Best Data Management Software for PostgreSQL - Page 10
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Compare the Top Data Management Software that integrates with PostgreSQL as of November 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
CorralData
CorralData
CorralData is a full-service, AI-powered platform that radically simplifies unifying and analyzing data across multiple sources. With CorralData, you can access human data experts and industry-leading AI tools to easily and cost-effectively drive remarkable, data-fueled results. No coding, SQL, or engineering resources required. Here’s how CorralData works. First, unify all of your data sources using our 450+ pre-built data connectors. Our U.S.-based support team will guide you along the way. Then, begin instantly and securely unlocking powerful data insights using natural language AI questions. Or work directly with a human data expert to surface the insight you need. The CorralData platform includes everything you need to start using data to drive results in one simple, monthly subscription—stunning data visualization tools, built-in chat, custom reporting, and access to human experts. Schedule a free demo today and see how simple and easy AI-powered data can be.Starting Price: $200/month -
2
Datazenit
Datazenit
Modern database administration tool. Cross-platform MySQL and PostgreSQL GUI with data grid, schema builder, and interactive charts. Datazenit is a web-based database administration tool. It features a smart data grid, query builder, schema editor, live charts, and raw query editor with auto-complete. The goal is to build a modern and intelligent database tool that would increase productivity. The schema editor has been designed with developer productivity in mind. It is equipped with intelligent features similar to the ones you could find in an IDE. Users can choose to query data via a graphical user interface instead of a classic raw query editor. Query builder supports multiple conditions, sorting and more. Various chart styles can be used to create effective visualizations, like scatter, line, area, bar, and pie chart. Best of all, they can be shared or embedded. Enjoy an advanced data grid with different editors like text area, dropdown, checkbox, and a calendar.Starting Price: $49 one-time payment -
3
Toad Edge
Quest
If yours is one of the majority of organizations migrating your existing commercial database to open sources, such as MySQL or PostgreSQL, or if you’re building new in-house applications on open-source database management systems (OSDBMS), then you know that commercial tooling for these databases falls short. What if you could save money by implementing OSDBMS and ramp up quickly by working with a familiar toolset? You can with Toad Edge®. It’s a lightweight, reliable desktop toolset that simplifies development and management tasks for open-source databases. Using Toad for MySQL and PostgreSQL management makes it easier to master new database platforms quickly. If you’re taking on MariaDB, Amazon Redshift, or EDB Postgres Advanced Server, Toad Edge will simplify your work on those platforms as well. Toad Edge supports coding, editing, schema compare and sync, and DevOps CI processes, so you can manage your open-source databases easily and confidently. -
4
Kleene
Kleene
Easy data management to power your business. Connect, transform and visualize your data fast and in a scalable way. Kleene makes it easy to access all the data that lives in your SaaS software. Once the data is extracted, it is stored and organized in a cloud data warehouse. The data is cleaned and organized for analysis purposes. Easy to use dashboards to gain insights and make data-driven decisions to power your growth. Never waste time again building your own data pipelines. 150+ pre-built data connectors library. On-demand custom connector build. Always work with the most up-to-date data. Set up your data warehouse in minutes with no engineering required. Accelerate your data model building thanks to our unique transformation tooling. Best-in-class data pipeline observability and management. Access Kleene’s industry-leading dashboard templates. Level up your dashboards using our wide industry expertise. -
5
Bytebase
Bytebase
Bytebase offers a web-based collaboration workspace to help DBAs and developers manage the database development lifecycle. Standardize database changes with peer review, lint rules, and GitOps integration. Run ad-hoc SQL queries with built-in data privacy protection via web-based IDE. Eliminate administrative complexity and ensure compliance with holistic policy control. Bytebase streamlines database deployment from non-prod to prod with change review workflow and optional GitOps integration. 100+ lint rules to detect SQL anti-patterns and enforce consistent SQL style in the organization. Batch change to multiple databases across different environments and tenants in a single ticket. Reuse developer workflow and manage change scripts in VCS. Lockless schema change to reduce database downtime from hours to seconds. Bytebase employs a security-first approach to protect your data with access control, data anonymization, watermarking, audit log, and more.Starting Price: $100 per month -
6
Blindata
Blindata
Blindata covers all the functions of a Data Governance program: Business Glossary, Data Catalog & Data Lineage build an integrated and complete view on your Data. Data Classification module gives a semantic meaning to the data while the Data Quality, Issue Management & Data Stewardship modules improve the reliability and trust on data. Moreover, privacy compliance can leverage specific features: registry of processing activities, centralized privacy note management, consent registry with Blockchain integrated notarization. Blindata Agent can connect to different data sources, collecting metadata such data structures (Tables, Views, Fields, …), data quality metrics, reverse lineage, etc. Blindata has a modular and entirely API based architecture allowing systematic integration with the most critical business systems (DBMS, Active Directory, e-commerce, Data Platforms). Blindata is available as SaaS, can be installed “on Premise” or purchased on AWS Marketplace.Starting Price: $1000/year/user -
7
Embeddable
Embeddable
Build remarkable analytics experiences, in 10% of the time. Frustrated with your embedded analytics tool, or with maintaining a custom-built charts and dashboards in your app? Embeddable is a next-generation embedded analytics tool where you own the front-end code and we handle everything else, Enabling you to build fully-bespoke, fast-loading charts and dashboards in your app without the engineering costs. Delight your customers, reduce engineering overheads, and deliver your dream experience, fast. Compatible with all major databases. Cloud & Self-hosted. Multi-tenancy. Open source component library + more.Starting Price: On request -
8
MSSQL-to-PostgreSQL
Intelligent Converters
MSSQL-to-PostgreSQL is a program to migrate databases from SQL Server and Azure SQL to PostgreSQL on-premises or cloud DBMS. The program has high performance due to low-level algorithms of reading and writing data: more than 10 MB per second on an average modern system. Command line support allows to automate the migration process.Starting Price: $59 -
9
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. -
10
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 -
11
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 -
12
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 -
13
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. -
14
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 -
15
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. -
16
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 -
17
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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19
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. -
20
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. -
21
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 -
22
Brewit
Brewit
Make data-driven decisions 10x faster with self-service analytics. Integrate with your databases and data warehouses all-in-one place (Postgres, MySQL, Snowflake, BigQuery, and more). Brewit can write SQL queries and create recommended charts based on your data questions. It also helps you drill down on the analysis. Chat with your database, visualize insights, & perform analysis. Ensure answer accuracy and consistency with a built-in data catalog. An automated semantic layer that ensures Brewit answers with correct business logic. Easily manage your data catalog & data dictionary. Building a beautiful report is as easy as writing a doc. Data without a story is useless. Our Notion-style notebook editor allows you to create reports & dashboards easily, turning raw data into actionable insights. All organized data products are usable by anyone who has a data question, regardless of their technical skills. -
23
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. -
24
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. -
25
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. -
26
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. -
27
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 -
28
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. -
29
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 -
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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