Best Data Management Software for Amazon Web Services (AWS) - Page 10

Compare the Top Data Management Software that integrates with Amazon Web Services (AWS) as of November 2025 - Page 10

This a list of Data Management software that integrates with Amazon Web Services (AWS). Use the filters on the left to add additional filters for products that have integrations with Amazon Web Services (AWS). View the products that work with Amazon Web Services (AWS) in the table below.

  • 1
    OpenText Migrate
    OpenText Migrate is a secure, efficient solution designed to migrate physical, virtual, and cloud workloads with minimal risk and near-zero downtime. It uses continuous, byte-level replication to ensure data is transferred reliably while users remain productive throughout the migration. The platform supports migrations between any combination of environments, including major public clouds and hypervisors. Automated cutover and non-disruptive testing reduce manual effort and avoid disruptions. OpenText Migrate also offers strong data protection with AES 256-bit encryption during transfer. With easy management via a unified console, organizations can accelerate migration projects while avoiding vendor lock-in and minimizing IT resource demands.
  • 2
    SOLIXCloud CDP

    SOLIXCloud CDP

    Solix Technologies

    SOLIXCloud CDP delivers cloud data management as-a-service for modern data-driven enterprises. Built on opensource, cloud native technologies SOLIXCloud CDP helps companies manage and process all of their structured, semi-structured and unstructured data for advanced anaytics, compliance, infrastructure optimization and data security. With features such as Solix Connect for data ingestion, Solix Data Governance, Solix Metadata Management and Solix Search, SOLIXCloud CDP offers a comprehensive cloud data management application framework to build and run data-driven applications such as SQL data warehouse, machine learning and artifitial intelligience while fulfilling the ever growing data management requirements of complex data regulations, data retention and consumer data privacy.
  • 3
    SOLIXCloud

    SOLIXCloud

    Solix Technologies

    Data volume keeps growing, but not all data has equal value. Cloud data management enables forward thinking companies to reduce the cost of managing enterprise data and still provide security, compliance, performance and easy access. As content ages, it loses value, but organizations can still monetize their less current data through modern SaaS-based solutions. SOLIXCloud delivers all of the capabilities required to strike the perfect balance between historical and current data management. With a complete suite of compliance features for structured, unstructured, and semi-structured data, SOLIXCloud offers a fully managed service for all enterprise data. Solix metadata management is an end-to-end framework to explore all enterprise metadata and lineage from a centralized repository and business glossary.
  • 4
    Quantexa

    Quantexa

    Quantexa

    Uncover hidden risk and reveal new, unexpected opportunities with graph analytics across the customer lifecycle. Standard MDM solutions are not built for high volumes of distributed, disparate data, that is generated by various applications and external sources. Traditional MDM probabilistic matching doesn’t work well with siloed data sources. It misses connections, losing context, leads to decision-making inaccuracy, and leaves business value on the table. An ineffective MDM solution affects everything from customer experience to operational performance. Without on-demand visibility of holistic payment patterns, trends and risk, your team can’t make the right decisions quickly, compliance costs escalate, and you can’t increase coverage fast enough. Your data isn’t connected – so customers suffer fragmented experiences across channels, business lines and geographies. Attempts at personalized engagement fall short as these are based on partial, often outdated data.
  • 5
    witboost

    witboost

    Agile Lab

    witboost is a modular, scalable, fast, efficient data management system for your company to truly become data driven, reduce time-to-market, it expenditures and overheads. witboost comprises a series of modules. These are building blocks that can work as standalone solutions to address and solve a single need or problem, or they can be combined to create the perfect data management ecosystem for your company. Each module improves a specific data engineering function and they can be combined to create the perfect solution to answer your specific needs, guaranteeing a blazingly fact and smooth implementation, thus dramatically reducing time-to-market, time-to-value and consequently the TCO of your data engineering infrastructure. Smart Cities need digital twins to predict needs and avoid unforeseen problems, gathering data from thousands of sources and managing ever more complex telematics.
  • 6
    Rawcubes

    Rawcubes

    Rawcubes

    The only software that combines data intelligence through knowledge Graph with multi cloud data strategies to enable better business insights. Lack of Insightful data preventing you from running successful campaigns? Uncover the intelligence and learn what your customer wants! Get a 360-degree view of the business operations through a single, end-to-end analysis using our proprietary product, DataBlaze. Empower your data experts with data strategies models. No need to write codes, no human errors. Leverage pre-built ML models to aid insurers in accurately evaluating and managing property risk. Rawcubes helps businesses utilize their data by leveraging our data platforms, pre-built domain knowledge graph, and analytical models to enable better business insights. Rawcubes provides world-class data management software, business analytical models, and access to a team of data scientists and data engineers if you need expert advice or just to bounce around an idea or two.
  • 7
    Duality

    Duality

    Duality Technologies

    Duality Technologies provides a cutting-edge privacy-enhancing platform that enables organizations to securely analyze and collaborate on sensitive, distributed data without exposing or moving it. Using advanced Privacy Enhancing Technologies (PETs) such as fully homomorphic encryption and federated learning, Duality allows AI models and analytics to run safely on encrypted data. The platform supports secure data sharing across borders and organizational silos while maintaining strict compliance and data sovereignty. Duality’s solutions empower industries like financial services, healthcare, and government to generate insights, accelerate innovation, and minimize risk. Customers benefit from seamless integration with major cloud providers and enterprise partners including AWS, Azure, and Google. By safeguarding data throughout the entire data science lifecycle, Duality unlocks new possibilities for privacy-first collaborative research and AI.
  • 8
    SparkBeyond

    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.
  • 9
    Graviti

    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.
  • 10
    Staple

    Staple

    Staple

    Staple's unique interface allows viewing and sorting of documents with ease, in an intuitive manner. Multiple users can sort, share and export documents to a variety of systems. Staple's proprietary document viewing system allows simple point and click interactions with documents, delivers lightning-fast processing, and continuous feedback to its consistently improving AI. More than a typical OCR or a text mining solution, our deep technology approach reads and interprets documents just as a human would. Instant, accurate data extraction and document processing means that businesses can substantially automate their workflows and reduce reliance on human data entry. Staple uses a proprietary fusion of machine learning and computer vision to deliver unprecedented extraction performance in terms of speed and precision. Try us out, we'd love to show you what we can do. Staple's data extraction solution can be accessed via Xero or Quickbooks integrations, or directly via our API.
  • 11
    Machbase

    Machbase

    Machbase

    Machbase, a time-series database that stores and analyzes a lot of sensor data from various facilities in real time, is the only DBMS solution that can process and analyze big data at high speed. Experience the amazing speed of Machbase! It is the most innovative product that enables real-time processing, storage, and analysis of sensor data. High speed sensor data storage and inquiry for sensor data by embedding DBMS in an Edge devices. Best data storage and extraction performance by DBMS running in a single server. Configuring Multi-node cluster with the advantages of availability and scalability. Total management solution of Edge computing for device, connectivity and data.
  • 12
    Circonus IRONdb
    Circonus IRONdb makes it easy to handle and store unlimited volumes of telemetry data, easily handling billions of metric streams. Circonus IRONdb enables users to identify areas of opportunity and challenge in real time, providing forensic, predictive, and automated analytics capabilities that no other product can match. Rely on machine learning to automatically set a “new normal” as your data and operations dynamically change. Circonus IRONdb integrates with Grafana, which has native support for our analytics query language. We are also compatible with other visualization apps, such as Graphite-web. Circonus IRONdb keeps your data safe by storing multiple copies of your data in a cluster of IRONdb nodes. System administrators typically manage clustering, often spending significant time maintaining it and keeping it working. Circonus IRONdb allows operators to set and forget their cluster, and stop wasting resources manually managing their time series data store.
  • 13
    DataSentics

    DataSentics

    DataSentics

    Making data science & machine learning have a real impact on organizations. We are an AI product studio, a group of 100 experienced data scientists and data engineers with a combination of experience both from the agile world of digital start-ups as well as major international corporations. We don’t end with nice slides and dashboards. The result that counts is an automated data solution in production integrated inside a real process. We do not report clickers but data scientists and data engineers. We have a strong focus on productionalizing data science solutions in the cloud with high standards of CI and automation. Building the greatest concentration of the smartest and most creative data scientists and engineers by being the most exciting and fulfilling place for them to work in Central Europe. Giving them the freedom to use our critical mass of expertise to find and iterate on the most promising data-driven opportunities, both for our clients and our own products.
  • 14
    Retina

    Retina

    Retina

    Predict future value from day one. Retina is the customer intelligence solution that provides accurate customer lifetime value metrics early in the customer journey. Optimize marketing budgets in real-time, drive more predictable repeat revenue, and elevate brand equity with the most accurate CLV metrics. Align customer acquisition around CLV with improved targeting, ad relevance, conversion rates & customer loyalty. Build lookalike audiences based on your best customers. Focus on customer behavior instead of demographics. Pinpoint attributes that make leads more likely to convert. Uncover product features that drive valuable customer behavior. Create customer journeys that positively impact lifetime value. Implement changes to boost the value of your customer base. Using a sample of your customer data, Retina delivers individual customer lifetime value calculations to qualified customers before you buy.
  • 15
    Datametica

    Datametica

    Datametica

    At Datametica, our birds with unprecedented capabilities help eliminate business risks, cost, time, frustration, and anxiety from the entire process of data warehouse migration to the cloud. Migration of existing data warehouse, data lake, ETL, and Enterprise business intelligence to the cloud environment of your choice using Datametica automated product suite. Architecting an end-to-end migration strategy, with workload discovery, assessment, planning, and cloud optimization. Starting from discovery and assessment of your existing data warehouse to planning the migration strategy – Eagle gives clarity on what’s needed to be migrated and in what sequence, how the process can be streamlined, and what are the timelines and costs. The holistic view of the workloads and planning reduces the migration risk without impacting the business.
  • 16
    Hammerspace

    Hammerspace

    Hammerspace

    Hammerspace is a revolutionary storage platform that unlocks unused local NVMe storage in GPU servers to accelerate AI training and checkpointing. It transforms siloed, stranded storage into a shared, ultra-fast tier that dramatically increases GPU utilization and reduces the need for costly external storage systems. By using a standards-based parallel file system, Hammerspace delivers low-latency, high-throughput data access that scales to thousands of GPU servers. The platform helps cut power consumption and infrastructure costs while boosting AI workload performance. Leading organizations like Meta rely on Hammerspace to optimize their AI infrastructure. With easy deployment and rapid scaling, Hammerspace enables teams to get AI models trained faster and more efficiently.
  • 17
    reciTAL

    reciTAL

    reciTAL

    reciTAL is an Artificial Intelligence software editor. First Intelligent Document Processing player with a Deep Tech label, reciTAL automates your extraction, classification and search processes, for all types of document and email flows. At any time, you can re-train a model taking into consideration user feedback. The reciTAL team guides you through deployment in your internal Kubernetes or via Docker Compose. Basic business rules are then implemented in a few minutes to configure your data points. Depending on the level of confidence reached, the extracted data are validated or not by an operator. The configuration of a new type of document is done with unparalleled simplicity and speed. Validated data is used for continuous performance improvement.
  • 18
    Amadea

    Amadea

    ISoft

    Amadea technology relies on the fastest real-time calculation and modeling engine on the market. Speed up the creation, deployment and automation of your analytics projects within the same integrated environment. Data quality is the key to analytical projects. Thanks to the ISoft real-time calculation engine, the fastest on the market, Amadea allows companies to prepare and use massive and/or complex data in real-time, regardless of the volume. ISoft started from a simple observation, successful analytical projects must involve the business users at every stage. Founded on a no-code interface, accessible to all types of users, Amadea allows everyone involved in analytical projects to take part. As Amadea has the fastest real-time calculation engine on the market, it lets you specify, prototype and build your data applications simultaneously. Amadea incorporates the fastest real-time data analysis engine on the market, 10 million lines per second & per core for standard calculations.
  • 19
    StreamFlux

    StreamFlux

    Fractal

    Data is crucial when it comes to building, streamlining and growing your business. However, getting the full value out of data can be a challenge, many organizations are faced with poor access to data, incompatible tools, spiraling costs and slow results. Simply put, leaders who can turn raw data into real results will thrive in today’s landscape. The key to this is empowering everyone across your business to be able to analyze, build and collaborate on end-to-end AI and machine learning solutions in one place, fast. Streamflux is a one-stop shop to meet your data analytics and AI challenges. Our self-serve platform allows you the freedom to build end-to-end data solutions, uses models to answer complex questions and assesses user behaviors. Whether you’re predicting customer churn and future revenue, or generating recommendations, you can go from raw data to genuine business impact in days, not months.
  • 20
    PurpleCube

    PurpleCube

    PurpleCube

    Enterprise-grade architecture and cloud data platform powered by Snowflake® to securely store and leverage your data in the cloud. Built-in ETL and drag-and-drop visual workflow designer to connect, clean & transform your data from 250+ data sources. Use the latest in Search and AI-driven technology to generate insights and actionable analytics from your data in seconds. Leverage our AI/ML environments to build, tune and deploy your models for predictive analytics and forecasting. Leverage our built-in AI/ML environments to take your data to the next level. Create, train, tune and deploy your AI models for predictive analysis and forecasting, using the PurpleCube Data Science module. Build BI visualizations with PurpleCube Analytics, search through your data using natural language, and leverage AI-driven insights and smart suggestions that deliver answers to questions you didn’t think to ask.
  • 21
    MOSTLY AI

    MOSTLY AI

    MOSTLY AI

    As physical customer interactions shift into digital, we can no longer rely on real-life conversations. Customers express their intents, share their needs through data. Understanding customers and testing our assumptions about them also happens through data. And privacy regulations such as GDPR and CCPA make a deep understanding even harder. The MOSTLY AI synthetic data platform bridges this ever-growing gap in customer understanding. A reliable, high-quality synthetic data generator can serve businesses in various use cases. Providing privacy-safe data alternatives is just the beginning of the story. In terms of versatility, MOSTLY AI's synthetic data platform goes further than any other synthetic data generator. MOSTLY AI's versatility and use case flexibility make it a must-have AI tool and a game-changing solution for software development and testing. From AI training to explainability, bias mitigation and governance to realistic test data with subsetting, referential integrity.
  • 22
    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.
  • 23
    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.
  • 24
    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.
  • 25
    Redpanda

    Redpanda

    Redpanda Data

    Breakthrough data streaming capabilities that let you deliver customer experiences never before possible. Kafka API and ecosystem are compatible. Redpanda BulletPredictable low latencies with zero data loss. Redpanda BulletUpto 10x faster than Kafka. Redpanda BulletEnterprise-grade support and hotfixes. Redpanda BulletAutomated backups to S3/GCS. Redpanda Bullet100% freedom from routine Kafka operations. Redpanda BulletSupport for AWS and GCP. Redpanda was designed from the ground up to be easily installed to get streaming up and running quickly. After you see its power, put Redpanda to the test in production. Use the more advanced Redpanda features. We manage provisioning, monitoring, and upgrades. Without any access to your cloud credentials. Sensitive data never leaves your environment. Provisioned, operated, and maintained for you. Configurable instance types. Expand cluster as your needs grow.
  • 26
    Samza

    Samza

    Apache Software Foundation

    Samza allows you to build stateful applications that process data in real-time from multiple sources including Apache Kafka. Battle-tested at scale, it supports flexible deployment options to run on YARN or as a standalone library. Samza provides extremely low latencies and high throughput to analyze your data instantly. Scales to several terabytes of state with features like incremental checkpoints and host-affinity. Samza is easy to operate with flexible deployment options - YARN, Kubernetes or standalone. Ability to run the same code to process both batch and streaming data. Integrates with several sources including Kafka, HDFS, AWS Kinesis, Azure Eventhubs, K-V stores and ElasticSearch.
  • 27
    eMite

    eMite

    eMite

    eMite is the operational intelligence platform that combines advanced analytics, data correlation, KPI management and threshold alerting into a single, out-of-the-box browser-based solution that provides actionable insights from both real-time and historical data. eMite provides a very flexible and powerful data onboarding ETL (extract, transform, load) framework using several technologies to extract data, including APIs, XML, JSON, SQL, and others. eMite has developed over 80 pre-built adaptors to automatically ingest data from common third-party solutions from vendors like Salesforce, Microsoft, Oracle, Atlassian, Snare, and Genesys. eMite also provides adaptors to onboard data from more generic data sources like a database or an Excel file. eMite includes a KPI (Key Performance Indicator) management system, allowing users to build custom KPIs that are relevant to their operations.
  • 28
    NVISIONx

    NVISIONx

    NVISIONx

    NVISIONx data risk Intelligence platform enables companies to gain control of their enterprise data to reduce data risks, compliance scopes, and storage costs. Data is growing out of control and getting worse every day. Business and security leaders are overwhelmed and can’t protect what they don’t know. More controls won’t fix the problem. Rich and unlimited analysis to support over 150 business use cases to empower data owners and cyber professionals to proactively manage their data from cradle to grave. First, categorize or group data that is redundant, outdated, or trivial (ROT) and see what data can be defensibly disposed of to reduce the classification scope (and storage costs). Then, contextually classify all remaining data using a number of easy-to-use data analytics techniques to enable the data owner to be their own data analyst! Data identified as useless and unwanted can then go through legal and records retention reviews.
  • 29
    Ocient Hyperscale Data Warehouse
    The Ocient Hyperscale Data Warehouse transforms and loads data in seconds, enables organizations to store and analyze more data, and executes queries on hyperscale datasets up to 50x faster. To deliver next-generation data analytics, Ocient completely reimagined its data warehouse design to deliver rapid, continuous analysis of complex, hyperscale datasets. The Ocient Hyperscale Data Warehouse brings storage adjacent to compute to maximize performance on industry-standard hardware, enables users to transform, stream or load data directly, and returns previously infeasible queries in seconds. Optimized for industry standard hardware, Ocient has benchmarked query performance levels up to 50x better than competing products. The Ocient Hyperscale Data Warehouse empowers next-generation data analytics solutions in key areas where existing solutions fall short.
  • 30
    Habu

    Habu

    Habu

    Connect to data wherever it lives, even across a disparate universe. Data and model enrichment is the #1 way to increase and enhance acquisition and retention. Through machine learning, you will unlock new insights by bringing proprietary models, like propensity models, and data together in a protected way to supercharge your customer profiles and models and scale rapidly. It’s not enough to enrich the data. Your team must seamlessly go from insight to activation. Automate audience segmentation and immediately push your campaigns across disparate channels. Be smarter about who you target to save on budget and churn. Know where to target and when. Have the tools to act on data at the moment. Identifying the entire customer journey, including different types of data, has always been a challenge. As privacy regulations get stricter and data becomes more distributed, secure and easy access to those intent signals is more critical than ever.