Best Data Management Software for PostgreSQL - Page 10
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Compare the Top Data Management Software that integrates with PostgreSQL as of July 2025 - Page 10
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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.
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1
Hydra
Hydra
Hydra is an open source, column-oriented Postgres. Query billions of rows instantly, no code changes. Hydra parallelizes and vectorizes aggregates (COUNT, SUM, AVG) to deliver the speed you’ve always wanted on Postgres. Boost performance at every size! Set up Hydra in 5 minutes without changing your syntax, tools, data model, or extensions. Use Hydra Cloud for fully managed operations and smooth sailing. Different industries have different needs. Get better analytics with powerful Postgres extensions, custom functions, and take control. Built by you, for you. Hydra is the fastest Postgres in the market for analytics. Boost performance with columnar storage, vectorization, and query parallelization. -
2
DataChannel
DataChannel
Unify data from 100+ sources so your team can deliver better insights, rapidly. Sync data from any data warehouse into business tools your teams prefer. Efficiently scale data ops using a single platform custom-built for all requirements of your data teams and save up to 75% of your costs. Don't want the hassle of managing a data warehouse? We are the only platform that offers an integrated managed data warehouse to meet all your data management needs. Select from a growing library of 100+ fully managed connectors and 20+ destinations - SaaS apps, databases, data warehouses, and more. Completely secure granular control over what data to move. Schedule and transform your data for analytics seamlessly in sync with your pipelines.Starting Price: $250 per month -
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DOT Anonymizer
DOT Anonymizer
Mask your personal data while ensuring it looks and acts like real data. Software development needs realistic test data. DOT Anonymizer masks your test data while ensuring its consistency, across all your data sources and DBMS. The use of personal or identifying data outside of production (development, testing, training, BI, external service providers, etc.) carries a major risk of data leak. Increasing regulations across the world require companies to anonymize/pseudonymize personal or identifying data. Anonymization enables you to retain the original data format. Your teams work with fictional but realistic data. Manage all your data sources and maintain their usability. Invoke DOT Anonymizer functions from your own applications. Consistency of anonymizations across all DBMS and platforms. Preserve relations between tables to guarantee realistic data. Anonymize all database types and files like CSV, XML, JSON, etc.Starting Price: €488 per month -
4
Chalk
Chalk
Powerful data engineering workflows, without the infrastructure headaches. Complex streaming, scheduling, and data backfill pipelines, are all defined in simple, composable Python. Make ETL a thing of the past, fetch all of your data in real-time, no matter how complex. Incorporate deep learning and LLMs into decisions alongside structured business data. Make better predictions with fresher data, don’t pay vendors to pre-fetch data you don’t use, and query data just in time for online predictions. Experiment in Jupyter, then deploy to production. Prevent train-serve skew and create new data workflows in milliseconds. Instantly monitor all of your data workflows in real-time; track usage, and data quality effortlessly. Know everything you computed and data replay anything. Integrate with the tools you already use and deploy to your own infrastructure. Decide and enforce withdrawal limits with custom hold times.Starting Price: Free -
5
Zerve AI
Zerve AI
Merging the best of a notebook and an IDE into one integrated coding environment, experts can explore their data and write stable code at the same time with fully automated cloud infrastructure. Zerve’s data science development environment gives data science and ML teams a unified space to explore, collaborate, build, and deploy data science & AI projects like never before. Zerve offers true language interoperability, meaning that as well as being able to use Python, R, SQL, or Markdown all in the same canvas, users can connect these code blocks to each other. No more long-running code blocks or containers, with Zerve enjoying unlimited parallelization at any stage of the development journey. Analysis artifacts are automatically serialized, versioned, stored, and preserved for later use, meaning easily changing a step in the data flow without needing to rerun any preceding steps. Fine-grained selection of compute resources and extra memory for complex data transformation. -
6
Baidu Sugar
Baidu AI Cloud
Sugar will charge fees according to the organization. A user can belong to multiple organizations, and there are multiple users in an organization. Multiple spaces can be created under the organization. Generally, it is recommended to divide spaces according to projects or teams. Data between spaces is not shared. Each space has its own independent permission management. When you use Sugar to analyze and visualize data, you need to specify the data source of the original data. Data source is the place where data is stored. Generally, it refers to the connection address (host, port, user name, password, etc.) of the database. A dashboard is a kind of visual page type, that mainly reflects cool visual effect, and is generally used to put on the large screen for real-time data visualization.Starting Price: $0.33 per year -
7
Pathway
Pathway
Pathway is a Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG. Pathway comes with an easy-to-use Python API, allowing you to seamlessly integrate your favorite Python ML libraries. Pathway code is versatile and robust: you can use it in both development and production environments, handling both batch and streaming data effectively. The same code can be used for local development, CI/CD tests, running batch jobs, handling stream replays, and processing data streams. Pathway is powered by a scalable Rust engine based on Differential Dataflow and performs incremental computation. Your Pathway code, despite being written in Python, is run by the Rust engine, enabling multithreading, multiprocessing, and distributed computations. All the pipeline is kept in memory and can be easily deployed with Docker and Kubernetes. -
8
Onvo.ai
Onvo.ai
Say goodbye to endless customization requests and the frustration of dealing with SQL queries. Build beautiful dashboards to showcase your data in the time it takes to make a cup of coffee. Experience ultimate flexibility with our SDKs for intelligent data, with comprehensive features and seamless integration. Effortlessly craft integrated dashboards and data visualizations using our intuitive no-code widget. Seamlessly integrate using our dev-friendly SDKs or develop directly on our platform. Crafted with a strong focus on data privacy, our tools are built to keep your data on your systems. Leveraging AI, you can now create custom dashboards and data visualizations effortlessly using a simple prompt.Starting Price: $29 per month -
9
Yandex Data Transfer
Yandex
The service is easy to use, you don’t need to install any drivers, and the entire migration process is configured via the management console in just a few minutes. The service lets you keep your source database running and minimize the downtime of the apps that use it. The service restarts jobs itself if any problems occur. If it can’t continue from the desired point in time, it automatically returns to the previous migration stage. A service for migrating your databases from other cloud platforms or local databases to Yandex cloud-managed database services. You need to start a transfer, which is the process of transmitting data between two endpoints. The endpoints contain the settings of the source database you’re going to transfer the data from and those of the target database for your data. The Yandex Data Transfer service allows you to perform various types of transfers between source endpoints and target endpoints. -
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Managed Service for PostgreSQL helps you deploy and maintain PostgreSQL server clusters in the Yandex Cloud infrastructure. You can deploy a ready-to-use cluster in just a few minutes. DB settings are optimized for the selected cluster size and you can change them if necessary. If the load on your cluster increases, you can add new servers or increase their capacity in a matter of minutes. With a user-friendly interface and intuitive visualization, you can monitor the status of your PostgreSQL cluster and DB load. All DBMS connections are encrypted using the TLS protocol, and DB backups are GPG-encrypted. Data is secured in accordance with the requirements of local regulatory, GDPR, and ISO industry standards.Starting Price: $40.09 per month
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Foundational
Foundational
Identify code and optimization issues in real-time, prevent data incidents pre-deploy, and govern data-impacting code changes end to end—from the operational database to the user-facing dashboard. Automated, column-level data lineage, from the operational database all the way to the reporting layer, ensures every dependency is analyzed. Foundational automates data contract enforcement by analyzing every repository from upstream to downstream, directly from source code. Use Foundational to proactively identify code and data issues, find and prevent issues, and create controls and guardrails. Foundational can be set up in minutes with no code changes required. -
12
Onehouse
Onehouse
The only fully managed cloud data lakehouse designed to ingest from all your data sources in minutes and support all your query engines at scale, for a fraction of the cost. Ingest from databases and event streams at TB-scale in near real-time, with the simplicity of fully managed pipelines. Query your data with any engine, and support all your use cases including BI, real-time analytics, and AI/ML. Cut your costs by 50% or more compared to cloud data warehouses and ETL tools with simple usage-based pricing. Deploy in minutes without engineering overhead with a fully managed, highly optimized cloud service. Unify your data in a single source of truth and eliminate the need to copy data across data warehouses and lakes. Use the right table format for the job, with omnidirectional interoperability between Apache Hudi, Apache Iceberg, and Delta Lake. Quickly configure managed pipelines for database CDC and streaming ingestion. -
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Citus
Citus Data
Citus gives you the Postgres you love, plus the superpower of distributed tables. 100% open source. Now with schema-based and row-based sharding, plus Postgres 16 support. Scale Postgres by distributing data & queries. You can start with a single Citus node, then add nodes & rebalance shards when you need to grow. Speed up queries by 20x to 300x (or more) through parallelism, keeping more data in memory, higher I/O bandwidth, and columnar compression. Citus is an extension (not a fork) to the latest Postgres versions, so you can use your familiar SQL toolset & leverage your Postgres expertise. Reduce your infrastructure headaches by using a single database for both your transactional and analytical workloads. Download and use Citus open source for free. You can manage Citus yourself, embrace open source, and help us improve Citus via GitHub. Focus on your application & forget about your database. Run your app on Citus in the cloud with Azure Cosmos DB for PostgreSQL.Starting Price: $0.27 per hour -
14
Tarantool
Tarantool
Corporations need a way to ensure uninterrupted operation of their systems, high speed of data processing, and reliability of storage. The in-memory technologies have proven themselves well in solving these problems. For more than 10 years, Tarantool has been helping companies all over the world build smart caches, data marts, and golden client profiles while saving server capacity. Reduce the cost of storing credentials compared to siloed solutions and improve the service and security of client applications. Reduce data management costs of maintaining a large number of disparate systems that store customer identities. Increase sales by improving the speed and quality of customer recommendations for goods or services through the analysis of user behavior and user data. Improve mobile and web channel service by accelerating frontends to reduce user outflow. IT systems of large organizations operate in a closed loop of a local network, where data circulates unprotected. -
15
IBM watsonx.data
IBM
Put your data to work, wherever it resides, with the open, hybrid data lakehouse for AI and analytics. Connect your data from anywhere, in any format, and access through a single point of entry with a shared metadata layer. Optimize workloads for price and performance by pairing the right workloads with the right query engine. Embed natural-language semantic search without the need for SQL, so you can unlock generative AI insights faster. Manage and prepare trusted data to improve the relevance and precision of your AI applications. Use all your data, everywhere. With the speed of a data warehouse, the flexibility of a data lake, and special features to support AI, watsonx.data can help you scale AI and analytics across your business. Choose the right engines for your workloads. Flexibly manage cost, performance, and capability with access to multiple open engines including Presto, Presto C++, Spark Milvus, and more. -
16
Google Cloud Datastream
Google
Serverless and easy-to-use change data capture and replication service. Access to streaming data from MySQL, PostgreSQL, AlloyDB, SQL Server, and Oracle databases. Near real-time analytics in BigQuery. Easy-to-use setup with built-in secure connectivity for faster time-to-value. A serverless platform that automatically scales, with no resources to provision or manage. Log-based mechanism to reduce the load and potential disruption on source databases. Synchronize data across heterogeneous databases, storage systems, and applications reliably, with low latency, while minimizing impact on source performance. Get up and running fast with a serverless and easy-to-use service that seamlessly scales up or down, and has no infrastructure to manage. Connect and integrate data across your organization with the best of Google Cloud services like BigQuery, Spanner, Dataflow, and Data Fusion. -
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TapData
TapData
CDC-based live data platform for heterogeneous database replication, real-time data integration, or building a real-time data warehouse. By using CDC to sync production line data stored in DB2 and Oracle to the modern database, TapData enabled an AI-augmented real-time dispatch software to optimize the semiconductor production line process. The real-time data made instant decision-making in the RTD software a possibility, leading to faster turnaround times and improved yield. As one of the largest telcos, customer has many regional systems that cater to the local customers. By syncing and aggregating data from various sources and locations into a centralized data store, customers were able to build an order center where the collective orders from many applications can now be aggregated. TapData seamlessly integrates inventory data from 500+ stores, providing real-time insights into stock levels and customer preferences, enhancing supply chain efficiency. -
18
DataChain
iterative.ai
DataChain connects unstructured data in cloud storage with AI models and APIs, enabling instant data insights by leveraging foundational models and API calls to quickly understand your unstructured files in storage. Its Pythonic stack accelerates development tenfold by switching to Python-based data wrangling without SQL data islands. DataChain ensures dataset versioning, guaranteeing traceability and full reproducibility for every dataset to streamline team collaboration and ensure data integrity. It allows you to analyze your data where it lives, keeping raw data in storage (S3, GCP, Azure, or local) while storing metadata in inefficient data warehouses. DataChain offers tools and integrations that are cloud-agnostic for both storage and computing. With DataChain, you can query your unstructured multi-modal data, apply intelligent AI filters to curate data for training and snapshot your unstructured data, the code for data selection, and any stored or computed metadata.Starting Price: Free -
19
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. -
20
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 -
21
dbWatch Control Center
dbWatch
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 -
22
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. -
23
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. -
24
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. -
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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. -
26
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. -
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Astro by Astronomer
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. -
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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. -
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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. -
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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.