Best Data Management Software for PostgreSQL - Page 12
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Compare the Top Data Management Software that integrates with PostgreSQL as of October 2025 - Page 12
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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
Dqlite
Canonical
Dqlite is a fast, embedded, persistent SQL database with Raft consensus that is perfect for fault-tolerant IoT and Edge devices. Dqlite (“distributed SQLite”) extends SQLite across a cluster of machines, with automatic failover and high-availability to keep your application running. It uses C-Raft, an optimised Raft implementation in C, to gain high-performance transactional consensus and fault tolerance while preserving SQlite’s outstanding efficiency and tiny footprint. C-Raft is tuned to minimize transaction latency. C-Raft and dqlite are both written in C for maximum cross-platform portability. Published under the LGPLv3 license with a static linking exception for maximum compatibility. Includes common CLI pattern for database initialization and voting member joins and departures. Minimal, tunable delay for failover with automatic leader election. Disk-backed database with in-memory options and SQLite transactions. -
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MySQL Workbench
Oracle
MySQL Workbench is a unified visual tool for database architects, developers, and DBAs. MySQL Workbench provides data modeling, SQL development, and comprehensive administration tools for server configuration, user administration, backup, and much more. MySQL Workbench is available on Windows, Linux and Mac OS X. MySQL Workbench enables a DBA, developer, or data architect to visually design, model, generate, and manage databases. It includes everything a data modeler needs for creating complex ER models, forward and reverse engineering, and also delivers key features for performing difficult change management and documentation tasks that normally require much time and effort. MySQL Workbench delivers visual tools for creating, executing, and optimizing SQL queries. The SQL Editor provides color syntax highlighting, auto-complete, reuse of SQL snippets, and execution history of SQL. The Database Connections Panel enables developers to easily manage standard database connections. -
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Postico
Postico
Postico is a database client. Postico can connect to a local PostgreSQL server running on your Mac, or to remote servers running on a different computer. If you want to install a local PostgreSQL server on your Mac, I recommend Postgres.app. Postgres.app starts a PostgreSQL server running locally on your Mac. The first time it starts it will automatically create a new data directory and set up an empty database. After a few moments, the server will be running and waiting for connections. Postgres.app can't start when another PostgreSQL server is already running on your computer. If you run into problems, make sure to deactivate or uninstall other PostgreSQL installations. Reboot your computer after uninstalling! To connect to a PostgreSQL server with Postico, you must first create a favorite. A favorite contains parameters for connecting to a server. Some connection parameters are optional. -
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Census
Census
Census is the operational analytics platform that syncs your data warehouse with all your favorite apps. Get your customer success, sales & marketing teams on the same page by keeping customer data in sync. No engineering favors required. Census automatically publishes SQL & dbt models from your warehouse without a line of code. Stop deciphering external APIs and maintaining custom scripts, just focus on the business outcomes. You don't want "yet another source of truth" when everything is already in your warehouse. Census works on top of your existing infrastructure. Just pick a destination app, map the data, and voila, you are done. Your data shouldn't be stuck in quarterly reports. Census empowers everyone in your business to take action. Live metrics in every app means better business operations, which leads to happier users & more revenue. -
5
Acceldata
Acceldata
Acceldata is an Agentic Data Management company helping enterprises manage complex data systems with AI-powered automation. Its unified platform brings together data quality, governance, lineage, and infrastructure monitoring to deliver trusted, actionable insights across the business. Acceldata’s Agentic Data Management platform uses intelligent AI agents to detect, understand, and resolve data issues in real time. Designed for modern data environments, it replaces fragmented tools with a self-learning system that ensures data is accurate, governed, and ready for AI and analytics. -
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Kepler
Stradigi AI
Leverage Kepler’s Automated Data Science Workflows and remove the need for coding and machine learning experience. Onboard quickly and generate data-driven insights unique to your organization and your data. Receive continuous updates & additional Workflows built by our world-class AI and ML team via our SaaS-based model. Scale AI and accelerate time-to-value with a platform that grows with your business using the team and skills already present within your organization. Address complex business problems with advanced AI and machine learning capabilities without the need for technical ML experience. Leverage state-of-the-art, end-to-end automation, an extensive library of AI algorithms, and the ability to quickly deploy machine learning models. Organizations are using Kepler to augment and automate critical business processes to improve productivity and agility. -
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The WSO2 integration runtime engine is capable of playing multiple roles in your enterprise architecture. It can act as an ESB or a microservices integrator. When deployed as an ESB, it caters to your message routing, transformation, message mediation, service orchestration, as well as service and API hosting needs. Header-based, content-based, rule-based, and priority-based routing. Implement Enterprise Integration Patterns (EIPs), database integration, event stream integrations. Transform messages with XSLT 1.0/2.0, XPath, XQuery, and Smooks. Visual data mapping, CSV, JSON, and XML transformation connectors. Supports any RDBMS, CSV, Excel, ODS, Cassandra, and Google spreadsheets. Supports OData v4 protocol for any RDBMS and Cassandra data sources. Supports MSSQL, DB2, Oracle, OpenEdge, TerraData, MySQL, PostgreSQL/EnterpriseDB, H2, Derby or any database with a JDBC driver. Support for nested queries across data sources.
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8
Jitsu
Jitsu
Jitsu is open-sourced under MIT-license. We support Heroku, Docker, Docker-Compose and many other ways of deployment. Jitsu is extremely easy to use: everything can be configured with a simple UI. See the list of all destinations supported by Jitsu. Destination is either a data warehouse (database) or an external service with an API. Jitsu delivers data into a destination in a reliable fashion: if destination is down, data will be kept in an internal persistent queue and sent to destination once it become online again. Jitsu applies geo resolution during enrichment. Geo resolution means determining user's country, city, zip code (and other location data) from their IP address. Jitsu Cloud is a SaaS version of our platform. All features from the open source version are available in the cloud product. Up to 250,000 events per month are included for free. -
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Amundsen
Amundsen
Discover & trust data for your analysis and models. Be more productive by breaking silos. Get immediate context into the data and see how others are using it. Search for data within your organization by a simple text search. A PageRank-inspired search algorithm recommends results based on names, descriptions, tags, and querying/viewing activity on the table/dashboard. Build trust in data using automated and curated metadata, descriptions of tables and columns, other frequent users, when the table was last updated, statistics, a preview of the data if permitted, etc. Easy triage by linking the ETL job and code that generated the data. Update tables and columns with descriptions, reduce unnecessary back and forth about which table to use and what a column contains. See what data fellow co-workers frequently use, own or have bookmarked. Learn what most common queries for a table look like by seeing dashboards built on a given table. -
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Apache Superset
Apache
Superset is fast, lightweight, intuitive, and loaded with options that make it easy for users of all skill sets to explore and visualize their data, from simple line charts to highly detailed geospatial charts. Superset can connect to any SQL based datasource through SQLAlchemy, including modern cloud native databases and engines at petabyte scale. Superset is lightweight and highly scalable, leveraging the power of your existing data infrastructure without requiring yet another ingestion layer. -
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Text IQ
Text IQ
We’re excited to announce that Text IQ has been acquired by Relativity, a global legal and compliance technology company. We’re thrilled to continue our mission to build the best AI for the world’s most complex and sensitive information—now on the leading platform for organizing data, discovering the truth, and acting on unstructured data. Listen to our customers share their eye-opening results applying AI to unstructured information. We’re automating some of the most time consuming and expensive aspects of your business. It’s innovation that makes a positive difference to your bottom line. We equip our customers with technology that makes a difference. See how they're getting outsized results from automating document review and discovering hidden insights. -
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Peak
Peak
A new decision intelligence system, putting AI in the hands of commercial leaders to drive great decision making. CODI, our Connected Decision Intelligence system, has been engineered by Peak to become a layer of intelligence that sits between your other systems, unleashing the power of your data for the first time. CODI enables you to quickly deploy AI solutions, harnessing the true potential of your data thanks to its unique full-stack features. It allows data science and data engineering teams to take full control of every aspect of building and deploying AI solutions, at speed and at scale. With CODI, AI projects move beyond being just experiments and become fully-deployed solutions that deliver real world value and results. Built on enterprise-grade infrastructure, CODI is capable of handling data at scale, and seamlessly integrates into existing tech stacks. Surface more insight and combine data from across your organization. -
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Percona TokuDB
Percona
Percona TokuDB® is an open source, high-performance storage engine for Percona Server for MySQL that improves scalability and operational efficiency. Designed for the demanding requirements of big data applications and large datasets, Percona TokuDB reduces the deployment costs associated with scaling and optimization efforts. Percona TokuDB and Percona Hot Backup are included in the Percona Server for MySQL download. Percona Consulting can determine if Percona TokuDB is the right storage engine solution for your business and database, and if it is, help to deploy it, while ensuring optimal performance with your open source database and mission-critical applications. If you lack the resources to manage your deployment, our managed services team can take over the full operational management of your servers, including database backup service. Lower operational and infrastructure costs and increased scalability and flexibility. -
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SOLIXCloud CDP
Solix Technologies
SOLIXCloud CDP delivers cloud data management as-a-service for modern data-driven enterprises. Built on opensource, cloud native technologies SOLIXCloud CDP helps companies manage and process all of their structured, semi-structured and unstructured data for advanced anaytics, compliance, infrastructure optimization and data security. With features such as Solix Connect for data ingestion, Solix Data Governance, Solix Metadata Management and Solix Search, SOLIXCloud CDP offers a comprehensive cloud data management application framework to build and run data-driven applications such as SQL data warehouse, machine learning and artifitial intelligience while fulfilling the ever growing data management requirements of complex data regulations, data retention and consumer data privacy. -
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SOLIXCloud
Solix Technologies
Data volume keeps growing, but not all data has equal value. Cloud data management enables forward thinking companies to reduce the cost of managing enterprise data and still provide security, compliance, performance and easy access. As content ages, it loses value, but organizations can still monetize their less current data through modern SaaS-based solutions. SOLIXCloud delivers all of the capabilities required to strike the perfect balance between historical and current data management. With a complete suite of compliance features for structured, unstructured, and semi-structured data, SOLIXCloud offers a fully managed service for all enterprise data. Solix metadata management is an end-to-end framework to explore all enterprise metadata and lineage from a centralized repository and business glossary. -
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Apache Hudi
Apache Corporation
Hudi is a rich platform to build streaming data lakes with incremental data pipelines on a self-managing database layer, while being optimized for lake engines and regular batch processing. Hudi maintains a timeline of all actions performed on the table at different instants of time that helps provide instantaneous views of the table, while also efficiently supporting retrieval of data in the order of arrival. A Hudi instant consists of the following components. Hudi provides efficient upserts, by mapping a given hoodie key consistently to a file id, via an indexing mechanism. This mapping between record key and file group/file id, never changes once the first version of a record has been written to a file. In short, the mapped file group contains all versions of a group of records. -
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Circonus IRONdb
Circonus
Circonus IRONdb makes it easy to handle and store unlimited volumes of telemetry data, easily handling billions of metric streams. Circonus IRONdb enables users to identify areas of opportunity and challenge in real time, providing forensic, predictive, and automated analytics capabilities that no other product can match. Rely on machine learning to automatically set a “new normal” as your data and operations dynamically change. Circonus IRONdb integrates with Grafana, which has native support for our analytics query language. We are also compatible with other visualization apps, such as Graphite-web. Circonus IRONdb keeps your data safe by storing multiple copies of your data in a cluster of IRONdb nodes. System administrators typically manage clustering, often spending significant time maintaining it and keeping it working. Circonus IRONdb allows operators to set and forget their cluster, and stop wasting resources manually managing their time series data store. -
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QuestDB
QuestDB
QuestDB is a relational column-oriented database designed for time series and event data. It uses SQL with extensions for time series to assist with real-time analytics. These pages cover core concepts of QuestDB, including setup steps, usage guides, and reference documentation for syntax, APIs and configuration. This section describes the architecture of QuestDB, how it stores and queries data, and introduces features and capabilities unique to the system. Designated timestamp is a core feature that enables time-oriented language capabilities and partitioning. Symbol type makes storing and retrieving repetitive strings efficient. Storage model describes how QuestDB stores records and partitions within tables. Indexes can be used for faster read access on specific columns. Partitions can be used for significant performance benefits on calculations and queries. SQL extensions allow performant time series analysis with a concise syntax. -
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Datafold
Datafold
Prevent data outages by identifying and fixing data quality issues before they get into production. Go from 0 to 100% test coverage of your data pipelines in a day. Know the impact of each code change with automatic regression testing across billions of rows. Automate change management, improve data literacy, achieve compliance, and reduce incident response time. Don’t let data incidents take you by surprise. Be the first one to know with automated anomaly detection. Datafold’s easily adjustable ML model adapts to seasonality and trend patterns in your data to construct dynamic thresholds. Save hours spent on trying to understand data. Use the Data Catalog to find relevant datasets, fields, and explore distributions easily with an intuitive UI. Get interactive full-text search, data profiling, and consolidation of metadata in one place. -
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Varada
Varada
Varada’s dynamic and adaptive big data indexing solution enables to balance performance and cost with zero data-ops. Varada’s unique big data indexing technology serves as a smart acceleration layer on your data lake, which remains the single source of truth, and runs in the customer cloud environment (VPC). Varada enables data teams to democratize data by operationalizing the entire data lake while ensuring interactive performance, without the need to move data, model or manually optimize. Our secret sauce is our ability to automatically and dynamically index relevant data, at the structure and granularity of the source. Varada enables any query to meet continuously evolving performance and concurrency requirements for users and analytics API calls, while keeping costs predictable and under control. The platform seamlessly chooses which queries to accelerate and which data to index. Varada elastically adjusts the cluster to meet demand and optimize cost and performance. -
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Lido
Lido
Connect, analyze, and visualize all of your data in a single spreadsheet. Connect your data with clicks, not code. Easily join and populate company data from 20+ of the most popular databases and SaaS applications, including Facebook, Google, and Snowflake. Create dashboards you want to share. Say goodbye to ugly charts and hours of formatting. Instantly tie data across multiple sources. Just like Excel & Google Sheets. Slice and dice your data into different views. Build a dashboard in less time than it takes to create a Jira ticket. We proxy the requests sent to external databases to monitor things and send your credentials securely over the server-side. None of the data returned by your database or third-party SaaS integrations are stored on Lido's servers. We encrypt all data, which means your in-transit data is encrypted with TLS and your at-rest data is encrypted with AES-256 making it unreadable to outside people. -
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SQLAlchemy
SQLAlchemy
SQLAlchemy is the Python SQL toolkit and object-relational mapper that gives application developers the full power and flexibility of SQL. SQL databases behave less like object collections the more size and performance start to matter; object collections behave less like tables and rows the more abstraction starts to matter. SQLAlchemy aims to accommodate both of these principles. SQLAlchemy considers the database to be a relational algebra engine, not just a collection of tables. Rows can be selected from not only tables but also joins and other select statements; any of these units can be composed into a larger structure. SQLAlchemy's expression language builds on this concept from its core. SQLAlchemy is most famous for its object-relational mapper (ORM), an optional component that provides the data mapper pattern. -
23
MOSTLY AI
MOSTLY AI
As physical customer interactions shift into digital, we can no longer rely on real-life conversations. Customers express their intents, share their needs through data. Understanding customers and testing our assumptions about them also happens through data. And privacy regulations such as GDPR and CCPA make a deep understanding even harder. The MOSTLY AI synthetic data platform bridges this ever-growing gap in customer understanding. A reliable, high-quality synthetic data generator can serve businesses in various use cases. Providing privacy-safe data alternatives is just the beginning of the story. In terms of versatility, MOSTLY AI's synthetic data platform goes further than any other synthetic data generator. MOSTLY AI's versatility and use case flexibility make it a must-have AI tool and a game-changing solution for software development and testing. From AI training to explainability, bias mitigation and governance to realistic test data with subsetting, referential integrity. -
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Hologres
Alibaba Cloud
Hologres is a cloud-native Hybrid Serving & Analytical Processing (HSAP) system that is seamlessly integrated with the big data ecosystem. You can use Hologres to analyze and process PB-scale data with high concurrency and low latency. With Hologres, you can use your business intelligence (BI) tools to analyze data in multiple dimensions and explore your business in real-time. Hologres eliminates the disadvantages of traditional real-time data warehousing solutions, such as data silos and data redundancy. It meets your requirements for data migration and real-time analysis of large volumes of data. Responds to queries on PB-scale data at sub-second speeds. This response speed allows you to analyze data in multiple dimensions and explore your business in real-time. Supports highly concurrent writes and queries at a speed of up to 100 million transactions per second (TPS). Data can be queried immediately after it is written. -
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Great Expectations
Great Expectations
Great Expectations is a shared, open standard for data quality. It helps data teams eliminate pipeline debt, through data testing, documentation, and profiling. We recommend deploying within a virtual environment. If you’re not familiar with pip, virtual environments, notebooks, or git, you may want to check out the Supporting. There are many amazing companies using great expectations these days. Check out some of our case studies with companies that we've worked closely with to understand how they are using great expectations in their data stack. Great expectations cloud is a fully managed SaaS offering. We're taking on new private alpha members for great expectations cloud, a fully managed SaaS offering. Alpha members get first access to new features and input to the roadmap. -
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Baffle
Baffle
Baffle provides universal data protection from any source to any destination to control who can see what data. Enterprises continue to battle cybersecurity threats such as ransomware, as well as breaches and losses of their data assets in public and private clouds. New data management restrictions and considerations on how it must be protected have changed how data is stored, retrieved, and analyzed. Baffle’s aim is to render data breaches and data losses irrelevant by assuming that breaches will happen. We provide a last line of defense by ensuring that unprotected data is never available to an attacker. Our data protection solutions protect data as soon as it is produced and keep it protected even while it is being processed. Baffle's transparent data security mesh for both on-premises and cloud data offers several data protection modes. Protect data on-the-fly as it moves from a source data store to a cloud database or object storage, ensuring safe consumption of sensitive data. -
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Invenis
Invenis
Invenis is a data analysis and mining platform. Clean, aggregate and analyze your data in a simple way and scale up to improve your decision making. Data harmonization, preparation and cleansing, data enrichment, and aggregation. Prediction, segmentation, recommendation. Invenis connects to all your data sources, MySQL, Oracle, Postgres SQL, HDFS (Hadoop), and allows you to analyze all your files, CSV, JSON, etc. Make predictions on all your data, without code and without the need for a team of experts. The best algorithms are automatically chosen according to your data and use cases. Repetitive tasks and your recurring analyses are automated. Save time to exploit the full potential of your data! You can work as a team, with the other analysts in your team, but also with all teams. This makes decision-making more efficient and information is disseminated to all levels of the company. -
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Integrate.io
Integrate.io
Unify Your Data Stack: Experience the first no-code data pipeline platform and power enlightened decision making. Integrate.io is the only complete set of data solutions & connectors for easy building and managing of clean, secure data pipelines. Increase your data team's output with all of the simple, powerful tools & connectors you’ll ever need in one no-code data integration platform. Empower any size team to consistently deliver projects on-time & under budget. We ensure your success by partnering with you to truly understand your needs & desired outcomes. Our only goal is to help you overachieve yours. Integrate.io's Platform includes: -No-Code ETL & Reverse ETL: Drag & drop no-code data pipelines with 220+ out-of-the-box data transformations -Easy ELT & CDC :The Fastest Data Replication On The Market -Automated API Generation: Build Automated, Secure APIs in Minutes - Data Warehouse Monitoring: Finally Understand Your Warehouse Spend - FREE Data Observability: Custom -
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Meltano
Meltano
Meltano provides the ultimate flexibility in deployment options. Own your data stack, end to end. Ever growing connector library of 300+ connectors have been running in production for years. Run workflows in isolated environments, execute end-to-end tests, and version control everything. Open source gives you the power to build your ideal data stack. Define your entire project as code and collaborate confidently with your team. The Meltano CLI enables you to rapidly create your project, making it easy to start replicating data. Meltano is designed to be the best way to run dbt to manage your transformations. Your entire data stack is defined in your project, making it simple to deploy it to production. Validate your changes in development before moving to CI, and in staging before moving to production. -
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DQ Studio
DQ Global
DQ Studio™ is a powerful, highly customizable master data management engine. With the ability to connect to over 130+ sources and targets, DQ Studio™ enables you to, extract data, execute powerful data quality workflows, and push data to its new destination, all within one low code/no code application. Connect to over 130+ sources and extract data from your legacy, on-premise, online systems, ready to be pushed to their new destination or environment. With over 25 years of experience in customer data, we have come across a wide array of data quality issues and our team is committed to delivering each individual project on time and on budget. Be assured that all your data is correctly formatted, transformed, and enriched before searching for duplicates and being inserted or updated in your business applications. Connect to over 130+ data sources and targets. Migrate from source to target, integrate between multiple systems, or consolidate many systems by utilizing our connectors.