Best Data Management Software for Google Cloud Platform

Navicat Data Modeller is a powerful, cost-effective database design tool that helps you create high-quality conceptual and logical data models. It can be used to create database structures, reverse/forward engineer processes, import models directly from ODBC data sources, create complex SQL/DDL, and print models to files. It makes it easy to create complex entity relationship models. You can also generate script SQL in just one click. Navicat Data Modeler supports many database systems including MySQL, MariaDB and Oracle, SQL Servers, PostgreSQL and SQLite. Professional object designers are available for Tables or Views. They can help you create, modify, and design models. You'll always know what you are doing, even if you don't need to write complex SQL. Navicat Data Modeler also supports three standard notations: Crow's Foot (IDEF1x), UML (Unified Modeling Language) and UML.

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.

Discover new insights, answer more questions and make better decisions. When you can start your next project with just a click, you won't let any question pass by. You can start by asking your colleagues or Observable's global network of analysis and visualization experts to fork any project. Drop-in any of Observable's visualization or UI components, and write custom code alongside any JavaScript libraries. You can build whatever you like. Comment and suggest changes. Join your colleagues for an ad-hoc live programming session. Get advice from the best in our forum. Viewers can see a private notebook shared with them but cannot make any changes. Editors have the ability to make changes, collaborate and control access to the notebook. Viewers can however fork a notebook to edit their own version. Your code can be downloaded as native JavaScript modules and will run anywhere that uses the open-source Observable runtime.

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.

Visualize data from your historians, SCADA & IoT devices and make them usable for the entire workforce. From field workers to data scientists. Explore data like never before. All your industrial data can be integrated, organized, collaborated and visualized in one tool. Streaming data timeline technology allows you to quickly navigate and visualize hundreds upon thousands of data signals simultaneously without losing sight or performance. Tag any member of your team to create a thread or log incidents directly in the data timeline. You can add media such as images and videos to give context. To avoid solving the same problem twice, search and view past activities. Our permission system ensures that only you have access. Developer-friendly documentation is available and secure APIs make it easy to use. Accessible in any modern browser, whether you're using a tablet, a mobile phone, or a workstation. Our native mobile apps let you take industrial data with your on-the-go.

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.

All your ELT data pipelines, including custom ones, will be up and running in minutes. Your team can focus on innovation and insights. Unify all your data integration pipelines with one open-source ELT platform. Airbyte can meet all the connector needs of your data team, no matter how complex or large they may be. Airbyte is a data integration platform that scales to meet your high-volume or custom needs. From large databases to the long tail API sources. Airbyte offers a long list of connectors with high quality that can adapt to API and schema changes. It is possible to unify all native and custom ELT. Our connector development kit allows you to quickly edit and create new connectors from pre-built open-source ones. Transparent and scalable pricing. Finally, transparent and predictable pricing that scales with data needs. No need to worry about volume. No need to create custom systems for your internal scripts or database replication.

Ascend provides data teams with a unified platform that allows them to ingest and transform their data and create and manage their analytics engineering and data engineering workloads. Ascend is supported by DataAware intelligence. Ascend works in the background to ensure data integrity and optimize data workloads, which can reduce maintenance time by up to 90%. Ascend's multilingual flex-code interface allows you to use SQL, Java, Scala, and Python interchangeably. Quickly view data lineage and data profiles, job logs, system health, system health, and other important workload metrics at a glance. Ascend provides native connections to a growing number of data sources using our Flex-Code data connectors.

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.

All in one place, create beautiful forms, access-controlled database, and highly customizable business applications. To create your perfect application, you can connect building blocks like forms, tables, lists and charts to create powerful relational databases. You can power your data collection with simple, but powerful online forms that don’t require any programming. You can capture leads, create workflows and collect payments. Your workspace can be divided into different departments, clients, projects, and teams. Securely access your team members and collaborate more effectively in real-time. Do not settle for generic software that doesn't suit your business. You can quickly create custom interfaces that allow you to access your business's data without the need for developers. Connect your workflow with thousands of apps and services like Google, Salesforce, Salesforce, Slack, and many more.

Apache Kafka is a fully managed service that offers zero vendor lock-in, as well as all the capabilities you need to build your streaming infrastructure. You can easily set up fully managed Kafka within 10 minutes using our web console, or programmatically through our API, CLI or Terraform provider. Connect it to your existing tech stack using over 30 connectors. You can feel confident in your setup thanks to the service integrations that provide logs and metrics. Fully managed distributed data streaming platform that can be deployed in any cloud. Event-driven applications, near real-time data transfer and pipelines and stream analytics are all possible uses for this platform. Aiven's Apache Kafka is hosted and managed for you. You can create clusters, migrate clouds, upgrade versions, and deploy new nodes all with a single click. All this and more through a simple dashboard.

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.

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.

View the impact of data issues in real time without running SQL. We analyze your logs to identify freshness anomalies and volume, schema changes, pipeline errors and their impact on your business. Masthead monitors each table, script, process and dashboard in your data warehouse, as well as the connected BI tools, for anomalies. It alerts data teams in real-time if data failures happen. Masthead shows data anomalies, pipeline errors and their implications on data consumers. Masthead maps lineage data issues, so you can troubleshoot in minutes, not hours. It was a game changer for us to get a comprehensive overview of all processes within GCP without having to give access our data. It saved us time and money. You can now see the cost of every pipeline in your cloud, irrespective of whether it is ETL. Masthead has AI-powered recommendations that can help you optimize your queries and models. Masthead can be connected to your data warehouse in 15 minutes.

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.

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.