterprise data estate via storage map with data usage heatmap. Enables faster time to market by unifying people, process and data provisioning in a single platform and user interface. Provides a single pane of glass for an organization to understand its data landscape including features such as data use a heatmap, data sensitivity and more. Enables enforcement of data compliance to ensure organizations comply with data sovereignty requirements, thus avoiding any potential fines.
  • 15
    Abstracta
    Data abstraction on any data source at your fingertips without any need for deployment. Everything is managed in the cloud with no presence at the data source. Abstracta helps in unifying all data sources. It simplifies and streamlines interaction with data sources. Restify data as a service with our proprietary service builder feature. Empower business users to perform on-the-fly data analysis with self-service capabilities. Accelerate data security initiatives much faster than you would have imagined. Our innovative profiling tags simplify data authorization. Fortify data with row & column-level access control policies. Empower businesses to protect & monitor data access patterns. Let data governance initiatives leap with our innovative flagship product Abstracta™. Protect business from internal & external security threats. Ekahaa believes in scale with simplicity for 10X growth. With its fluid UI design, any data can be exposed as a service in 2 minutes.
  • 16
    Fosfor Decision Cloud
    Everything you need to make better business decisions. The Fosfor Decision Cloud unifies the modern data ecosystem to deliver the long-sought promise of AI: enhanced business outcomes. The Fosfor Decision Cloud unifies the components of your data stack into a modern decision stack, built to amplify business outcomes. Fosfor works seamlessly with its partners to create the modern decision stack, which delivers unprecedented value from your data investments.
  • 17
    Oracle Enterprise Metadata Management
    Oracle Enterprise Metadata Management (OEMM) is a comprehensive metadata management platform. OEMM can harvest and catalog metadata from virtually any metadata provider, including relational, Hadoop, ETL, BI, data modeling, and many more. OEMM however is not just a metadata repository, OEMM allows for interactive searching and browsing of the metadata as well as providing data lineage, impact analysis, semantic definition and semantic usage analysis for any metadata asset within the catalog. OEMM's advanced algorithms stitch together metadata from each of the providers providing the complete path of data from source to report or vice versa. OEMM supports virtually any metadata provider including: Data modeling tools, databases, CASE tools, Hadoop, ETL engines, Warehouses, BI, EAI environments, as well as many more.
  • 18
    SAP Information Steward
    SAP Information Steward software supports data profiling and monitoring and information policy management. As the information governance layer of SAP Business Technology Platform, it can help you anticipate risk and drive better business outcomes. Combine data profiling, data lineage, and metadata management to gain continuous insight into the integrity of your enterprise data model. Gain a better understanding of data quality across your data management landscape,while accessing and analyzing metrics with intuitive dashboards and scorecards. Improve enterprise information management initiatives by supporting analysts, data stewards, and IT experts with consistent validation rules and guidelines. Discover, assess, define, monitor, and improve the quality of your enterprise data assets with data profiling and metadata management – all with one solution. Forecast the potential savings of improved data quality by running what-if analyses.
  • 19
    Data360 Analyze
    The most successful businesses have common denominators: maximizing organizational efficiencies, mitigating risk, growing revenue and innovating – fast. Data360 Analyze is the fastest way to aggregate and organize large amounts of data to uncover valuable insights across business units. Easily access, prep and analyze quality data through its intuitive browser-based architecture. A solid understanding of your organization’s data landscape can shed light on disparate data sources, missing and outlying values and anomalies in data logic. Accelerate the discovery, validation, transformation and blending of data from across your organization to deliver accurate, relevant and trusted information for analysis. Visual data inspection and lineage allow you to trace and access data at any step within the data flow analytic process to collaborate with other stakeholders and build confidence and trust in the data and insights.
  • 20
    Accurity

    Accurity

    Accurity

    With Accurity, the all-in-one data intelligence platform, you get a company-wide understanding and complete trust in your data — speed up business-critical decision making, increase your revenue, reduce your costs, and ensure your company’s data compliance. Equipped with timely, relevant, and accurate data, you can successfully satisfy and engage with your customers, elevating your brand awareness and driving sales conversions. With everything accessible from a single interface, automated quality checks, and data quality issue workflows, you can lower personnel and infrastructure costs, and spend time utilizing your data rather than just managing it. Discover real value in your data by revealing and removing inefficiencies, improving your decision-making processes, and finding valuable product and customer information to boost your company’s innovation.
  • 21
    Oracle Enterprise Data Management
    Adapt and respond to change faster and more effectively by managing your master data, whether migrating an application to the cloud; managing the effects of mergers and acquisitions; or reconciling metadata differences across business functions and applications. Import lists or hierarchies from contributing applications. Save time without having to validate data on entry, even with dirty data. Improve the quality of data within an application or business domain by validating separate perspectives, called viewpoints. Migrate and map enterprise data elements and ongoing changes across public, private, and hybrid cloud environments from Oracle or third parties. Create new or change existing enterprise data, relationships, and attributes with requests in an easy-to-understand shopping cart interface.
  • 22
    Global IDs

    Global IDs

    Global IDs

    Find out some of the best platform features provided by Global IDs, which brings in a set of Enterprise Data Solutions like data governance, data compliance, cloud migration, rationalization, privacy, analytics & much more! Global IDs EDA Platform feature comprises a set of core functions: automated discovery and profiling, data classification, data lineage, data quality and more – that render data transparent, trustworthy, and explainable across the ecosystem. Global IDs EDA platform architecture is designed for integration from the ground up with all platform functionality accessible via APIs. Global IDs EDA platform automates data management for enterprises of any size or data ecosystem.
  • 23
    OpenText File Intelligence
    Most organizations don’t know where and what information is contained in their documents, including sensitive and regulated information, such as PII and PCI. Much of the content resides outside of managed systems, relying on manual enforcement of governance policies and procedures by individuals, increasing legal and regulatory risk. With increased regulations, litigation and internal audits, understanding what content exists, where it resides and what actions are necessary is critical. OpenText™ File Intelligence is a file analysis application that is quickly deployed, easy to use and provides enterprises with robust functionality to catalog unmanaged sources (i.e., file shares, email, etc.), identify and analyze content files and support decision making to ensure the appropriate management of critical and valuable content.
  • 24
    Diwo

    Diwo

    Diwo

    Make faster, smarter business decisions with AI‑powered insight and actionable recommendations. Learn how Decision Intelligence (DI) is transforming analytics by enabling in-the-moment awareness of your business and immediate decision making. Diwo automates the process of analyzing, correlating and synthesizing your data to provide timely, relevant insights. It leverages AI and contextual intelligence to continuously monitor your data environment and deliver actionable recommendations. Diwo automatically surfaces opportunities and quantifies their potential impact to your business. More importantly, Diwo then provides recommendations that you validate and put into action. Diwo uses AI and contextual intelligence to automatically identify opportunities, detail the trade-offs, apply your business context and deliver the best advice to maximize results.
  • 25
    SAS Visual Analytics
    An intuitive, low-code visual interface enables you to create and deploy custom, natural language chatbots. Get text responses, access data, reports and visualizations, and even apply analytics and AI through a natural language, conversational interface. Configure bots within the SAS environment for easier access to insights, or connect to external services to roll them out to the world. Now getting insights from data is as easy as sending a message​. Quickly spot important relationships in your data using suggestions and clearly identified related measures. Use machine learning and natural language explanations to find, visualize and narrate stories and insights that are easy to understand and explain. Find out why something happened, examine all options and uncover opportunities hidden deep in your data. Automatically highlight key relationships, outliers, clusters and more to reveal vital insights that inspire action.
  • 26
    Crisp Data Platform
    At Crisp, we leverage the power of the cloud to connect and analyze all of your data sources in real-time, providing you with the most meaningful insights and trends for your business. Taking your data and leveraging it with thousands of brands, distributors, and retailers is the Crisp way. We provide next-generation industry insights and trends; setting a new standard for retailer/distributor/brand collaboration. Your data is visualized in a dashboard that is easy-to-read, easy-to-share and always up-to-date. You have lots of data. But what do you do with all of it? And how can you harness it into insights you can use? Crisp gives you the data you need, with the ability to leverage it for a true competitive advantage. You can analyze and organize multiple sources of data, and then collect and transform it into unified, actionable insights for a supply chain you can rely on.
  • 27
    PeerLogix

    PeerLogix

    PeerLogix

    PeerLogix (OTC: LOGX) is the recognized leader in the global OTT data-as-a-service space. The company tracks viewership data of more than 50,000 premium TV shows and movies across more than 180 million households as streamed from virtually every open-source OTT network, globally. This data can be leveraged to create actionable insights for advertisers, content creators, OTT platforms and strategic investors. PeerLogix observes, catalogs, and analyzes a massive amount of raw OTT viewership data. We then collate and package these data sets into unique products, both pre-constructed and customized, creating actionable value across an evolving and expanding set of use cases. Media buyers and data platforms utilize Peerlogix’s OTT viewership data to target advertising campaigns directly to households streaming OTT TV shows and movies, based on real-time viewership behaviors.
  • 28
    ActiveNav

    ActiveNav

    ActiveNav

    Identify sensitive data, optimize storage, and comply with privacy regulations. Take control of your sensitive data using a hybrid-cloud platform that allows you to quickly discover and map data across diverse data repositories. ActiveNav’s Inventory provides the insights you need to support all your data initiatives. By isolating and visually depicting data at scale, you can manage risky, stale data and make informed content decisions. Our platform tackles the hardest challenges behind discovering and mapping unstructured data, enabling you to gain value from your data like never before. Personal, sensitive data is hiding everywhere in your organization: on-premises, in the cloud, on file shares and servers, and throughout numerous other repositories. The platform is uniquely built to handle the challenges of mapping unstructured data repositories, enabling risk mitigation and compliance with evolving privacy laws and regulations.
  • 29
    Metaflow

    Metaflow

    Netflix

    Successful data science projects are delivered by data scientists who can build, improve, and operate end-to-end workflows independently, focusing more on data science, less on engineering. Use Metaflow with your favorite data science libraries, such as Tensorflow or SciKit Learn, and write your models in idiomatic Python code with not much new to learn. Metaflow also supports the R language. Metaflow helps you design your workflow, run it at scale, and deploy it to production. It versions and tracks all your experiments and data automatically. It allows you to inspect results easily in notebooks. Metaflow comes packaged with the tutorials, so getting started is easy. You can make copies of all the tutorials in your current directory using the metaflow command line interface.
  • 30
    Sudo Platform

    Sudo Platform

    Anonyome Labs

    Sudo Platform is an API-first, developer-focused ecosystem that delivers the tools necessary to empower our partners to quickly and completely deliver to end-user consumers the necessary capabilities to protect and control their personal information while navigating the digital world. It provides a modular, quick to implement, and powerful collection of the most important digital privacy and cyber safety tools. including safe and private browsing, password management, VPN, virtual cards, encrypted and open communications, and decentralized identity. This developer-focused platform includes: Developer-focused documentation API-first ecosystem SDK source code via GitHub Sample applications for test-to-deploy of various capabilities Vendor-brandable (white-label) apps for quick go-to-market deployments.
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