Best Data Management Software for Amazon Web Services (AWS)

Dataleyk is a secure, fully-managed cloud platform for SMBs. Our mission is to make Big Data analytics accessible and easy for everyone. Dataleyk is the missing piece to achieving your data-driven goals. Our platform makes it easy to create a stable, flexible, and reliable cloud data lake without any technical knowledge. All of your company data can be brought together, explored with SQL, and visualized with your favorite BI tool. Dataleyk will modernize your data warehouse. Our cloud-based data platform is capable of handling both structured and unstructured data. Data is an asset. Dataleyk, a cloud-based data platform, encrypts all data and offers data warehousing on-demand. Zero maintenance may not be an easy goal. It can be a catalyst for significant delivery improvements, and transformative results.

Qlik Data Integration platform automates the process for providing reliable, accurate and trusted data sets for business analysis. Data engineers are able to quickly add new sources to ensure success at all stages of the data lake pipeline, from real-time data intake, refinement, provisioning and governance. This is a simple and universal solution to continuously ingest enterprise data into popular data lake in real-time. This model-driven approach allows you to quickly design, build, and manage data lakes in the cloud or on-premises. To securely share all your derived data sets, create a smart enterprise-scale database catalog.

Prophecy allows you to connect with many more people, including data analysts and visual ETL developers. To create your pipelines, all you have to do is click and type a few SQL expressions. You will be creating high-quality, readable code for Spark or Airflow by using the Low-Code Designer. This code is then committed to your Git. Prophecy provides a gem builder that allows you to quickly create and roll out your own Frameworks. Data Quality, Encryption and new Sources are just a few examples. Prophecy offers best practices and infrastructure as managed service - making your life and operations easier! Prophecy makes it easy to create workflows that are high-performance and scale out using the cloud.

Out of control unstructured data volumes have made your work environment a messy and costly data swamp, where you can't trust or find the files you need. Panzura transforms your storage into the most secure and user-friendly cloud data management platform in the world. You can achieve global data consistency and immediate, efficient performance at scale. Secure data access from the edge to the core to the cloud without any performance penalties. You can create a collaborative work environment that is accessible from anywhere. Cloud mirroring and multi-cloud redundancy provide data protection and data protection. If you are overwhelmed by data, innovation can seem impossible. Panzura consolidates and simplifies your data management, increasing visibility and access, encouraging collaboration and allowing you to achieve better outcomes in less time.

Astra DB from DataStax is a real-time vector database as a service for developers that need to get accurate Generative AI applications into production, fast. Astra DB gives you a set of elegant APIs supporting multiple languages and standards, powerful data pipelines and complete ecosystem integrations. Astra DB enables you to quickly build Gen AI applications on your real-time data for more accurate AI that you can deploy in production. Built on Apache Cassandra, Astra DB is the only vector database that can make vector updates immediately available to applications and scale to the largest real-time data and streaming workloads, securely on any cloud. Astra DB offers unprecedented serverless, pay as you go pricing and the flexibility of multi-cloud and open-source. You can store up to 80GB and/or perform 20 million operations per month. Securely connect to VPC peering and private links. Manage your encryption keys with your own key management. SAML SSO secure account accessibility. You can deploy on Amazon, Google Cloud, or Microsoft Azure while still compatible with open-source Apache Cassandra.

Mona is a flexible and intelligent monitoring platform for AI / ML. Data science teams leverage Mona’s powerful analytical engine to gain granular insights about the behavior of their data and models, and detect issues within specific segments of data, in order to reduce business risk and pinpoint areas that need improvements. Mona enables tracking custom metrics for any AI use case within any industry and easily integrates with existing tech stacks. In 2018, we ventured on a mission to empower data teams to make AI more impactful and reliable, and to raise the collective confidence of business and technology leaders in their ability to make the most out of AI. We have built the leading intelligent monitoring platform to provide data and AI teams with continuous insights to help them reduce risks, optimize their operations, and ultimately build more valuable AI systems. Enterprises in a variety of industries leverage Mona for NLP/NLU, speech, computer vision, and machine learning use cases. Mona was founded by experienced product leaders from Google and McKinsey&Co, is backed by top VCs, and is HQ in Atlanta, Georgia. In 2021, Mona was recognized by Gartner as a Cool Vendor in AI Operationalization and Engineering.

Ensure your competitors are not taken advantage of by your reliable operational, strategic and tactical knowledge. Research People and Organizations from one source with the most accurate data. AI-based Image Analysis tools. Keep your personal and corporate data safe with the most comprehensive Data Breaches sources. Increase efficiency of Due Diligence processes. Knowing the names of corrupt actors can reduce business risk. Effect Group is a group of Cyber Security Specialists, Cyber Researchers, and Programmers. It was formed in response to the need to reduce time and resources required for Information Gathering and re-allocate these resources in Research and Strategic Planning Processes.

Our cloud account connections (AWS, Azure, and GCP) are easy to establish with our agentless data discovery platform and scanning platform. There is nothing to install or manage. All native cloud data stores are supported, whether they are structured or unstructured. Normalyze scans your cloud accounts for both structured and unstructured data. It only collects metadata to be added to the Normalyze graph. During scanning, no sensitive data is collected. A graph of trust and access relationships is displayed in real-time. It includes fine-grained context, process names, data store fingerprints, IAM role and policies. Locate all sensitive data stores, identify all access paths, and score possible breach paths based upon sensitivity, volume, or permissions. This will allow you to quickly show all breaches that are waiting to happen. Identify sensitive data-based industry profiles like PCI, HIPAA and GDPR.

No-code robots for data retrieval and monitoring. Your personal robot army for automating work processes and routines. Automate repetitive tasks using our pre-built and custom tools. Extract information from websites and save it in well-structured files that can be used for analysis. Monitor inventory and prices to beat your competitors. Monitor your metrics and receive timely reports when things go wrong. Collaborate effortlessly on your projects together. Our dev team will create custom tools for your company. Only share data and custom bots with employees of your company. Streamline data using your preferred channels and messaging platforms. Forward notifications, alerts, and data files (Excel CSV or JSON). Developer? Use our Bot API to create complex integrations! Extract contact information, e.g. Emails, phone numbers, and links to social networking sites are extracted from a list. Finds all email addresses with the same domain.

Get the best B2B data delivered on terms that suit your business. It's available, flexible, and ready to help you accelerate your business. Our data reliability is 10x higher than other alternatives due to our best-in-class match rates and match accuracy, fill rate, fill rate, as well as fill accuracy. You can identify customers across channels and infuse CRM, MAP, cloud warehouse, and other systems with the most accurate, actionable data. Our patented technology allows you to tap into our global database of companies, from the smallest company to the largest enterprise. It includes firmographics, hierarchies and technographic. With the best contact data, streaming intent, scoops, and other data available, you can get more than just company data. You can integrate comprehensive B2B data in any system or workflow using cloud data shares, flat files, APIs or orchestration apps.

Data-driven computational pipelines. Nextflow allows for reproducible and scalable scientific workflows by using software containers. It allows adaptation of scripts written in most common scripting languages. Fluent DSL makes it easy to implement and deploy complex reactive and parallel workflows on clusters and clouds. Nextflow was built on the belief that Linux is the lingua Franca of data science. Nextflow makes it easier to create a computational pipeline that can be used to combine many tasks. You can reuse existing scripts and tools. Additionally, you don't have to learn a new language to use Nextflow. Nextflow supports Docker, Singularity and other containers technology. This, together with integration of the GitHub Code-sharing Platform, allows you write self-contained pipes, manage versions, reproduce any configuration quickly, and allow you to integrate the GitHub code-sharing portal. Nextflow acts as an abstraction layer between the logic of your pipeline and its execution layer.

High performance, fully managed and hosted PostgreSQL. All the extensions you need right out of the box. You can set up fully managed PostgreSQL within 10 minutes using our web console, or programmatically via our API or CLI, Terraform provider, or Kubernetes operators. Stand-by nodes can be used as read replicas. You can also create additional read replicas in other public clouds or regions. Our Point-In-Time-Recovery lets you restore your data to any time within your selected retention period. Fully managed SQL relational database that can be deployed in the cloud of choice. It is known for its reliability, robust features, and exceptional performance. It can be used in almost any situation, including creating location-based services, mission-critical business applications, or as a general transactional data base.

Create a scalable architecture that treats data products as first-class citizens. Automate and repurpose data products. Enable compliance and robust data governance. Control the costs of your data products and pipelines for Snowflake. This global pharmaceutical giant's data product teams can benefit from next-generation analytics using self-service data and analytics infrastructure that includes Snowflake and other tools that use a data mesh approach. The DataOps.live platform allows them to organize and benefit from next generation analytics. DataOps is a unique way for development teams to work together around data in order to achieve rapid results and improve customer service. Data warehousing has never been paired with agility. DataOps is able to change all of this. Governance of data assets is crucial, but it can be a barrier to agility. Dataops enables agility and increases governance. DataOps does not refer to technology; it is a way of thinking.

The AI Knowledge Platform. The Pinecone Database, Inference, and Assistant make building high-performance vector search apps easy. Fully managed and developer-friendly, the database is easily scalable without any infrastructure problems. Once you have vector embeddings created, you can search and manage them in Pinecone to power semantic searches, recommenders, or other applications that rely upon relevant information retrieval. Even with billions of items, ultra-low query latency Provide a great user experience. You can add, edit, and delete data via live index updates. Your data is available immediately. For more relevant and quicker results, combine vector search with metadata filters. Our API makes it easy to launch, use, scale, and scale your vector searching service without worrying about infrastructure. It will run smoothly and securely.

We've been working on Generative AI for 5 years. Deep Lake combines the power and flexibility of vector databases and data lakes to create enterprise-grade LLM-based solutions and refine them over time. Vector search does NOT resolve retrieval. You need a serverless search for multi-modal data including embeddings and metadata to solve this problem. You can filter, search, and more using the cloud, or your laptop. Visualize your data and embeddings to better understand them. Track and compare versions to improve your data and your model. OpenAI APIs are not the foundation of competitive businesses. Your data can be used to fine-tune LLMs. As models are being trained, data can be efficiently streamed from remote storage to GPUs. Deep Lake datasets can be visualized in your browser or Jupyter Notebook. Instantly retrieve different versions and materialize new datasets on the fly via queries. Stream them to PyTorch, TensorFlow, or Jupyter Notebook.

We will manage your visual data so you can focus on creating amazing products. Our platform allows for seamless integration with a variety of data sources, including local disks, network files systems, and major cloud providers like AWS, GCP, Azure, and others. Visual Layer scans all your data, whether it is 10K or 50B images. It continuously alerts you to any quality issues. Data management is made easy and efficient with our platform's automated resolution of data quality issues. Data quality issues can be resolved quickly and accurately with automatic resolution capabilities. Resolve all data quality issues effortlessly and automatically. Automatically identify data quality issues and gain valuable insights. Ingest data from any sources seamlessly. Visual Layer in the cloud. Save up to 95% on your labeling costs Manage billions of images, videos and other media.

AI unlocks customer insights 10x faster. In seconds, you can understand pain points, desires and behaviors. Prioritize problems based on key signals. Save hours spent manually analyzing data. Interviews, surveys, NPS. Supports docx (docx), csv (csv), pdf, mp3, mp4, and mp4. Our AI finds patterns and insights relevant to your data. We'll send you a link so that you can visualize and share your insights. Insight7 extracts themes, sentiments, and insights. Visualize and share insights. Identify pain points and desires 10x faster. Visualize opportunities and prioritize in seconds. Save money and time on research and development. You can get instant answers to questions such as "What features should I prioritize?" by analyzing up to 50 documents with just one click. Instantly discover the top complaints about user experience. Use insights to prioritize improvements in usability. In one click, identify opportunities to improve the user experience.

Reframe your perception of time with data analytics. Instantly access the data of your business and work directly in your dashboard, without having to go back and forth with your IT team. Indexima DataHub is a new space where operational and functional users can instantly access their data. Indexima's unique indexing engine, combined with machine learning, allows businesses to quickly and easily access their data. The robust and scalable solution allows businesses to query their data directly from the source in volumes of up to tens billions of rows within milliseconds. With our Indexima platform, users can implement instant analytics for all their data with just one click. Indexima’s new ROI and TCO Calculator will help you determine the ROI of your data platform in just 30 seconds. Infrastructure costs, project deployment times, and data engineering cost, while boosting analytical performances.

Datafi is a platform that provides a unified data environment for business teams. It integrates data silos, unifies data security, and enables self-service workflows to meet the unique needs of business users who want to find, use, or share the information they need. Datafi is used by customers to increase their organization's data capabilities, and empower more employees to make better and faster data-driven decision. Datafi makes data easily accessible and meaningful to everyone. Know how your data will be accessed and used. Data-forward companies know how important it is to enable their data to drive business outcomes. This starts with enabling easy and secure data access. Data-driven insights can lead to new business outcomes. Organizations that improve their data literacy will be more likely to discover these data-driven insights.

Data engineering workflows that are powerful, but without the headaches of infrastructure. Simple, reusable Python is used to define complex streaming, scheduling and data backfill pipelines. Fetch all your data in real time, no matter how complicated. Deep learning and LLMs can be used to make decisions along with structured business data. Don't pay vendors for data that you won't use. Instead, query data right before online predictions. Experiment with Jupyter and then deploy into production. Create new data workflows and prevent train-serve skew in milliseconds. Instantly monitor your data workflows and track usage and data quality. You can see everything you have computed, and the data will replay any information. Integrate with your existing tools and deploy it to your own infrastructure. Custom hold times and withdrawal limits can be set.

Owning your SaaS-data is easy with the Own Data platform. It allows you to ensure availability, compliance and security of mission critical data, and unlocks new opportunities to transform your business. SaaS applications help make data more secure, accessible, and safer. They have not increased its value for you. It's no secret that your business is more complex than ever, and managing and getting insights out of your data is not easy. You are limited by what your SaaS providers allow you to do with your data. Understanding data exposure risks will help you to strengthen your Salesforce security posture. Protect your data using automated backups, proactive notifications in the event of loss or corruption and easy-to use recovery tools. Seed quality data quickly into any sandbox, sub-prod, or development environment for testing, training, and development purposes. Archive outdated data from production environments in order to avoid overage costs, improve the performance, and ensure compliance.

StreamNative redefines the streaming infrastructure by integrating Kafka MQ and other protocols into a unified platform that provides unparalleled flexibility and efficiency to modern data processing requirements. StreamNative is a unified platform that adapts to diverse streaming and messaging requirements in a microservices environment. StreamNative's comprehensive and intelligent approach to streaming and messaging empowers organizations to navigate with efficiency and agility the complexity and scalability in the modern data ecosystem. Apache Pulsar’s unique architecture decouples message storage from the message serving layer, resulting in a cloud-native data streaming platform. Scalable and elastic, allowing it to adapt to changing business needs and event traffic. Scale up to millions of topics using architecture that decouples computing from storage.

Hydrolix is a streaming lake of data that combines decoupled archiving, indexed searching, and stream processing for real-time query performance on terabyte scale at a dramatically lower cost. CFOs love that data retention costs are 4x lower. Product teams appreciate having 4x more data at their disposal. Scale up resources when needed and down when not. Control costs by fine-tuning resource consumption and performance based on workload. Imagine what you could build if you didn't have budget constraints. Log data from Kafka, Kinesis and HTTP can be ingested, enhanced and transformed. No matter how large your data, you will only get the data that you need. Reduce latency, costs, and eliminate timeouts and brute-force queries. Storage is decoupled with ingest and queries, allowing them to scale independently to meet performance and cost targets. Hydrolix's HDX (high-density compress) reduces 1TB to 55GB.

It's open source and can crawl any website, convert it to clean markdown data or structured data. No sitemap required. We crawl all subpages accessible and provide you with a clean markdown. Enhance your application with web scraping and crawling features. Extract structured or markdown data from websites efficiently and quickly. You can navigate and retrieve data without a sitemap from all subpages. The best tools and workflows are already fully integrated. Start your journey for free, and scale up seamlessly as your project grows. Transparent and collaborative development. Join our community. Firecrawl crawls every subpage, even without sitemap. Firecrawl can gather data even if the website uses JavaScript for content rendering. Firecrawl produces clean, well-formatted Markdown that is ready to be used in LLM applications. Firecrawl orchestrates crawling in parallel to get the fastest results.

Postgres is the database for everything. Postgres is a community-driven open source database that offers all the benefits associated with cloud-native architecture. These include high availability, rolling upgrades, resource management and more. Deployment and configuration, management and optimization can be complicated. We take care of them so that you can concentrate on your application. No two organizations are the same. Use tools such as user tiers and ip lists to run securely in the cloud, or deploy your own environment. Developers deserve a beautiful, clear, and elegant UI. Our CLI-first system also puts the power of Postgres into your hands. Focus on your product and not your database. We optimize your entire environment, including hardware, Postgres configs and relevant extensions to give you the best possible performance for your workload. No hidden fees or unexpected up-charges. You only pay what you use. You can store as much data as you like and query as much information as you wish.