Best Data Management Software for Cloud - Page 85
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Compare the Top Data Management Software for Cloud as of June 2026 - Page 85
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TruEra
TruEra
A machine learning monitoring solution that helps you easily oversee and troubleshoot high model volumes. With explainability accuracy that’s unparalleled and unique analyses that are not available anywhere else, data scientists avoid false alarms and dead ends, addressing critical problems quickly and effectively. Your machine learning models stay optimized, so that your business is optimized. TruEra’s solution is based on an explainability engine that, due to years of dedicated research and development, is significantly more accurate than current tools. TruEra’s enterprise-class AI explainability technology is without peer. The core diagnostic engine is based on six years of research at Carnegie Mellon University and dramatically outperforms competitors. The platform quickly performs sophisticated sensitivity analysis that enables data scientists, business users, and risk and compliance teams to understand exactly how and why a model makes predictions. -
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Gretel
Gretel.ai
Privacy engineering tools delivered to you as APIs. Synthesize and transform data in minutes. Build trust with your users and community. Gretel’s APIs grant immediate access to creating anonymized or synthetic datasets so you can work safely with data while preserving privacy. Keeping the pace with development velocity requires faster access to data. Gretel is accelerating access to data with data privacy tools that bypass blockers and fuel Machine Learning and AI applications. Keep your data contained by running Gretel containers in your own environment or scale out workloads to the cloud in seconds with Gretel Cloud runners. Using our cloud GPUs makes it radically more effortless for developers to train and generate synthetic data. Scale workloads automatically with no infrastructure to set up and manage. Invite team members to collaborate on cloud projects and share data across teams. -
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Privacy Analytics
Privacy Analytics
Privacy Analytics provides data anonymization services and software for organizations in the consumer and healthcare industries. We enable you to use your sensitive data assets safely and responsibly for innovation that benefits everyone. With Privacy Analytics you can safely de-identify health data to the highest standard, while preserving its utility. Regulatory deadlines are getting more stringent. Timelines to fulfill data requests are getting tighter. Pressure to uphold your company’s reputation has never been more apparent. The climate around data privacy continues to intensify. Everyone from consumers to regulators are holding organizations accountable. With so many stakeholders demanding more transparency, the pressure for drug makers to safely disclose clinical data and documents has never been higher. And as pressure rises, so too does the bar for privacy. You need solutions that both maximize transparency and protect the privacy of trial participants. -
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SparkBeyond
SparkBeyond
SparkBeyond Discovery autonomously analyzes complex data, finding answers to business problems where you wouldn't think to look. Seamlessly integrate external data into your search space for a better grip on the real influencers of outcomes, and get a holistic perspective of your business reality. Move analytics projects beyond the experimental by interacting with data and insights in natural language, allowing a deeper alliance between analytics and business stakeholders. Future-proof the hard-won benefits of the analytics process by keeping an evergreen cycle of inputs and outputs. The world shifts, and so should your insights. From time-series to geo-spatial data, auto-connect most data in their raw, granular form, without writing a single line of code. See the bigger picture by integrating our curated database of world knowledge (maps, Wikipedia, demographics) or network of 3rd-party data providers. -
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teX.ai
teX.ai
Given the sea of content, your business generates, identifies, and processes only text that is of interest to you, quickly, accurately, and efficiently. Regardless of your business needs, operational agility, faster decisions, obtaining customer insights or more, teXai, a Forbes recognized text analytics company, helps you take advantage of text to propel your business forward. teXai's powerful customizable preprocessor engine identifies and extracts objects of your interest in the nooks and crannies of your organization’s emails, text messages, tables, website, social media, archives, or any documents of your choice. Its intelligent customizable linguistic application identifies text genre, groups, similar content and creates concise summaries so that your business teams can obtain the right context from the right text. The easy-to-use text analytics software extracts the essence of your text and simplifies the decision-making process. -
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KLDiscovery
KLDiscovery
KLDiscovery uses a proprietary processing application that is fast, robust and propels your processing to new levels. And because we can simultaneously deploy multiple instances of our application, we can process massive amounts of data in a fraction of the time required with other applications. We commonly process several terabytes of data in a single week. KLDiscovery can significantly reduce the overall data size by utilizing our integrated deduplication engine. This powerful tool can sweep away redundant documents by comparing custom hash values, calculated from the metadata contained within any number of up to fourteen separate fields. Because all deduplication activity gets captured within comprehensive reporting features built-in to our application, this defensible process is always tracked, recoverable and reproducible. The ability to process large volumes of data is only half the story. -
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Creactives
Creactives
Creactives data assistants support requisitioners that are procurement’s internal clients by understanding their purchasing needs as described in their own natural language. Matcher and MG Prompt facilitate easy requisitioner discovery of the item(s) they need within existing master data or catalogs. If there are no matches, they properly categorize the new requisition. This helps procurement optimize processes and PO flows by minimizing incorrect categorizations that would otherwise lead to wasted time and money. Optimization of the purchasing process is impossible without a detailed understanding of current consumption patterns. TSV enables complex firms to analyze their consumption model automatically using a powerful spend analysis tool. Creactives software introduces ‘human-like reasoning to help you better understand your material master data. Creatives’ Product Master Data Suite is perfectly designed to manage material master data. -
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Matrixian
Matrixian Group
Transforming data into reliable insights for smarter real estate decisions. As specialists in model-based valuations we have developed an Automated Valuation Model (AVM) that operates globally. It generates accurate and immediate property valuations in more than 40 countries. This enables you to establish home values, evaluate collateral, analyze portfolios, validate appraisal reports and assess investment opportunities worldwide. Our flexibility in data delivery ensures that you always receive the data in the format that works best for you. With our very own Matrixian platform, APIs, batch files, (PDF) reports, and stunning visualizations via our mapping system, we can deliver data in real-time or on a scheduled basis. This allows you to choose the data delivery experience that meets your unique needs. -
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Beacon Platform
Beacon Platform
Beacon Core is an end-to-end platform designed to supercharge developer productivity. Beacon Core includes enterprise-scale elastic cloud infrastructure, a modern data warehouse, collaborative developer tools, automation services, and a robust and controlled production environment. Once satisfied with the new feature, the developer releases the feature to production with Beacon’s controls workflow. All source code is categorized, with different controls attached to different categories, so that new features that do not affect risk can be released intraday. Beacon’s controls workflow was forged in global investment banks to foster innovation within a highly regulated and tightly controlled environment. We help you customize Beacon’s workflow to balance the opportunities and risks between innovation and controls. Automate manual tasks with user-friendly batch job scheduler, so that you can focus on adding value to the business. -
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QlueDashboard
Qlue
QlueDashboard takes the pain away from leaders having to analyze multiple platforms and dashboards to understand their businesses and/or organizations. QlueDashboard gives leaders a single platform to make sense of all the information in their organization, enabling them to find data correlations, conduct seamless integrations, manage issues, and monitor the mobile workforce. QlueWork enables reports using photo, video, voice note, text, and pdf documents. Users can also point out specific problems in the image using photo annotation. Planning and reviewing will take more efforts as your company grows. By utilizing QlueDashboard, you can monitor your company from the highest point of view. Integrated with a CCTV that is powered by QlueVision, Qlue empowers you to automatically detect, count, and classify objects, people, and vehicles which will be streamed in real-time. Easier communication is why live chat is being featured. -
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M3
M3
M3 is the obvious choice for Cloud Native companies looking to scale up their Prometheus based monitoring systems. M3 can be used as Prometheus Remote Storage and has 100% PromQL compatibility. M3 was originally developed at Uber in order to provide visibility into Uber’s business operations, microservices and infrastructure. With its ability to horizontally scale with ease, M3 provides a single centralized storage solution for all monitoring use cases. Three replicas of data with quorum writes and reads for consistency. Proven in production to ingest more than one billion datapoints per second while serving more than two billion datapoint reads per second. Open sourced under the Apache 2 license with a highly active community. -
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A data design solution that enables you to discover, model, relate, standardize and integrate diverse and distributed data assets throughout the enterprise. IBM InfoSphere® Data Architect is a collaborative enterprise data modeling and design solution that can simplify and accelerate integration design for business intelligence, master data management and service-oriented architecture initiatives. InfoSphere Data Architect enables you to work with users at every step of the data design process, from project management to application design to data design. The tool helps to align processes, services, applications and data architectures. Simple warehouse design, dimensional modeling and change management tasks help reduce development time and give you the tools to design and manage warehouses from an enterprise logical model. Time stamped, column-organized tables offer a better understanding of data assets to help increase efficiency and reduce time to market.
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Graviti
Graviti
Unstructured data is the future of AI. Unlock this future now and build an ML/AI pipeline that scales all of your unstructured data in one place. Use better data to deliver better models, only with Graviti. Get to know the data platform that enables AI developers with management, query, and version control features that are designed for unstructured data. Quality data is no longer a pricey dream. Manage your metadata, annotation, and predictions in one place. Customize filters and visualize filtering results to get you straight to the data that best match your needs. Utilize a Git-like structure to manage data versions and collaborate with your teammates. Role-based access control and visualization of version differences allows your team to work together safely and flexibly. Automate your data pipeline with Graviti’s built-in marketplace and workflow builder. Level-up to fast model iterations with no more grinding. -
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Above Data
Above Data
The investment landscape has changed. Each day humans produce 2.5 quintillion bytes of data. From credit cards to satellites, the quantity and granularity of information can improve forecasting and real-time decision-making for those able to harness it. That’s where we come in. Above Data procures and packages unique data assets in a flexible, intuitive and no-code environment allowing you to get quick answers before the competition. The investment landscape has changed. Each day humans produce 2.5 quintillion bytes of data. From credit cards to satellites, the quantity and granularity of information can improve forecasting and real-time decision-making for those able to harness it. That’s where we come in. Above Data procures and packages unique data assets in a flexible, intuitive and no-code environment allowing you to get quick answers before the competition. -
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Visible Systems
Visible Systems
Looking for searchable solutions in a pile of unstructured data is like looking for a needle in a haystack. Our technicians are trained to spot hidden trends and patterns in that tangled web. Through this process, we will gather, catalogue, annotate, and combine it into an understandable and user-friendly format to streamline critical decisions. This allows us to create results that unlock actionable insights for business growth. At Visible Systems, we understand that traditional data analysis tools are only designed to analyze data that is in a specific format. However, most data is formless since it is sourced from different locations. Using data discovery, we can aggregate and format it from various sources to streamline analysis. This results in data that is in the right format, which can ensure timely deliverables. We realize that data discovery is a continuous process and old data is as valuable as fresh data. -
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PySpark
PySpark
PySpark is an interface for Apache Spark in Python. It not only allows you to write Spark applications using Python APIs, but also provides the PySpark shell for interactively analyzing your data in a distributed environment. PySpark supports most of Spark’s features such as Spark SQL, DataFrame, Streaming, MLlib (Machine Learning) and Spark Core. Spark SQL is a Spark module for structured data processing. It provides a programming abstraction called DataFrame and can also act as distributed SQL query engine. Running on top of Spark, the streaming feature in Apache Spark enables powerful interactive and analytical applications across both streaming and historical data, while inheriting Spark’s ease of use and fault tolerance characteristics. -
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Apache Arrow
The Apache Software Foundation
Apache Arrow defines a language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware like CPUs and GPUs. The Arrow memory format also supports zero-copy reads for lightning-fast data access without serialization overhead. Arrow's libraries implement the format and provide building blocks for a range of use cases, including high performance analytics. Many popular projects use Arrow to ship columnar data efficiently or as the basis for analytic engines. Apache Arrow is software created by and for the developer community. We are dedicated to open, kind communication and consensus decisionmaking. Our committers come from a range of organizations and backgrounds, and we welcome all to participate with us. -
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pandas
pandas
pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language. Tools for reading and writing data between in-memory data structures and different formats: CSV and text files, Microsoft Excel, SQL databases, and the fast HDF5 format. Intelligent data alignment and integrated handling of missing data: gain automatic label-based alignment in computations and easily manipulate messy data into an orderly form.Aggregating or transforming data with a powerful group by engine allowing split-apply-combine operations on data sets. Time series-functionality: date range generation and frequency conversion, moving window statistics, date shifting and lagging. Even create domain-specific time offsets and join time series without losing data. -
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MagicDraw
Dassault Systèmes
MagicDraw supports the UML 2 metamodel, the latest XMI standard for data storage and the most popular programming languages for implementation. Unlike other UML modeling and architecture environments, MagicDraw makes it easy for you to deploy a Software Development Life Cycle (SDLC) environment that best suits the needs of your business. Our approach to standards and our Open API makes it easy for you to integrate with applications that work together, best supporting the needs of your business. We integrate with many leading products: IDEs, requirements, testing, estimation, MDD, database, and others. MagicDraw provides independence from any specific software development process, conforming nicely to your company process; allowing centralization of business and process modeling, requirements capture and design. MagicDraw is not tied to any one phase of your project. -
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Eclipse Papyrus
Eclipse Foundation
To address any specific domain, every part of Eclipse Papyrus may be customized: UML profile, model explorer, diagram notation and style, properties views, palette and creation menus, and much more. Eclipse Papyrus enables model-based techniques: model-based simulation, model-based formal testing, safety analysis, performance/trade-offs analysis, architecture exploration. Eclipse Papyrus is an industrial-grade open source Model-Based Engineering tool. Eclipse Papyrus has notably been used successfuly in industrial projects and is the base platform for several industrial modeling tools. Eclipse Papyrus provides also a complete support to SysML in order to enable model-based system engineering. All the modeling features of Eclipse Papyrus are designed to be customizable and to maximize reuse. -
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Iris.ai
Iris.ai
Iris.ai is a world-leading and award-winning AI engine for scientific text understanding. It is a comprehensive platform for all research-related knowledge processing needs. Our Researcher Workspace solution provides smart search and a wide range of smart filters, reading list analysis, auto-generated summaries, autonomous extraction, and systematising of data. Iris.ai allows humans to focus on value creation by saving 75% of a researcher’s time, doing specialised, interdisciplinary field analysis to an above human level of accuracy. Its algorithms for text similarity, tabular data extraction, domain-specific entity representation learning, and entity disambiguation and linking measure up to the best in the world. Its machine builds a comprehensive knowledge graph containing all entities and their linkages to allow humans to learn from it, use it, and give feedback to the system. Applying these features to scientific and technical text is a complicated challenge few others can achieve. -
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Piiano
Piiano
Emerging privacy policies often conflict with the architectures of enterprise systems that were not designed with sensitive data protection in mind. Piiano pioneers data privacy engineering for the cloud, offering the industry’s first personal data protection and management platform to transform how enterprises build privacy-forward architecture and operationalize privacy practices. Piiano provides a pre-built, developer-friendly infrastructure to dramatically ease the adoption or acceleration of enterprise privacy engineering and help developers build privacy-by-design architecture. This engineering infrastructure safeguards sensitive customers’ data, preempts breaches, and helps enterprises comply with privacy regulations as they evolve. The Vault is a dedicated, protected database for centralizing sensitive information that developers can install into enterprise VPC (Virtual Private Cloud). This ensures that the vault–and everything in it–is only accessible to the enterprise. -
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SAP BW/4HANA
SAP
SAP BW/4HANA is a packaged data warehouse based on SAP HANA. As the on-premise data warehouse layer of SAP’s Business Technology Platform, it allows you to consolidate data across the enterprise to get a consistent, agreed-upon view of your data. Streamline processes and support innovations with a single source for real-time insights. Based on SAP HANA, our next-generation data warehouse solution can help you capitalize on the full value of all your data from SAP applications or third-party solutions, as well as unstructured, geospatial, or Hadoop-based. Transform data practices to gain the efficiency and agility to deploy live insights at scale, both on premise or in the cloud. Drive digitization across all lines of business with a Big Data warehouse, while leveraging digital business platform solutions from SAP. -
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Captain Data
Captain Data
Captain Data manages your most ambitious sales & marketing workflows by extracting, enriching and automating data from 30+ sources on the web. The automation platform that doesn't let your marketing, sales and operations teams down when you need to scale your most advanced sales & marketing workflows. Choose a single app for simple automation or pick multiple apps for more complex workflows. Choose from hundreds of automations. From simple automations to advanced workflows that include multiple applications, Captain Data got you covered. You’ll love Captain Data with its beautiful interface that allows even non-tech people to use it without any issue. Captain Data complies with application limits, whether it's the number of actions you can run on your social media account or API rate limiting. That way, your automations always work like a charm and you don’t have to worry about it again.Starting Price: $99 per month -
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Cauliflower
Cauliflower
Whether for a service or a product, whether a snapshot or monitoring over time - Cauliflower processes feedback and comments from various application areas. Using Artificial Intelligence (AI), Cauliflower identifies the most important topics, their relevance, evaluation and relationships. In-house developed machine learning models for the extraction of content and evaluation of sentiment. Intuitive dashboards with filter options and drill-downs. Use included variables for language, weight, ID, time or location. Define your own filter variables in the dropdown. Cauliflower translates the results into a uniform language if required. Define a company-wide language about customer feedback instead of reading it sporadically and quoting individual opinions. -
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Oracle Autonomous Data Warehouse is a cloud data warehouse service that eliminates all the complexities of operating a data warehouse, dw cloud, data warehouse center, securing data, and developing data-driven applications. It automates provisioning, configuring, securing, tuning, scaling, and backing up of the data warehouse. It includes tools for self-service data loading, data transformations, business models, automatic insights, and built-in converged database capabilities that enable simpler queries across multiple data types and machine learning analysis. It’s available in both the Oracle public cloud and customers' data centers with Oracle Cloud@Customer. Detailed analysis by industry expert DSC illustrates why Oracle Autonomous Data Warehouse is a better pick for the majority of global organizations. Learn about applications and tools that are compatible with Autonomous Data Warehouse.
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Apache Pinot
Apache Corporation
Pinot is designed to answer OLAP queries with low latency on immutable data. Pluggable indexing technologies - Sorted Index, Bitmap Index, Inverted Index. Joins are currently not supported, but this problem can be overcome by using Trino or PrestoDB for querying. SQL like language that supports selection, aggregation, filtering, group by, order by, distinct queries on data. Consist of of both offline and real-time table. Use real-time table only to cover segments for which offline data may not be available yet. Detect the right anomalies by customizing anomaly detect flow and notification flow. -
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Apache Hudi
Apache Corporation
Hudi is a rich platform to build streaming data lakes with incremental data pipelines on a self-managing database layer, while being optimized for lake engines and regular batch processing. Hudi maintains a timeline of all actions performed on the table at different instants of time that helps provide instantaneous views of the table, while also efficiently supporting retrieval of data in the order of arrival. A Hudi instant consists of the following components. Hudi provides efficient upserts, by mapping a given hoodie key consistently to a file id, via an indexing mechanism. This mapping between record key and file group/file id, never changes once the first version of a record has been written to a file. In short, the mapped file group contains all versions of a group of records. -
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DuckDB
DuckDB
Processing and storing tabular datasets, e.g. from CSV or Parquet files. Large result set transfer to client. Large client/server installations for centralized enterprise data warehousing. Writing to a single database from multiple concurrent processes. DuckDB is a relational database management system (RDBMS). That means it is a system for managing data stored in relations. A relation is essentially a mathematical term for a table. Each table is a named collection of rows. Each row of a given table has the same set of named columns, and each column is of a specific data type. Tables themselves are stored inside schemas, and a collection of schemas constitutes the entire database that you can access. -
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Typo
Typo
TYPO is a data quality solution that provides error correction at the point of entry into information systems. Unlike reactive data quality tools that attempt to resolve data errors after they are saved, Typo uses AI to proactively detect errors in real-time at the initial point of entry. This enables immediate correction of errors prior to storage and propagation into downstream systems and reports. Typo can be used on web applications, mobile apps, devices and data integration tools. Typo inspects data in motion as it enters your enterprise or at rest after storage. Typo provides comprehensive oversight of data origins and points of entry into information systems including devices, APIs and application users. When an error is identified, the user is notified and given the opportunity to correct the error. Typo uses machine learning algorithms to detect errors. Implementation and maintenance of data rules is not necessary.
