Best Data Management Software for Cloud - Page 47
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Compare the Top Data Management Software for Cloud as of June 2026 - Page 47
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Brainbase
Brainbase
Brainbase Assist helps companies manage any licensing, partnership or sponsorship agreement from end-to-end in a single platform. - Get insights by tracking important metrics like total sales, royalties, rights availability, upcoming events, notifications and more. - Compare progress across partners, products, categories, territories, distribution channels and detect issues before they become critical. - Create personalized, custom dashboards and generate reports with the metrics that are most important to you - Upload, view and track sales reports and royalty performance all in one place. - Eliminate human error with fully-automated sales and royalty calculations based on the contract terms. -
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IBM Cloudant
IBM
IBM Cloudant® is a distributed database that is optimized for handling heavy workloads that are typical of large, fast-growing web and mobile apps. Available as an SLA-backed, fully managed IBM Cloud™ service, Cloudant elastically scales throughput and storage independently. Instantly deploy an instance, create databases and independently scale throughput capacity and data storage to meet your application requirements. Encrypt all data, with optional user-defined encryption key management through IBM Key Protect, and integrate with IBM Identity and Access Management. Get continuous availability as Cloudant distributes data across availability zones and 6 regions for app performance and disaster recovery requirements. Get continuous availability as Cloudant distributes data across availability zones and 6 regions for app performance and disaster recovery requirements. -
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Azure Cosmos DB
Microsoft
Azure Cosmos DB is a fully managed NoSQL database service for modern app development with guaranteed single-digit millisecond response times and 99.999-percent availability backed by SLAs, automatic and instant scalability, and open source APIs for MongoDB and Cassandra. Enjoy fast writes and reads anywhere in the world with turnkey multi-master global distribution. Reduce time to insight by running near-real time analytics and AI on the operational data within your Azure Cosmos DB NoSQL database. Azure Synapse Link for Azure Cosmos DB seamlessly integrates with Azure Synapse Analytics without data movement or diminishing the performance of your operational data store. -
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Oracle Berkeley DB
Oracle
Berkeley DB is a family of embedded key-value database libraries providing scalable high-performance data management services to applications. The Berkeley DB products use simple function-call APIs for data access and management. Berkeley DB enables the development of custom data management solutions, without the overhead traditionally associated with such custom projects. Berkeley DB provides a collection of well-proven building-block technologies that can be configured to address any application need from the hand-held device to the data center, from a local storage solution to a world-wide distributed one, from kilobytes to petabytes. -
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Amazon Neptune
Amazon
Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency. Amazon Neptune supports popular graph models Property Graph and W3C's RDF, and their respective query languages Apache TinkerPop Gremlin and SPARQL, allowing you to easily build queries that efficiently navigate highly connected datasets. Neptune powers graph use cases such as recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security. Proactively detect and investigate IT infrastructure using a layered security approach. Visualize all infrastructure to plan, predict and mitigate risk. Build graph queries for near-real-time identity fraud pattern detection in financial and purchase transactions. -
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IBM Db2
IBM
IBM Db2 is a family of data management products, including the Db2 relational database. The products feature AI-powered capabilities to help you modernize the management of both structured and unstructured data across on-premises and multicloud environments. By helping to make your data simple and accessible, the Db2 family positions your business to pursue the value of AI. Most of the Db2 family is available on the IBM Cloud Pak® for Data platform, either as an add-on or an included data source service, making virtually all of your data available across hybrid or multicloud environments to fuel your AI applications. Easily converge your transactional data stores and rapidly derive insights through universal, intelligent querying of data across disparate sources. Cut costs with the multimodel capability that eliminates the need for data replication and migration. Enhance agility by running Db2 on any cloud vendor. -
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IBM Informix
IBM
IBM Informix® is a fast and flexible database with the ability to seamlessly integrate SQL, NoSQL/JSON, and time series and spatial data. Its versatility and ease of use make Informix a preferred solution for a wide range of environments, from enterprise data warehouses to individual application development. Also, with its small footprint and self-managing capabilities, Informix is well suited for embedded data-management solutions. IoT data demands robust processing and integration capabilities. Informix offers a hybrid database system with minimal administrative requirements and memory footprint combined with powerful functionality. Key features make Informix ideal for multi-tiered architectures that require processing at the device level, at gateway layers and in the cloud. Native encryption to protect data at rest and in motion. Support for flexible schema, multiple APIs and configurations. -
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SAP IQ
SAP
Enhance in-the-moment decision-making with SAP IQ, our columnar relational database management system (RDBMS) optimized for Big Data analytics. Gain maximum speed, power, and security, while supporting extreme-scale enterprise data warehousing and Big Data analytics, with this affordable, efficient relational database management system (RDBMS) for SAP Business Technology Platform. Deploy as a fully managed cloud service on a major hyper scale platform. Ingest, store, and query large data volumes within a relational data lake that provides a native object storage for most file types. Provide a compatible, fully managed cloud option for SAP IQ customers that extend existing Sybase investments. Simplify the migration of existing SAP IQ databases to the cloud. Make Big Data available faster to applications and people for in-the-moment decisions. -
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QueryPlus
QualCorp
QueryPlus© represents the next generation in insurance reporting. Taking your input, QueryPlus© dynamically writes complex SQL queries behind the scenes and then displays the results in a simple, familiar, and flexible grid format where data can be easily manipulated by simply dragging and dropping. From customer ranking reports to complex accounting reports, QueryPlus© allows you to get the critical business data you need quickly & efficiently. For those agencies with advanced reporting needs, QueryPlus© includes a customized report designer which allows you to create even the most complex reports using your custom dataset. Though the preferred format for data processing may often be that of Excel spreadsheets, QueryPlus© is also the tool of choice for those who want the most robust reporting features available. Providing a friendly, intuitive, visually-based, wizard-driven report design environment. -
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Firebolt
Firebolt Analytics
Firebolt delivers extreme speed and elasticity at any scale solving your impossible data challenges. Firebolt has completely redesigned the cloud data warehouse to deliver a super fast, incredibly efficient analytics experience at any scale. An order-of-magnitude leap in performance means you can analyze much more data at higher granularity with lightning fast queries. Easily scale up or down to support any workload, amount of data and concurrent users. At Firebolt we believe that data warehouses should be much easier to use than what we’re used to. That's why we focus on turning everything that used to be complicated and labor intensive into simple tasks. Cloud data warehouse providers profit from the cloud resources you consume. We don’t! Finally, a pricing model that is fair, transparent, and allows you to scale without breaking the bank. -
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data studio for amazon
Mixshift
data studio backs up & reports amazon advertising data and performance. With our software you can easily connect to your seller and vendor central accounts, analyze the advertising performance of a merchant, and/or directly connect your data to your own BI software for reporting. use our simple sign-on process to easily connect to all your Amazon accounts. enter and manage the credentials of your Amazon seller and vendor central accounts to import all of your data to be maintained and stored for as long as you want. Account manager was built to facilitate agencies getting data for all their managed brands through one simple connection and software interface. Our platform will guide you through the process of adding brands and their credentials so you can quickly get your data and start reporting. See all your amazon data, for all of your advertising campaigns, for all brands .Starting Price: $300 per month -
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Hypatos
Hypatos
Manual document processing is a major cost driver in organizations. Our deep learning technology automates complex document processing tasks to make back-offices more efficient. Use cases for Hypatos document processing AI. We offer deep learning solutions for many document processes. Pre-trained AI models and powerful machine learning pipeline software deliver quick impact on back-office efficiency. Accounts payable processing is one of the largest pain points in back-office operations in every organization. Hypatos offers solutions to automate capturing of invoice data, tax compliance validation and accounting. -
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CYS
CYS Group
One software solution for combining all relevant data and feedback from customers, employees and business. For more than 15 years CYS has been helping companies to improve their customers’ experience and business results. We have set ourselves the audacious goal of developing the best software in the world for collecting, combining and visualizing insights from customers, employees and business data. Automatically collect feedback from customers and employees. Easily create audits, checklists and more... Available on any device. Integrate multiple data sources in one solution and combine and manage data in any way you want. All managed data can be used in Research and Visualization. Create stunning looking insights with customized dashboards and cutting-edge infographics with real time data and available on any device.Starting Price: $290 per month -
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Delve
Delve
Software to Analyze Qualitative Data. CAQDAS for coding in qualitative research. Analyze transcripts from in depth interviews and focus groups together with your team. Delve is a software to analyze qualitative data. It’s a simple to use, collaborative online qualitative analysis tool that allows you to find rigorous, human insights quickly. With Delve, you can deliver research reports that are more rigorous without sacrificing speed.Starting Price: $50 per user per month -
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Placer.ai
Placer Labs
Unprecedented visibility into consumer foot-traffic. Compare your business performance with any local or distant competitor. Gain insight into + 13 M venues and places across the United States. Analyze footfall and customer behavior in any retail industry. Learn how many visitors by hour, day, and month. Know where customers are coming from and going to. Identify customer demographics, interests, and intent. Discover the most important areas generating true economic activity. Track customer churn and understand evolving consumer patterns. Understand how large events will impact business. -
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Amazon Textract
Amazon
Amazon Textract is a fully managed machine learning service that automatically extracts text and data from scanned documents that goes beyond simple optical character recognition (OCR) to identify, understand, and extract data from forms and tables. Many companies today extract data from scanned documents, such as PDF's, tables and forms, through manual data entry (that is slow, expensive and prone to errors), or through simple OCR software that requires manual configuration which needs to be updated each time the form changes to be usable. To overcome these manual processes, Textract uses machine learning to instantly read and process any type of document, accurately extracting text, forms, tables, and, other data without the need for any manual effort or custom code. With Textract you can quickly automate manual document activities, enabling you to process millions of document pages in hours. -
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Google Cloud Datalab
Google
An easy-to-use interactive tool for data exploration, analysis, visualization, and machine learning. Cloud Datalab is a powerful interactive tool created to explore, analyze, transform, and visualize data and build machine learning models on Google Cloud Platform. It runs on Compute Engine and connects to multiple cloud services easily so you can focus on your data science tasks. Cloud Datalab is built on Jupyter (formerly IPython), which boasts a thriving ecosystem of modules and a robust knowledge base. Cloud Datalab enables analysis of your data on BigQuery, AI Platform, Compute Engine, and Cloud Storage using Python, SQL, and JavaScript (for BigQuery user-defined functions). Whether you're analyzing megabytes or terabytes, Cloud Datalab has you covered. Query terabytes of data in BigQuery, run local analysis on sampled data, and run training jobs on terabytes of data in AI Platform seamlessly. -
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Google Cloud Data Fusion
Google
Open core, delivering hybrid and multi-cloud integration. Data Fusion is built using open source project CDAP, and this open core ensures data pipeline portability for users. CDAP’s broad integration with on-premises and public cloud platforms gives Cloud Data Fusion users the ability to break down silos and deliver insights that were previously inaccessible. Integrated with Google’s industry-leading big data tools. Data Fusion’s integration with Google Cloud simplifies data security and ensures data is immediately available for analysis. Whether you’re curating a data lake with Cloud Storage and Dataproc, moving data into BigQuery for data warehousing, or transforming data to land it in a relational store like Cloud Spanner, Cloud Data Fusion’s integration makes development and iteration fast and easy. -
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Managed Service for Apache Spark is a Google Cloud solution that simplifies running Apache Spark workloads with either serverless execution or fully managed clusters. It allows users to process large-scale data without needing to manage infrastructure, reducing operational complexity. The platform features Lightning Engine, which accelerates Spark performance by up to 4.9 times compared to open-source Spark. It supports data engineering, data science, and machine learning workflows at scale. Integration with Gemini enables AI-powered development, including automated code generation and troubleshooting. The service works seamlessly with open data formats like Apache Iceberg and integrates with tools like BigQuery and Knowledge Catalog. It offers flexible deployment options to suit different workloads and use cases. Overall, it provides a faster, smarter, and more efficient way to run Spark workloads in the cloud.
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20
Google Cloud Pub/Sub
Google
Google Cloud Pub/Sub. Scalable, in-order message delivery with pull and push modes. Auto-scaling and auto-provisioning with support from zero to hundreds of GB/second. Independent quota and billing for publishers and subscribers. Global message routing to simplify multi-region systems. High availability made simple. Synchronous, cross-zone message replication and per-message receipt tracking ensure reliable delivery at any scale. No planning, auto-everything. Auto-scaling and auto-provisioning with no partitions eliminate planning and ensures workloads are production-ready from day one. Advanced features, built in. Filtering, dead-letter delivery, and exponential backoff without sacrificing scale help simplify your applications. A fast, reliable way to land small records at any volume, an entry point for real-time and batch pipelines feeding BigQuery, data lakes and operational databases. Use it with ETL/ELT pipelines in Dataflow. -
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AWS Glue
Amazon
AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning, and application development. AWS Glue provides all the capabilities needed for data integration so that you can start analyzing your data and putting it to use in minutes instead of months. Data integration is the process of preparing and combining data for analytics, machine learning, and application development. It involves multiple tasks, such as discovering and extracting data from various sources; enriching, cleaning, normalizing, and combining data; and loading and organizing data in databases, data warehouses, and data lakes. These tasks are often handled by different types of users that each use different products. AWS Glue runs in a serverless environment. There is no infrastructure to manage, and AWS Glue provisions, configures, and scales the resources required to run your data integration jobs. -
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Amazon Forecast
Amazon
Amazon Forecast is a fully managed service that uses machine learning to deliver highly accurate forecasts. Companies today use everything from simple spreadsheets to complex financial planning software to attempt to accurately forecast future business outcomes such as product demand, resource needs, or financial performance. These tools build forecasts by looking at a historical series of data, which is called time series data. For example, such tools may try to predict the future sales of a raincoat by looking only at its previous sales data with the underlying assumption that the future is determined by the past. This approach can struggle to produce accurate forecasts for large sets of data that have irregular trends. Also, it fails to easily combine data series that change over time (such as price, discounts, web traffic, and number of employees) with relevant independent variables like product features and store locations. -
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SQLstream
Guavus, a Thales company
SQLstream ranks #1 for IoT stream processing & analytics (ABI Research). Used by Verizon, Walmart, Cisco, & Amazon, our technology powers applications across data centers, the cloud, & the edge. Thanks to sub-ms latency, SQLstream enables live dashboards, time-critical alerts, & real-time action. Smart cities can optimize traffic light timing or reroute ambulances & fire trucks. Security systems can shut down hackers & fraudsters right away. AI / ML models, trained by streaming sensor data, can predict equipment failures. With lightning performance, up to 13M rows / sec / CPU core, companies have drastically reduced their footprint & cost. Our efficient, in-memory processing permits operations at the edge that are otherwise impossible. Acquire, prepare, analyze, & act on data in any format from any source. Create pipelines in minutes not months with StreamLab, our interactive, low-code GUI dev environment. Export SQL scripts & deploy with the flexibility of Kubernetes. -
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Google Cloud Spanner
Google
Scale as needed with no limits: Globally distributed, ACID-compliant database that automatically handles replicas, sharding, and transaction processing, so you can quickly scale to meet any usage pattern and ensure the success of your products. Cloud Spanner is built on Google’s dedicated network and battle-tested by Google services used by billions. It offers up to 99.999% availability with zero downtime for planned maintenance and schema changes. Do fewer thankless tasks with a simpler experience: IT Admins and DBAs are inundated with operating databases. With Cloud Spanner, creating or scaling a globally replicated database now takes a handful of clicks and reduces your cost of maintaining databases. -
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ebCard
ebCard
Your lead data management platform. Capture, qualify and synchronize lead data with your systems. Capture, qualify, nurture and convert faster, better, and cheaper. Capture any source of lead data and get more data points with the minimum effort and highest quality. Qualify leads with your notes and questions before you send them to your marketing and sales tools. Synch all contact data with your sales and marketing platform and trigger your conversion processes.Starting Price: $1975 per year -
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Stackby
Stackby
No more messy spreadsheets when you have easy databases. With the simplicity of spreadsheets, the functionality of databases and integrations with best business APIs, Stackby gives you the flexibility to build your own work tools your way. No coding or technical skills are required. It's as easy as a spreadsheet, but you can mold it into a powerful relational database that your teams will love to use. Import excel or google Sheets or create your own template, in a few minutes. No coding or training is needed. With over 25+ unique column data types, 6 data views, powerups, an apps marketplace & ever-increasing capabilities, you can build custom no-code solutions for your teams to move work forward faster. Discover useful powerups, build custom reporting dashboards and extend your workflows with powerful building blocks for your team need to reach new milestones.Starting Price: $5 / per user per month -
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Hyarchis
Hyarchis
Offer your customers an entirely digitized onboarding experience while ensuring peace of mind with a fully automated regulatory compliance solution. Use innovative technology based on Artificial Intelligence so that your customers can quickly start their customer journey. We would be happy to tell you about Document processing, Identity verification, Risk Profile Assessment, and KYC Workflow. Ensure your regulatory compliance throughout the lifecycle of your customers with a fully automated solution powered by artificial intelligence. By continuously monitoring, you effortlessly pass strict controls and contribute to a healthy financial ecosystem. In addition, our products, Risk Screening, and Customer Due Diligence make your life easier. A comprehensive, digital document management system designed for efficient onboarding, remediation, and customer file lifecycle management. The tool balances efficient, compliant, secure data management and a seamless user experience. -
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Amazon ElastiCache
Amazon
Amazon ElastiCache allows you to seamlessly set up, run, and scale popular open-Source compatible in-memory data stores in the cloud. Build data-intensive apps or boost the performance of your existing databases by retrieving data from high throughput and low latency in-memory data stores. Amazon ElastiCache is a popular choice for real-time use cases like Caching, Session Stores, Gaming, Geospatial Services, Real-Time Analytics, and Queuing. Amazon ElastiCache offers fully managed Redis and Memcached for your most demanding applications that require sub-millisecond response times. Amazon ElastiCache works as an in-memory data store and cache to support the most demanding applications requiring sub-millisecond response times. By utilizing an end-to-end optimized stack running on customer-dedicated nodes, Amazon ElastiCache provides secure, blazing-fast performance. -
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Parashift
Parashift
Don’t reduce manual invoice data entry. Skip it entirely. Use Parashift to instantly eliminate 100% of your invoice data entry work now. No initial setup, no infrastructure, licensing or troublesome implementation. We only charge variable costs for your processed document volume. No minimal consumption is required. Start small. Thanks to an enormously scalable cloud infrastructure you can scale up or down instantly. Parashift goes beyond OCR and Data Capture. We validate extracted data for you so that you don’t have to. Improve your accounts payable processes tremendously. We greatly increase the efficiency of the accounts payable department by processing the most common purchase to pay documents: - Offer - Order - Oder confirmation - Delivery statement - Pro-Forma invoice - Invoice / Receipt - Credit note - Dunning (with overdue fines) Parashift integrates into your existing Purchase to Pay Software -
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Backtrace
Backtrace
Don’t let app, device, or game crashes get in the way of a great experience. Backtrace takes all the manual labor out of cross-platform crash and exception management so you can focus on shipping. Cross-platform callstack and event aggregation and monitoring. Process errors from panics, core dumps, minidumps, and during runtime across your stack with a single system. Backtrace generates structured, searchable error reports from your data. Automated analysis cuts down on time to resolution by surfacing important signals that lead engineers to crash root cause. Never worry about missing a clue with rich integrations into dashboards, notification, and workflow systems. Answer the questions that matter to you with Backtrace’s rich query engine. View a high-level overview of error frequency, prioritization, and trends across all your projects. Search through key data points and your own custom data across all your errors.
