Page 12 | Best Data Management Software for PostgreSQL

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 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

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’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

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 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.

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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 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 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 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

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 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.

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DigDash

Every day, your business generates countless data. Used correctly, this data is invaluable. Aggregated together, this strategic information opens up an ocean of opportunities. Expert in business intelligence, DigDash accompanies you through a reliable solution to simply exploit your data and increase your performance today. From design to deployment, from questions of use to development needs, DigDash is by your side for the long term, in a close relationship. In a desire for continuous improvement, flexibility is at the heart of our DNA. Our software stands out for its ease of use at all levels. The solution is recognized as one of the most powerful on the market. Whatever your operational vision, our tool adapts to your business specificities. Thanks to enlightened real-time visibility on all your activities, from marketing to finance, from sales to HR, your managers are able to make rational decisions at the right time.

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Semarchy xDI

Semarchy

Experience Semarchy’s flexible unified data platform to empower better business decisions enterprise-wide. Integrate all your data with xDI, the high-performance, agile, and extensible data integration for all styles and use cases. Its single technology federates all forms of data integration, and mapping converts business rules into deployable code. xDI has extensible and open architecture supporting on-premise, cloud, hybrid, and multi-cloud environments.

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Metaphor

Metaphor Data

Automatically indexed warehouses, lakes, dashboards, and other pieces of your data stack. Combined with utilization, lineage, and other social popularity signals, Metaphor lets you show the most trusted data to your users. Provide an open 360 view of your data and conversations about data to everyone in the organization. Meet your customers where they are - share artifacts from the catalog including documentation, natively via Slack. Tag insightful Slack conversations and associate them with data. Collaborate across silos by the organic discovery of important terms and usage patterns. Easily discover data across the entire stack, write technical details and Business friendly wiki that is easily consumed by non-technical users. Support your users directly in Slack and use the catalog as a Data Enablement tool to quickly onboard users for a more personalized experience.

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Polytomic

From your app database, data warehouse, spreadsheets, or even arbitrary APIs. No coding is required. See a live view of all the customer data you need right in Salesforce, Marketo, HubSpot, and other business systems. Automatically pipe combined data from any number of databases, data warehouses, spreadsheets, and APIs. Choose which fields to sync so you only get the data you care about. Integrate with all of your favorite tools at the click of a button. Point-and-click interface to sync the data you need from your databases and spreadsheets to your business applications. Give your customer success and sales teams a full view of all your customer data right from their sales CRM. Automatic syncs from your data warehouses and databases to all business systems and spreadsheets. See all proprietary user and company attributes automatically synced to your CRM. Give your support team an instant live view of the customer data they need right from their support system.

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TABEX4

BOI Software

TABEX4 runs on all common operating systems and is applicable throughout the company – both on mainframe and server systems. Tables can be maintained efficiently and safely, independent of platform or database. TABEX4 supports import of table data from other software products and memory forms through optimized APIs. Export is possible in diverse ways as well: e.g. pdf, e-mail and other data or store formats. Our TABEX4 FAQs offer you a profound overview of important TABEX4 topics. In the TABEX4 Wiki you will gain expert knowledge about technical questions and challenges. Master public audits smoothly: TABEX4 places absolute priority to transparency and security in processing master data and control data. The TABEX4 Relational Bridge extends TABEX4 by interfaces to relational databases and makes the entire TABEX4 functions available for RDBs.

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rudol

Unify your data catalog, reduce communication overhead and enable quality control to any member of your company, all without deploying or installing anything. rudol is a data quality platform that helps companies understand all their data sources, no matter where they come from; reduces excessive communication in reporting processes or urgencies; and enables data quality diagnosing and issue prevention to all the company, through easy steps With rudol, each organization is able to add data sources from a growing list of providers and BI tools with a standardized structure, including MySQL, PostgreSQL, Airflow, Redshift, Snowflake, Kafka, S3*, BigQuery*, MongoDB*, Tableau*, PowerBI*, Looker* (* in development). So, regardless of where it’s coming from, people can understand where and how the data is stored, read and collaborate with its documentation, or easily contact data owners using our integrations.

Starting Price: $0

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RATH

Kanaries Data

RATH is beyond an open-source alternative to Data Analysis and Visualization tools such as Tableau. It automates your Exploratory Data Analysis workflow with an Augmented Analytic engine and auto generate multi-dimensional data visualization. Features: 🤖 Mega-auto exploration: Augmented analytic engine for discovering patterns, insights, and causals. A fully-automated way to explore and visualize datasets with one click. 👓 Data Wrangler: Automated data wrangler for generating a summary of the data and data transformation. 🛠 Semi-auto exploration: Never get lost again in Data Exploration. RATH progressively recommends your directions for Data Exploration. 🎨 Data painter: Having complex visual patterns that are difficult to grasp? Use Data Painter to instantly identify and get automatic explanations. 📊 Dashboard: build a beautiful interactive data dashboard 🚧 Causal Analysis: Provide causal discovery and explanations for complex relation analysis.

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SQLPro

Native and ready for Big Sur. Using the latest features of macOS, but still supporting Catalina and Mojave. Coming from Microsoft SQL Management Studio? Our interface and workflow is similar to what you are used to with a few of our own improvements. Working with Amazon or Azure relational database service? No problem, SQLPro for MySQL supports MySQL 5.0 and above, including cloud instances. Need to see the results for multiple tables at once? You can execute multiple queries and have the results for each displayed at the same time, including any errors and messages.

Starting Price: $6.37 per month

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AI2sql

AI2sql.io

With AI2sql, engineers and non-engineers can easily write efficient, error-free SQL queries without knowing SQL. All you need to do is enter a few keywords about your data - AI2sql automatically builds an optimized SQL query for your data resulting in extremely fast performance. We wanted to share some exciting numbers with you about how many people have tried out AI2sql, and what they've been able to accomplish with it. To get the best results with AI2sql, it is important to clearly define your goals and use the tool's customization options, test and verify the generated SQL. You can also try changing the prompts or input used to generate the SQL statements to see if this results in more accurate or efficient queries.

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Waveline

You get dozens of daily e-mails, but only some need your immediate attention, so the e-mail classifier below helps you maintain an organized inbox. For customer complaints, we summarize the main issue and notify #customer-support on Slack. Delayed orders go into #customer-relation. After a customer call with your support agent, you want to stay informed on what happened. Instead of listening to the whole call, create a Waveline flow that summarizes the main points. Many people experience writer's block when writing text. Quickly build an internal tool with Waveline that automatically gathers information about the recipient from LinkedIn and a Google search to generate a highly personalized first draft. Parse unstructured data and repackaged it into a structured format. Waveline uses LLMs to extract information from text, images, and more.

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AI Query

Use simple English and let AI do the heavy lifting for you. With AI Query anyone can create efficient SQL queries, without even knowing a thing about it. Once your database schema is ready, you can easily generate SQL queries with simple text prompts. Let the AI do the work for you.

Starting Price: $10 per month

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Best Data Management Software for PostgreSQL - Page 12

Compare the Top Data Management Software that integrates with PostgreSQL as of July 2025 - Page 12