Best Data Management Software for PostgreSQL - Page 11

Compare the Top Data Management Software that integrates with PostgreSQL as of December 2025 - Page 11

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

  • 1
    ProxySQL

    ProxySQL

    ProxySQL

    ProxySQL is built with an advanced multi-core architecture to support hundreds of thousands of concurrent connections, multiplexed to thousands of servers. ProxySQL supports sharding by user, schema or table by means of the advanced query rule engine or through customized plugins. The development team no longer needs to rewrite queries generated by ORMs or packaged software, ProxySQL's query rewriting feature can modify SQL statements on the fly. Battle-tested doesn't even begin to cover it — ProxySQL is war-tested. Performance is the priority and the numbers prove it. ProxySQL is an open source high performance, high availability, database protocol aware proxy for MySQL and PostgreSQL. ProxySQL is a robust SQL proxy solution that acts as a pivotal bridge between database clients and servers, offering a plethora of features designed to streamline database operations. ProxySQL empowers organizations to harness the full potential of their database infrastructure.
  • 2
    CSVBox

    CSVBox

    CSVBox

    CSVBox is a CSV importer tool designed for web applications, SaaS platforms, and APIs, enabling users to add a CSV import widget to their apps in just a few minutes. It provides a sophisticated upload experience, allowing users to select a spreadsheet file, map CSV column headers to a predefined data model with automatic column-matching recommendations, and validate data directly within the widget to ensure clean and error-free uploads. The platform supports multiple file types, including CSV, XLSX, and XLS, and offers features such as smart column matching, client-side data validation, and progress bar uploads to enhance user confidence during the upload process. CSVBox also provides no-code configuration, enabling users to define their data model and validation rules through a dashboard without modifying existing code. Additionally, it offers import links to accept files without embedding the widget, custom attributes.
    Starting Price: $19 per month
  • 3
    dbWatch Control Center
    ​dbWatch Control Center is a comprehensive database farm monitoring and management solution that enables fast and efficient monitoring and management of databases, streamlining workflows, automating actions, and creating custom reports within a single platform. It supports monitoring on-premises, cloud, or hybrid environments. Key features include customizable dashboards, multi-site and hybrid cloud support, scalability, and security. It offers modules for onboarding, architecture, dashboards, integrations, management, monitoring, reports, secure access, automated maintenance, security and compliance, and SQL performance. Users can monitor all database instances in a single pane of glass, manage databases across all platforms from a single interface, and automate routine monitoring and maintenance tasks.
    Starting Price: $120 per month
  • 4
    Orchestra

    Orchestra

    Orchestra

    Orchestra is a Unified Control Plane for Data and AI Operations, designed to help data teams build, deploy, and monitor workflows with ease. It offers a declarative framework that combines code and GUI, allowing users to implement workflows 10x faster and reduce maintenance time by 50%. With real-time metadata aggregation, Orchestra provides full-stack data observability, enabling proactive alerting and rapid recovery from pipeline failures. It integrates seamlessly with tools like dbt Core, dbt Cloud, Coalesce, Airbyte, Fivetran, Snowflake, BigQuery, Databricks, and more, ensuring compatibility with existing data stacks. Orchestra's modular architecture supports AWS, Azure, and GCP, making it a versatile solution for enterprises and scale-ups aiming to streamline their data operations and build trust in their AI initiatives.
  • 5
    MatchX

    MatchX

    VE3 Global

    MatchX is an AI-powered data quality and matching platform that cleans, connects, and governs your data — without the manual struggle. It finds and fixes duplicates, inconsistencies, missing fields, and mismatches across systems, even in complex, unstructured sources like scanned documents. The result? You get clean, connected, and trusted data — ready for AI, analytics, automation, and everyday business decisions. MatchX offers a comprehensive AI-enhanced data quality and matching solution that revolutionizes how companies manage their information assets. By integrating powerful data ingestion capabilities and intelligent schema mapping, MatchX structures and validates data from diverse sources, including APIs, databases, and documents. The platform’s self-learning AI models automatically detect and correct inconsistencies, duplicates, and anomalies, ensuring data integrity without intensive manual intervention.
  • 6
    Olive

    Olive

    Olive

    Olive is an AI-powered platform that lets teams build full-stack internal tools and dashboards in minutes simply by describing what they need in natural language. It connects securely to your databases (PostgreSQL, MySQL, MongoDB, etc.) and third-party services (CRMs, analytics platforms, REST APIs), examines your schema, writes the necessary queries and application code, and deploys a polished, responsive web interface complete with data listing, filtering, editing and visualization components. Users can generate admin panels, CRM modules, support tools, inventory management systems, or any custom workflow without manual coding. Olive supports collaboration through organizational workspaces, role-based access controls, and single sign-on, while its progressive-web-app design delivers mobile-friendly experiences and offline access. An extensible API and prompt-engineering guidance allow advanced customization and integration into existing CI/CD pipelines.
  • 7
    OpenMetadata

    OpenMetadata

    OpenMetadata

    OpenMetadata is an open, unified metadata platform that centralizes all metadata for data discovery, observability, and governance in a single interface. It leverages a Unified Metadata Graph and 80+ turnkey connectors to collect metadata from databases, pipelines, BI tools, ML systems, and more, providing a complete data context that enables teams to search, facet, and preview assets across their entire estate. Its API‑ and schema‑first architecture offers extensible metadata entities and relationships, giving organizations precise control and customization over their metadata model. Built with only four core system components, the platform is designed for simple setup, operation, and scalable performance, allowing both technical and non‑technical users to collaborate on discovery, lineage, quality, observability, collaboration, and governance workflows without complex infrastructure.
  • 8
    Codd AI

    Codd AI

    Codd AI

    Codd AI solves one of the biggest problems in analytics: making data truly business-ready. Instead of teams spending weeks manually mapping schemas, building models, and defining metrics, Codd uses generative AI to automatically create a context-aware semantic layer that aligns technical data with your business language. That means business users can ask questions in plain English and get accurate, governed answers instantly—through BI tools, conversational AI, or any endpoint. With governance and auditability built in, Codd makes analytics faster, clearer, and more trustworthy. Codd AI ingests both technical metadata from your database, as well as business rules and logic to use AI to auto-generate the most comprehensive semantic layer. This semantic layer is embedded in an intelligent query agent to power natural language (NLP) conversational analytics or power traditional BI tools
    Starting Price: $25k per year
  • 9
    CData Connect AI
    CData’s AI offering is centered on Connect AI and associated AI-driven connectivity capabilities, which provide live, governed access to enterprise data without moving it off source systems. Connect AI is built as a managed Model Context Protocol (MCP) platform that lets AI assistants, agents, copilots, and embedded AI applications directly query over 300 data sources, such as CRM, ERP, databases, APIs, with a full understanding of data semantics and relationships. It enforces source system authentication, respects existing role-based permissions, and ensures that AI actions (reads and writes) follow governance and audit rules. The system supports query pushdown, parallel paging, bulk read/write operations, streaming mode for large datasets, and cross-source reasoning via a unified semantic layer. In addition, CData’s “Talk to your Data” engine integrates with its Virtuality product to allow conversational access to BI insights and reports.
  • 10
    Data Virtuality

    Data Virtuality

    Data Virtuality

    Connect and centralize data. Transform your existing data landscape into a flexible data powerhouse. Data Virtuality is a data integration platform for instant data access, easy data centralization and data governance. Our Logical Data Warehouse solution combines data virtualization and materialization for the highest possible performance. Build your single source of data truth with a virtual layer on top of your existing data environment for high data quality, data governance, and fast time-to-market. Hosted in the cloud or on-premises. Data Virtuality has 3 modules: Pipes, Pipes Professional, and Logical Data Warehouse. Cut down your development time by up to 80%. Access any data in minutes and automate data workflows using SQL. Use Rapid BI Prototyping for significantly faster time-to-market. Ensure data quality for accurate, complete, and consistent data. Use metadata repositories to improve master data management.
  • 11
    Mode

    Mode

    Mode Analytics

    Understand how users are interacting with your product and identify opportunity areas to inform your product decisions. Mode empowers one Stitch analyst to do the work of a full data team through speed, flexibility, and collaboration. Build dashboards for annual revenue, then use chart visualizations to identify anomalies quickly. Create polished, investor-ready reports or share analysis with teams for collaboration. Connect your entire tech stack to Mode and identify upstream issues to improve performance. Speed up workflows across teams with APIs and webhooks. Understand how users are interacting with your product and identify opportunity areas to inform your product decisions. Leverage marketing and product data to fix weak spots in your funnel, improve landing-page performance, and understand churn before it happens.
  • 12
    Astro by Astronomer
    For data teams looking to increase the availability of trusted data, Astronomer provides Astro, a modern data orchestration platform, powered by Apache Airflow, that enables the entire data team to build, run, and observe data pipelines-as-code. Astronomer is the commercial developer of Airflow, the de facto standard for expressing data flows as code, used by hundreds of thousands of teams across the world.
  • 13
    Heimdall Data

    Heimdall Data

    Heimdall Data

    The Heimdall Proxy is a data access layer for application developers, database administrators, and architects. Whether on-premise or cloud, our proxy deliver a faster, more scalable, and secure solution for their current SQL database. We give SQL visibility and performance across multi-vendor databases. Our proxy can be deployed as a transparent sidecar process. Our distributed deployment results in optimal performance and predictive scale. To implement a master writer and read replica architecture, application changes are required. Our proxy routes queries to the appropriate database instance. With replication lag detection, we can guarantee data consistency. Front-side to back-side connections are reduced by up to a 1000:1 ratio. You can limit connections based on per user and per database. This ensure fairness while protecting the database from being overwhelmed (respectively). Additionally, we support authentication and authorization via Active Directory integration.
  • 14
    Delphix

    Delphix

    Perforce

    Delphix is the industry leader in DataOps and provides an intelligent data platform that accelerates digital transformation for leading companies around the world. The Delphix DataOps Platform supports a broad spectrum of systems, from mainframes to Oracle databases, ERP applications, and Kubernetes containers. Delphix supports a comprehensive range of data operations to enable modern CI/CD workflows and automates data compliance for privacy regulations, including GDPR, CCPA, and the New York Privacy Act. In addition, Delphix helps companies sync data from private to public clouds, accelerating cloud migrations, customer experience transformation, and the adoption of disruptive AI technologies. Automate data for fast, quality software releases, cloud adoption, and legacy modernization. Source data from mainframe to cloud-native apps across SaaS, private, and public clouds.
  • 15
    MessageGears

    MessageGears

    MessageGears

    Use your modern data warehouse to power customer engagement and cross-channel marketing, opening a world of new possibilities for relevant, timely, personalized messaging that yields real results. Use all the data you have, not just what you’ve copied to your marketing cloud. Eliminate wasteful spending and send better messages across channels. MessageGears uses your data where it lives in the format it’s already in, giving you a full suite of enterprise marketing tools at a significantly lower cost of a typical marketing cloud. MessageGears Segment combines the power of an intuitive drag-and-drop segment builder with a segmentation engine that runs as fast as your data warehouse. MessageGears Message allows you to use any available data in any format to personalize messages to each of your customers at a scale that other email marketing providers can’t achieve.
  • 16
    Nucleon Database Master

    Nucleon Database Master

    Nucleon Software

    Nucleon Database Master is a modern, powerful, intuitive and easy to use database query, administration, and management software with a consistent and modern user interface. Database Master simplifies managing, monitoring, querying, editing, visualizing, designing relational and NoSQL DBMS. Database Master allows you to execute extended SQL, JQL and C# (Linq) query scripts, provides all database objects such as tables, views, procedures, packages, columns, indexes, relationships (constraints), collections, triggers and other database objects.
    Starting Price: $99 one-time payment
  • 17
    Striim

    Striim

    Striim

    Data integration for your hybrid cloud. Modern, reliable data integration across your private and public cloud. All in real-time with change data capture and data streams. Built by the executive & technical team from GoldenGate Software, Striim brings decades of experience in mission-critical enterprise workloads. Striim scales out as a distributed platform in your environment or in the cloud. Scalability is fully configurable by your team. Striim is fully secure with HIPAA and GDPR compliance. Built ground up for modern enterprise workloads in the cloud or on-premise. Drag and drop to create data flows between your sources and targets. Process, enrich, and analyze your streaming data with real-time SQL queries.
  • 18
    SecurEnds

    SecurEnds

    SecurEnds

    SecurEnds cloud software enables the world’s most forward-thinking companies to automate: User Access Reviews, Access Certifications, Entitlement Audits, Access Requests, and Identity Analytics. Load employee data from a Human Resources Management System (e.g., ADP, Workday, Ultipro, Paycom) using built-in SecurEnds connectors or files. Use built-in connectors and flex connectors to pull identities across enterprise applications (e.g., Active Directory, Salesforce, Oracle), databases (e.g., SQL Server, MySQL, PostreSQL), and cloud applications (e.g., AWS, Azure, Jira). Perform user access reviews by role or attribute as frequently as needed. Application owners can use delta campaigns to track any changes since the last campaign. Send remediation tickets directly to application owners to perform access updates. Auditors can also be granted access to review dashboards and remediations.
  • 19
    Mage Sensitive Data Discovery
    Uncover hidden sensitive data locations within your enterprise through Mage's patented Sensitive Data Discovery module. Find data hidden in all types of data stores in the most obscure locations, be it structured, unstructured, Big Data, or on the Cloud. Leverage the power of Artificial Intelligence and Natural Language Processing to uncover data in the most complex of locations. Ensure efficient identification of sensitive data with minimal false positives with a patented approach to data discovery. Configure any additional data classifications over and above the 70+ out of the box data classifications covering all popular PII and PHI data. Schedule sample, full, or even incremental scans through a simplified discovery process.
  • 20
    Visual KPI

    Visual KPI

    Transpara

    Real-time operations monitoring and data visualization, including KPIs, dashboards, trends, analytics, hierarchy and alerts. Aggregates all of your data sources (industrial, IoT, business, external, etc.) on the fly without moving the data, and displays it in real-time with obvious context on any device.
  • 21
    Aircloak Insights
    Aircloak Insights is a transparent proxy sitting between analysts and the sensitive data they need to work with. Analysts query the system like normal, using SQL or dashboards like Tableau. Aircloak Insights intercepts the query and tailors it to the data backend which may be SQL or a NoSQL big data store. Results are returned via the proxy which ensures they are aggregated and fully anonymized. Aircloak Insights integrates directly in your existing workflow. You can query your sensitive datasets using the query editor in our easy-to-use web interface, Insights Air, or connect using business intelligence tools like Tableau or any other tools or dashboards that know how to communicate using the Postgres Message Protocol. Aircloak Insights also allows you to run queries programmatically using a RESTful API.
  • 22
    Altinity

    Altinity

    Altinity

    Altinity's expert engineering team can implement everything from core ClickHouse features to Kubernetes operator behavior to client library improvements. A flexible docker-based GUI manager for ClickHouse that can do the following: Install ClickHouse clusters; Add, delete, and replace nodes; Monitor cluster status; Help with troubleshooting and diagnostics. 3rd party tools and software integrations: Ingest: Kafka, ClickTail; APIs: Python, Golang, ODBC, Java; Kubernetes; UI tools: Grafana, Superset, Tabix, Graphite; Databases: MySQL, PostgreSQL; BI tools: Tableau and many more. Altinity.Cloud incorporates lessons from helping hundreds of customers operate ClickHouse-based analytics. Altinity.Cloud has a Kubernetes-based architecture that delivers portability and user choice of where to operate. Designed from the beginning to run anywhere without lock-in. Cost management is critical for SaaS businesses.
  • 23
    Nightfall

    Nightfall

    Nightfall

    Discover, classify, and protect your sensitive data. Nightfall™ uses machine learning to identify business-critical data, like customer PII, across your SaaS, APIs, and data infrastructure, so you can manage & protect it. Integrate in minutes with cloud services via APIs to monitor data without agents. Machine learning classifies your sensitive data & PII with high accuracy, so nothing gets missed. Setup automated workflows for quarantines, deletions, alerts, and more - saving you time and keeping your business safe. Nightfall integrates directly with all your SaaS, APIs, and data infrastructure. Start building with Nightfall’s APIs for sensitive data classification & protection for free. Via REST API, programmatically get structured results from Nightfall’s deep learning-based detectors for things like credit card numbers, API keys, and more. Integrate with just a few lines of code. Seamlessly add data classification to your applications & workflows using Nightfall's REST API.
  • 24
    IBM Databand
    Monitor your data health and pipeline performance. Gain unified visibility for pipelines running on cloud-native tools like Apache Airflow, Apache Spark, Snowflake, BigQuery, and Kubernetes. An observability platform purpose built for Data Engineers. Data engineering is only getting more challenging as demands from business stakeholders grow. Databand can help you catch up. More pipelines, more complexity. Data engineers are working with more complex infrastructure than ever and pushing higher speeds of release. It’s harder to understand why a process has failed, why it’s running late, and how changes affect the quality of data outputs. Data consumers are frustrated with inconsistent results, model performance, and delays in data delivery. Not knowing exactly what data is being delivered, or precisely where failures are coming from, leads to persistent lack of trust. Pipeline logs, errors, and data quality metrics are captured and stored in independent, isolated systems.
  • 25
    ER/Studio Enterprise Team Edition

    ER/Studio Enterprise Team Edition

    IDERA, an Idera, Inc. company

    ER/Studio Enterprise Team Edition helps data modelers and architects to design and share data models and metadata across the enterprise. Unlike its competition, it provides a complete solution for enterprise architecture and data governance, extensive model change management, unique incorporation of true enterprise data dictionaries, unique linking of constructs across models, integrated visual data lineage import, and integrated data and business process modeling.
  • 26
    AsparaDB

    AsparaDB

    Alibaba

    ApsaraDB for Redis is an automated and scalable tool for developers to manage data storage shared across multiple processes, applications or servers. As a Redis protocol compatible tool, ApsaraDB for Redis offers exceptional read-write capabilities and ensures data persistence by using memory and hard disk storage. ApsaraDB for Redis provides data read-write capabilities at high speed by retrieving data from in-memory caches and ensures data persistence by using both memory and hard disk storage mode. ApsaraDB for Redis supports advanced data structures such as leaderboard, counting, session, and tracking, which are not readily achievable through ordinary databases. ApsaraDB for Redis also has an enhanced edition called "Tair" . Tair has officially handled the data caching scenarios of Alibaba Group since 2009 and has proven its outstanding performance in scenarios such as Double 11 Shopping Festival.
  • 27
    TiMi

    TiMi

    TIMi

    With TIMi, companies can capitalize on their corporate data to develop new ideas and make critical business decisions faster and easier than ever before. The heart of TIMi’s Integrated Platform. TIMi’s ultimate real-time AUTO-ML engine. 3D VR segmentation and visualization. Unlimited self service business Intelligence. TIMi is several orders of magnitude faster than any other solution to do the 2 most important analytical tasks: the handling of datasets (data cleaning, feature engineering, creation of KPIs) and predictive modeling. TIMi is an “ethical solution”: no “lock-in” situation, just excellence. We guarantee you a work in all serenity and without unexpected extra costs. Thanks to an original & unique software infrastructure, TIMi is optimized to offer you the greatest flexibility for the exploration phase and the highest reliability during the production phase. TIMi is the ultimate “playground” that allows your analysts to test the craziest ideas!
  • 28
    Truedat

    Truedat

    Bluetab Solutions

    Truedat is an open source data governance business solution tool developed by Bluetab Solutions in order to help our clients become data-driven companies. We help to define business processes, roles & responsibilities. We also help putting processes into practice. Integration and customization of truedat´s open source components to support the data governance processes. We guarantee the support and maintenance of the process & software of our solution modules installed by us. Based on our experience in, we have developed a solution that covers the need for Data Governance, allowing to manage and control highly complex and changing data architectures. The highly increasing migration of enterprise IT platforms to cloud, multi-cloud and hybrid architectures, increases the sources, complexity and types of data and therefore rises the need for truedat. Our solution comes from more than 8 years of experience in Data Governance consulting and development projects.
  • 29
    Privacera

    Privacera

    Privacera

    At the intersection of data governance, privacy, and security, Privacera’s unified data access governance platform maximizes the value of data by providing secure data access control and governance across hybrid- and multi-cloud environments. The hybrid platform centralizes access and natively enforces policies across multiple cloud services—AWS, Azure, Google Cloud, Databricks, Snowflake, Starburst and more—to democratize trusted data enterprise-wide without compromising compliance with regulations such as GDPR, CCPA, LGPD, or HIPAA. Trusted by Fortune 500 customers across finance, insurance, retail, healthcare, media, public and the federal sector, Privacera is the industry’s leading data access governance platform that delivers unmatched scalability, elasticity, and performance. Headquartered in Fremont, California, Privacera was founded in 2016 to manage cloud data privacy and security by the creators of Apache Ranger™ and Apache Atlas™.
  • 30
    Microsoft Power Query
    Power Query is the easiest way to connect, extract, transform and load data from a wide range of sources. Power Query is a data transformation and data preparation engine. Power Query comes with a graphical interface for getting data from sources and a Power Query Editor for applying transformations. Because the engine is available in many products and services, the destination where the data will be stored depends on where Power Query was used. Using Power Query, you can perform the extract, transform, and load (ETL) processing of data. Microsoft’s Data Connectivity and Data Preparation technology that lets you seamlessly access data stored in hundreds of sources and reshape it to fit your needs—all with an easy to use, engaging, no-code experience. Power Query supports hundreds of data sources with built-in connectors, generic interfaces (such as REST APIs, ODBC, OLE, DB and OData) and the Power Query SDK to build your own connectors.