Best Data Management Software for Windows - Page 33

Compare the Top Data Management Software for Windows as of November 2026 - Page 33

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    JanusGraph

    JanusGraph

    JanusGraph

    JanusGraph is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. JanusGraph is a project under The Linux Foundation, and includes participants from Expero, Google, GRAKN.AI, Hortonworks, IBM and Amazon. Elastic and linear scalability for a growing data and user base. Data distribution and replication for performance and fault tolerance. Multi-datacenter high availability and hot backups. All functionality is totally free. No need to buy commercial licenses. JanusGraph is fully open source under the Apache 2 license. JanusGraph is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time. Support for ACID and eventual consistency. In addition to online transactional processing (OLTP), JanusGraph supports global graph analytics (OLAP) with its Apache Spark integration.
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    Sparksee

    Sparksee

    Sparsity Technologies

    Sparksee (formerly known as DEX), makes space and performance compatible with a small footprint and a fast analysis of large networks. It is natively available for .Net, C++, Python, Objective-C and Java, and covers the whole spectrum of Operating Systems. The graph is represented through bitmap data structures that allow high compression rates. Each of the bitmaps is partitioned into chunks that fit into disk pages to improve I/O locality. Using bitmaps, operations are computed with binary logic instructions that simplify the execution in pipelined processors. Full native indexing allows an extremely fast access to each of the graph data structures. Node adjacencies are represented by bitmaps to minimize their footprint. The number of times each data page is brought to memory is minimized with advanced I/O policies. Each value in the database is represented only once, avoiding unnecessary replication.
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    Microsoft Power Query
    Power Query is the easiest way to connect, extract, transform and load data from a wide range of sources. Power Query is a data transformation and data preparation engine. Power Query comes with a graphical interface for getting data from sources and a Power Query Editor for applying transformations. Because the engine is available in many products and services, the destination where the data will be stored depends on where Power Query was used. Using Power Query, you can perform the extract, transform, and load (ETL) processing of data. Microsoft’s Data Connectivity and Data Preparation technology that lets you seamlessly access data stored in hundreds of sources and reshape it to fit your needs—all with an easy to use, engaging, no-code experience. Power Query supports hundreds of data sources with built-in connectors, generic interfaces (such as REST APIs, ODBC, OLE, DB and OData) and the Power Query SDK to build your own connectors.
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    DataPreparator

    DataPreparator

    DataPreparator

    DataPreparator is a free software tool designed to assist with common tasks of data preparation (or data preprocessing) in data analysis and data mining. DataPreparator can assist you with exploring and preparing data in various ways prior to data analysis or data mining. It includes operators for cleaning, discretization, numeration, scaling, attribute selection, missing values, outliers, statistics, visualization, balancing, sampling, row selection, and several other tasks. Data access from text files, relational databases, and Excel workbooks. Handling of large volumes of data (since data sets are not stored in the computer memory, with the exception of Excel workbooks and result sets of some databases where database drivers do not support data streaming). Stand alone tool, independent of any other tools. User friendly graphical user interface. Operator chaining to create sequences of preprocessing transformations (operator tree). Creating of model tree for test/execution data.
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    Inmagic DB/TextWorks
    Inmagic DB/TextWorks combines a database management system with powerful search capabilities, and can be customized and managed by non-IT staff to organize information and share knowledge throughout an organization. Inmagic® DB/TextWorks® is a special combination of database and text retrieval software that enables you to build “textbases” (text / multi-media databases) to manage diverse types of information including bibliographic catalogs, documents, images, multimedia, etc. DB/TextWorks runs on Windows Operating systems and can be used on a single PC or in a networked environment. DB/TextWorks texbases can be made web accessible via DB/Text WebPublisher PRO. DB/TextWorks combines a database management system and a text retrieval system. It’s easy to use and does not require any programming. This combination delivers a powerful, flexible system that can be used by non-IT staff to organize information and share knowledge throughout an organization.
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    Dqlite

    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
    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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    jBASE

    jBASE

    jBASE

    The future of your PICK system requires a database platform that continually evolves to meet the needs of today’s developers. jBASE is now officially certified for Docker containers, including built-in support for the MongoDB NoSQL database, and standard APIs for Salesforce, Avalara, and dozens of other platforms. Plus new enhancements to Objects that make life easier for developers. We are continuing to invest in jBASE because we believe in PICK! While others see a decline, we’ve seen 6 years of consecutive growth. We care about your long-term success and haven’t had a maintenance price increase in decades. We play well with others by collaborating and making jBASE integrate with modern technologies like VSCode, Mongo, Docker, and Salesforce. The migration routes from other PICK databases have been vastly simplified, licensing now supports flexible CPU and SaaS-based models, and our in-line operating system approach means our scalability, speed and stability are unmatched.
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    Sonic XML Server

    Sonic XML Server

    Progress Technologies

    Sonic XML Server ™ is a set of high-speed processing, storage and query services for XML documents required to manage Sonic ESB operational data. By processing XML messages in native XML format, XML Server is very fast and does not place restrictions on the XML message schema. The advent of Extensible Markup Language (XML), a true hardware and software independent data format, was a revolutionary step forward. Because XML describes information independently of a specific system or application data formatting rules, XML is a key technology for supporting flexible exchange of heterogeneous data. However, this flexibility can take a lot of time and resources to process the XML format. Sonic XML Server provides fast processing of operational data and storage of XML messages required to efficiently implement a service-oriented architecture. Sonic XML Server extends and enhances Sonic ESB's XML message processing model by providing native query, storage and processing services.
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    Sedna

    Sedna

    Sedna

    Sedna is a free native XML database which provides a full range of core database services - persistent storage, ACID transactions, security, indices, hot backup. Flexible XML processing facilities include W3C XQuery implementation, tight integration of XQuery with full-text search facilities and a node-level update language. It provides a number of easy exampes which can be run directly in command line and describes how to run examples provided with Sedna. Sedna distribution comes with an example set based on the XMark XML benchmark. This set allows you to investigate the features of Sedna easily. Examples include bulk load of a sample XML document and a number of sample XQuery queries and updates to this document. Below we will show how to run one of them.
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    Q-Bot

    Q-Bot

    bi3 Technologies

    Qbot is an Automated test engine, purpose build for data quality. It enabling large, complex data platform but environment & ETL or Database technology agnostic. It can be used for ETL Testing, ETL platform upgrades, Database Upgrades, Cloud migration or Big Data migration Qbot deliver trusted quality data at the speed you never seen before. One of the most comprehensive Data quality automation engines built with: data security, scalability, speed and most extensive test library. Here the user can directly pass the SQL Query while configuring the test group. We currently support the below database servers for source and target database tables.
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    LevelDB

    LevelDB

    Google

    LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values. Keys and values are arbitrary byte arrays. Data is stored sorted by key. Callers can provide a custom comparison function to override the sort order. Multiple changes can be made in one atomic batch. Users can create a transient snapshot to get a consistent view of data. Forward and backward iteration is supported over the data. Data is automatically compressed using the Snappy compression library. External activity (file system operations etc.) is relayed through a virtual interface so users can customize the operating system interactions. We use a database with a million entries. Each entry has a 16 byte key, and a 100 byte value. Values used by the benchmark compress to about half their original size. We list the performance of reading sequentially in both the forward and reverse direction, and also the performance of a random lookup.
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    Salesforce Data Loader
    Data Loader is a client application for the bulk import or export of data. Use it to insert, update, delete, or export Salesforce records. When importing data, Data Loader reads, extracts, and loads data from comma-separated values (CSV) files or from a database connection. When exporting data, it outputs CSV files. User interface—When you use the user interface, you work interactively to specify the configuration parameters, CSV files used for import and export, and the field mappings that map the field names in your import file with the field names in Salesforce. Drag-and-drop field mapping. Support for all objects, including custom objects.
  • 14
    Doble Test Data Management

    Doble Test Data Management

    Doble Engineering Company

    Standardizing testing and data management processes across a division or company can be a complex and time-consuming project. Many organizations will perform data quality assurance reviews when beginning a field force automation or enterprise asset management initiative in order to ensure data integrity and support the successful roll-outs of large-scale projects. Doble has developed a number of data-focused solutions to help eliminate manual and redundant work processes allowing you to standardize the collection, storage and organization of your asset test data. As necessary, Doble can provide clients high-level, data governance project management supervisory services to reinforce good data management practices. Connect with your Doble Representative for self-help guides and additional training. Doble Database supports good data management governance by capturing data and backing up files on network in logical folder structure.
  • 15
    rsync

    rsync

    rsync

    rsync is an open source utility that provides fast incremental file transfer. rsync is freely available under the GNU General Public License. The GPG signing key that is used to sign the release files is available from the public pgp key-server network. If you have automatic key-fetching enabled, just running a normal "gpg --verify" will grab my key automatically. Or, feel free to grab the gpp key for Wayne Davison manually. rsync is a file transfer program for Unix systems. rsync uses the "rsync algorithm" which provides a very fast method for bringing remote files into sync. It does this by sending just the differences in the files across the link, without requiring that both sets of files are present at one of the ends of the link beforehand. Optionally preserves symbolic links, hard links, file ownership, permissions, devices and times. Internal pipelining reduces latency for multiple files.
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    Quantexa

    Quantexa

    Quantexa

    Uncover hidden risk and reveal new, unexpected opportunities with graph analytics across the customer lifecycle. Standard MDM solutions are not built for high volumes of distributed, disparate data, that is generated by various applications and external sources. Traditional MDM probabilistic matching doesn’t work well with siloed data sources. It misses connections, losing context, leads to decision-making inaccuracy, and leaves business value on the table. An ineffective MDM solution affects everything from customer experience to operational performance. Without on-demand visibility of holistic payment patterns, trends and risk, your team can’t make the right decisions quickly, compliance costs escalate, and you can’t increase coverage fast enough. Your data isn’t connected – so customers suffer fragmented experiences across channels, business lines and geographies. Attempts at personalized engagement fall short as these are based on partial, often outdated data.
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     Nios4

    Nios4

    Nios4

    Preset modules and sections, low-code editing tools and features ready to use. Everything you need to manage your data. Take advantage of Windows and Mac to create your perfect ERP. Even without the cloud. Thanks to the Android and iOS apps, you will always have your databases with you. Even without the internet. Work with your favorite browsers wherever you want. Each template has dozens of ready-to-install components to suit your way of working. In addition to permissions, you can assign data to one or more users. Each user thus sees only his data and those you decide. Nios4 allows use even on a single device without data sharing (but you miss the beauty of the system). Create as many sections as you want and best display the data in your tables. Thanks to the integrated GPS functions, you can mark the position of where your data is collected.
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    VGSTUDIO

    VGSTUDIO

    Hexagon AB

    VGSTUDIO is a 3D visualization and inspection software solution for working with CT scan data in industrial and research environments. The software helps users reconstruct 3D volume data sets from CT scanner images and visualize them in both 2D and 3D. It is used for visual quality inspection in industries such as electronics as well as academic research fields like archaeology, geology, and life sciences. VGSTUDIO supports the full workflow from data reconstruction to analysis-ready visualization. Users can create detailed visual outputs and animations that make complex internal structures easier to understand and present. By combining precise CT data reconstruction with high-quality visualization tools, VGSTUDIO helps teams inspect, study, and communicate 3D volume data more effectively.
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    PoINT Data Replicator

    PoINT Data Replicator

    PoINT Software & Systems

    Today, organizations are typically storing unstructured data in file systems and increasingly in object and cloud storage. Cloud and object storage have numerous advantages, particularly with regard to inactive data. This leads to the requirement to migrate or replicate files (e.g. from legacy NAS) to cloud or object storage. More and more data is stored in cloud and object storage. This has created an underestimated security risk. In most cases, data stored in the cloud or in on-premises object storage is not backed up, as it is believed to be secure. This assumption is negligent and risky. High availability and redundancy as offered by cloud services and object storage products do not protect against human error, ransomware, malware, or technology failure. Thus, also cloud and object data need backup or replication, most appropriately on a separate storage technology, at a different location and in the original format as stored in the cloud and object storage.
  • 20
    IBM ProtecTIER
    ProtecTIER® is a disk-based data storage system. It uses data deduplication technology to store data to disk arrays. With Feature Code 9022, the ProtecTIER Virtual Tape Library (VTL) service emulates traditional automated tape libraries. With Feature Code 9024, a stand-alone TS7650G can be configured as FSI. Several software applications run on various TS7650G components and configurations. The ProtecTIER Manager workstation is a customer-supplied workstation that runs the ProtecTIER Manager software. The ProtecTIER Manager software provides the management GUI interface to the TS7650G. The ProtecTIER VTL service emulates traditional tape libraries. By emulating tape libraries, ProtecTIER VTL provides the capability to transition to disk backup without having to replace your entire backup environment. Your existing backup application can access virtual robots to move virtual cartridges between virtual slots and drives.
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    Apache Kudu

    Apache Kudu

    The Apache Software Foundation

    A Kudu cluster stores tables that look just like tables you're used to from relational (SQL) databases. A table can be as simple as a binary key and value, or as complex as a few hundred different strongly-typed attributes. Just like SQL, every table has a primary key made up of one or more columns. This might be a single column like a unique user identifier, or a compound key such as a (host, metric, timestamp) tuple for a machine time-series database. Rows can be efficiently read, updated, or deleted by their primary key. Kudu's simple data model makes it a breeze to port legacy applications or build new ones, no need to worry about how to encode your data into binary blobs or make sense of a huge database full of hard-to-interpret JSON. Tables are self-describing, so you can use standard tools like SQL engines or Spark to analyze your data. Kudu's APIs are designed to be easy to use.
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    Apache Parquet

    Apache Parquet

    The Apache Software Foundation

    We created Parquet to make the advantages of compressed, efficient columnar data representation available to any project in the Hadoop ecosystem. Parquet is built from the ground up with complex nested data structures in mind, and uses the record shredding and assembly algorithm described in the Dremel paper. We believe this approach is superior to simple flattening of nested namespaces. Parquet is built to support very efficient compression and encoding schemes. Multiple projects have demonstrated the performance impact of applying the right compression and encoding scheme to the data. Parquet allows compression schemes to be specified on a per-column level, and is future-proofed to allow adding more encodings as they are invented and implemented. Parquet is built to be used by anyone. The Hadoop ecosystem is rich with data processing frameworks, and we are not interested in playing favorites.
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    qikkDB

    qikkDB

    qikkDB

    QikkDB is a GPU accelerated columnar database, delivering stellar performance for complex polygon operations and big data analytics. When you count your data in billions and want to see real-time results you need qikkDB. We support Windows and Linux operating systems. We use Google Tests as the testing framework. There are hundreds of unit tests and tens of integration tests in the project. For development on Windows, Microsoft Visual Studio 2019 is recommended, and its dependencies are CUDA version 10.2 minimal, CMake 3.15 or newer, vcpkg, boost. For development on Linux, the dependencies are CUDA version 10.2 minimal, CMake 3.15 or newer, and boost. This project is licensed under the Apache License, Version 2.0. You can use an installation script or dockerfile to install qikkDB.
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    RRDtool

    RRDtool

    RRDtool

    RRDtool is the OpenSource industry standard, high performance data logging and graphing system for time series data. RRDtool can be easily integrated in shell scripts, perl, python, ruby, lua or tcl applications.
  • 25
    Cloudera Data Platform
    Unlock the potential of private and public clouds with the only hybrid data platform for modern data architectures with data anywhere. Cloudera is a hybrid data platform designed for unmatched freedom to choose—any cloud, any analytics, any data. Cloudera delivers faster and easier data management and data analytics for data anywhere, with optimal performance, scalability, and security. With Cloudera you get all the advantages of private cloud and public cloud for faster time to value and increased IT control. Cloudera provides the freedom to securely move data, applications, and users bi-directionally between the data center and multiple data clouds, regardless of where your data lives.
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    Amadea

    Amadea

    ISoft

    Amadea technology relies on the fastest real-time calculation and modeling engine on the market. Speed up the creation, deployment and automation of your analytics projects within the same integrated environment. Data quality is the key to analytical projects. Thanks to the ISoft real-time calculation engine, the fastest on the market, Amadea allows companies to prepare and use massive and/or complex data in real-time, regardless of the volume. ISoft started from a simple observation, successful analytical projects must involve the business users at every stage. Founded on a no-code interface, accessible to all types of users, Amadea allows everyone involved in analytical projects to take part. As Amadea has the fastest real-time calculation engine on the market, it lets you specify, prototype and build your data applications simultaneously. Amadea incorporates the fastest real-time data analysis engine on the market, 10 million lines per second & per core for standard calculations.
  • 27
    IBM InfoSphere Optim Data Privacy
    IBM InfoSphere® Optim™ Data Privacy provides extensive capabilities to effectively mask sensitive data across non-production environments, such as development, testing, QA or training. To protect confidential data this single offering provides a variety of transformation techniques that substitute sensitive information with realistic, fully functional masked data. Examples of masking techniques include substrings, arithmetic expressions, random or sequential number generation, date aging, and concatenation. The contextually accurate masking capabilities help masked data retain a similar format to the original information. Apply a range of masking techniques on-demand to transform personally-identifying information and confidential corporate data in applications, databases and reports. Data masking features help you to prevent misuse of information by masking, obfuscating, and privatizing personal information that is disseminated across non-production environments.
  • 28
    Abstracta
    Data abstraction on any data source at your fingertips without any need for deployment. Everything is managed in the cloud with no presence at the data source. Abstracta helps in unifying all data sources. It simplifies and streamlines interaction with data sources. Restify data as a service with our proprietary service builder feature. Empower business users to perform on-the-fly data analysis with self-service capabilities. Accelerate data security initiatives much faster than you would have imagined. Our innovative profiling tags simplify data authorization. Fortify data with row & column-level access control policies. Empower businesses to protect & monitor data access patterns. Let data governance initiatives leap with our innovative flagship product Abstracta™. Protect business from internal & external security threats. Ekahaa believes in scale with simplicity for 10X growth. With its fluid UI design, any data can be exposed as a service in 2 minutes.
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    Squid

    Squid

    Squid

    Squid is a caching proxy for the Web supporting HTTP, HTTPS, FTP, and more. It reduces bandwidth and improves response times by caching and reusing frequently-requested web pages. Squid has extensive access controls and makes a great server accelerator. It runs on most available operating systems, including Windows, and is licensed under the GNU GPL. Squid is used by hundreds of Internet Providers worldwide to provide their users with the best possible web access. Squid optimizes the data flow between client and server to improve performance and caches frequently-used content to save bandwidth. Squid can also route content requests to servers in a wide variety of ways to build cache server hierarchies that optimize network throughput. Thousands of websites around the Internet use Squid to drastically increase their content delivery. Squid can reduce your server load and improve delivery speeds to clients.
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    Eficaz

    Eficaz

    Lera Technologies

    Eficaz data warehousing solutions by Lera Technologies creates a centralized data management platform that is instrumental in defining data models, data semantics and profile data, beyond sharing data preparations and datasets. Eficaz DW suite enables Business Intelligence reporting and visualization, thus offering a complete framework to accelerate flexible analytics through daily reports and dashboards.
    Starting Price: $0