Best Data Management Software for Python - Page 2

Compare the Top Data Management Software that integrates with Python as of June 2025 - Page 2

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

  • 1
    ScrapeOwl

    ScrapeOwl

    ScrapeOwl

    We only use the highest quality residential IP addresses to ensure reliability and uptime. Run chrome instances to scrape-at-scale without worrying about resource usage or browser and session management. Get country-specific results for platforms that use localization to display prices and descriptions like Amazon.fr vs Amazon.ae and eBay. Circumvent web security measures by getting data without triggering Catpchas on Cloudflare, Hcaptcha, Google recaptcha. Get country-specific results for platforms that use localization to display prices and descriptions like Amazon.fr vs Amazon.ae and eBay. Extract only the elements you need from a page without needing to parse html yourself. Collect products, prices, and descriptions from product listing pages on e-commerce platforms. APIs are consumed programmatically, meaning you write a program to get the data you want from websites you want to scrape and parse.
    Starting Price: $29 per month
  • 2
    Quix

    Quix

    Quix

    Building real-time apps and services require lots of components running in concert: Kafka, VPC hosting, infrastructure as code, container orchestration, observability, CI/CD, persistent volumes, databases, and much more. The Quix platform takes care of all the moving parts. You just connect your data and start building. That’s it. No provisioning clusters or configuring resources. Use Quix connectors to ingest transaction messages streamed from your financial processing systems in a virtual private cloud or on-premise data center. All data in transit is encrypted end-to-end and compressed with G-Zip and Protobuf for security and efficiency. Detect fraudulent patterns with machine learning models or rule-based algorithms. Create fraud warning messages as troubleshooting tickets or display them in support dashboards.
    Starting Price: $50 per month
  • 3
    Meteomatics

    Meteomatics

    Meteomatics

    Meteomatics specializes in high-resolution commercial weather forecasting, power output forecasting for wind, solar and hydro, weather data gathering from the lower atmosphere using Meteodrones, and weather data delivery via the Weather API. - Unlimited accesses/day - Weather data querying via URL - Unified weather data access for historical and current weather, forecasts, climate models, and data from over 25 weather models - WMS and WFS interface - Delivery of forecasts with an average response time of 20 to 30 ms - 90 m downscaling worldwide - 1800+ parameters - Historical weather data from 1979 Climate data including climate scenarios up to the year 2100 - Secured use with HTTP and HTTPS - Integration with many formats, connectors, and programming languages available - Proprietary European Weather Model with 1 km resolution – EURO1k (Business plan)
    Starting Price: $0/month/user
  • 4
    ELCA Smart Data Lake Builder
    Classical Data Lakes are often reduced to basic but cheap raw data storage, neglecting significant aspects like transformation, data quality and security. These topics are left to data scientists, who end up spending up to 80% of their time acquiring, understanding and cleaning data before they can start using their core competencies. In addition, classical Data Lakes are often implemented by separate departments using different standards and tools, which makes it harder to implement comprehensive analytical use cases. Smart Data Lakes solve these various issues by providing architectural and methodical guidelines, together with an efficient tool to build a strong high-quality data foundation. Smart Data Lakes are at the core of any modern analytics platform. Their structure easily integrates prevalent Data Science tools and open source technologies, as well as AI and ML. Their storage is cheap and scalable, supporting both unstructured data and complex data structures.
    Starting Price: Free
  • 5
    Einblick

    Einblick

    Einblick

    Einblick is the fastest and most collaborative way to explore data, create predictions, and deploy data apps. Our canvases radically change data science workflows by making it so much easier to explore, clean, and manipulate data on a novel interface. We are the only platform that let you collaborate in real-time with your whole team. Decision-making is a group activity, so let’s get everyone involved. Don’t waste time hand-tuning models. Our AutoML is focused on helping you create explainable predictions and identify key drivers without fuss. Einblick packages common analytics functionality into easy-to-use operators that let you abstract repetitive tasks and get to answers faster. From Snowflake to S3 buckets to CSV files, connect your data source and start getting to answers within minutes. Take a list of churned and current customers and join in everything you know about them. Uncover the key factors that led to churn, and identify how at-risk every customer is.
    Starting Price: $9 per month
  • 6
    Apache TinkerPop

    Apache TinkerPop

    Apache Software Foundation

    Apache TinkerPop™ is a graph computing framework for both graph databases (OLTP) and graph analytic systems (OLAP). Gremlin is the graph traversal language of Apache TinkerPop. Gremlin is a functional, data-flow language that enables users to succinctly express complex traversals on (or queries of) their application's property graph. Every Gremlin traversal is composed of a sequence of (potentially nested) steps. A graph is a structure composed of vertices and edges. Both vertices and edges can have an arbitrary number of key/value pairs called properties. Vertices denote discrete objects such as a person, a place, or an event. Edges denote relationships between vertices. For instance, a person may know another person, have been involved in an event, and/or have recently been at a particular place. If a user's domain is composed of a heterogeneous set of objects (vertices) that can be related to one another in a multitude of ways (edges).
    Starting Price: Free
  • 7
    Vega-Altair

    Vega-Altair

    Vega-Altair

    The Vega-Altair open-source project is not affiliated with Altair Engineering, Inc. With Vega-Altair, you can spend more time understanding your data and its meaning. Altair’s API is simple, friendly and consistent and built on top of the powerful Vega-Lite visualization grammar. This elegant simplicity produces beautiful and effective visualizations with a minimal amount of code. The key idea is that you are declaring links between data columns and visual encoding channels, such as the x-axis, y-axis, color, etc. The rest of the plot details are handled automatically. Building on this declarative plotting idea, a surprising range of simple to sophisticated plots and visualizations can be created using relatively concise grammar.
    Starting Price: Free
  • 8
    Matplotlib

    Matplotlib

    Matplotlib

    Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. A large number of third party packages extend and build on Matplotlib functionality, including several higher-level plotting interfaces (seaborn, HoloViews, ggplot, ...), and a projection and mapping toolkit (Cartopy).
    Starting Price: Free
  • 9
    Vald

    Vald

    Vald

    Vald is a highly scalable distributed fast approximate nearest neighbor dense vector search engine. Vald is designed and implemented based on the Cloud-Native architecture. It uses the fastest ANN Algorithm NGT to search neighbors. Vald has automatic vector indexing and index backup, and horizontal scaling which made for searching from billions of feature vector data. Vald is easy to use, feature-rich and highly customizable as you needed. Usually the graph requires locking during indexing, which cause stop-the-world. But Vald uses distributed index graph so it continues to work during indexing. Vald implements its own highly customizable Ingress/Egress filter. Which can be configured to fit the gRPC interface. Horizontal scalable on memory and cpu for your demand. Vald supports to auto backup feature using Object Storage or Persistent Volume which enables disaster recovery.
    Starting Price: Free
  • 10
    Piloterr

    Piloterr

    Piloterr

    Piloterr API handles crawlers and rotates proxies for you. Piloterr is a software platform that enables forward-thinking companies to leverage the full potential of the web. Piloterr gives you the tools and know-how to grow your business faster. We are always expanding our code and building new APIs for different search engines. You can create a feature request on our Roadmap. We aren't able to build APIs for every websites for a variety of reasons but we do always make additions where they are needed and able to be done. Only successful requests are counted towards your monthly searches. Cached, errored and failed searches are not. We are always happy to help users to be able to use our API! You can chat us and we'll try and get back to you within a single business day.
    Starting Price: $49 EUR/month
  • 11
    SerpApi

    SerpApi

    SerpApi

    Leverage our infrastructure (IPs across the globe, full browser cluster, and CAPTCHA solving technology), and exploit our structured SERP data in the way you want. In addition, each API request runs in a full browser, and we'll even solve all CAPTCHAs. Mimicking completely what a human will do. This guarantees that you get what users truly see. SerpApi uses Google’s geolocated, encrypted params and routes your request through the proxy server nearest to your desired location to ensure accuracy. Lots of structured data is available for each result, including links, addresses, tweets, prices, thumbnails, ratings, reviews, rich snippets, and more.
    Starting Price: $50 per month
  • 12
    ScrapingBypass

    ScrapingBypass

    ScrapingBypass

    ScrapingBypass Web Scraping API can bypass all anti-bot detection, Bypass Cloudflare, CAPTCHA verification, WAF, and CC protection. Provides HTTP API and Proxy with a built-in global exclusive high hidden static residential proxy IP. Includes interface address, request parameters, return processing. Also allows setting of Referrer, browser UA, headless status, and other browser fingerprint device features. Support: Python, Curl, Java, NodeJS Bypass CAPTCHA Verification Code Available to CAPTCHA, GeeTest and other verification codes Bypass Cloudflare Verification Bypass Cloudflare anti-bot scraping shield WAF, CC protection Unlimited Data Scraping Built-in one-stop global exclusive high hidden static proxy IP
    Starting Price: $5.9/3 days
  • 13
    Kedro

    Kedro

    Kedro

    Kedro is the foundation for clean data science code. It borrows concepts from software engineering and applies them to machine-learning projects. A Kedro project provides scaffolding for complex data and machine-learning pipelines. You spend less time on tedious "plumbing" and focus instead on solving new problems. Kedro standardizes how data science code is created and ensures teams collaborate to solve problems easily. Make a seamless transition from development to production with exploratory code that you can transition to reproducible, maintainable, and modular experiments. A series of lightweight data connectors is used to save and load data across many different file formats and file systems.
    Starting Price: Free
  • 14
    Tabular

    Tabular

    Tabular

    Tabular is an open table store from the creators of Apache Iceberg. Connect multiple computing engines and frameworks. Decrease query time and storage costs by up to 50%. Centralize enforcement of data access (RBAC) policies. Connect any query engine or framework, including Athena, BigQuery, Redshift, Snowflake, Databricks, Trino, Spark, and Python. Smart compaction, clustering, and other automated data services reduce storage costs and query times by up to 50%. Unify data access at the database or table. RBAC controls are simple to manage, consistently enforced, and easy to audit. Centralize your security down to the table. Tabular is easy to use plus it features high-powered ingestion, performance, and RBAC under the hood. Tabular gives you the flexibility to work with multiple “best of breed” compute engines based on their strengths. Assign privileges at the data warehouse database, table, or column level.
    Starting Price: $100 per month
  • 15
    Hue

    Hue

    Hue

    Hue brings the best querying experience with the most intelligent autocomplete and query editor components. The tables and storage browsers leverage your existing data catalog knowledge transparently. Help users find the correct data among thousands of databases and self-document it. Assist users with their SQL queries and leverage rich previews for links, sharing from the editor directly in Slack. Several apps, each one specialized in a certain type of querying are available. Data sources can be explored first via the browsers. The editor shines for SQL queries. It comes with an intelligent autocomplete, risk alerts, and self-service troubleshooting. Dashboards focus on visualizing indexed data but can also query SQL databases. You can now search for certain cell values in the table and the results are highlighted. To make your SQL editing experience, Hue comes with one of the best SQL autocomplete on the planet.
    Starting Price: Free
  • 16
    Azure Database for PostgreSQL
    Focus on application innovation, not database management, with a fully managed and intelligent Azure Database for PostgreSQL. Scale your workload quickly with ease and confidence. Enjoy high availability with a service-level agreement (SLA) of up to 99.99 percent uptime and a choice of same-zone or zone-redundant high availability, AI-powered performance recommendations, and built-in enterprise security. Focus on application innovation with a fully managed PostgreSQL database as a service. The zone-redundant high availability automates maintenance, patching, and updates. Provision in minutes and independently scale compute or storage. Decrease costs with comprehensive database monitoring and optimization tools. Take advantage of intelligent performance recommendations to help ensure peak performance. Migrate with ease using a fully managed PostgreSQL database with support for the latest versions. Build with your favorite PostgreSQL extensions such as Cron, PostGIS, PLV8, etc.
    Starting Price: $0.017 per hour
  • 17
    Azure Database for MySQL
    Focus on application development with Azure Database for MySQL, which is cost-effective and easy to set up, operate, and scale. Enjoy advanced security, high availability, and a service-level agreement (SLA) of up to 99.99 percent. Fully managed MySQL, compatible with the latest community editions, provides maximum flexibility for database operations. Intelligent performance recommendations provide custom analysis and suggestions for MySQL database optimization. Simplified development experience and tight interoperability with Azure App Service and Azure Kubernetes Service (AKS). Enterprise-grade security and compliance, and enhanced security capabilities of Microsoft Defender for Identity. Easily build or migrate your workloads to Azure Database for MySQL. Set up, manage, and automate the maintenance of your MySQL database server, including routine updates, backups, and security. Build with the latest MySQL tools, drivers, and programming languages.
    Starting Price: $0.017 per hour
  • 18
    esDynamic
    Maximize your security testing journey, from setting up your bench to analyzing your data processing results, esDynamic saves you valuable time and effort, empowering you to unleash the full potential of your attack workflow. Discover the flexible and comprehensive Python-based platform, perfectly suited for every phase of your security analysis. Customize your research space to meet your unique requirements by effortlessly adding new equipment, integrating tools, and modifying data. Additionally, esDynamic features an extensive collection of materials on complex topics that would typically require extensive research or a team of specialists, granting you instant access to expertise. Say goodbye to scattered data and fragmented knowledge. Welcome a cohesive workspace where your team can effortlessly share data and insights, fostering collaboration and accelerating discoveries. Centralize and solidify your efforts in JupyterLab notebooks to share with your team.
    Starting Price: Free
  • 19
    Yandex Data Proc
    You select the size of the cluster, node capacity, and a set of services, and Yandex Data Proc automatically creates and configures Spark and Hadoop clusters and other components. Collaborate by using Zeppelin notebooks and other web apps via a UI proxy. You get full control of your cluster with root permissions for each VM. Install your own applications and libraries on running clusters without having to restart them. Yandex Data Proc uses instance groups to automatically increase or decrease computing resources of compute subclusters based on CPU usage indicators. Data Proc allows you to create managed Hive clusters, which can reduce the probability of failures and losses caused by metadata unavailability. Save time on building ETL pipelines and pipelines for training and developing models, as well as describing other iterative tasks. The Data Proc operator is already built into Apache Airflow.
    Starting Price: $0.19 per hour
  • 20
    Forloop

    Forloop

    Forloop

    Forloop is the no-code platform for external data automation. Go beyond your internal data limitations and access the latest market data to adapt faster, track market changes, and support price strategy. Get better insights with data outside of your company. With Forloop, you don’t have to make a compromise between a platform for prototyping and production-ready pipelines in the cloud of your choice. Access and extract data from non-API sources such as websites, maps, or 3rd party platforms. Get recommendations on how to clean, join, and aggregate data according to the best data science practices. Use no-code tools to clean, join, and transform data to model-ready format in an accelerated way with intelligent algorithms solving data quality issues. Our platform helped our users to increase their KPIs even by a factor of 10. Enhance decision-making and increase growth with new data. Forloop is a desktop app that you can download & try locally.
    Starting Price: $29 per month
  • 21
    HoundDog.ai

    HoundDog.ai

    HoundDog.ai

    AI-powered code scanner designed to implement a proactive, shift-left strategy for sensitive data protection and privacy compliance. Product development outpaces privacy teams, leading to a constant need to update outdated data maps, which consumes much of their workload. Use HoundDog.ai’s AI-powered code scanner to continuously detect vulnerabilities (currently overlooked by SAST scanners) where sensitive data is exposed in plaintext through mediums such as logs, files, tokens, cookies, or third-party systems. Get essential context and remediation strategies, such as omitting sensitive data, applying masking or obfuscation, or using UUIDs instead of PII. Receive alerts when new data elements are introduced, based on their sensitivity levels, and prevent out-of-scope product changes from going live to avoid privacy incidents. Eliminate the manual and highly error-prone processes typically associated with security tasks.
    Starting Price: $200 per month
  • 22
    Alembic

    Alembic

    Alembic

    Alembic is a lightweight database migration tool that can be used with the SQLAlchemy database toolkit for Python. Alembic is written by the author of SQLAlchemy. While Alembic can be installed system-wide, it’s more common that it’s installed locally in a virtual environment, as it also uses libraries such as SQLAlchemy and database drivers that are more appropriate for local installations. Can emit statements to a database in order to change the structure of tables and other constructs. Provides a system whereby "migration scripts" may be constructed; each script indicates a particular series of steps that can "upgrade" a target database to a new version, and optionally a series of steps that can "downgrade" similarly, doing the same steps in reverse. Very open-ended and transparent configuration and operation. A new Alembic environment is generated from a set of templates which is selected among a set of options when setup first occurs.
    Starting Price: Free
  • 23
    LanceDB

    LanceDB

    LanceDB

    LanceDB is a developer-friendly, open source database for AI. From hyperscalable vector search and advanced retrieval for RAG to streaming training data and interactive exploration of large-scale AI datasets, LanceDB is the best foundation for your AI application. Installs in seconds and fits seamlessly into your existing data and AI toolchain. An embedded database (think SQLite or DuckDB) with native object storage integration, LanceDB can be deployed anywhere and easily scales to zero when not in use. From rapid prototyping to hyper-scale production, LanceDB delivers blazing-fast performance for search, analytics, and training for multimodal AI data. Leading AI companies have indexed billions of vectors and petabytes of text, images, and videos, at a fraction of the cost of other vector databases. More than just embedding. Filter, select, and stream training data directly from object storage to keep GPU utilization high.
    Starting Price: $16.03 per month
  • 24
    Tobiko

    Tobiko

    Tobiko

    Tobiko is a data transformation platform that ships data faster, more efficiently, and with fewer mistakes, backward compatible with databases. Make a dev environment without rebuilding the entire DAG. Tobiko only changes what's necessary. Don't rebuild everything when you add a column. You already built your change. Tobiko promotes prod instantly without redoing your work. Avoid debugging clunky Jinja and define your models in SQL. Tobiko works at a startup and at an enterprise scale. Tobiko understands the SQL you write and improves developer productivity by finding issues at compile time. Audits and data differences provide validation and make it easy to trust the datasets you produce. Every change is analyzed and is automatically categorized as either breaking or non-breaking. When mistakes happen, seamlessly roll back to the prior version, allowing teams to reduce downtime in production.
    Starting Price: Free
  • 25
    PuppyGraph

    PuppyGraph

    PuppyGraph

    PuppyGraph empowers you to seamlessly query one or multiple data stores as a unified graph model. Graph databases are expensive, take months to set up, and need a dedicated team. Traditional graph databases can take hours to run multi-hop queries and struggle beyond 100GB of data. A separate graph database complicates your architecture with brittle ETLs and inflates your total cost of ownership (TCO). Connect to any data source anywhere. Cross-cloud and cross-region graph analytics. No complex ETLs or data replication is required. PuppyGraph enables you to query your data as a graph by directly connecting to your data warehouses and lakes. This eliminates the need to build and maintain time-consuming ETL pipelines needed with a traditional graph database setup. No more waiting for data and failed ETL processes. PuppyGraph eradicates graph scalability issues by separating computation and storage.
    Starting Price: Free
  • 26
    Timeplus

    Timeplus

    Timeplus

    Timeplus is a simple, powerful, and cost-efficient stream processing platform. All in a single binary, easily deployed anywhere. We help data teams process streaming and historical data quickly and intuitively, in organizations of all sizes and industries. Lightweight, single binary, without dependencies. End-to-end analytic streaming and historical functionalities. 1/10 the cost of similar open source frameworks. Turn real-time market and transaction data into real-time insights. Leverage append-only streams and key-value streams to monitor financial data. Implement real-time feature pipelines using Timeplus. One platform for all infrastructure logs, metrics, and traces, the three pillars supporting observability. In Timeplus, we support a wide range of data sources in our web console UI. You can also push data via REST API, or create external streams without copying data into Timeplus.
    Starting Price: $199 per month
  • 27
    Maps Scraper AI

    Maps Scraper AI

    Maps Scraper AI

    Get local leads with the power of AI. AI-driven strategies such as generating local B2B leads from maps can be beneficial for businesses that want to target specific geographic regions. Scraping Maps data has many benefits, including lead generation, research and data science, monitoring competition, and obtaining business contact details. It can help businesses understand customer needs, research competitors, and develop new strategies. Unique ability to extract email addresses associated with listed companies, which are not typically displayed on Maps. Batch search capability to search for multiple keywords simultaneously, streamlining the process. Lightning-fast results and time savings by providing instant, accurate insights without the need to build and test a custom web scraping tool. Mimics real user behavior using Chrome, reducing the risk of being blocked by Maps. Allows data extraction from Maps without writing any code.
    Starting Price: $9.99 per month
  • 28
    Taipy

    Taipy

    Taipy

    From simple pilots to production-ready web applications in no time. No more compromise on performance, customization, and scalability. Taipy enhances performance with caching control of graphical events, optimizing rendering by selectively updating graphical components only upon interaction. Effortlessly manage massive datasets with Taipy's built-in decimator for charts, intelligently reducing the number of data points to save time and memory without losing the essence of your data's shape. Struggle with sluggish performance and excessive memory usage, as every data point demands processing. Large datasets become cumbersome, complicating the user experience and data analysis. Scenarios are made easy with Taipy Studio. A powerful VS Code extension that unlocks a convenient graphical editor. Get your methods invoked at a certain time or intervals. Enjoy a variety of predefined themes or build your own.
    Starting Price: $360 per month
  • 29
    Peaka

    Peaka

    Peaka

    Integrate all your data sources, relational and NoSQL databases, SaaS tools, and APIs. Query them as a single data source immediately. Process data wherever it is. Query, cache, and blend data from different sources. Use webhooks to ingest streaming data from Kafka, Segment, etc., into the Peaka BI Table. Replace nightly one-time batch ingestion with real-time data access. Treat every data source like a relational database. Convert any API to a table, and blend and join it with your other data sources. Use the familiar SQL to run queries in NoSQL databases. Retrieve data from both SQL and NoSQL databases utilizing the same skill set. Query and filter your consolidated data to form new data sets. Expose them with APIs to serve other apps and systems. Do not get bogged down in scripts and logs while setting up your data stack. Eliminate the burden of building, managing, and maintaining ETL pipelines.
    Starting Price: $1 per month
  • 30
    Apache Phoenix

    Apache Phoenix

    Apache Software Foundation

    Apache Phoenix enables OLTP and operational analytics in Hadoop for low-latency applications by combining the best of both worlds. The power of standard SQL and JDBC APIs with full ACID transaction capabilities and the flexibility of late-bound, schema-on-read capabilities from the NoSQL world by leveraging HBase as its backing store. Apache Phoenix is fully integrated with other Hadoop products such as Spark, Hive, Pig, Flume, and Map Reduce. Become the trusted data platform for OLTP and operational analytics for Hadoop through well-defined, industry-standard APIs. Apache Phoenix takes your SQL query, compiles it into a series of HBase scans, and orchestrates the running of those scans to produce regular JDBC result sets. Direct use of the HBase API, along with coprocessors and custom filters, results in performance on the order of milliseconds for small queries, or seconds for tens of millions of rows.
    Starting Price: Free