Best Data Management Software for Cloud - Page 97
View:
Compare the Top Data Management Software for Cloud as of June 2026 - Page 97
Sort By:
-
1
Aindo
Aindo
Accelerate time-consuming data processing steps, including structuring, labeling, and preprocessing. Manage your data in one central, easy-to-integrate platform. Increase data accessibility rapidly through privacy-protecting synthetic data and user-friendly exchange platforms. The Aindo synthetic data platform allows you to securely exchange data across departments, with external service providers, partners, and the artificial intelligence community. Explore new synergies through synthetic data exchange and collaboration. Acquire missing data openly and securely. Provide comfort and trust to your clients and stakeholders. The Aindo synthetic data platform removes data inaccuracies and implicit bias for fair and complete insights. Augment information to make databases robust to special events. Balance datasets that misrepresent true populations for a fair and accurate overall depiction. Fill in data gaps in a sound and exact manner. -
2
Estuary Flow
Estuary
Estuary Flow is a new kind of DataOps platform that empowers engineering teams to build real-time, data-intensive applications at scale with minimal friction. This platform unifies a team’s databases, pub/sub systems, and SaaS around their data, without requiring new investments in infrastructure or development.Starting Price: $200/month -
3
Pantomath
Pantomath
Organizations continuously strive to be more data-driven, building dashboards, analytics, and data pipelines across the modern data stack. Unfortunately, most organizations struggle with data reliability issues leading to poor business decisions and lack of trust in data as an organization, directly impacting their bottom line. Resolving complex data issues is a manual and time-consuming process involving multiple teams all relying on tribal knowledge to manually reverse engineer complex data pipelines across different platforms to identify root-cause and understand the impact. Pantomath is a data pipeline observability and traceability platform for automating data operations. It continuously monitors datasets and jobs across the enterprise data ecosystem providing context to complex data pipelines by creating automated cross-platform technical pipeline lineage. -
4
Source Medium
Source Medium
Source Medium’s advanced data infrastructure and reporting provides a single source of truth, facilitating decision-making amid expanding complexities. Our automated data movement technology extracts, stores, and moves data to your own desired destinations. Our proprietary data transformation process is specifically engineered for omnichannel businesses. It’s why our data is the most trusted in the industry. Our pre-built data models improve data reliability by streamlining data preparation, aggregation and enrichment. Our platform normalizes, aggregates and validates your omnichannel data. We’re able to reconcile disparities, test for missing entries in data, append crucial details to datasets and unify disparate reports from various channels. -
5
PartiQL
PartiQL
PartiQL's extensions to SQL are easy to understand, treat nested data as first class citizens and compose seamlessly with each other and SQL. This enables intuitive filtering, joining and aggregation on the combination of structured, semistructured and nested datasets. PartiQL enables unified query access across multiple data stores and data formats by separating the syntax and semantics of a query from the underlying format of the data or the data store that is being accessed. It enables users to interact with data with or without regular schema. PartiQL syntax, semantics, the embeddable reference interpreter, CLI, test framework, and tests are licensed under the Apache License, version 2.0, allowing you to freely use, copy, and distribute your changes under the terms of your choice. -
6
Grid
WorkOnGrid
Say goodbye to paper logs, cluttered spreadsheets, and inflexible tools, streamline your team's communications increase efficiency, and enable seamless data gathering from mobile or web applications or bring data from other software or even devices using integrations. Automate anything using data links, approval flows, notifications, and reminders. Ensure personalized app experiences and data compliance with teams and granular access management. Connect Grid to IoT devices via REST APIs, DB connectors, and a plethora of supported protocols such as MQTT & HTTP, among others. Ingest data from any source or device and massage, query, report, build workflows, and push it to dashboards within Grid or on other apps like SAP, Jira, PowerBI, or anywhere else on the web. -
7
Deasie
Deasie
You can't build good models with bad data. More than 80% of today’s data is unstructured (e.g., documents, reports, text, images). For language models, it is critical to understand what parts of this data are relevant, outdated, inconsistent, and safe to use. Failure to do so leads to unsafe and unreliable adoption of AI. -
8
Syntheticus
Syntheticus
Syntheticus® empowers data exchange and overcomes limitations in data access, scarcity, and bias - at scale. With our synthetic data platform, you generate high-quality and compliant data samples tailored to your business needs and analytics goals. With synthetic data, you easily tap into a wide range of high-quality sources that are not always available in the real world. By accessing high-quality, consistent data, you conduct more reliable research, leading to better products, services, and business decisions. With fast, reliable data sources at your fingertips, you accelerate product development cycles and improve time-to-market. Synthetic data is designed to be private and secure by default, protecting sensitive data and maintaining compliance with privacy laws and regulations. -
9
Everactive
Everactive
Due to our advances in ultra-low-power circuits and wireless communication, we are able to power always-on Eversensors exclusively from low levels of harvested energy from the surrounding environment, which creates the data foundation of our full-stack Industrial IoT solutions. Batteryless Eversensors are not only easier to install and can be deployed at a much larger scale than battery-powered devices, but also cost significantly less to operate; simultaneously, at the other end of our system, Evercloud automatically transforms a wealth of new data into high-value, actionable insights. Systems of self-sustaining sensors unlock the promise and scale of the Factory of the Future so that enterprises can maximize returns on Industrial IoT investments, instantly reducing costs, optimizing asset utilization, and improving sustainability throughout a range of now-connected environments. -
10
Hal9
Hal9
Get instant answers from your data with AI. An enterprise-ready ecosystem that makes data analytics accessible to everyone in your company. Whether you are in the data team or a business unit, regardless of your industry, Hal9 can help you leverage your company’s data and have the right input at the right moment. Get interactive and visual answers in the form of charts, dashboards, maps, and reports that will help you easily read the story behind the data. Easily save and share your findings with a link that your team can open and explore themselves. -
11
Expanso
Expanso
Expanso runs jobs exactly where your data resides, utilizing local computing, and minimizing data throughput. Using a peer-to-peer network of nodes, we reduce your dependence on latency and enhance your data governance capabilities. Your data flows can be adjusted at a very granular level. Expanso's container orchestration utilizes a peer-to-peer network, enabling distributed application deployments. By leveraging this network, your deployments ensure redundancy and fault tolerance. The distributed approach minimizes the risk of single points of failure, leading to a more reliable deployment with increased reliability. Expanso enables on-device computing, leading to significant cost savings. Running computations directly on edge devices can significantly reduce data transfer and cloud infrastructure expenses. Additionally, this reduces the instances where data leaves your premises, thus minimizing the number of regulatory events. -
12
SuperDuperDB
SuperDuperDB
Build and manage AI applications easily without needing to move your data to complex pipelines and specialized vector databases. Integrate AI and vector search directly with your database including real-time inference and model training. A single scalable deployment of all your AI models and APIs which is automatically kept up-to-date as new data is processed immediately. No need to introduce an additional database and duplicate your data to use vector search and build on top of it. SuperDuperDB enables vector search in your existing database. Integrate and combine models from Sklearn, PyTorch, and HuggingFace with AI APIs such as OpenAI to build even the most complex AI applications and workflows. Deploy all your AI models to automatically compute outputs (inference) in your datastore in a single environment with simple Python commands. -
13
Barracuda Data Inspector
Barracuda
See for yourself how Barracuda Data Inspector automatically scans and remediates your OneDrive for Business and SharePoint data for sensitive information and malicious files. SharePoint and OneDrive deployments can improperly store sensitive data, such as Social Security numbers, credit card information, network credentials, and more—putting your data at risk. With Barracuda Data Inspector, you see exactly what kind of data has been found, whether it has been shared internally or externally, and where it’s located. You can remediate that data – unshare it, quarantine it, or delete it entirely. Data Inspector also identifies sensitive information in images, including photos, screenshots, and document scans. You can further customize by creating your own data classifiers, and identify specific information types, such as employee or student IDs, project codenames, and other proprietary information. -
14
Verisys
Verisys
For three decades, Verisys has served some of the largest and most complex healthcare organizations in the United States, credentialing more than two million events annually. Our provider credentialing services get and keep you compliant. Credentialing and re-credentialing providers is a complex process for health plans, hospitals, and health systems. Physicians are licensed in multiple states and provide telehealth services across state lines. This requires license verification with each state board and compliance with that state’s unique regulations. Identity matching is complicated due to physicians having the same name, maiden names, alias names, nicknames, or abbreviated names. To get a complete view, each physician must be screened, and credentials verified against thousands of primary sources. We can help you do anything from a simple provider credential search to implementing a full end-to-end credentialing solution. -
15
Dexter
Digicust
Creating customs declarations has never been so easy. Simply upload invoices, packing lists, delivery notes, and other customs documents to Dexter. He will do the rest, while you can focus on more value-adding tasks. Dexter eliminates the shortage of skilled workers as well as manual data entry due to his customs know-how in creating customs declarations. Dexter is integrated with little to no effort from your side while saving you between 3-90 minutes per customs case from day one. Dexter takes over the process from raw customs documents to submission-ready customs declarations for authorities created with versatile precision. Process any kind of document you like, today's invoices, tomorrow's bills, from small to big volumes, no matter the size, or the language. Dexter reads from and already understands a wide range of customs documents. However, you can create your own extraction models. Dexter makes sense of extracted information and matches information with master data. -
16
Viacryp
Viacryp
Experience the convenience of a Trusted Third Party ( TTP ) for the careful pseudonymization of personal data, so that you can perform data analysis within the framework of the GDPR. Our basic service consists of pseudonymizing personal data. For this, we apply the principles of irreversible pseudonyms and thickening of behavior. The pseudonymized data is the source of further processing by our clients. Our filter service offers the possibility to share personal data proportionally and therefore with respect for privacy. We filter the information based on an expertly pseudonymized whitelist and only forward the information of individuals who appear on the whitelist. Viacryp provides privacy advice regarding the protection and security of personal data. Together with our partners, we advise on the measures to be taken as an organization to comply with the frameworks of the GDPR. This concerns both technical measures and organizational and process measures. -
17
Assure QuickEDD
Precisely
Protect critical IBM i applications from downtime and guard against data loss with simple, scalable, full-featured available and disaster recovery products. Assure QuickEDD replicates IBM i data and objects in real-time to local or remote backup servers. These servers then stand ready to assume the production role or recover data, including data from past points in time. Assure Quick EDD is expandable to multiple nodes and supports multiple replication topologies. It can also be used with a variety of IBM i OS levels and storage combinations and is scalable from SMB to enterprise workloads. The service uses a graphical interface that supports seven languages and a 5250 interface, with customizable switch procedures that can run step-by-step, interactively or in batch mode. Tools are provided for analysis, monitoring, and specific configurations, and reports can be created on your HA environment, job logs, and more. Alerts are also available through email, MSGQ, and SNMP. -
18
NavInfo Anonymization
NavInfo
Anonymize faces and license plates of your collected data without risking non-compliance with privacy laws such as GDPR, CCPA, and APPI. Use our examples to compare the images before and after anonymization. If you have your own image and want to test it with our model, just upload a JPEG or PNG image (max. 4MB) and see how our model will anonymize all personal information markers. The solution for GDPR compliance offers several key features. It ensures GDPR compliance without impacting downstream workflows, and it can be tailored to meet specific needs. We offer the best deployment option to quicken processing time, and it reduces the need for human intervention, which saves time and budget. Flexible deployment options are available, including cloud, on-premise, or API access. Additionally, the solution efficiently blurs license plates and faces, even under challenging vision conditions and with different camera angles. -
19
Celantur
Celantur
Automatically anonymize faces, license plates, bodies, and vehicles, easy to use and integrate on all platforms. Solve privacy challenges for a wide range of commercial and industrial use cases. Global industry leaders put trust in our products and expertise. We are solving anonymization challenges, so you can focus on your core business. Our team is on your side, helping you on your privacy journey. Data Protection is our core business, and that's why we have strong measures in place to comply with the GDPR and other data protection laws. You can use our cloud service, where all the processing is done on our infrastructure. Or use our Docker container to deploy it on-premise or in your private/public cloud environment. We charge a fee per image or video hour, and you can create a demo account and test it for free. Blur faces, license plates, persons and vehicles on images in seconds with a simple REST call. -
20
SecuPi
SecuPi
SecuPi provides an overarching data-centric security platform, delivering fine-grained access control (ABAC), Database Activity Monitoring (DAM) and de-identification using FPE encryption, physical and dynamic masking and deletion (RTBF). SecuPi offers wide coverage across packaged and home-grown applications, direct access tools, big data, and cloud environments. One data security platform for monitoring, controlling, encrypting, and classifying data across all cloud & on-prem platforms seamlessly with no code changes. Agile and efficient configurable platform to meet current & future regulatory and audit requirements. No source-code changes with fast & cost-efficient implementation. SecuPi’s fine-grain data access controls protect sensitive data so users get access only to data they are entitled to view, and no more. Seamlessly integrate with Starburst/Trino for automated enforcement of data access policies and data protection operations. -
21
TrueZero Tokenization
Spring Labs
TrueZero’s vaultless data privacy API replaces sensitive PII with tokens allowing you to easily reduce the impact of data breaches, share data more freely and securely, and minimize compliance overhead. Our tokenization solutions are leveraged by leading financial institutions. Wherever PII is stored, and however it is used, TrueZero Tokenization replaces and protects your data. More securely authenticate users, validate their information, and enrich their profiles without ever revealing sensitive data (e.g. SSN) to partners, other internal teams, or third-party services. TrueZero minimizes your in-scope environments, speeding up your time to comply by months and saving you potentially millions in build/partner costs. Data breaches cost $164 per breached record, tokenize PII & protect your business from data loss penalties and loss of brand reputation. Store tokens and run analytics in the same way you would with raw data. -
22
PK Protect
PKWARE
PK Protect is a data protection platform designed to help organizations safeguard sensitive information across diverse environments. It provides robust tools for data discovery, classification, encryption, and monitoring, ensuring that critical data is protected both at rest and in transit. With automated policies and compliance controls, PK Protect enables businesses to meet regulatory requirements like GDPR and HIPAA while minimizing the risk of data breaches. The platform integrates with various systems to provide a unified approach to managing data security across cloud, on-premises, and hybrid environments. By offering real-time visibility and proactive threat detection, PK Protect helps organizations maintain control over their sensitive data and reduce security vulnerabilities. -
23
Shaip
Shaip
Shaip offers end-to-end generative AI services, specializing in high-quality data collection and annotation across multiple data types including text, audio, images, and video. The platform sources and curates diverse datasets from over 60 countries, supporting AI and machine learning projects globally. Shaip provides precise data labeling services with domain experts ensuring accuracy in tasks like image segmentation and object detection. It also focuses on healthcare data, delivering vast repositories of physician audio, electronic health records, and medical images for AI training. With multilingual audio datasets covering 60+ languages and dialects, Shaip enhances conversational AI development. The company ensures data privacy through de-identification services, protecting sensitive information while maintaining data utility. -
24
Informatica Dynamic Data Masking
Informatica
Your IT organization can apply sophisticated masking to limit sensitive data access with flexible data masking rules based on a user’s authentication level. Blocking, auditing, and alerting your users, IT personnel, and outsourced teams who access sensitive information, it ensures compliance with your security policies and industry and civil privacy regulations. Easily customize data-masking solutions for different regulatory or business requirements. Protect personal and sensitive information while supporting offshoring, outsourcing, and cloud-based initiatives. Secure big data by dynamically masking sensitive data in Hadoop. -
25
Anonomatic
Anonomatic
Safely store, anonymize, mask, mine, redact, and share sensitive data with 100% data accuracy and full international data privacy compliance. Reap significant time and cost savings, with no loss of functionality, when you separate PII from identified data. Embed PII Vault to create innovative solutions, reduce time to market, and deliver the most PII secure solutions anywhere. Unlock data to deliver more accurate and targeted messaging. Provide one, simple step to anonymize all data before it reaches your platform. Combine disparate, anonymous data sets at the individual level without ever receiving PII once that data has been anonymized with Poly- Anonymization™. Replace PII with a compliant multi-value, non-identifying key used in anonymous data matching to link data from multiple organizations. -
26
Kodex
Kodex
Privacy engineering is an emerging field that has intersections with data engineering, information security, software development, and privacy law. Its goal is to ensure that personal data is stored and processed in a legally compliant way that respects and protects the privacy of the individuals this data belongs in the best possible way. Security engineering is on one hand a requirement for privacy engineering but also an independent discipline that aims to guarantee the secure processing and storage of sensitive data in general. If your organization processes data that is either sensitive or personal (or both), you need privacy & security engineering. This is especially true if you do your own data engineering or data science. -
27
JobKapture
ConverjIT
JobKapture is the new standard for job scraping for job board businesses and Job Board SaaS providers. This private label solution is designed for intricate needs of the recruitment sector, delivering the cost-effectiveness of a tool-only solution combined with the worry-free implementation of a service. Going beyond traditional web scraping tools, JobKapture starts with an understanding of your job board business or recruitment needs, crafting your feed to be optimized for your end goals with custom frequency, timing, pre-filtering, post-scrape transformation and enrichment, and custom output formats and channels. Quality is ensured with our exclusive 3D Monitoring – the only scraping solution on the market that monitors scrapes after it is imported to your destination site.Starting Price: $299/month -
28
SPITAB
SPITAB
All computer applications have to manage a certain number of external tables: parameters, error messages, currency rates, etc. The SPITAB software was designed to allow the manipulation and management of relational tables, marketed in 1980, it is very successful in France and abroad. The experience acquired with several hundred installations has enabled the improvements of the current version; richer, more reliable, and more efficient. SPITAB client-server allows mainframe tables to be managed from client applications running under Windows (SPITAB user interface or program using the SPITAB client API). SPITAB allows you to consult and update your SPITAB tables through your web browser (Microsoft Internet Explorer, Mozilla Firefox, etc.). The SPITAB table manager offers basic mainframe functions in the form of real-time screens or of utilities. Centralize the data contained in the mainframe tables while managing them in client applications running under Windows. -
29
Odyx yHat
Odyssey Analytics
Odyx yHat is a Time Series Forecasting tool designed to simplify the intricate field of data science, making it accessible and user-friendly for individuals without any background in data science.Starting Price: $300/month -
30
VeloDB
VeloDB
Powered by Apache Doris, VeloDB is a modern data warehouse for lightning-fast analytics on real-time data at scale. Push-based micro-batch and pull-based streaming data ingestion within seconds. Storage engine with real-time upsert、append and pre-aggregation. Unparalleled performance in both real-time data serving and interactive ad-hoc queries. Not just structured but also semi-structured data. Not just real-time analytics but also batch processing. Not just run queries against internal data but also work as a federate query engine to access external data lakes and databases. Distributed design to support linear scalability. Whether on-premise deployment or cloud service, separation or integration of storage and compute, resource usage can be flexibly and efficiently adjusted according to workload requirements. Built on and fully compatible with open source Apache Doris. Support MySQL protocol, functions, and SQL for easy integration with other data tools.
